20,616 Principal Data Engineer jobs in the United States

Principal Data Engineer

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Date:Sep 27, 2025

Location: Irvine, CA, US

Company: Skyworks

If you are looking for a challenging and exciting career in the world of technology, then look no further. Skyworks is an innovator of high-performance analog semiconductors whose solutions are powering the wireless networking revolution. Through our broad technology expertise and one of the most extensive product portfolios in the industry, we are Connecting Everyone and Everything, All the Time.

At Skyworks, you will find a fast-paced environment with a strong focus on global collaboration, minimal layers of management, and the freedom to make meaningful contributions in a setting that encourages creative thinking. We are excited about the opportunity to work with you and glad you want to be part of a team of talented individuals who together are changing the way the world communicates.

Requisition ID: 76055

Description

We are seeking a highly experienced Principal Data Engineer to lead the design and implementation of scalable, high-performance data solutions. This role will focus on cloud-native architectures using Azure, Databricks, Kafka, Spark, and other modern data technologies. You will play a key role in shaping our data strategy, mentoring engineering teams, and driving innovation across our data platforms.

Key Responsibilities

• Architect and implement scalable data pipelines using Apache Spark, Databricks, and Azure Data Factory.

• Lead the development of real-time streaming solutions using Apache Kafka.

• Design and optimize ETL/ELT workflows for structured and unstructured data.

• Build and maintain distributed data systems using Cassandra, Delta Lake, and other modern data stores.

• Utilize Delta Live Tables (DLT) to create reliable, maintainable, and testable batch and streaming pipelines.

• Integrate Databricks with Azure Machine Learning, Azure Synapse, and other cloud services.

• Implement CI/CD pipelines using Azure DevOps, Terraform.

• Collaborate with data scientists to deploy and manage ML models using MLflow.

• Ensure data quality, governance, and security across all engineering efforts.

• Troubleshoot and resolve issues in data models, workflows, and infrastructure.

• Design and maintain data models for cloud data warehouses such as Snowflake or Databricks.

• Apply advanced techniques like data partitioning, indexing, and compression to optimize performance and storage.

• Develop disaster recovery plans and backup strategies to ensure business continuity.

• Mentor junior engineers and foster a culture of technical excellence and innovation.

• Stay current with emerging technologies and recommend strategic adoption where appropriate.

• Collaborate with global Agile teams to deliver high-quality solutions.

Qualificiations

• Bachelor's degree and 12+ years of experience in data engineering, with at least 3 years in a principal or lead role.

• Expertise in Azure, Databricks, Apache Spark, Kafka, and Cassandra.

• Strong programming skills in Python, SQL, and Scala.

• Experience with distributed systems, data modeling, and data warehousing.

• Familiarity with machine learning pipelines, MLOps, and cloud-native architectures.

• Proven ability to lead cross-functional teams and deliver complex data solutions.

• Excellent communication, problem-solving, and leadership skills.

• Exposure to big data tools and distributed computing.

• Certifications in Azure or Databricks are a plus.

#LI-SJ1

The typical base pay range for this role across the U.S. is currently USD $126,500 - $241,700 per year. Starting base pay will depend on relevant experience and skills, training and education, business needs, market demands, the ultimate job duties and requirements, and work location. Skyworks has different base pay ranges for different work locations in the U.S. Benefits include access to healthcare benefits (including a premium-free medical plan option), a 401(k) plan and company match, an employee stock purchase plan, paid time off (including vacation, sick/wellness, parental leave), among others. Employees are eligible to participate in an incentive plan, and certain roles are also eligible for additional awards, including recognition and stock. These incentives and awards are based on individual and/or company performance.

