12,919 Associate Data Engineer jobs in the United States

Company Summary Taking care of our customers, our communities and each other. Thats the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers in the industry for over 160 year Data, Engineer, Associate, Technology, Staffing, Travel

Company Summary Taking care of our customers, our communities and each other. Thats the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers in the industry for over 160 year Data, Engineer, Associate, Technology, Staffing, Travel

• Perform mining and transformation of complex data sets, including internal real estate data, as well as external data (for example, social media data, mapping data, demographic data, climate data, market data, sensor data, etc.)
• Develop automated scripting to support recurring refreshes to data used in information products, including re-application of data transformations
• Develop tools to monitor and resolve data quality issues
• Work with team to develop automation of data processes, minimizing the need for manual intervention
• Work closely with client account and development teams to determine business requirements, identify business-focused use cases, and create design documents for pre-development approval
• Assist in the development of business cases to gain executive support for new product proposals
• Author high-quality technical documentation and to follow development processes for audit/compliance purposes
• Prepare data for use in Business Intelligence reports and analytics (particularly QlikView)
• Perform ETL on data from a variety of sources using standard tools such as Alteryx, Python, or others
• Experience in data exploration and refining data sets before determining the solution design

• BS/BA degree in Computer Science, MIS, or related field
• Experience in Data Warehouse/ETL
• Experience with multiple types of data stores - not only relational databases
• Problem solving and analytical skills with the ability to apply knowledge and creativity to resolve complex issues
• Project and time management skills with the ability to organize and prioritize multiple tasks
• Verbal and written communication skills, with the ability to explain technical concepts and data-driven findings to business stakeholders, and to explain processes, concepts, challenges, and issues to technical resources
• Understands the real estate industry and the business drivers of real estate teams, both internal and external
• May perform other duties as assigned

• Industry leading Parental Leave Policy (up to 16 weeks)
• Generous healthcare
• Bright Horizons back-up care program
• Generous paid time off
• Education reimbursement
• Referral Program
• Opportunities to network and connect

Geode Capital Management is seeking a highly motivated Associate Data Engineer to join our Data team. The engineer will report to the Director of Data Engineering. This role will focus on designing and building scalable data solutions, working closely with various operations teams, data analysts, architects, and business stakeholders. The Data Engineer will help Geode modernize cloud native data and analytics platform centered around technologies such as AWS, Snowflake, DBT, Snaplogic, and Python.

This role is based out of our office in Boston, Massachusetts and is required to follow the firm's current hybrid work schedule: Tuesday, Wednesday and Thursday in-office, with the option to work Monday and Friday remote from home.

Responsibilities :

• Build Modern Data pipelines to ingest, process and store enterprise data
• Contribute to the design, development, and implementation of innovative data pipelines and solutions using AWS, Snowflake, Snaplogic, Python
• Continuously enhance data pipelines through automation, efficient unit testing and increasing test coverage and quality
• Collaborate with the Data product lead, Scrum Masters, architects and development teams to build effective data ingestion and integration pipelines.

• A bachelor's degree in computer science or a similar field
• 3-5 years of data and software engineering experience with a focus on development, implementation, and maintenance of data pipelines
• Strong skills in ETL/ELT development using Python and Snowflake
• Strong skills in data modeling, database design, and SQL development
• Effective communication and interpersonal skills
• Experience with DBT or Snaplogic is a plus
• Experience with scheduling tools such as Control-M or Autosys is a plus
• Experience working in the Asset management industry is a plus

Location Designation: Hybrid - 3 days per month

Our New York Life culture has laid the foundation for over 175 years of commitment to our employees, agents, policy owners, and the communities where we live and work. Here you become a valued part of a welcoming, inclusive, and caring organization with a long-standing legacy in stability and growth. The strength revolves around our diversified, multi-dimensional business portfolio that goes beyond life insurance.

