United Services Automobile AsnHiring

Senior Data Engineer

  • Remote, United States
  • Senior
  • Posted 3 days ago
In one line

Senior Data Engineer is a remote role in the United States at a financial services company for the military community.

About the role

Building and running data solutions that serve reporting and analytics across the business is the core of the job. The engineer also helps set technical direction and mentors others on the team.

At a glance

Pay
Not stated in the posting
Remote scope
Remote, United States
Seniority
Senior
Skills
SQL, Relational databases, Cloud technologies, Data pipelines, Data modeling, Agile
Posted
26 Oct 2026
Last checked
29 Oct 2026

What you will do

  • Engineer data solutions end to end: analysis, design, pipelines, testing, deployment, scheduling and production support
  • Design and optimize pipelines covering transformation, models, schemas, metadata, data quality and workload management
  • Lead design reviews, build proof of concepts and present technical approaches to leadership
  • Run code reviews and help maintain the team's data development tools and standards

What they look for

  • A bachelor's degree, or four years of relevant education or experience
  • Six years in data engineering, data analysis or software development, with at least two in data engineering or data management
  • Hands-on delivery of pipelines in cloud environments and modeling for data marts, data lakes and operational analytics
  • Solid SQL and relational database skills, plus a working grasp of agile principles
  • Experience with cloud technologies and tools

Nice to have

  • Mentoring or technical leadership experience

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Questions about this job

Can I do this job remotely, and from which countries?

Yes. The posting lists Senior Data Engineer as a remote role for candidates in the United States.

What does this job pay?

No pay range is stated in the posting.

What experience is needed?

It is a senior role. The posting asks for: a bachelor's degree, or four years of relevant education or experience; six years in data engineering, data analysis or software development, with at least two in data engineering or data management; hands-on delivery of pipelines in cloud environments and modeling for data marts, data lakes and operational analytics. Skills it names include SQL, Relational databases, Cloud technologies, Data pipelines.

How do I apply with Keywordise AI?

Press the Apply with Keywordise AI button and add your CV. Keywordise tailors your CV and cover letter to this posting and sends the application for you, with a free 7-day trial and no card.

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