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Data Engineer - Databricks

Job in Farmington, Hartford County, Connecticut, 06030, USA
Listing for: Jobs via Dice
Full Time position
Listed on 2026-02-28
Job specializations:
  • Engineering
    Data Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Contract Staffing Recruiters, is seeking the following. Apply via Dice today!

We are seeking a Data Engineer with experience in projects emphasizing complex data solutions.

This person will be responsible for supporting the data ingestion, transformation, and distribution to end consumers. Candidate will perform requirements analysis, design/develop process flow, and unit/integration testing, to deliver complex data products.

  • Work with the Business Intelligence team and operational stakeholders to design and implement both the data presentation layer available to the user community, and the underlying technical architecture of the data warehousing environment.
  • Develop scalable and reliable data solutions to move data across systems from multiple sources in real time as well as batch modes.
  • Design and develop database objects, tables, stored procedures, views, etc.
  • Design and develop ETL processes that transform a variety of raw data, flat files, and spreadsheets into SQL databases.
  • Understand the concept of data marts and data lakes and have experience migrating legacy systems to data marts/lakes.
  • Use additional cloud technologies (e.g., Azure SQL Server).
  • Maintain comprehensive project documentation.
  • Aptitude to learn new technologies and to perform continuous research, analysis, and process improvement.
  • Strong interpersonal and communication skills to work in a team environment with customers, contractors, and management.
  • Manage multiple projects, responsibilities, and competing priorities.
Experience Needed
  • Programming languages, frameworks, and file formats such as Python, SQL, PLSQL, DBT.
  • Database platforms such as Oracle, SQL Server, MySQL.
  • Big data concepts and technologies such as Synapse and Databricks.
  • AWS and Azure cloud computing.
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