Skyworks is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Skyworks strives to create an accessible workplace; if you need an accommodation due to a disability, please contact us at

Nearest Major Market:Irvine CaliforniaNearest Secondary Market:Los Angeles Job Segment: Cloud, Data Warehouse, Network, Telecom, Telecommunications, Technology

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Job DescriptionJob Description

Americor is a leading provider of debt relief solutions for people of all backgrounds. We offer various services to help our clients achieve financial freedom, including debt consolidation loans, debt settlement, and credit repair. Our dedication to others sets us apart – not only as a company but as a community of employees who support each other’s personal and professional growth. Recognized as a ‘Top Place to Work’ and ‘Best Company’ for our outstanding service and commitment to excellence.

We are currently seeking a Principal/Lead Analytics Engineer to join our rapidly growing team.  Specific job title and offer to align with the qualifications of the candidate.

*Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time

Compensation: $120,000-$150,000 annually, dependent on experience. 

Location: Irvine, CA. Hybrid (In-office every Tuesday).

Schedule: Monday–Friday, with weekend on-call availability required as needed.

Responsibilities:

• Own bridge between data engineering, data science, and business intelligence for data analytics.
• Build and maintain ETL/ELT processes using Airflow, dbt, and custom Python scripts.
• Design and implement scalable, robust, and efficient data pipelines.
• Demonstrate and ensure best practices for data security, data validation and data quality are in place and maintained.
• Stay current with the latest trends and developments in data engineering; champion internal adoption and change management of the latest practices.
• Other duties as assigned.

Requirements:

• 7+ years of relevant experience.
• Advanced proficiency with Python.
• Advanced proficiency with SQL.
• Experience with dbt core cli .
• Advanced skills with database architecture and data pipelining.
• Experience utilizing cloud services to develop ETL/ELT pipelines; AWS Lambda, S3, etc., .
• Experience using orchestrator, scheduling, and monitoring tools; Airflow and cron .
• Experience leveraging git for codebase source control; experience developing GitHub/Bitbucket CI/CD pipelines .
• Experience with Docker and docker-compose .
• Proven ability to position oneself to advise and teach across a data organization.
• Excellent verbal, written, and interpersonal communication skills.

Education:

• Bachelor's degree in a quantitative field or equivalent experience.
•  Master’s degree .

Company Benefits:

• Ongoing training and development
• Opportunity for career advancement
• Medical
• Dental
• Vision
• Company Paid Group Life / AD&D Insurance
• 7 Paid Holidays and 2 Floating Holiday Days to use at will
• Paid Time Off
• Flexible Spending/HSA
• Employee Assistance Program (EAP)
• 401(k) match
• Referral Program

Americor is proud to be an Equal Opportunity Employer. Americor does not discriminate based on , , , , veteran, military status, , , creed, , or expression, , marital status, genetic information, or any other basis prohibited by local, state, or federal law.

* Note to Agencies: Americor Funding, Inc. (the “Company”) has an internal recruiting department. Americor Funding Inc. may supplement that internal capability from time to time with assistance from temporary staffing agencies, placement services, and professional recruiters (“Agency”). Agencies are hereby specifically directed NOT to contact Americor Funding Inc. employees directly in an attempt to present candidates. The Company’s policy is for the internal recruiting team or other authorized personnel to present ALL candidates to hiring managers. Any unsolicited resumes sent to Americor Funding Inc. from a third party, such as an Agency, including unsolicited resumes sent to a Company mailing address, fax machine, or email address, directly to Company employees, or to the resume database, will be considered Company property. Americor Funding Inc. will NOT pay a for any placement resulting from the receipt of an unsolicited resume. Americor Funding Inc. will consider any candidate for whom an Agency has submitted an unsolicited resume to have been referred by the Agency free of any charges or fees.

#LI-JR1

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If you are looking for a challenging and exciting career in the world of technology, then look no further. Skyworks is an innovator of high-performance analog semiconductors whose solutions are powering the wireless networking revolution.Through our broad technology expertise and one of the most extensive product portfolios in the industry, we are Connecting Everyone and Everything, All the Time.