As a Fortune 100 company and industry leader, we provide an environment where you can explore your career ambitions, offering opportunities to tackle meaningful challenges and stretch your skills while balancing work and life priorities. You willbe part ofan inclusive teamguided by our belief to always be there for each other-providing the support and flexibilityto grow and reach new heights while making an impact in the lives of others.

You are our future, and we commit to investing in you accordingly.

Visit our LinkedIn to see how our employees and agents are leading the industry and impacting communities.

Visit our Newsroom to learn more about how our company is constantly evolving to meet our clients' and employees' needs.

The Enterprise Data Management team provides transformative data capabilities and solutions that serve as the core data, reporting, and analytics platform for the Insurance & Agency Group at New York Life (NYL). The Enterprise Data Management team is looking for a Data Engineer with the skills listed below.

Job Overview:

Build, expand, and optimize data pipeline architecture using Amazon Web Services cloud, Python and Pyspark. Utilize tools like Amazon Relational Database Service (AWS DMS), AWS Database Migration Service (AWS DMS), AWS Glue, Amazon Simple Storage Service (AWS S3), AWS Lambda triggers & functions, etc. Leverage Data Engineering strategies, Data Lake/Lakehouse/Data Warehouse technologies, and streaming/real-time data to bring data into the ecosystem for consumption. Use SQL for data analysis.

What You'll Do:

• Design and develop enterprise infrastructure and platforms required for data engineering.
• Use AWS Cloud technologies to support data needs for expansion of Machine Learning/Data Science capabilities, applications/mobile apps/systems, BI/analytics, and cross-functional teams.
• Create methods and routines to transition data from on-premise systems to the AWS Cloud.
• Store data in AWS Cloud platform and develop transformational logic based on business rules.
• Create and maintain optimal data pipeline architecture. Test and implement data environments.
• Assemble large, complex data sets to meet functional/non-functional business requirements.
• Build the infrastructure required for optimal ETL/ELT (extraction, transformation, and loading) of data from a wide variety of data sources using SQL and AWS big data technologies.
• Utilize AWS Cloud tools like Amazon Relational Database Service (AWS DMS), AWS Database Migration Service (AWS DMS, AWS Glue, Amazon Simple Storage Service (AWS S3), AWS Lambda triggers & functions, to ingest data sets and create pipelines.
• Develop and debug code in PySpark/Spark/Python. Use SQL and/or Postgres.
• Use Data Pipeline, workflow management, and orchestration service tools.
• Comfortable with SQL for data analysis.
• Collaborate with Cloud Data Architects, Data Engineers, DBAs, Analytics & Software Engineers.
• Interact with stakeholders, Product Management, and Design teams to understand data pipeline requirements, design solutions, and resolve issues.

What You'll Bring:

• 3+ years as a Cloud Data Engineer, Data Engineer, Data Architect, AWS Engineer, etc.
• 3+ years with Amazon Relational Database Service (RDS), AWS Database Migration Service (AWS DMS), Amazon Simple Storage Service (S3) Data Lake, AWS Lambda, etc. in shared service, hybrid environments.
• Highly scalable Data stores, Data Lake, Data Warehouse, Lakehouse, and unstructured datasets.
• Data integration, data processing, data streaming, message queuing, and/or ETL/ELT.
• Ability to lead a team of developers.
• Bachelor's degree in Data Science, Computer Engineering, or related field preferred.

Pay Transparency

Salary Range:$95,000-$162,500

Overtime eligible:Exempt

Discretionary bonus eligible:Yes

Sales bonus eligible:No

Actual base salary will be determined based on several factors but not limited to individual's experience, skills, qualifications, and job location. Additionally, employees are eligible for an annual discretionary bonus. In addition to base salary, employees may also be eligible to participate in an incentive program.

Our Benefits

We provide a full package of benefits for employees - and have unique offerings for a modern workforce, including leave programs, adoption assistance, and student loan repayment programs. Based on feedback from our employees, we continue to refine and add benefits to our offering, so that you can flourish both inside and outside of work.Click hereto discover more about our comprehensive benefit options or visit our NYL Benefits Site.

