Senior Data Engineer — Onsite Cloud & Databricks ETL Lead

JPS Tech Solutions

Seattle (WA)

On-site

USD 170,000 - 210,000

Full time

6 days ago
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Job summary

JPS Tech Solutions is seeking a Senior Data Engineer to join an onsite data engineering team in Seattle. You will drive end-to-end data solutions, leveraging Databricks, PySpark, and AWS-based ETL pipelines to modernize a large data platform.

You will independently design, build, and optimize pipelines, engage with architects and stakeholders, and contribute to an Agile environment. This is a hands-on role requiring deep technical expertise and strong communication skills.

Qualifications

  • 12+ years of IT experience with a data engineering focus.
  • Hands-on expertise with Databricks, PySpark, SQL, and AWS-based ETL pipelines.
  • Ability to independently design and build ETL pipelines and optimize SQL queries.
  • Experience deploying production code using Git and CI/CD pipelines.

Responsibilities

  • Design, develop, and maintain scalable ETL/ELT pipelines using Databricks and PySpark.
  • Lead migration of data pipelines from on-premises environments to AWS.
  • Build robust data ingestion frameworks for structured, semi-structured, and unstructured data sources.
  • Write, optimize, and maintain complex SQL queries across RDBMS, data lakes, and federated data environments.
  • Review existing data solutions and recommend architectural improvements for performance, scalability, and maintainability.
  • Collaborate with data architects, analysts, and business stakeholders to translate requirements into technical solutions.

Skills

Databricks
PySpark
SQL
Python
AWS-based ETL pipelines
Git & CI/CD

Education

Bachelor's degree in Computer Science

Tools

AWS services (EC2, S3, EMR)
Databricks
Apache Spark / PySpark

Job description

JPS Tech Solutions is seeking a Senior Data Engineer to join an onsite data engineering team in Seattle. You will drive end-to-end data solutions, leveraging Databricks, PySpark, and AWS-based ETL pipelines to modernize a large data platform.

You will independently design, build, and optimize pipelines, engage with architects and stakeholders, and contribute to an Agile environment. This is a hands-on role requiring deep technical expertise and strong communication skills.

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