15,200 Databricks jobs in the United States

• Ability to analyze data and support data preparation
• Design and maintain data pipelines for streaming data, batch processing, and real-time analytics.
• Ability to build data pipelines for different ingestion patterns.
• Apply data modeling concepts to pipelines.
• Implement basic data validation checks in pipelines.
• Automate execution and deployment of pipelines.
• Collaborate with Data Platform Architects and Data Engineers to integrate feature stores, manage model deployment, and implement data preparation workflows.
• Support data preparation, exploration, and visualization to facilitate data-driven decision-making.
• Work closely with other engineering teams to ensure data pipelines are secure, efficient, and aligned with business requirements.
• Document current and future state data flows

• Bachelor's degree in Computer Science, a technical field, or a related business discipline. Equivalent experience, certifications, or training will be considered.
• 5+ years of experience in designing and delivering secure cloud solutions.
• 2+ years of experience with Databricks
• 2+ years of experience with AWS (preferred)
• Experience with Agile methodology
• Strong problem-solving, analytical, and communication skills.

The Opportunity:

Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ever before. As a Data Engineer, you know that organizing big data can yield pivotal insights when it's gathered from disparate sources. We need an experienced Data Engineer like you to help our clients find answers in their big data to impact important missions-from fraud detection to cancer research to national intelligence.

As a Data Engineer at Booz Allen, you'll implement data engineering activities on some of the most mission-driven projects in the industry. You'll deploy and develop pipelines and platforms that organize and make disparate data meaningful.

Here, you'll work with and guide a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You'll use your experience in analytical exploration and data examination while you manage the assessment, design, building, and maintenance of scalable platforms for your clients.

Join us. The world can't wait.

You Have:

• 5+ years of experience designing, developing, operationalizing, and maintaining complex data applications at an enterprise scale

• 3+ years of experience creating software for retrieving, parsing, and processing structured and unstructured data, including Python, SQL, or Java

• 3+ years of experience building scalable ETL and ELT workflows for reporting and analytics

• 2+ years of experience with Databricks

• Experience with data warehousing using AWS Redshift, MySQL, PostgreSQL, or Snowflake

• Experience with distributed data and computing tools, including Spark, AWS EMR, or Kafka

• Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud

• IRS Moderate Risk Background Investigation (IRS MBI)

• Bachelor's degree

• Databricks Certified Data Engineer Professional Certification

Nice If You Have:

• Experience with Palantir Foundry

• Experience with UNIX or Linux, including basic commands and Shell scripting

• Experience working on real-time data and streaming applications

• Experience with AWS

• Master's degree

Vetting:

Applicants selected must possess an active IRS Moderate Risk Background Investigation (IRS MBI) and meet eligibility requirements of the U.S. government client; IRS MBI is required.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Identity Statement

As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Work Model
Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.

• If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility.
• If this position is listed as onsite, you'll work with colleagues and clients in person, as needed for the specific role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

About the job Databricks Data Engineer

Title: Databricks Data Engineer (Senior Manager / AVP)

Location: Columbus, OH (1st choice), Remote (2nd choice)

Experience Required: 7 12 years

Base Salary: Up to $150k

Job Overview:

We are seeking a skilled Data Engineer to join our team. The successful candidate will be responsible for development and optimization of data pipelines, implementing robust data checks, and ensuring the accuracy and integrity of data flows. This role is critical in supporting data-driven decision-making processes, especially in the context of our insurance-focused business operations.

Key Responsibilities:

• Collaborate with data analysts, reporting team and business advisors to gather requirements and define data models that effectively support business requirements
• Develop and maintain scalable and efficient data pipelines to ensure seamless data flow across various systems address any issues or bottlenecks in existing pipelines.
• Implement robust data checks to ensure the accuracy and integrity of data. Summarize and validate large datasets to ensure they meet quality standards.
• Monitor data jobs for successful completion. Troubleshoot and resolve any issues that arise to minimize downtime and ensure continuity of data processes.
• Regularly review and audit data processes and pipelines to ensure compliance with internal standards and regulatory requirements
• Familiar with working on Agile methodologies - scrum, sprint planning, backlog refinement etc.

• 7-12 years experience on Data Engineering role working with Databricks & Cloud technologies.
• Bachelors degree in computer science, Information Technology, or related field.
• Strong proficiency in PySpark, Python, SQL.
• Strong experience in data modeling, ETL/ELT pipeline development, and automation
• Hands-on experience with performance tuning of data pipelines and workflows
• Proficient in working on Azure cloud components Azure Data Factory, Azure Databricks, Azure Data Lake etc.
• Experience with data modeling, ETL processes, Delta Lake and data warehousing.
• Experience on Delta Live Tables, Autoloader & Unity Catalog.
• Preferred - Knowledge of the insurance industry and its data requirements.
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
• Excellent communication and problem-solving skills to work effectively with diverse teams
• Excellent problem-solving skills and ability to work under tight deadlines.

Tekfortune is a fast-growing consulting firm specialized in permanent, contract & project-based staffing services for world's leading organizations in a broad range of industries. In this quickly changing economic landscape, virtual recruiting and remote work are critical for the future of work. To support the active project demands and skills gaps, our staffing experts can help you find the best job for you.

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For more information and other jobs available please contact our recruitment team at To view all the jobs available in the USA and Asia please visit our website at

• ETL, ELT, Data Streaming, Data Sharing
• Strong data engineering background
• Python preferred or Scala
• Retail Data Experience

• Moving data from source system to target ecommerce system - Product Information Data is the focus.
• Understand the Databricks platform and how it works inside and out - data sharing, Apache iceberg (big plus).

• ETL, ELT, Data Streaming, Data Sharing
• Strong data engineering background
• Python preferred or Scala
• Retail Data Experience

• Moving data from source system to target ecommerce system - Product Information Data is the focus.
• Understand the Databricks platform and how it works inside and out - data sharing, Apache iceberg (big plus).