Mid Level Data Analytics Engineer Jobs

Mid level data analytics engineer jobs go to engineers ready to own data pipelines and reporting systems end to end, mentor junior teammates, and translate complex findings into decisions with limited oversight. Roles cover on-site, hybrid, and remote settings across Consulting & Professional Services, Investment & Asset Management, and Accounting & Auditing, with employers like Deloitte, Capital One, and 4P Consulting hiring at this level now.

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Overview

Open roles88
Top stateCalifornia
Top employerDeloitte
Top cityLos Angeles, CA
Work type85% On-site
Top industryConsulting

Showing 5 of 88+ Mid Level Data Analytics Engineer jobs

Bank of America
GB/GM AML Data Analytics & Reporting - Quantitative Analyst
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Bank of America
New 17h ago
GB/GM AML Data Analytics & Reporting - Quantitative Analyst
Bank of America
Charlotte, North Carolina
Business Analysis
Data Analytics
Data Science
Data Science & Analytics
Bachelor's degree

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University of Wisconsin-Milwaukee
Data Analytics and Business Intelligence Manager
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University of Wisconsin-Milwaukee
Added 3d ago
Data Analytics and Business Intelligence Manager
University of Wisconsin-Milwaukee
Milwaukee, Wisconsin
Higher Education
K-12 Teaching
Teaching & Instruction
$85k - $97k/yr
Hybrid
Master's degree in higher education administration
10,000+

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Sutter Health
Manager, Business Intelligence & Data Analytics
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Sutter Health
Added 4d ago
Manager, Business Intelligence & Data Analytics
Sutter Health
Sacramento, California
Data Science & Analytics
Business Analysis
Project & Program Management
Human Resources
Data Science
Data Analytics
Project Management
$234k/yr
Hybrid
Bachelor's

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Smart IT Frame LLC
Senior Domo Data Analytics Engineer
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Smart IT Frame LLC
Added 4d ago
Senior Domo Data Analytics Engineer
Smart IT Frame LLC
Los Angeles Metropolitan Area
Data Engineering
Data Science & Analytics
Data Analytics
Data Science
On-Site
None

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Capital One
Manager, Data Analysis
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Capital One
Added 5d ago
Manager, Data Analysis
Capital One
McLean, Virginia
Data Science & Analytics
Business Analysis
Project & Program Management
Data Science
$188k/yr
On-Site
Bachelor's
10,000+

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See All 88 Mid Level Data Analytics Engineer Jobs

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Mid Level Data Analytics Engineer Job Market

Who's Hiring

  • Deloitte
    Deloitte19
  • Capital One
    Capital One4
  • 4P Consulting
    4P Consulting4
  • Amazon
    Amazon3
  • JND
    JND2

Top Industries Hiring

  • Consulting & Professional Services27
  • Investment & Asset Management21
  • Accounting & Auditing19
  • Technology & Software14
  • Banking & Financial Services7

Mid Level Data Analytics Engineer Jobs: Frequently Asked Questions

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

Position yourself around ownership, not just contribution. Highlight projects where you defined the approach, resolved ambiguity, and delivered a result stakeholders acted on. Show proficiency in SQL, a cloud data platform, and at least one BI or transformation tool. Applications that demonstrate you can work independently and communicate findings to non-technical audiences stand out at this level.

Which companies hire mid level data analytics engineers?

Companies hiring mid level data analytics engineers right now include Deloitte, Capital One, and 4P Consulting, based on current listings on Migrate Mate as of September 2026. Hiring at this level comes from a wide range of employers, including technology firms, retailers, financial services companies, and healthcare organizations that depend on data-driven decision making.

Are there remote mid level data analytics engineer jobs?

Yes, remote options are common at this experience level. About 15% of mid level data analytics engineer openings are remote or hybrid as of September 2026, reflecting how broadly distributed data teams have become. Fully on-site roles still exist, particularly at companies with strict data governance requirements or collaborative engineering cultures.

How do I move up to a mid level data analytics engineer role?

The path from entry level to mid level is built on depth and demonstrated ownership over time. Early-career engineers grow into mid level by mastering core tooling, taking on complete project cycles rather than isolated tasks, and showing measurable impact through their work. Documenting outcomes, seeking feedback, and progressively reducing reliance on senior guidance signals readiness for promotion or a lateral move up.

Which industries hire the most mid level data analytics engineers?

Mid Level data analytics engineer roles concentrate in Consulting & Professional Services, Investment & Asset Management, and Accounting & Auditing, based on current listings on Migrate Mate as of September 2026. These sectors drive high demand at this experience level because they combine large data volumes with a need for engineers who can operate independently and turn raw data into reliable, decision-ready outputs.