At Skyworks, you will find a fast-paced environment with a strong focus on global collaboration, minimal layers of management, and the freedom to make meaningful contributions in a setting that encourages creative thinking. We are excited about the opportunity to work with you and glad you want to be part of a team of talented individuals who together are changing the way the world communicates.

Requisition ID:76055

Description

We are seeking a highly experienced Principal Data Engineer to lead the design and implementation of scalable, high-performance data solutions. This role will focus on cloud-native architectures using Azure, Databricks, Kafka, Spark, and other modern data technologies. You will play a key role in shaping our data strategy, mentoring engineering teams, and driving innovation across our data platforms.

Key Responsibilities

• Architect and implement scalable data pipelines usingApache Spark,Databricks, andAzure Data Factory.
• Lead the development of real-time streaming solutions usingApache Kafka.
• Design and optimizeETL/ELT workflowsfor structured and unstructured data.
• Build and maintain distributed data systems usingCassandra,Delta Lake, and other modern data stores.
• UtilizeDelta Live Tables (DLT)to create reliable, maintainable, and testable batch and streaming pipelines.
• Integrate Databricks withAzure Machine Learning,Azure Synapse, and other cloud services.
• ImplementCI/CD pipelinesusingAzure DevOps,Terraform.
• Collaborate with data scientists to deploy and manage ML models usingMLflow.
• Ensure data quality, governance, and security across all engineering efforts.
• Troubleshoot and resolve issues in data models, workflows, and infrastructure.
• Design and maintain data models for cloud data warehouses such asSnowflakeorDatabricks.
• Apply advanced techniques likedata partitioning,indexing, andcompressionto optimize performance and storage.
• Develop disaster recovery plans and backup strategies to ensure business continuity.
• Mentor junior engineers and foster a culture of technical excellence and innovation.
• Stay current with emerging technologies and recommend strategic adoption where appropriate.
• Collaborate with global Agile teams to deliver high-quality solutions.

Qualificiations

• Bachelor's degree and 12+ years of experience in data engineering, with at least 3 years in a principal or lead role.
• Expertise inAzure,Databricks,Apache Spark,Kafka, andCassandra.
• Strong programming skills inPython,SQL, andScala.
• Experience withdistributed systems,data modeling, anddata warehousing.
• Familiarity withmachine learning pipelines,MLOps, andcloud-native architectures.
• Proven ability to lead cross-functional teams and deliver complex data solutions.
• Excellent communication, problem-solving, and leadership skills.
• Exposure to big data tools and distributed computing.
• Certifications in Azure or Databricks are a plus.

#LI-SJ1

The typical base pay range for this role across the U.S. is currently USD$126,500 -$241,700 per year. Starting base pay will depend on relevant experience and skills, training and education, business needs, market demands, the ultimate job duties and requirements, and work location. Skyworks has different base pay ranges for different work locations in the U.S. Benefits include access to healthcare benefits (including a premium-free medical plan option), a 401(k) plan and company match, an employee stock purchase plan, paid time off (including vacation, sick/wellness, parental leave), among others. Employees are eligible to participate in an incentive plan, and certain roles are also eligible for additional awards, including recognition and stock. These incentives and awards are based on individual and/or company performance.

Skyworks is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.Skyworks strives to create an accessible workplace; if you need an accommodation due to a disability, please contact us at

Americor is a leading provider of debt relief solutions for people of all backgrounds. We offer various services to help our clients achieve financial freedom, including debt consolidation loans, debt settlement, and credit repair. Our dedication to others sets us apart – not only as a company but as a community of employees who support each other’s personal and professional growth. Recognized as a ‘Top Place to Work’ and ‘Best Company’ for our outstanding service and commitment to excellence.

We are currently seeking a Principal/Lead Analytics Engineer to join our rapidly growing team.  Specific job title and offer to align with the qualifications of the candidate.

*Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time

Compensation: $120,000-$150,000 annually, dependent on experience. 

Location: Irvine, CA. Hybrid (In-office every Tuesday).