Our Commitment to Inclusion
At New York Life, fostering an inclusive workplace is fundamental to who we are and how we serve our communities. We have a longstanding commitment to creating an environment where individuals can contribute their best and succeed together. This foundation is rooted in our core values of humanity and integrity, ensuring that every employee feels valued and supported. By embracing a broad range of perspectives and experiences, we achieve greater success and fulfill our promise of providing financial security and peace of mind to families across all communities. Click here to learn more about New York Life's leadership in this space.

Recognized as one of Fortune's World's Most Admired Companies, New York Life is committed to improving local communities through a culture of employee giving and volunteerism, supported by theFoundation.We're proud that due to our mutuality, we operate in the best interests of our policy owners. To learn more about career opportunities at New York Life, please visit the Careers page of

Job Requisition ID:91532

L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do.

L3Harris Technologies is the Trusted Disruptor in the defense industry. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security.

Job Title: Sr Associate, Data Engineer

Job Code: 27154

Job Location : Remote

Job Schedule: 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off

Job Description:

L3Harris Enterprise Data and AI team is seeking a Data Engineer with experience in managing enterprise-level data life cycle processes. This role includes overseeing data ETL/ELT pipelines, ensuring adherence to data standards, maintaining data frameworks, conducting data cleansing, orchestrating data pipelines, and ensuring data consolidation. The selected individual will play a pivotal role in maintaining ontologies, building scalable data solutions, and developing dashboards to provide actionable insights for the enterprise within Palantir Foundry.

This position will support the company's modern data platform, Unified Data Layer, focusing on data pipeline development and maintenance, data platform design, documentation, and user training. The goal is to ensure seamless access to data for all levels of the organization, empowering decision-makers with clean, reliable data.

Essential Functions:

• Design, build, and maintain robust data pipelines to ensure reliable data flow across the enterprise.

• Maintain data pipeline schedules, orchestrate workflows, and monitor the overall health of data pipelines to ensure continuous data availability.

• Create, update, and optimize data connections, datasets, and transformations to align with business needs.

• Troubleshoot and resolve data sync issues, ensuring consistent and correct data flow from source systems.

• Collaborate with cross-functional teams to uphold data quality standards and ensure accurate data is available for use.

• Utilize Palantir Foundry to establish data connections to source applications, extract and load data, and design complex logical data models that meet functional and technical specifications.

• Develop and manage data cleansing, consolidation, and integration mechanisms to support big data analytics at scale.

• Build visualizations using Palantir Foundry tools and assist business users with testing, troubleshooting, and documentation creation, including data maintenance guides.

Qualifications:

• Bachelor's Degree and minimum 2 years prior relevant experience or Graduate Degree and a minimum of 1 years of prior related experience. In lieu of degree, minimum 4 years of prior related experience.

• 2+ years experience with designing and developing data pipelines in PySpark, Spark SQL, SQL or Code Build.

• 2+ years e xperience in building and deploying data synchronization schedules and maintaining data pipelines using Palantir Foundry.

• 2+ years of experience with Data Pipeline development or ETL tools such as Palantir Foundry, Azure Data Factory, SSIS, or Python.

• 3+ years of experience in Data Integration.

Preferred Additional Skills:

• Strong understanding of Business Intelligence (BI) and Data Warehouse (DW) development methodologies.

• Hands-on experience with the Snowflake Cloud Data Platform, including data architecture, query optimization, and performance tuning.

• Proficiency in Python, PySpark, Pandas, Databricks, JavaScript, or other scripting languages for data processing and automation.

• Experience with other ETL tools such as Azure Data Factory (ADF), SSIS, Informatica, or Talend is highly desirable.

• Familiarity with connecting and extracting data from various ERP applications, including Oracle EBS, SAP ECC/S4, Deltek Costpoint, and more.

