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Data Engineer - ETL

Insight Global

Jacksonville, FLJob$60–68/hrSeen todaySeen in employer's feed today

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At a glance

Compensation
$60–68/hr
Location
Jacksonville, FL
Work Authorization
Not specified

Olive focuses on jobs in the United States, including remote roles you can work from there.

Job overview

The Senior Data Engineer will modernize an on-premises SQL Server environment and support its transition to a corporate-managed Databricks platform. The role redesigns legacy ETL processes, builds ODS and DWH pipelines, and embeds operational controls, data quality, and governance into engineering. The posting lists a pay range of $60–$68 per hour based on years of experience.

Skills & qualifications

RequiredNice to have

Skills

SQL, nice to haveMicrosoft SQL Server, nice to haveETL/ELT Pipelines, nice to haveRelational Databases, nice to haveData Warehousing, nice to haveIncremental Data Processing, nice to haveData Issue Troubleshooting, nice to haveSource-to-Target Reconciliation, nice to haveSource Control, nice to haveSoftware Development Practices, nice to haveAnalytical Skills, nice to haveDocumentation, nice to haveCommunication, nice to haveDatabricks, nice to havePython, nice to havePySpark, nice to haveApache Spark, nice to haveLegacy ETL Migration, nice to haveCloud Data Platforms, nice to haveDimensional Modeling, nice to haveData Quality Automation, nice to haveSOX-Controlled Environments, nice to haveRegulated Environments, nice to haveProperty and Casualty Insurance, nice to haveGuidewire Applications, nice to haveGuidewire ClaimCenter, nice to haveGuidewire BillingCenter, nice to havePredictive Analytics, nice to haveMachine Learning, nice to haveModel Lifecycle Management, nice to haveGenerative AI, nice to haveLarge Language Models, nice to haveRetrieval-Augmented Generation, nice to haveVector Search, nice to haveAI-Assisted Data Engineering, nice to have

Full job description

Job Description

We are seeking a Senior Data Engineer to simplify and modernize our on-premises SQL Server data environment and support the transition to a corporate-managed Databricks platform. This role will redesign legacy ETL processes, build reliable ODS and DWH pipelines, and embed operational controls, data quality and governance into the engineering lifecycle.

pay ranges from $60-68/hr based on years of experience

Skills and Requirements

Strong SQL and Microsoft SQL Server development experience.

Hands-on experience designing, building and supporting ETL/ELT pipelines.

Knowledge of relational databases, data warehousing and incremental data processing.

Experience troubleshooting complex data issues and reconciling source-to-target results.

Experience with source control and disciplined software development practices.

Strong analytical, documentation and communication skills. Databricks, Python, PySpark or Apache Spark experience.

Experience migrating legacy ETL workloads to a cloud data platform.

Dimensional modeling and data quality automation experience.

Experience in a SOX-controlled or regulated environment.

Property and casualty insurance industry knowledge, including policy, billing, claims or underwriting data, is a strong plus.

Experience working with Guidewire applications or data, including Guidewire ClaimCenter (GWCC), Guidewire BillingCenter (GWBilling) or related policy systems.

Experience engineering feature-ready datasets or pipelines for predictive analytics and machine learning.

Familiarity with model lifecycle concepts, including experimentation, deployment, monitoring and reproducibility.

Exposure to generative AI, large language models (LLMs), retrieval-augmented generation (RAG), vector search or AI-assisted data engineering.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [email protected].

How this job compares

Set against the 6,493 open Data Engineer jobs on Olive Jobs, counted November 14, 2026.

Pay
  • This posting$60–68/hr
  • US median$60–72/hr261 hourly ranges

This range's midpoint, $64/hr, is 4% below the US median midpoint ($67/hr) — in the middle half of Data Engineer hourly ranges across the US.

Openings
Olive Jobs lists 210 open Data Engineer jobs in Florida and 6,493 across the US. 8% of them nationwide are listed as remote or flexible.
Hiring the most in Florida
Experience
Data Engineer postings that state a minimum ask for 5 years of experience at the median; the middle half ask for 3 to 7 years (5,742 postings).
Education
2,564 of the 6,493 open Data Engineer jobs (39%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 14, 2026. Figures based on too few postings are left out.

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