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ETL DEVELOPER - DATABRICKS - REMOTE

Contract Staffing RecruitersUnited States🇺🇸United StatesPosted 1 Sept 2026

Why This Role Stands Out

This remote ETL Developer role offers a fantastic opportunity to build and maintain critical data pipelines for a leading aerospace client, leveraging Databricks and your SQL and Python expertise. You'll thrive in this position if you enjoy problem-solving and developing robust data solutions, and this is an excellent chance to expand your skills within a dynamic technical environment.

Quick Overview

Seniority
Mid Senior
Work mode
Remote
Location
United States
Posted
1 week ago
SQLETLAzureData PipelineDatabricksJiraPython

Job Description

We are looking for an ETL Developer for a long term contract with our aerospace client. In this role you will design, build, and maintain data pipelines by extracting, transforming, and loading complex data from engineering, manufacturing, and supply chain sources into data warehouses. They ensure data accuracy for analysis, often utilizing SQL, Python, and tools like Informatica, PowerBI, and other production-level, high-reliability systems.

Key Responsibilities

  • Data Pipeline Development: Create, automate, and maintain robust ETL/ELT processes to move data from various sources (e.g., PLM systems, databases, APIs) to data lakes or warehouses such as Databricks.
  • Data Modeling & Transformation: Design source-to-target mappings, transform data into usable formats, and develop complex SQL queries and scripts.
  • System Integration & Maintenance: Integrate data from different systems (finance, engineering, operations) and monitor data quality, ensuring consistency and accuracy.
  • Troubleshooting: Identify and resolve data defects, performance issues, and bottlenecks in data workflows.
  • Documentation: Maintain technical documentation, including data flow diagrams and data dictionary definitions

Required

  • MS SQL - relational databases, data types, functions, stored procedures, sql agent
  • SSIS - visual studio, etl experience, sequencing, error handling, tokenization
  • Databricks experience
  • Troubleshooting / googling to solve problems

 

Optional tools/experience

  • Github
  • Dynamics
  • Jira
  • Databricks
  • Azure stack
  • Zeta Cloud
  • Aerospace / complex business process background
  • Ability to track solution end to end (ie: dynamics, databricks, pbi)

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