Data Developer Jobs

Data Developer jobs are open across finance, healthcare, retail, and technology, from entry-level to senior and staff engineer, with specializations in ETL pipeline development, data warehousing, and real-time streaming. See the openings below and apply to the ones that match your experience.

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Overview

Open roles172+
Top stateTexas
Top employerEY
Top cityDallas, TX
Work type38% Hybrid
Top industryTechnology

Showing 5 of 172+ Data Developer jobs

Data Conversion Developer
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New 2h ago
Data Conversion Developer
Fiserv
Berkeley Heights, New Jersey
Software Engineering
Data Science & Analytics
Data Engineering
$90k - $144k/yr
On-Site
Bachelor's
10,000+

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Data Warehouse Developer (Data Warehouse Engineer, Data Engineer)
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Added 1d ago
Data Warehouse Developer (Data Warehouse Engineer, Data Engineer)
Cleveland Steel Container
Hudson, Ohio
Engineering (Non-Software)
Manufacturing Engineering
Specialized Engineering
Bachelor's degree in statistics
501-1,000

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Software Developer, Master Data Management
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Added 1d ago
Software Developer, Master Data Management
MSC Industrial Supply Co.
Davidson, North Carolina
Business Operations
Project Management
$62k - $92k/yr
Master data management
5,001-10,000

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Principal Intelligence Data Developer
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Added 1d ago
Principal Intelligence Data Developer
Nyla Technology Solutions
Annapolis Junction, Maryland
Business Analysis
Data Analytics
Data Science
$213k - $252k/yr
Experience equivalent to degree accepted
11-50

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Data Integrator / Developer
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Added 1d ago
Data Integrator / Developer
KK Technologies LLC
West Sacramento, California
Automation QA
Cloud & DevOps
DevOps
Hybrid

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Data Developer Job Market

Who's Hiring

EY5 open roles
UST5 open roles
Deloitte4 open roles

Top Industries Hiring

  • Technology & Software
  • Education
  • Banking & Financial Services
  • Manufacturing
  • Chemicals & Materials

What Employers Look For

The qualifications that appear most often in data developer jobs.

  • Proficiency in SQL and at least one scripting language such as Python or Scala
  • Experience building and maintaining ETL or ELT pipelines in a cloud environment
  • Hands-on work with a modern cloud data warehouse like Snowflake, BigQuery, or Redshift
  • Familiarity with workflow orchestration tools such as Apache Airflow or similar schedulers
  • Understanding of data modeling concepts including dimensional modeling and normalization
  • Bachelor's degree in computer science, information systems, engineering, or a related field

Tips for Your Data Developer Job Search

Tailor your resume to pipeline specifics

Generic data roles blur together on a recruiter's screen. Call out the exact orchestration tools you've used, whether Airflow, dbt, or Spark, the data volumes you've moved, and the downstream consumers your pipelines served. Vague claims about 'data experience' get filtered out fast.

Show your data modeling decisions in writing

Hiring managers for data developer roles want evidence of schema design judgment, not just execution. Add a short README or portfolio page explaining why you chose a star schema over a snowflake, or when you opted for incremental over full refresh. That reasoning separates you from candidates who only list tools.

Apply early to roles that fit

Migrate Mate lists data developer openings from across the United States in one place, so you can find roles that match and apply directly to each listing.

Filter postings by the warehouse they use

Your ramp-up time, and how quickly you can contribute, often comes down to whether the team runs Snowflake, BigQuery, or Redshift. When searching, prioritize postings that match your primary warehouse so your first technical screen doesn't start with unfamiliar syntax.

Prepare a live coding sample for take-homes

Many data developer interviews include a take-home where you write and explain a transformation against a sample dataset. Practice narrating your logic out loud while you write SQL or Python. Interviewers frequently score commentary on trade-offs as heavily as the code itself.

Negotiate around on-call rotation and SLA ownership

Data developers who own production pipelines often inherit on-call duties that never appear in the job posting. Before accepting an offer, ask how incidents are triaged, what the escalation path looks like, and whether on-call compensation is separate from base. The answers reveal a lot about team health.

Data Developer Jobs: Frequently Asked Questions

Which companies are hiring the most data developers?

EY, UST, and Deloitte are hiring the most data developers right now, with openings concentrated in Texas, California, and Maryland, based on current listings on Migrate Mate as of November 2026. Demand is especially consistent at large technology, financial services, and healthcare organizations that run high-volume data infrastructure.

How many data developer jobs are remote?

About 75% of data developer openings are fully remote or hybrid as of November 2026, reflecting strong demand for distributed engineering talent. Pipeline engineering and cloud-based transformation work tend to be the most remote-friendly sub-areas, while roles tied to on-premise data centers or embedded analytics teams more often require in-office presence.

How do you become a data developer?

Start by building a solid foundation in SQL and a scripting language like Python. Then work through hands-on projects that involve extracting, transforming, and loading data into a cloud warehouse. Learn a workflow orchestration tool, understand data modeling patterns, and document your work in a public portfolio. Entry-level roles, analyst positions, or data engineering bootcamps can all serve as practical on-ramps.

Can you get a data developer job with little or no experience?

Yes, but you need to substitute demonstrated project work for formal experience. Build end-to-end pipelines using public datasets, publish the code, and write up what each pipeline does and why you built it that way. Roles titled junior data engineer, data analyst, or analytics engineer are realistic first targets and often share the same core skill set as more senior data developer positions.

What does the data developer interview process look like?

Most data developer interviews run in four stages: an initial recruiter screen focused on background and logistics, a technical phone screen with SQL or Python questions, a take-home or live coding exercise involving pipeline design or data transformation, and a final loop with the engineering team covering system design, past projects, and cross-functional collaboration. Some companies add a data modeling or architecture discussion in the final round.

Where can I find and apply to data developer jobs?

You can find and apply to data developer jobs on Migrate Mate, which lists current openings from across the United States. Search the listings to find roles that fit your experience, stack, and location preferences, then apply directly to each one that matches.

See All 172+ Data Developer Jobs

Find roles that match your experience and apply in just a few clicks.

Find Data Developer Jobs