Schedule: Monday–Friday, with weekend on-call availability required as needed.

Responsibilities:

• Own bridge between data engineering, data science, and business intelligence for data analytics.

• Build and maintain ETL/ELT processes using Airflow, dbt, and custom Python scripts.

• Design and implement scalable, robust, and efficient data pipelines.

• Demonstrate and ensure best practices for data security, data validation and data quality are in place and maintained.

• Stay current with the latest trends and developments in data engineering; champion internal adoption and change management of the latest practices.

• Other duties as assigned.

Requirements:

• 7+ years of relevant experience.

• Advanced proficiency with Python.

• Advanced proficiency with SQL.

• Experience with dbt core cli preferred.

• Advanced skills with database architecture and data pipelining.

• Experience utilizing cloud services to develop ETL/ELT pipelines; AWS Lambda, S3, etc., preferred.

• Experience using orchestrator, scheduling, and monitoring tools; Airflow and cron preferred.

• Experience leveraging git for codebase source control; experience developing GitHub/Bitbucket CI/CD pipelines preferred.

• Experience with Docker and docker-compose preferred.

• Proven ability to position oneself to advise and teach across a data organization.

• Excellent verbal, written, and interpersonal communication skills.

Education:

• Bachelor's degree in a quantitative field or equivalent experience.

•  Master’s degree preferred.

Company Benefits:

• Ongoing training and development

• Opportunity for career advancement

• Medical

• Dental

• Vision

• Company Paid Group Life / AD&D Insurance

• 7 Paid Holidays and 2 Floating Holiday Days to use at will

• Paid Time Off

• Flexible Spending/HSA

• Employee Assistance Program (EAP)

• 401(k) match

• Referral Program

Americor is proud to be an Equal Opportunity Employer. Americor does not discriminate based on race, color, gender, disability, veteran, military status, religion, age, creed, national origin, sexual identity or expression, sexual orientation, marital status, genetic information, or any other basis prohibited by local, state, or federal law.

• Note to Agencies: Americor Funding, Inc. (the “Company”) has an internal recruiting department. Americor Funding Inc. may supplement that internal capability from time to time with assistance from temporary staffing agencies, placement services, and professional recruiters (“Agency”). Agencies are hereby specifically directed NOT to contact Americor Funding Inc. employees directly in an attempt to present candidates. The Company’s policy is for the internal recruiting team or other authorized personnel to present ALL candidates to hiring managers. Any unsolicited resumes sent to Americor Funding Inc. from a third party, such as an Agency, including unsolicited resumes sent to a Company mailing address, fax machine, or email address, directly to Company employees, or to the resume database, will be considered Company property. Americor Funding Inc. will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume. Americor Funding Inc. will consider any candidate for whom an Agency has submitted an unsolicited resume to have been referred by the Agency free of any charges or fees.

#LI-JR1

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Job Description
Summary:
We are seeking a hands-on Principal Data Engineer to lead the development of a new, strategic data initiative focused on regulatory reporting and enterprise data centralization. This is a high-impact role embedded within a cross-functional team, working directly with stakeholders, architects, and engineers to build scalable data solutions that support Large Financial Institution (LFI) compliance and long-term growth.
This is a new development project-not maintenance-offering the opportunity to shape architecture, mentor teammates, and drive innovation in a fully Azure-based environment.
Responsibilities:
- Lead the design and development of data pipelines using Azure Data Factory (ADF) and Databricks
-Build and optimize data flows into a centralized Enterprise Data Platform (EDP) for regulatory and analytical use cases
- Collaborate with architects and business stakeholders to translate requirements into scalable data solutions
- Mentor 2-3 engineers and 1 analyst (dotted-line reporting, no direct reports)
- Ensure strong documentation and promote a collaborative, transparent development culture
- Work closely with onshore and offshore resources to deliver high-quality solutions
- Support data governance initiatives using Informatica and other tools
- Apply strong soft skills to communicate complex technical concepts in layman's terms
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: and Requirements
- Bachelor's Degree
- 8+ years of experience in data engineering
- Proven track record in lead roles or having leadership responsibilities
- Expertise in Azure Data Factory (ADF) and building ADF pipelines
- Hands-on experience with Databricks
- Comfortable building and maintaining CI/CD pipelines as part of daily responsibilities
- Proficient in Synapse Analytics and Synapse Notebooks
- Strong skills in PL/SQL and SQL stored procedures
- Familiarity with Python and PySpark (plug-in usage; fluency not required)
- Solid understanding of data warehousing concepts
- Experience working with data governance tools
- Excellent communication, documentation, and stakeholder engagement skills - Familiarity with regulatory reporting and LFI requirements
- Experience with data governance tools, preferably Informatica

