Data Engineer Jobs
Data Engineer jobs are open across fintech, healthtech, e-commerce, media, and enterprise software, from entry-level to staff and principal, with specializations in data pipeline architecture, cloud infrastructure, and streaming systems. Find a role that fits from the openings below and apply directly.
Find Data Engineer JobsLooking for remote work? View remote data engineer jobs →Student or new grad? View data engineer internships →Overview
Showing 5 of 3,797+ Data Engineer jobs
Role: Data Cloud Data 360 Conversion Engineer
Location: Philadelphia, PA (REMOTE)
Employment Type: Full-Time
Must Have Technical/Functional Skills
- 10+ years’ experience with Data 360 data migration and conversion tools.
- Salesforce Data Cloud (Data 360)
- Experience in HR technology platforms (like Workday, SAP, etc.)
- Strong experience with ETL tools
- Proven track record of data migration
- Strong understanding of data mapping, data quality, and validation methodologies.
- Successful implementations in prior years of experience
Role: Data Cloud Data 360 Conversion Engineer
Location: Philadelphia, PA (REMOTE)
Employment Type: Full-Time
Must Have Technical/Functional Skills
- 10+ years’ experience with Data 360 data migration and conversion tools.
- Salesforce Data Cloud (Data 360)
- Experience in HR technology platforms (like Workday, SAP, etc.)
- Strong experience with ETL tools
- Proven track record of data migration
- Strong understanding of data mapping, data quality, and validation methodologies.
- Successful implementations in prior years of experience
Data Engineer Jobs by Experience Level
Top Cities Hiring Data Engineers
Explore data engineer openings in the cities hiring most right now.
See All 3,797+ Data Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
Find Data Engineer JobsData Engineer Job Market
Who's Hiring
- Amazon178
- JPMorganChase99
- Syms Strategic Group, LLC (SSG)72
- Google68
- Booz Allen Hamilton53
Top Industries Hiring
- Technology & Software144
- Electronics & Hardware15
- Consulting & Professional Services15
- Education11
- Science & Research11
What Employers Look For
The qualifications that appear most often in data engineer jobs.
- Proficiency in SQL and at least one scripting language such as Python or Scala
- Hands-on experience with cloud data platforms like AWS, GCP, or Azure
- Experience building and maintaining ETL or ELT pipelines in production
- Familiarity with orchestration tools such as Apache Airflow or Prefect
- Bachelor's degree in computer science, engineering, or a related technical field
- Experience with columnar or distributed data warehouses such as Snowflake, BigQuery, or Redshift
Tips for Your Data Engineer Job Search
Tailor your resume to the stack
Data engineer job descriptions vary significantly by stack. Rewrite your resume bullets to mirror the tools listed in each posting, whether that's Spark, dbt, Airflow, or Snowflake, so your experience reads as a direct match rather than a general fit.
Show pipeline work, not just queries
Hiring managers want to see that you build and maintain data infrastructure, not just consume it. Highlight projects where you designed ingestion workflows, handled schema evolution, or reduced pipeline latency, with specific outcomes wherever you can name them.
Apply early to roles that fit
Migrate Mate lists data 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 data maturity stage
A startup building its first warehouse and a Fortune 500 modernizing legacy ETL need very different skills. Read job descriptions for clues about data maturity, such as greenfield builds versus migrations, and lead your cover note with experience that matches that stage.
Prepare a systems design answer for the interview
Most data engineer interviews include at least one open-ended design question, like architecting a batch pipeline or a real-time event stream. Practice walking through trade-offs out loud, covering ingestion, transformation, storage, and orchestration choices, not just the final architecture.
Negotiate with competing offer context
If you hold more than one offer, share that fact during negotiation. Compensation for data engineers varies by specialization and cloud platform, so a competing offer in a similar stack gives you grounded leverage without needing to justify a number from scratch.
Data Engineer Jobs: Frequently Asked Questions
Which companies are hiring the most data engineers?
The companies hiring the most data engineers right now include Amazon, JPMorganChase, and Syms Strategic Group, LLC (SSG), with the largest share of openings in California, Texas, and Virginia, based on current listings on Migrate Mate as of September 2026. Demand is concentrated in technology, financial services, and healthcare, where data infrastructure work tends to be ongoing rather than project-based.
How many data engineer jobs are remote?
About 73% of data engineer openings are fully remote or hybrid as of September 2026, making it one of the more remote-accessible engineering roles in tech. Pipeline and platform engineering work is especially likely to be remote, while roles with heavy cross-functional collaboration or on-premise data infrastructure tend to require more in-office time.
How do you become a data engineer?
Start by building a solid foundation in SQL and Python, then learn how data moves through a pipeline by working with an orchestration tool like Airflow and a cloud warehouse like Snowflake or BigQuery. Build two or three portfolio projects that show end-to-end pipeline work, document them on GitHub, and apply to junior or associate data engineer roles. Many people enter the field from adjacent roles in analytics or software engineering, so prior technical experience accelerates the transition.
Can you get a data engineer job with little experience?
Yes, entry-level data engineer roles exist, and employers often hire candidates who demonstrate practical pipeline skills even without a long employment history. Build portfolio projects that show you can ingest, transform, and serve data reliably, use cloud-free tools like DuckDB or SQLite to keep costs down, and target companies that are still building out their data infrastructure, since those teams are more likely to invest in developing junior engineers.
What does the data engineer interview process look like?
Most data engineer interviews include a recruiter screen, a technical phone interview covering SQL and Python fundamentals, and at least one systems design round where you walk through how you would build or scale a pipeline. Later rounds often involve a take-home or live coding exercise focused on data transformation or pipeline logic. Final rounds typically include a team fit conversation and, at some companies, a review of your past architecture decisions.
Where can I find and apply to data engineer jobs?
You can find and apply to data engineer jobs on Migrate Mate, which lists current openings from employers across the United States. Search the listings to find roles that match your stack and experience level, then apply directly to each one that fits.
See All 3,797+ Data Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
Find Data Engineer Jobs