Senior Data Engineer

Senior Data Engineer

Remote Role

Contract to Hire

Compensation: $80 - $90/hour, DOE

ABOUT THE ROLE

Join our AI Data Products Scrum Team as a Senior Data Engineer, supporting a Fortune 50 healthcare insurance organization in a fully remote capacity. In this hands-on role, you will be instrumental in building, optimizing, and operationalizing scalable data pipelines and reusable data assets that power advanced analytics, machine learning, and generative AI initiatives. You will work within a modern distributed data environment, collaborating with cross-functional teams to deliver reliable, production-ready healthcare data solutions. This is an opportunity to make a significant impact in a dynamic, innovative environment while enjoying comprehensive benefits and competitive compensation.

WHAT YOU'LL DO

• Design, build, and maintain scalable batch and streaming data pipelines using modern distributed data technologies
• Develop production data solutions using SQL, Python, and PySpark, selecting the appropriate tool for each workload
• Troubleshoot, optimize, and enhance existing data pipelines to meet new data requirements and improve performance
• Create reusable ingestion, transformation, reconciliation, and data-product patterns for analytics and AI use cases
• Implement data-quality checks, monitoring, lineage, documentation, and provide reliable operational support for production pipelines
• Utilize Git and CI/CD practices to test, review, version, deploy, and promote data-engineering assets across environments
• Collaborate with lead engineers, application teams, data scientists, and platform teams on production healthcare solutions, market expansion, and AI-assisted workflows
• Support AI-enabling data assets such as feature tables, vector indices, embeddings, or semantic context
• Ensure compliance with data governance, cataloging, lineage, and discoverability practices, especially in regulated environments

WHAT YOU BRING

• Senior-level, hands-on experience designing, building, and supporting production data pipelines in a modern distributed data environment
• Strong production experience with Databricks Data Engineering, Spark distributed computing, or the Hadoop framework
• Strong SQL skills and practical experience using Python and/or PySpark for production data-engineering work
• Hands-on experience with DevOps, CI/CD pipelines, and Git-based source-control workflows
• Experience with ETL/ELT, batch and/or streaming processing, production debugging, performance tuning, and data-quality validation
• Familiarity with columnar formats such as Parquet and Delta, plus data warehousing and data-analysis concepts
• Linux scripting experience (preferred)
• Exposure to data governance, cataloging, lineage, and discoverability practices (preferred)
• Experience supporting AI-enabling data assets such as feature tables, vector indices, embeddings, or semantic context (preferred)
• Experience working in a regulated enterprise environment, preferably healthcare or financial services (preferred)

WHAT'S IN IT FOR YOU

• 401(k) matching plan
• Medical, dental, and vision plans
• Paid company holidays
• Regular engagement check-ins and consultant support
• Competitive hourly rates
• Opportunity to work in a dynamic, innovative environment

HOW TO APPLY

Apply through the one-click application process to be considered for this opportunity.

EQUAL OPPORTUNITY EMPLOYER
We are an equal opportunity employer and do not discriminate on the basis of any characteristic protected by applicable federal, state, or local laws and ordinances.

PAY DISCLAIMER

The pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include the responsibilities of the job, education, experience, knowledge, skills, abilities, internal equity, alignment with market data, applicable bargaining agreements, and other law.

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