**Job Description**
Detailed Description:
As a Principal Data Engineer within Oracle's Consumer Global Industries Unit, you will architect and build foundational components of a next-generation data platform supporting Oracle Industry Applications. You will be responsible for designing and implementing scalable, high-performance data pipelines, and contribute significantly to data integration, transformation, and delivery processes. You will collaborate with data architects on best practices for data modeling and architecture (including medallion architecture), champion modern engineering methods, and ensure compliance with security, data quality, and governance requirements. Your expertise in cloud-based data services, ETL/ELT, and real-time/batch data processing will directly enable high-value, AI-enriched solutions across multiple industries.
Required Experience:
- Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or a related discipline.
- 7+ years of experience in data engineering with demonstrated expertise designing, building, and maintaining large-scale enterprise data platforms.
- Proven hands-on experience with cloud ecosystem data services (OCI, AWS, Azure), their data engineering tools, and AI/ML service integration.
- Advanced skills in building reliable ETL/ELT pipelines, data integration, transformation, validation, and orchestration frameworks.
- Strong programming skills (e.g., Python, Kafka, Java, Scala) with experience in distributed data processing technologies (e.g. Spark, Databricks, Apache Beam).
- In-depth knowledge of data governance, quality, security, and compliance best practices within cloud-first or hybrid environments.
- Proficiency with industry-standard tools for workflow orchestration (e.g., Airflow), data cataloging, and monitoring.
- Experience in regulated industries and familiarity with relevant compliance standards is a plus.
- Excellent problem-solving, communication, and collaboration skills within global and cross-functional teams.
**Responsibilities**
Key Responsibilities:
- Design and develop robust, scalable, and secure data pipelines (batch and real-time) to ingest, process, and deliver data from multiple sources to Oracle Industry Applications.
- Implement and optimize data architectures in cloud environments (OCI, AWS, Azure) including data lakes, data warehouses, ETL/ELT, and orchestration frameworks.
- Collaborate with data architects to implement best practices for data modeling (conceptual, logical, and physical) and support platform-wide standards such as medallion architecture (Bronze/Silver/Gold).
- Design and establish monitoring, alerting, and data quality frameworks to ensure reliability and accuracy of data pipelines.
- Develop and enforce best practices for data security, lineage, metadata management, and compliance requirements.
- Work closely with analysts, ML engineers, business stakeholders, and cross-functional teams to enable industry-specific data use cases and analytics for Oracle Industry Applications.
- Evaluate, recommend, and onboard new data technologies to continuously improve platform performance and capabilities.
- Lead troubleshooting and root cause analysis for data issues, ensuring continuous platform availability and reliability.
- Mentor and guide junior data engineers and drive technical excellence and innovation across engineering efforts.
Disclaimer:
**Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.**
**Range and benefit information provided in this posting are specific to the stated locations only**
US: Hiring Range in USD from: $96,800 to $223,400 per annum. May be eligible for bonus and equity.
Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business.
Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.
Oracle US offers a comprehensive benefits package which includes the following:
1. Medical, dental, and vision insurance, including expert medical opinion
2. Short term disability and long term disability
3. Life insurance and AD&D
4. Supplemental life insurance (Employee/Spouse/Child)
5. Health care and dependent care Flexible Spending Accounts
6. Pre-tax commuter and parking benefits
7. 401(k) Savings and Investment Plan with company match
8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.
9. 11 paid holidays
10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.
11. Paid parental leave
12. Adoption assistance
13. Employee Stock Purchase Plan
14. Financial planning and group legal
15. Voluntary benefits including auto, homeowner and pet insurance
The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.
Career Level - IC4
**About Us**
As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity.
We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all.
Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.
We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing or by calling in the United States.
Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

