FiveTran Matillion Data Engineer - Remote
West Hartford, Hartford County, Connecticut, 06107, USA
Listed on 2026-09-02
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Software Development
Data Engineering, SQL Developer
Five Tran HVR DATA ENGINEER – 75/HR REMOTE
HVR, Snowflake, and Matillion are the critical/non‑negotiable skills needed. Software engineer/developer or ETL/data integration/big data developer with experience in projects emphasizing data processing and storage.
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, unit and integration tests, and create/update process documentation. Work with the Business Intelligence team and operational stakeholders to design and implement both the data presentation layer available to the user community, as well as 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.
- Independently analyze, solve, and correct issues in real time, providing problem resolution end‑to‑end.
- Design and develop ETL processes that will transform a variety of raw data, flat files, XLS spreadsheets into SQL databases.
- Understand the concept of data marts and data lakes and experience with migrating legacy systems to data marts/lake.
- Use additional cloud technologies (e.g., understand 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 with customers, contractors, technical end users, and management team members.
- Manage multiple projects, responsibilities and competing priorities.
- Programming languages, frameworks, and file formats:
Python, SQL, PL/SQL, and VB. - Database platforms:
Oracle, SQL Server, MySQL. - Big data concepts and technologies such as Synapse & Databricks.
- AWS and Azure cloud computing.
- HVR data replication.
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