Data Platform Engineer Jobs

Data Platform Engineer jobs are open across fintech, healthtech, enterprise software, and media at every level from new-grad to principal and staff, with specializations in data infrastructure, pipeline architecture, and cloud data warehouse engineering. Find a role that fits from the openings below and apply directly.

Find Data Platform Engineer JobsLooking for remote work? View remote data platform engineer jobs →

Overview

Open roles427+
Top stateCalifornia
Top employerApple
Top citySan Francisco, CA
Work type36% On-site
Top industryTechnology

Showing 5 of 427+ Data Platform Engineer jobs

Caterpillar
Lead Data Engineer – Physical AI Platform, Data Engineering
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Caterpillar
Added 1d ago
Lead Data Engineer – Physical AI Platform, Data Engineering
Caterpillar
Irving, Texas
Cloud Architecture
Solutions Architecture
Technical Product & Program Management
Technical Program Management
$128k - $209k/yr
Bachelor's degree
10,000+

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Microsoft
Innovative Data Platform Solution Engineer
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Microsoft
Added 1d ago
Innovative Data Platform Solution Engineer
Microsoft
Ontario, California
Business Development
Customer Success
Project Management
$96k - $178k/yr
Bachelor's degree in information technology
10,000+

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Comcast
Product Manager, Data Platform
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Comcast
Added 1d ago
Product Manager, Data Platform
Comcast
New York, New York
Product Management
Project & Program Management
Strategy & Corporate Development
Project Management
Business Strategy
Data Engineering
$125k - $188k/yr
On-Site
Bachelor's
10,000+

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Apple
Site Reliability Engineer, Apple Data Platform
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Apple
Added 1d ago
Site Reliability Engineer, Apple Data Platform
Apple
Austin, Texas
Backend Engineering
Software Engineering
Bachelor of Science
10,000+

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JPMorganChase
Software Engineer III - AWS Data Platform Engineer
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JPMorganChase
Added 2d ago
Software Engineer III - AWS Data Platform Engineer
JPMorganChase
Plano, Texas
Business Analysis
Compliance & Risk
Consulting & Professional Services
AWS Certified Solutions Architect – Associate
10,000+

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Top Cities Hiring Data Platform Engineers

Explore data platform engineer openings in the cities hiring most right now.

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Data Platform Engineer Job Market

Who's Hiring

  • Apple
    Apple14
  • Amazon
    Amazon10
  • TikTok
    TikTok8
  • JPMorganChase
    JPMorganChase7
  • GEICO
    GEICO6

Top Industries Hiring

  • Technology & Software69
  • Banking & Financial Services16
  • Consulting & Professional Services9
  • Electronics & Hardware7
  • Retail6

What Employers Look For

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

  • 5+ years of experience designing and building scalable data pipelines and ETL workflows
  • Proficiency with cloud data platforms such as Snowflake, BigQuery, or Redshift
  • Hands-on experience with orchestration tools including Apache Airflow or Prefect
  • Strong SQL skills and experience with dbt for data transformation and modeling
  • Experience with streaming technologies such as Apache Kafka or Apache Spark
  • Bachelor's degree in Computer Science, Data Engineering, or a related technical field

Tips for Your Data Platform Engineer Job Search

Tailor your resume to each stack

Generic data engineer resumes get screened out fast. Match the tools you list to each job description: if the role specifies dbt, Airflow, and Snowflake, those names need to appear in your bullet points with measurable outcomes tied to each.

Show data lineage work on GitHub

Hiring managers for platform roles check public repos. Push a project that demonstrates end-to-end pipeline design with documentation, not just raw scripts. Lineage diagrams and schema versioning examples set your portfolio apart from candidates who only list tools.

Apply early to roles that fit

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

Target companies by their data maturity

A seed-stage startup needs a builder who sets up infrastructure from scratch. A public company with a mature platform needs someone who optimizes and scales. Reading the job description for phrases like 'greenfield' or 'modernize existing pipelines' tells you which mode you're walking into.

Prepare a system design answer on streaming vs batch

Almost every technical screen for this role includes a data architecture question. Walk through your decision process for choosing Kafka over scheduled batch jobs, or vice versa, with a real tradeoff you've navigated. Interviewers want reasoning, not definitions.

Negotiate by anchoring to cloud cost savings

Data platform engineers directly affect infrastructure spend. Before your offer conversation, quantify cost reductions you've driven through query optimization, partitioning, or storage tiering. Framing your value in dollars your previous employer saved gives you concrete leverage.

Data Platform Engineer Jobs: Frequently Asked Questions

Which companies are hiring the most data platform engineers?

The companies hiring the most data platform engineers right now include Apple, Amazon, and TikTok, with the largest share of openings in California, New York, and Texas, based on current listings on Migrate Mate as of August 2026. Demand is especially strong at companies undergoing cloud migrations or building out self-serve analytics capabilities.

How many data platform engineer jobs are remote?

About 64% of data platform engineer openings are fully remote or hybrid as of August 2026, making it one of the more remote-accessible infrastructure roles. Sub-areas like cloud data warehouse engineering and pipeline development tend to have the highest share of fully distributed positions, while roles focused on real-time streaming infrastructure more often require on-site collaboration.

How do you become a data platform engineer?

Start by building strong SQL skills and learning a cloud platform like Snowflake, BigQuery, or Redshift. Add hands-on experience with an orchestration tool such as Apache Airflow by building personal projects or contributing to open-source pipelines. Progress through data analyst or junior data engineer roles to develop production experience, then deepen expertise in data modeling with dbt and distributed processing frameworks like Spark to move into senior platform work.

How do you get a data platform engineering job with little experience?

Build a public portfolio that shows pipeline design, not just analysis. Create an end-to-end project using free cloud tiers of Snowflake or BigQuery, schedule it with Airflow, and document it thoroughly on GitHub. Entry-level openings often favor candidates who can demonstrate they've shipped something functional over those with only coursework. Roles titled junior data engineer or analytics engineer are the most common entry points into platform work.

What does the data platform engineer interview process look like?

Most interview processes start with a recruiter screen, followed by a technical phone interview testing SQL and basic pipeline design. A take-home or live coding exercise focused on data modeling or pipeline architecture usually comes next. The final round typically includes a system design session where you walk through building or scaling a data platform, plus a behavioral round with the engineering manager and cross-functional stakeholders.

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

You can find and apply to data platform engineer jobs on Migrate Mate, which lists current openings from across the United States. Search the listings to find roles that match your experience, tools, and preferred location or remote setup, then apply directly to each one that fits.

See All 427+ Data Platform Engineer Jobs

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

Find Data Platform Engineer Jobs