Mid Level Etl Developer Jobs

Mid level etl developer jobs go to engineers ready to own pipelines end to end, make architectural decisions with limited oversight, and guide junior teammates through complex data workflows. Openings run across on-site, remote, and hybrid settings in Technology & Software, Investment & Asset Management, and Banking & Financial Services, with employers like Citi, JPMorganChase, and AFL hiring at this level now.

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Overview

Open roles22
Top stateFlorida
Top employerCiti
Top cityTampa, FL
Work type64% On-site
Top industryTechnology

Showing 5 of 22+ Mid Level Etl Developer jobs

Barclays
Senior ETL Developer
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Barclays
New 1m ago
Senior ETL Developer
Barclays
Whippany, New Jersey
Business Operations
Compliance & Risk
Project Management
$190k - $209k/yr
10,000+

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JPMorganChase
Software Engineer III - Data, AWS, ETL, Java/Python,
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JPMorganChase
New 1m ago
Software Engineer III - Data, AWS, ETL, Java/Python,
JPMorganChase
Plano, Texas
Product Management
Software Engineering
Technical Product & Program Management
10,000+

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KAYAK
ETL Engineer
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KAYAK
New 1m ago
ETL Engineer
KAYAK
Cambridge, Massachusetts
Business Analysis
Business Strategy
Corporate Development & M&A
$115k - $120k/yr
1,001-5,000

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SDA, Inc.
Senior Big Data Engineer (Java, Kafka, Spark, ETL)
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SDA, Inc.
New 1m ago
Senior Big Data Engineer (Java, Kafka, Spark, ETL)
SDA, Inc.
Arlington, Virginia
Cloud Engineering
Data Engineering
Data Science
Bachelor's degree in engineering
11-50

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L.A. Care Health Plan
Lead ETL Data Integration Developer
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L.A. Care Health Plan
New 1m ago
Lead ETL Data Integration Developer
L.A. Care Health Plan
Los Angeles, California
Business Analyst
Data Analytics
$121k - $200k/yr
Bachelor's degree in statistics
1,001-5,000

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Mid Level Etl Developer Job Market

Who's Hiring

  • Citi
    Citi3
  • JPMorganChase
    JPMorganChase2
  • AFL
    AFL1
  • KAYAK
    KAYAK1
  • Noblis
    Noblis1

Top Industries Hiring

  • Technology & Software9
  • Investment & Asset Management6
  • Banking & Financial Services5
  • Construction & Real Estate3
  • Consulting & Professional Services3

Mid Level Etl Developer Jobs: Frequently Asked Questions

How do I get a mid level etl developer job?

Position yourself around ownership, not just execution. Highlight pipelines you designed rather than tasks you completed, call out the business problems your data work solved, and show familiarity with orchestration tools like Airflow or dbt alongside core SQL and Python skills. Recruiters at this level want to see that you can take a requirement from a stakeholder and deliver a reliable, documented solution independently.

Which companies hire mid level etl developers?

Companies hiring mid level etl developers right now include Citi, JPMorganChase, and AFL, based on current listings on Migrate Mate as of July 2026. Hiring at this level covers large enterprises with mature data infrastructure, fast-growing technology companies scaling their analytics stacks, and consulting firms staffing client data transformation projects.

Are there remote mid level etl developer jobs?

Yes, remote availability is strong at this level. About 36% of mid level etl developer openings are remote or hybrid as of July 2026, reflecting how data engineering work adapts well to distributed teams. Fully on-site roles do exist, particularly at companies in regulated industries that keep sensitive data environments tightly controlled.

How do I move up to a mid level etl developer role?

The path from entry level to mid level runs through progressively larger ownership. Early on, focus on mastering a core stack, contributing to production pipelines, and fixing real data quality issues. Over time, take ownership of full pipeline builds, document your work thoroughly, and seek out projects where you make design decisions rather than following a spec. Demonstrable impact on data reliability or processing efficiency signals readiness for mid level responsibilities.

Which industries hire the most mid level etl developers?

Mid Level etl developer roles concentrate in Technology & Software, Investment & Asset Management, and Banking & Financial Services, based on current listings on Migrate Mate as of July 2026. These sectors drive demand because they manage large, heterogeneous data sources that require dependable transformation pipelines to support analytics, reporting, and operational decision-making at scale.