Data Analytics Engineer

American Recruiting & Consulting GroupJacksonville, FL
16hHybrid

About The Position

SQL Data Engineer – HYBRID (JACKSONVILLE, FL) ARC Group has an immediate opportunity for a SQL Data Engineer! This is starting out as a 12 month contract position with potential to extend longer or possibly convert to FTE. The position is hybrid, with a couple of days per week onsite in Jacksonville, FL. This is a fantastic opportunity to join a dynamic and well-respected organization offering tremendous career growth potential. Reference # 19409-1 Hybrid role in Jacksonville, FL SQL Data Engineer – Onsite (JACKSONVILLE, FL) Ideal Candidate Profile A Senior Data Engineer/Developer with: Advanced SQL & Data Warehousing Expertise NO H1B, EAD, GC EAD Please. Job Description:

Requirements

  • Writing highly complex SQL queries (joins across large fact tables, window functions, performance tuning)
  • Designing and optimizing Star/Snowflake schemas
  • IBM Netezza (Preferred)
  • Microsoft SQL Server
  • Oracle Database
  • Handling large-scale batch processing (10TB+ datasets preferred)
  • Nightly claims or transactional processing pipelines
  • Indexing, partitioning, query performance optimization
  • Writing complex SQL queries for ELT/ETL pipelines in Netezza (preferred) or similar RDBMS (SQL Server, Oracle).
  • Designing optimized data models (fact/dimension tables) for analytics.
  • Handling high-volume batch jobs (e.g., nightly claims processing).
  • Netezza, SQL Server, SSIS, or similar ETL tools.
  • Unix/Linux Scripting for Automation.
  • Automating data pipelines (e.g., cron jobs, error handling, file transfers).
  • Stored Procedure Development.
  • Building reusable, efficient stored procedures for data transformations and batch workflows.
  • MVC Code Integration.
  • Collaborating with application teams to connect .NET MVC applications (C#, ASP.NET) to the data warehouse via APIs or direct SQL calls.

Nice To Haves

  • Healthcare Data Experience
  • Familiarity with healthcare datasets (claims, EHR, HL7) and compliance (HIPAA, PHI).
  • Understanding of healthcare analytics use cases (risk modeling, population health).
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