Agile Resources, Inc. logo

Sr. Data Engineer

Agile Resources, Inc.
Department:Data Engineer
Type:REMOTE
Region:USA
Location:United States
Experience:Mid-Senior level
Estimated Salary:$125,000 - $165,000
Skills:
PYTHONETLDATA INTEGRATIONPOSTGRESQLAIRFLOWWINDOWSLINUX
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Job Description

Posted on: November 10, 2025

Sr. Data EngineerRemote - EST or CST1 year contract (potential for extension)No C2C or third parties

We’re looking for a Data Engineer to design, build, and optimize modern data platforms and pipelines supporting advanced analytics and business intelligence initiatives. This role is ideal for someone who enjoys solving complex data challenges, automating data flows, and making information accessible and actionable at scale.

You’ll collaborate closely with analysts, product managers, and engineers to architect and deliver reliable data solutions that drive strategic decision-making.

What You’ll Do

  • Design, develop, and maintain scalable data pipelines and integrations across multiple systems.
  • Support and optimize data warehouse and data lake environments for performance, accessibility, and security.
  • Transform raw data into structured, usable formats for analytics and reporting.
  • Collaborate with analysts and data scientists on data modeling, mapping, and transformation rules.
  • Monitor and troubleshoot production data pipelines to ensure reliability and availability.
  • Stay current on emerging data technologies, contributing to continuous improvement and innovation.

What We’re Looking For

  • 8+ years of experience working with modern data solutions and platforms.
  • Strong programming and scripting skills in Python.
  • Hands-on experience with ETL development and data integration into data warehouses or data lakes.
  • Deep knowledge of Postgres (PostgreSQL), relational database design, and query optimization.
  • Experience working with various data formats (CSV, JSON, Excel, APIs, RDBMS, etc.).
  • Familiarity with automation and orchestration tools such as Airflow or similar frameworks.
  • Working knowledge of Windows and Linux environments.
  • Excellent communication, problem-solving, and documentation skills.

Bonus Skills (Nice to Have):

  • Experience with Microsoft Fabric or Elastic (ELK).
  • Exposure to data governance, observability, or data security best practices.
Originally posted on LinkedIn

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