**Job Description**
Detailed Description:
As a Principal Data Engineer within Oracle's Consumer Global Industries Unit, you will architect and build foundational components of a next-generation data platform supporting Oracle Industry Applications. You will be responsible for designing and implementing scalable, high-performance data pipelines, and contribute significantly to data integration, transformation, and delivery processes. You will collaborate with data architects on best practices for data modeling and architecture (including medallion architecture), champion modern engineering methods, and ensure compliance with security, data quality, and governance requirements. Your expertise in cloud-based data services, ETL/ELT, and real-time/batch data processing will directly enable high-value, AI-enriched solutions across multiple industries.
Required Experience:
- Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or a related discipline.
- 7+ years of experience in data engineering with demonstrated expertise designing, building, and maintaining large-scale enterprise data platforms.
- Proven hands-on experience with cloud ecosystem data services (OCI, AWS, Azure), their data engineering tools, and AI/ML service integration.
- Advanced skills in building reliable ETL/ELT pipelines, data integration, transformation, validation, and orchestration frameworks.
- Strong programming skills (e.g., Python, Kafka, Java, Scala) with experience in distributed data processing technologies (e.g. Spark, Databricks, Apache Beam).
- In-depth knowledge of data governance, quality, security, and compliance best practices within cloud-first or hybrid environments.
- Proficiency with industry-standard tools for workflow orchestration (e.g., Airflow), data cataloging, and monitoring.
- Experience in regulated industries and familiarity with relevant compliance standards is a plus.
- Excellent problem-solving, communication, and collaboration skills within global and cross-functional teams.
**Responsibilities**
Key Responsibilities:
- Design and develop robust, scalable, and secure data pipelines (batch and real-time) to ingest, process, and deliver data from multiple sources to Oracle Industry Applications.
- Implement and optimize data architectures in cloud environments (OCI, AWS, Azure) including data lakes, data warehouses, ETL/ELT, and orchestration frameworks.
- Collaborate with data architects to implement best practices for data modeling (conceptual, logical, and physical) and support platform-wide standards such as medallion architecture (Bronze/Silver/Gold).
- Design and establish monitoring, alerting, and data quality frameworks to ensure reliability and accuracy of data pipelines.
- Develop and enforce best practices for data security, lineage, metadata management, and compliance requirements.
- Work closely with analysts, ML engineers, business stakeholders, and cross-functional teams to enable industry-specific data use cases and analytics for Oracle Industry Applications.
- Evaluate, recommend, and onboard new data technologies to continuously improve platform performance and capabilities.
- Lead troubleshooting and root cause analysis for data issues, ensuring continuous platform availability and reliability.
- Mentor and guide junior data engineers and drive technical excellence and innovation across engineering efforts.
Disclaimer:
**Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.**
**Range and benefit information provided in this posting are specific to the stated locations only**
US: Hiring Range in USD from: $96,800 to $223,400 per annum. May be eligible for bonus and equity.
Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business.
Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.
Oracle US offers a comprehensive benefits package which includes the following:
1. Medical, dental, and vision insurance, including expert medical opinion
2. Short term disability and long term disability
3. Life insurance and AD&D
4. Supplemental life insurance (Employee/Spouse/Child)
5. Health care and dependent care Flexible Spending Accounts
6. Pre-tax commuter and parking benefits
7. 401(k) Savings and Investment Plan with company match
8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.
9. 11 paid holidays
10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.
11. Paid parental leave
12. Adoption assistance
13. Employee Stock Purchase Plan
14. Financial planning and group legal
15. Voluntary benefits including auto, homeowner and pet insurance
The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.
Career Level - IC4
**About Us**
As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity.
We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all.
Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.
We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing or by calling in the United States.
Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