• Experience with AI tools such as OpenAI, Palantir AIP, Snowflake Cortex or similar.

In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C, Denver, or NYC areas is $79,000-$46,500. The salary range for this role in Colorado state, Hawaii, Illinois, Maryland, Minnesota, New York state, and Vermont is 69,000- 128,000. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements.

#LI-Remote

#LI-NR1

L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law.

Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information.

By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions.

L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English ( or Spanish ( . For information regarding your Right To Work, please click here for English ( or Spanish ( .

Who Are We?

Taking care of our customers, our communities and each other. That's the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers in the industry for over 160 years. Join us to discover a culture that is rooted in innovation and thrives on collaboration. Imagine loving what you do and where you do it.

Job Category

Technology

Compensation Overview

The annual base salary range provided for this position is a nationwide market range and represents a broad range of salaries for this role across the country. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. As part of our comprehensive compensation and benefits program, employees are also eligible for performance-based cash incentive awards.

Salary Range

$91,800.00 - $151,600.00

Target Openings

1

What Is the Opportunity?

Travelers Data Engineering team constructs pipelines that contextualize and provide easy access to data by the entire enterprise. As a Senior Associate Data Engineer you will help guide growth and transformation of our analytics landscape. You will leverage your ability to design, build and deploy data solutions that capture, explore, transform, and utilize data to support Artificial Intelligence, Machine Learning and business intelligence/insights.

Applicants must be authorized to work for ANY employer in the U.S. The company does not sponsor/support H-1B petitions, TN, or Forms I-983/STEM OPT, for this role.

What Will You Do?

• Build and operationalize data solutions, correct problems, apply transformations, and recommend data cleansing/quality solutions.

• Participate in the design of data solutions.

• Analyze sources to determine value and recommend data to include in analytical processes.

• Incorporate core data management competencies including data governance, data security and data quality.

• Partner and collaborate with team and business users to support delivery and educate end users on data products/analytic environment.

• Perform data and system analysis, assessment and resolution for defects and incidents of moderate complexity and correct as appropriate.

• Test data movement, transformation code, and data components.

• Perform other duties as assigned.

What Will Our Ideal Candidate Have?

• Bachelor's Degree in STEM related field or equivalent.

• Five years of related experience.

• Developing knowledge of tools, techniques, and manipulation including Cloud platforms, programming languages and software engineering practices.

What is a Must Have?

• Bachelor's degree or equivalent training with data tools, techniques, and manipulation.

• Two years of data engineering or equivalent experience.

What Is in It for You?

• Health Insurance : Employees and their eligible family members - including spouses, domestic partners, and children - are eligible for coverage from the first day of employment.

• Retirement: Travelers matches your 401(k) contributions dollar-for-dollar up to your first 5% of eligible pay, subject to an annual maximum. If you have student loan debt, you can enroll in the Paying it Forward Savings Program. When you make a payment toward your student loan, Travelers will make an annual contribution into your 401(k) account. You are also eligible for a Pension Plan that is 100% funded by Travelers.

• Paid Time Off: Start your career at Travelers with a minimum of 20 days Paid Time Off annually, plus nine paid company Holidays.

• Wellness Program: The Travelers wellness program is comprised of tools, discounts and resources that empower you to achieve your wellness goals and caregiving needs. In addition, our mental health program provides access to free professional counseling services, health coaching and other resources to support your daily life needs.

• Volunteer Encouragement: We have a deep commitment to the communities we serve and encourage our employees to get involved. Travelers has a Matching Gift and Volunteer Rewards program that enables you to give back to the charity of your choice.

Employment Practices

Travelers is an equal opportunity employer. We value the unique abilities and talents each individual brings to our organization and recognize that we benefit in numerous ways from our differences.

In accordance with local law, candidates seeking employment in Colorado are not required to disclose dates of attendance at or graduation from educational institutions.

