Aws Data Engineer Jobs
Aws Data Engineer jobs are open across technology, finance, healthcare, and retail, from associate to staff and principal engineer levels, with specializations in pipeline architecture, cloud-native ETL, and lakehouse design. Find a role that fits from the openings below and apply directly.
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Showing 5 of 151+ Aws Data Engineer jobs
Hiring: Data Architect – AWS (Pharma Domain)
San Francisco, CA (Onsite) | Full-time *w2*
We're looking for an experienced Data Architect with mandatory Pharma/Life Sciences expertise to design and deliver scalable AWS-based data platforms supporting clinical, R&D, and commercial data initiatives.
Key Requirements:
15+ years in Data Architecture (4+ years on AWS)
Strong AWS expertise (S3, Redshift, Glue, EMR, Lambda)
Pharma/Life Sciences experience required
Expertise in ETL/ELT, Data Modeling & Data Warehousing
Knowledge of CDISC, SDTM, ADaM, HIPAA & GxP
Strong stakeholder management and communication skills
Pay: $124,344.78 - $125,000.00 per year
Work Location: On the road
Hiring: Data Architect – AWS (Pharma Domain)
San Francisco, CA (Onsite) | Full-time *w2*
We're looking for an experienced Data Architect with mandatory Pharma/Life Sciences expertise to design and deliver scalable AWS-based data platforms supporting clinical, R&D, and commercial data initiatives.
Key Requirements:
15+ years in Data Architecture (4+ years on AWS)
Strong AWS expertise (S3, Redshift, Glue, EMR, Lambda)
Pharma/Life Sciences experience required
Expertise in ETL/ELT, Data Modeling & Data Warehousing
Knowledge of CDISC, SDTM, ADaM, HIPAA & GxP
Strong stakeholder management and communication skills
Pay: $124,344.78 - $125,000.00 per year
Work Location: On the road
Aws Data Engineer Jobs by Experience Level
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Find Aws Data Engineer JobsAws Data Engineer Job Market
Who's Hiring
- Amazon37
- Amazon Web Services32
- Capital One10
- JPMorganChase6
- Travelers5
Top Industries Hiring
- Technology & Software27
- E-Commerce & Online Marketplaces17
- Retail16
- Distribution & Wholesale11
- Consulting & Professional Services3
What Employers Look For
The qualifications that appear most often in aws data engineer jobs.
- 3 or more years of hands-on experience building and maintaining AWS data pipelines
- Proficiency in Python or Scala for data transformation and orchestration workflows
- Experience with AWS services including Glue, S3, Redshift, EMR, and Lambda
- Familiarity with SQL and query optimization on large distributed datasets
- AWS Certified Data Engineer or AWS Certified Solutions Architect certification preferred
- Bachelor's degree in computer science, data engineering, or a related technical field
Tips for Your Aws Data Engineer Job Search
Tailor your resume to pipeline patterns
Recruiters scan for specific AWS service combinations, so call out whether you build on Glue, EMR, Redshift, or Kinesis rather than listing cloud skills generically. A pipeline section showing input source, transform logic, and output target reads faster than a bullet list of tool names.
Apply early to roles that fit
Migrate Mate lists aws data engineer openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Filter openings by stack depth required
Job postings that mention Terraform or CDK alongside Glue signal an infra-aware role, while postings focused on dbt and Redshift lean toward analytics engineering. Matching your stack depth to the posting prevents wasted interviews where expectations misalign early.
Quantify data volume in every project entry
Hiring managers at data-heavy companies compare candidates on scale handled, so replace vague descriptions with concrete figures like daily row counts, pipeline latency targets, or storage costs reduced. Avoid invented numbers by pulling actuals from CloudWatch logs or cost dashboards before you write.
Prep a live coding demo for the design round
Many aws data engineer panels include a whiteboard or shared-screen session where you sketch an ingestion architecture under constraints. Practice narrating trade-offs out loud, especially around partitioning strategy, failure handling, and cost versus latency, because interviewers evaluate reasoning as much as the final design.
Negotiate around total compute cost ownership
Offers sometimes include on-call rotations for production pipelines, which affects real compensation. Before accepting, ask how pipeline incidents are handled, whether there is a rotation schedule, and whether on-call is compensated separately so you can compare offers accurately.
Aws Data Engineer Jobs: Frequently Asked Questions
Which companies are hiring the most aws data engineers?
The companies hiring the most aws data engineers right now include Amazon, Amazon Web Services, and Capital One, with the largest share of openings in Washington, Texas, and Virginia, based on current listings on Migrate Mate as of August 2026. Demand is strongest at companies undergoing cloud migrations or building out real-time analytics infrastructure.
How many aws data engineer jobs are remote?
About 63% of aws data engineer openings are fully remote or hybrid as of August 2026, reflecting how portable cloud-native work tends to be. Roles focused on Redshift analytics engineering and dbt modeling show the highest remote share, while positions requiring hands-on infrastructure provisioning or on-prem integration are more likely to require on-site presence.
How do you become a aws data engineer?
Start by building a foundation in SQL, Python, and relational data modeling, then move into cloud-native tooling by completing AWS training and earning a foundational certification. Build portfolio projects that demonstrate an end-to-end pipeline using S3, Glue, and Redshift. From there, apply to entry-level data or analytics engineering roles to gain production experience before targeting mid-level aws data engineer positions.
Can you get an aws data engineer job with little experience?
Yes, but you need to offset limited work history with demonstrable project work. Build a public GitHub portfolio that shows a complete ingestion and transformation pipeline on AWS, even using free-tier resources. Target smaller companies or startups where generalist data engineers are valued over specialists, and highlight any adjacent experience in data analysis, backend development, or database administration that transfers directly.
What does the aws data engineer interview process look like?
The process typically starts with a recruiter screen focused on your AWS service experience and pipeline history, followed by a technical phone screen testing SQL and Python fundamentals. A system design round then asks you to architect a data pipeline under specific constraints. Final rounds often include a take-home or live coding exercise and a panel with engineering and analytics stakeholders who probe past project decisions and trade-offs.
Where can I find and apply to aws data engineer jobs?
You can find and apply to aws data engineer jobs on Migrate Mate, which lists current openings from 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 151+ Aws Data Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
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