Senior Level Data Analytics Engineer Jobs

Senior level data analytics engineer jobs place experienced engineers in charge of data architecture decisions, end-to-end pipeline ownership, and the cross-functional teams that turn raw data into business outcomes. Roles are concentrated across Technology & Software, Insurance, and Biotechnology & Pharmaceuticals, with a mix of remote, hybrid, and on-site positions, and employers like Xometry, Apple, and Revolution Medicines hiring at this level now.

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Overview

Open roles85
Top stateCalifornia
Top employerXometry
Top cityCupertino, CA
Work type61% On-site
Top industryTechnology

Showing 5 of 85+ Senior Level Data Analytics Engineer jobs

ServiceTitan
Sr Director, Data Science and Analytics
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ServiceTitan
Added 1d ago
Sr Director, Data Science and Analytics
ServiceTitan
California
Business Operations
Business Strategy
Consulting & Professional Services
$320k - $479k/yr
1,001-5,000

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Smart IT Frame LLC
Senior Salesforce AI Data Cloud Analytics Architect
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Smart IT Frame LLC
Added 2d ago
Senior Salesforce AI Data Cloud Analytics Architect
Smart IT Frame LLC
Frisco, Texas
Data Science & Analytics
Solutions Engineering & Architecture
Technical Product & Program Management
Cloud & DevOps
Data Science
Data Analytics
Technical Program Management
On-Site
None

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Smart IT Frame LLC
Data & Analytics Program Manager
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Smart IT Frame LLC
Added 1w ago
Data & Analytics Program Manager
Smart IT Frame LLC
Hartford, Connecticut
Project & Program Management
Data Science & Analytics
Data Engineering
Program Management
Data Science
On-Site
None

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SmartRent
Group Product Manager, Data & Analytics
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SmartRent
Added 1w ago
Group Product Manager, Data & Analytics
SmartRent
Atlanta, Georgia
Product Management
Data Science & Analytics
Software Engineering
Data Science
$155k - $186k/yr
Hybrid
Bachelor's
501-1,000

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Wipro
Data and Analytics Architect L1(Contract)
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Wipro
Added 1w ago
Data and Analytics Architect L1(Contract)
Wipro
Columbus, Ohio
Civil & Structural Engineering
Engineering (Non-Software)
$80k - $158k/yr
10,000+

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Senior Level Data Analytics Engineer Job Market

Who's Hiring

Revolution Medicines
Revolution Medicines6 open roles
Xometry
Xometry5 open roles
Apple
Apple3 open roles

Top Industries Hiring

  • Technology & Software16
  • Insurance8
  • Biotechnology & Pharmaceuticals8
  • Consulting & Professional Services6
  • Manufacturing5

Senior Level Data Analytics Engineer Jobs: Frequently Asked Questions

How do I get a senior level data analytics engineer job?

Employers at this level expect candidates to demonstrate ownership of complex data systems, not just participation in them. Highlight projects where you designed or rebuilt a pipeline, led a migration, or defined modeling standards for a team. Strong candidates also show experience mentoring junior engineers and influencing data strategy, not just executing it. A portfolio with measurable business outcomes carries more weight than credentials alone.

Which companies hire senior level data analytics engineers?

Companies hiring senior level data analytics engineers right now include Xometry, Apple, and Revolution Medicines, based on current listings on Migrate Mate as of September 2026. Hiring at this level comes from a mix of large technology firms, financial services companies, and data-intensive enterprises that need engineers who can own infrastructure and lead analytical teams.

Are there remote senior level data analytics engineer jobs?

Yes, remote availability is strong at this level. About 39% of senior level data analytics engineer openings are remote or hybrid as of September 2026, reflecting how many organizations treat experienced data engineers as distributed contributors. On-site roles tend to cluster in industries with stricter data governance requirements, such as healthcare and financial services.

What makes a data analytics engineer role senior level?

Senior level roles are defined by scope and accountability. Engineers at this stage own the design of data models and pipelines rather than implementing specs written by others, make architectural decisions that affect downstream teams, and are expected to mentor junior and mid-level engineers. They also engage directly with stakeholders to translate business questions into analytical systems, and are responsible for data quality and reliability at scale.

Which industries hire the most senior level data analytics engineers?

Senior level data analytics engineer roles concentrate in Technology & Software, Insurance, and Biotechnology & Pharmaceuticals, based on current listings on Migrate Mate as of September 2026. These sectors share a dependence on large, complex datasets and need engineers who can build and maintain the infrastructure that makes analytics reliable enough to drive decisions at an organizational level.