If you are a candidate and have specific questions regarding the physical requirements of this role, please send us an email ( ) so we may assist you.

Travelers reserves the right to fill this position at a level above or below the level included in this posting.

To learn more about our comprehensive benefit programs please visit .

Job Requisition ID:92131

Location Designation: Fully Onsite

Location : 44 South Broadway, White Plains, New York 10601

Offered Wage : $146,000 /year

Duties : Actively partner with Corporate Data Strategy and Governance and other corporate technology divisions to design and implement solutions to extract and integrate data to and from data warehouses, data marts, and data lakes to provide reports, decision support and driving insights. Identify, investigate, and resolve data discrepancies by finding the root cause of issues. Work with partners across various cross-functional teams to prevent future issue occurrences. Proactively look for opportunities to optimize the data loading structure and develop new approaches to improve the onboarding and integrity of the data. Provide basic reporting and respond to inquiries asking for insights about the data sets from stakeholders. Ensure that data is clean, consistent, and synchronized across platforms, and oversee the design and implementation of data cleansing procedures. Represent area on projects and be a key player in meetings with all levels of management. Act as a mentor to team members and the Foundational Business on all technical issues.

Education & Experience Requirements: Bachelor's degree in Information Science, Economics, Computer Science

or

related field (willing to accept foreign education equivalent) plus two (2) years of experience as a Data Engineer, Database Manager, or related occupation interpreting, analyzing and building data products using SQL or Python to help in strategic decision making. Specific skills/other requirements - Must also possess the following (quantitative experience requirements not applicable to this section): Utilizing SQL or Python to transform, manipulate and preprocess large datasets of structured and unstructured data from various sources to conduct data quality assurance, exploratory analysis and inform business decisions; Utilizing Redshift, Hadoop, or Snowflake to design and optimize complex SQL queries in addition to maintaining and implementing data pipelines; Utilizing Python, R or other statistical tools to manipulate large data sets, perform statistical analysis, transform datasets and design automated reports; Sourcing and organizing data from multiple platforms or data sources for reporting and insights; and performing root cause analysis and resolving performance bottlenecks.

Eligible for Employee Referral Program.

To apply, visit search job title.

Overtime eligible:Exempt

Discretionary bonus eligible:Yes

Sales bonus eligible:No

Pay Transparency

Overtime eligible:Exempt

Discretionary bonus eligible:Yes

Sales bonus eligible:No

Actual base salary will be determined based on several factors but not limited to individual's experience, skills, qualifications, and job location. Additionally, employees are eligible for an annual discretionary bonus. In addition to base salary, employees may also be eligible to participate in an incentive program.

Our Benefits

We provide a full package of benefits for employees - and have unique offerings for a modern workforce, including leave programs, adoption assistance, and student loan repayment programs. Based on feedback from our employees, we continue to refine and add benefits to our offering, so that you can flourish both inside and outside of work.Click hereto discover more about our comprehensive benefit options or visit our NYL Benefits Site.

Our Commitment to Inclusion
At New York Life, fostering an inclusive workplace is fundamental to who we are and how we serve our communities. We have a longstanding commitment to creating an environment where individuals can contribute their best and succeed together. This foundation is rooted in our core values of humanity and integrity, ensuring that every employee feels valued and supported. By embracing a broad range of perspectives and experiences, we achieve greater success and fulfill our promise of providing financial security and peace of mind to families across all communities. Click here to learn more about New York Life's leadership in this space.

Recognized as one of Fortune's World's Most Admired Companies, New York Life is committed to improving local communities through a culture of employee giving and volunteerism, supported by theFoundation.We're proud that due to our mutuality, we operate in the best interests of our policy owners. To learn more about career opportunities at New York Life, please visit the Careers page of

Visit our LinkedIn to see how our employees and agents are leading the industry and impacting communities.

Visit our Newsroom to learn more about how our company is constantly evolving to meet our clients' and employees' needs.

Job Requisition ID: 92131