Senior Data Engineer

Senior Data Engineer at Jobgether scores 45 out of 100 on AI centrality, which makes it a Level 2 role on this board.

Remote (US)seniorFull-time

AI in this role

Lead data engineering efforts to build scalable data warehouses, pipelines, and reporting systems using AI-assisted development tools.

pythonsqlkubernetes

data-engineeringetldata-warehousinganalytics

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Engineer based in United States.

This is a senior-level opportunity to lead the design, development, and scaling of a data warehouse and analytics platform supporting enterprise customers and internal teams. You will shape the architecture behind secure data isolation, warehouse pipelines, and provisioning infrastructure. A key focus will be enforcing database-level access controls while enabling customers to run ad-hoc queries against shared data infrastructure. Internally, you will build reliable models, dashboards, and reporting systems that teams can use with confidence. You’ll collaborate closely with engineering, support, customer success, and other stakeholders to improve automation, scalability, data quality, and compliance. The role is ideal for a hands-on engineer who embraces AI-assisted development and builds reusable systems that can grow with the business.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Data EngineeringEtlData WarehousingAnalyticsPythonSqlKubernetes

Questions you could be asked

Tell me about a project where data engineering was part of your work. What did you do?
Tell me about a project where etl was part of your work. What did you do?
Tell me about a project where data warehousing was part of your work. What did you do?
Tell me about a project where analytics was part of your work. What did you do?
Walk me through how you've used Python in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Data Engineering, Etl, Data Warehousing, Analytics, and Python. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Put the AI tool in a bullet point about what you did, not just in a skills list — this role treats it as a required part of the job.

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