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Data Engineer - Remote

Remote / Online - Candidates ideally in
West Hartford, Hartford County, Connecticut, 06107, USA
Listing for: ContractStaffingRecruiters.com
Remote/Work from Home position
Listed on 2026-09-02
Job specializations:
  • Software Development
    Data Engineering, SQL Developer
Salary/Wage Range or Industry Benchmark: 90000 - 130000 USD Yearly USD 90000.00 130000.00 YEAR
Job Description & How to Apply Below
Position: Data Engineer - 100% Remote

The Opportunity:

  • We are seeking a Data Engineer with experience in projects emphasizing complex data solutions.
  • This person will be responsible for supporting data transformation and distribution to end consumers.
  • Candidate will assist with 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
  • 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 will transform a variety of raw data, flat files, xl spreadsheets into SQL Databases
  • Understands the concept of Data Marts and Data lakes and experience with migrating legacy systems to data marts/lake
  • Uses additional cloud technologies (e.g., understands concept of Cloud services like Azure SQL server)
  • Maintain comprehensive project documentation
  • Aptitude to learn new technologies and the ability to perform continuous research, analysis, and process improvement.
  • Strong interpersonal and communication skills to be able to work in a team environment to include customer and contractor technical, end users, and management team members.
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 & Databricks
  • AWS and Azure cloud computing
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