Data Solutions Engineer Jobs

Data Solutions Engineer jobs are open across fintech, healthcare, logistics, and enterprise software, from entry-level to principal and staff, with specializations in data pipeline architecture, cloud integration, and analytics infrastructure. See the openings below and apply to the ones that match your experience.

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Overview

Open roles360+
Top stateTexas
Top employerApple
Top cityAustin, TX
Work type44% Hybrid
Top industryTechnology

Showing 5 of 360+ Data Solutions Engineer jobs

Data Integration Architect (Solutions Architect 3/4)
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New 3h ago
Data Integration Architect (Solutions Architect 3/4)
Los Alamos National Laboratory
Los Alamos, New Mexico
Compliance & Risk
Project Management
Quality Assurance & Testing (QA Testing)
$117k - $238k/yr
Bachelor's degree
10,000+

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IT Data Solutions Analyst I
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New 5h ago
IT Data Solutions Analyst I
ARUP Laboratories
Salt Lake City, Utah
IT Support
Project Management
Technical Program Management
Bachelor's degree in statistics
1,001-5,000

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Enterprise Data Solutions Manager
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New 7h ago
Enterprise Data Solutions Manager
Cerrowire
Montgomery, Alabama
IT Support
Project Management
Technical Program Management
$80k - $120k/yr
Bachelor of Science
201-500

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Jr. Data Solutions and Software Engineer
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New 13h ago
Jr. Data Solutions and Software Engineer
The Aerospace Corporation
El Segundo, California
Backend Engineering
Full-stack Engineering
Software Engineering
$82k - $123k/yr
Master's degree
1,001-5,000

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Program Manager - Product Data Solutions
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New 14h ago
Program Manager - Product Data Solutions
Rockwell Automation
Milwaukee, Wisconsin
Business Strategy
Product Management
Project Management
Hybrid
Bachelor's degree
10,000+

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Data Solutions Engineer Job Market

Who's Hiring

  • Apple22
  • Amazon Web Services12
  • Amazon9
  • Thermo Fisher Scientific8
  • Delta Electronics (Americas)8

Top Industries Hiring

  • Technology & Software16
  • Electronics & Hardware10
  • Banking & Financial Services4
  • Insurance2
  • Manufacturing2

What Employers Look For

The qualifications that appear most often in data solutions engineer jobs.

  • Proficiency in SQL and at least one of Python, Scala, or Java
  • Experience building and maintaining ETL or ELT data pipelines
  • Hands-on work with cloud platforms such as AWS, Azure, or Google Cloud
  • Familiarity with data warehousing tools such as Snowflake, Redshift, or BigQuery
  • Understanding of data modeling concepts and dimensional design patterns
  • Bachelor's degree in computer science, data engineering, information systems, or a related field

Tips for Your Data Solutions Engineer Job Search

Tailor your resume to pipeline work

Data solutions engineer roles weight hands-on pipeline and integration experience heavily. List the specific tools you used, the data volumes you moved, and the systems you connected, rather than describing your team's output in general terms.

Apply early to roles that fit

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

Show architecture decisions in a portfolio

Hiring managers for this role want to see that you can design, not just build. Include a write-up or diagram of a system you architected, explaining the tradeoffs you made between latency, cost, and maintainability.

Target postings by the tech stack

Data solutions engineer job descriptions vary widely by stack. Filter your search by tools you know well, such as Spark, dbt, Kafka, or Snowflake, so your application speaks directly to what the team is already running rather than a generic skill set.

Prepare for a live coding and design round

Most data solutions engineer interviews include both a SQL or Python coding screen and a system design session focused on data modeling or ETL architecture. Practice designing end-to-end pipelines out loud, explaining your assumptions as you go.

Negotiate scope and on-call expectations

Data infrastructure roles often carry on-call rotations and cross-team dependencies that aren't listed in the posting. During the offer stage, ask directly about production support expectations and team ownership of pipelines before you finalize your decision.

Data Solutions Engineer Jobs: Frequently Asked Questions

Which companies are hiring the most data solutions engineers?

Apple, Amazon Web Services, and Amazon are hiring the most data solutions engineers right now, with openings concentrated in Texas, California, and New York, based on current listings on Migrate Mate as of November 2026. Demand is especially active at companies modernizing legacy data infrastructure or scaling cloud analytics platforms.

How many data solutions engineer jobs are remote?

About 84% of data solutions engineer openings are fully remote or hybrid as of November 2026, reflecting the cloud-native nature of most data infrastructure work. Roles focused on cloud pipeline development and analytics integration tend to offer the most remote flexibility, while positions requiring close coordination with on-premises systems are more likely to require on-site presence.

How do you become a data solutions engineer?

Start by building a strong foundation in SQL, Python, and at least one cloud platform. Work through hands-on projects that involve designing and deploying data pipelines, connecting APIs to warehouses, or transforming raw data with tools like dbt or Spark. A portfolio showing real architecture decisions accelerates hiring conversations more than certifications alone.

Can you get a data solutions engineer job with little experience?

Yes, entry-level data solutions engineer roles do exist, particularly at companies that distinguish the role from senior data engineering positions. Focus your applications on teams using modern cloud stacks where your project work is directly comparable, contribute to open-source data tooling, and frame any analytics or backend development experience in terms of data movement and integration.

What does the data solutions engineer interview process look like?

The process typically starts with a recruiter screen, followed by a technical phone interview covering SQL and Python fundamentals. Later rounds include a take-home or live coding exercise focused on pipeline logic, plus a system design session where you walk through how you would architect a data solution end to end. Final rounds often include a cross-functional conversation with data analysts or product stakeholders.

Where can I find and apply to data solutions engineer jobs?

You can find and apply to data solutions engineer jobs on Migrate Mate, which lists current openings from across the United States. Search for roles that match your stack and experience level, then apply directly to each listing that fits.

See All 360+ Data Solutions Engineer Jobs

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

Find Data Solutions Engineer Jobs