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Job Title: Senior Data Engineer

Location: Remote (U.S. — EST preferred)

Employment Type: Contract (W2 through ZipStaff)

About the Opportunity:

ZipStaff is seeking a Senior Data Engineer to build complex data pipelines on a modern data-ingestion platform for a leading healthcare analytics organization.

You will deliver accurate, timely data across products that support healthcare data management, validation, and analytics. This role requires strong big-data pipeline skills (Hadoop / Spark), solid RDBMS/SQL depth, and the ability to troubleshoot production data issues in a fast-paced Agile environment.

What You'll Do:

Build data pipelines from transformation specifications to load source data into the data lake using a proprietary big-data processing platform.
Support and improve current data-ingestion processes for proprietary healthcare data applications.
Develop and maintain data-engineering processes using T-SQL, Spark, Scala, and shell scripting.
Review and test data for accuracy and validity before loading to the data lake.
Perform data analysis, data mining, and root-cause investigation using modern analysis tools.
Work with Technical Operations to troubleshoot complex database / environment issues (OS, storage, servers).
Provide off-hours support to resolve production issues when necessary.
Develop tools and techniques that improve process efficiency and data performance.
Mentor junior team members in data engineering and quality best practices.
Support delivery of business priorities in a Scaled Agile Framework (SAFe) environment.

Required Qualifications:

Bachelor's degree in Computer Science, Engineering, or a related field, with 10+ years of industry experience.
8+ years of experience with data aggregation, standardization, linking, quality-check mechanisms, and reporting.
5+ years of experience with big-data technologies such as Hadoop and Spark.
5+ years of experience with RDBMS (Oracle or MS SQL Server) and SQL or other data-integration / ETL tools.
Solid Linux experience, including shell scripting and file systems.
Ability to debug data issues, identify root cause, and fix problems in a fast-paced environment.
EST timezone preferred.
Must be legally authorized to work in the United States without sponsorship now or in the future.

Preferred Qualifications:

Healthcare data experience, preferably in a data-operations role.
Experience with Spark and Scala on large-scale ingestion workloads.
Experience operating in an Agile / SAFe environment.
Advanced SQL and end-to-end Linux / Hadoop operations experience.

About ZipStaff:

ZipStaff partners with leading organizations to connect skilled technology professionals with high-impact contract opportunities. We focus on quality matches and long-term success.

To apply, please submit your resume highlighting your Hadoop/Spark pipeline work, SQL Server or Oracle ETL experience, and any healthcare data background.

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