**Job Description**
Detailed Description:
As a Principal Data Engineer within Oracle's Consumer Global Industries Unit, you will architect and build foundational components of a next-generation data platform supporting Oracle Industry Applications. You will be responsible for designing and implementing scalable, high-performance data pipelines, and contribute significantly to data integration, transformation, and delivery processes. You will collaborate with data architects on best practices for data modeling and architecture (including medallion architecture), champion modern engineering methods, and ensure compliance with security, data quality, and governance requirements. Your expertise in cloud-based data services, ETL/ELT, and real-time/batch data processing will directly enable high-value, AI-enriched solutions across multiple industries.
Required Experience:
- Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or a related discipline.
- 7+ years of experience in data engineering with demonstrated expertise designing, building, and maintaining large-scale enterprise data platforms.
- Proven hands-on experience with cloud ecosystem data services (OCI, AWS, Azure), their data engineering tools, and AI/ML service integration.
- Advanced skills in building reliable ETL/ELT pipelines, data integration, transformation, validation, and orchestration frameworks.
- Strong programming skills (e.g., Python, Kafka, Java, Scala) with experience in distributed data processing technologies (e.g. Spark, Databricks, Apache Beam).
- In-depth knowledge of data governance, quality, security, and compliance best practices within cloud-first or hybrid environments.
- Proficiency with industry-standard tools for workflow orchestration (e.g., Airflow), data cataloging, and monitoring.
- Experience in regulated industries and familiarity with relevant compliance standards is a plus.
- Excellent problem-solving, communication, and collaboration skills within global and cross-functional teams.
**Responsibilities**
Key Responsibilities:
- Design and develop robust, scalable, and secure data pipelines (batch and real-time) to ingest, process, and deliver data from multiple sources to Oracle Industry Applications.
- Implement and optimize data architectures in cloud environments (OCI, AWS, Azure) including data lakes, data warehouses, ETL/ELT, and orchestration frameworks.
- Collaborate with data architects to implement best practices for data modeling (conceptual, logical, and physical) and support platform-wide standards such as medallion architecture (Bronze/Silver/Gold).
- Design and establish monitoring, alerting, and data quality frameworks to ensure reliability and accuracy of data pipelines.
- Develop and enforce best practices for data security, lineage, metadata management, and compliance requirements.
- Work closely with analysts, ML engineers, business stakeholders, and cross-functional teams to enable industry-specific data use cases and analytics for Oracle Industry Applications.
- Evaluate, recommend, and onboard new data technologies to continuously improve platform performance and capabilities.
- Lead troubleshooting and root cause analysis for data issues, ensuring continuous platform availability and reliability.
- Mentor and guide junior data engineers and drive technical excellence and innovation across engineering efforts.
Disclaimer:
**Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.**
**Range and benefit information provided in this posting are specific to the stated locations only**
US: Hiring Range in USD from: $96,800 to $223,400 per annum. May be eligible for bonus and equity.
Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business.
Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.
Oracle US offers a comprehensive benefits package which includes the following:
1. Medical, dental, and vision insurance, including expert medical opinion
2. Short term disability and long term disability
3. Life insurance and AD&D
4. Supplemental life insurance (Employee/Spouse/Child)
5. Health care and dependent care Flexible Spending Accounts
6. Pre-tax commuter and parking benefits
7. 401(k) Savings and Investment Plan with company match
8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.
9. 11 paid holidays
10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.
11. Paid parental leave
12. Adoption assistance
13. Employee Stock Purchase Plan
14. Financial planning and group legal
15. Voluntary benefits including auto, homeowner and pet insurance
The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.
Career Level - IC4
**About Us**
As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity.
We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all.
Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.
We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing or by calling in the United States.
Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

