AWS Data Engineer Jobs

US data engineer openings whose parsed job description mentions AWS as part of the required stack. Around 1,300 active listings (about half the full DE catalog), reflecting AWS's dominant share of US data-platform infrastructure. Listings mentioning Glue, EMR, Redshift, Kinesis, Lambda, S3, or Athena often filter into this set through the AWS umbrella tag.

AWS Data Engineer Jobs

US data engineer listings that name AWS in the posting, scored against your profile with salary and layoff signals.

Frequently asked questions

How many AWS data engineer jobs are listed at once?

Around 1,300 active listings name AWS explicitly in the parsed JD. This is about half of the full US DE catalog. Some listings mention an AWS service (Redshift, Glue, EMR) without naming AWS; those land in the service-specific tag instead.

Which AWS services do these data engineer job postings mention most?

Redshift (about 360 listings) and Glue (about 270) lead. S3 (350) and Lambda (195) are common as supporting tags. EMR (about 170), Kinesis (about 120), and Athena round out the AWS-native data services in this catalog. DynamoDB shows up in roughly 85 listings, often as a backing OLTP store rather than a primary DE tool.

Do I need AWS certifications for these AWS data engineer jobs?

Most postings do not require certifications. Some say 'preferred' for the AWS Certified Data Engineer (DEA-C01) or the deprecated Big Data Specialty. Certs help pass keyword screens at companies with ATS-driven resume filtering, but a portfolio project that builds a real AWS-based pipeline (S3 to Glue to Redshift, orchestrated by Step Functions or Airflow) outweighs any cert for hands-on interviews.

What's the typical AWS stack for the data engineer jobs in this catalog?

The most common modern stack is S3 plus Glue or EMR for processing, Redshift or Snowflake-on-AWS for warehousing, MWAA (managed Airflow) or Step Functions for orchestration, and CloudWatch plus DataDog for monitoring. Legacy stacks still appear: Hadoop on EMR, Hive metastore, and Sqoop-based batch ingestion.

What AWS-specific questions show up in these data engineer interviews?

Three patterns recur. First, Glue vs EMR vs Lambda tradeoffs (when to use each). Second, Redshift sort and dist keys (which to pick for a given workload). Third, S3 partitioning and Glue catalog interaction (how to avoid small-file problems and metadata explosion). All three test conceptual understanding rather than syntax.

Are most AWS data engineer roles fully remote?

No. The AWS-tagged subset of the catalog matches the overall remote rate (about 4 percent explicitly remote-flagged). AWS-using companies are not disproportionately remote-friendly. Use the Remote filter on the left rail to narrow to the explicit set.

Canonical URL: https://datadriven.io/aws-data-engineer-jobs