Data Engineer (SQL / Spark / Python)

Summary:
Seeking an Analytics Developer to join a large healthcare IT project. You will be part of a team building and maintaining enterprise grade data pipelines on a Hadoop platform. This hands-on role (hybrid onsite in Jacksonville 2–3 days/week) focuses on data processing (not reporting or BI). You’ll convert and enhance data workflows (e.g. migrating legacy ETL to SQL) and ensure smooth production operations. The contract is W-2 for 12 months (with possible extension), and candidates must have permanent US work authorization.

Responsibilities:

• Develop and maintain batch data processing workflows using Hadoop/Spark. Write and enhance code (Python, PySpark, etc.) for ETL tasks.
• Design, code and unit-test data solutions; convert existing ETL (e.g. AB Initio) to SQL stored procedures as needed.
• Collaborate with analysts, data engineers and stakeholders to gather requirements and deliver technical solutions.
• Write technical specifications and documentation for subsystems and integration points.
• Review code from peers and drive coding standards and best practices.
• Troubleshoot and debug production data jobs; ensure data quality and performance in the Hadoop ecosystem.

Required Skills & Qualifications:

• 3+ years of experience in data engineering or software development.
• Strong SQL skills, including writing stored procedures, joins, indexing, and data manipulation.
• Hands-on experience with Apache Spark (PySpark or Spark SQL).
• Experience with Python in a data processing context.
• Familiarity with Hadoop fundamentals(HDFS, MapReduce/YARN basics).
• Ability to work with large datasets and understand ETL processes.
• Excellent problem-solving, communication, and teamwork skills.
• Must be a US Citizen or Green Card holder (no H1Bs).
• Local to Jacksonville (or willing to relocate) and available to work onsite ~2–3 days per week.
• B.S. in Computer Science or a related field (or equivalent experience).

Preferred/Bonus:

• Any experience with AB Initio or other ETL tools (for understanding legacy migrations).
• Knowledge of healthcare or insurance domain data.
• Exposure to data warehousing concepts, Hive/Oozie, or cloud services (AWS/GCP/Azure).

Additional:

• Location: Jacksonville, FL – hybrid 3 days/week onsite).
• Contract Type: 12-month contract (W-2 through Cloudteam)
• Hours: Core 8am–5pm weekdays
• US work authorization required; must pass background/drug screening.