**Job Description**
Detailed Description:
As a Principal Data Engineer within Oracle's Consumer Global Industries Unit, you will architect and build foundational components of a next-generation data platform supporting Oracle Industry Applications. You will be responsible for designing and implementing scalable, high-performance data pipelines, and contribute significantly to data integration, transformation, and delivery processes. You will collaborate with data architects on best practices for data modeling and architecture (including medallion architecture), champion modern engineering methods, and ensure compliance with security, data quality, and governance requirements. Your expertise in cloud-based data services, ETL/ELT, and real-time/batch data processing will directly enable high-value, AI-enriched solutions across multiple industries.
Required Experience:
- Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or a related discipline.
- 7+ years of experience in data engineering with demonstrated expertise designing, building, and maintaining large-scale enterprise data platforms.
- Proven hands-on experience with cloud ecosystem data services (OCI, AWS, Azure), their data engineering tools, and AI/ML service integration.
- Advanced skills in building reliable ETL/ELT pipelines, data integration, transformation, validation, and orchestration frameworks.
- Strong programming skills (e.g., Python, Kafka, Java, Scala) with experience in distributed data processing technologies (e.g. Spark, Databricks, Apache Beam).
- In-depth knowledge of data governance, quality, security, and compliance best practices within cloud-first or hybrid environments.
- Proficiency with industry-standard tools for workflow orchestration (e.g., Airflow), data cataloging, and monitoring.
- Experience in regulated industries and familiarity with relevant compliance standards is a plus.
- Excellent problem-solving, communication, and collaboration skills within global and cross-functional teams.
**Responsibilities**
Key Responsibilities:
- Design and develop robust, scalable, and secure data pipelines (batch and real-time) to ingest, process, and deliver data from multiple sources to Oracle Industry Applications.
- Implement and optimize data architectures in cloud environments (OCI, AWS, Azure) including data lakes, data warehouses, ETL/ELT, and orchestration frameworks.
- Collaborate with data architects to implement best practices for data modeling (conceptual, logical, and physical) and support platform-wide standards such as medallion architecture (Bronze/Silver/Gold).
- Design and establish monitoring, alerting, and data quality frameworks to ensure reliability and accuracy of data pipelines.
- Develop and enforce best practices for data security, lineage, metadata management, and compliance requirements.
- Work closely with analysts, ML engineers, business stakeholders, and cross-functional teams to enable industry-specific data use cases and analytics for Oracle Industry Applications.
- Evaluate, recommend, and onboard new data technologies to continuously improve platform performance and capabilities.
- Lead troubleshooting and root cause analysis for data issues, ensuring continuous platform availability and reliability.
- Mentor and guide junior data engineers and drive technical excellence and innovation across engineering efforts.
Disclaimer:
**Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.**
**Range and benefit information provided in this posting are specific to the stated locations only**
US: Hiring Range in USD from: $96,800 to $223,400 per annum. May be eligible for bonus and equity.
Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business.
Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.
Oracle US offers a comprehensive benefits package which includes the following:
1. Medical, dental, and vision insurance, including expert medical opinion
2. Short term disability and long term disability
3. Life insurance and AD&D
4. Supplemental life insurance (Employee/Spouse/Child)
5. Health care and dependent care Flexible Spending Accounts
6. Pre-tax commuter and parking benefits
7. 401(k) Savings and Investment Plan with company match
8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.
9. 11 paid holidays
10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.
11. Paid parental leave
12. Adoption assistance
13. Employee Stock Purchase Plan
14. Financial planning and group legal
15. Voluntary benefits including auto, homeowner and pet insurance
The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.
Career Level - IC4
**About Us**
As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity.
We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all.
Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.
We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing or by calling in the United States.
Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.