Data Engineer - (Databricks) - 100% Remote

ContractStaffingRecruiters.com; Branford (CT); Remote; USD 90,000 - 120,000; Full time

Job summary

ContractStaffingRecruiters.com is seeking a leader for a long-term remote contract position in Branford, Connecticut. The ideal candidate must have strong experience with Databricks and be capable of designing and developing ETL processes to transform various data formats into SQL databases.

Responsibilities include managing multiple projects and continuously researching new technologies to improve processes. Strong communication and teamwork skills are essential for success in this fast-moving environment.

Qualifications

• Experience with Databricks and building ETL processes.
• Familiarity with data marts and data lakes.
• Ability to manage multiple tasks and priorities effectively.

Responsibilities

• Design and develop ETL processes for data transformation.
• Research and implement new technologies for process improvement.
• Maintain comprehensive project documentation and communicate with team members.

Skills

Databricks

Python

SQL

PL/SQL

VB

Oracle

SQL Server

MySQL

Big data concepts

Azure SQL Server

Job description

Remote, long-term one-year contract (plus on‑ward) position for our client.

Databricks experience is a must. We are looking for a leader who loves Databricks and can work on a fast‑moving team.

Design and develop ETL processes that transform a variety of raw data – flat files, Excel spreadsheets – into SQL databases.

Understand the concepts 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) and maintain comprehensive project documentation.

Have aptitude to learn new technologies and conduct continuous research, analysis, and process improvement.

Strong interpersonal and communication skills to work in a team environment with customers, contractors, end users, and management.

Manage multiple projects, responsibilities, and competing priorities.

Experience Needed

• Programming languages, frameworks, and file formats such as Python, SQL, PL/SQL, and VB
• Database platforms such as Oracle, SQL Server, MySQL
• Big data concepts and technologies such as Synapse and Databricks