Data Engineer resume example & skills
Everything to put on a Data Engineer resume in 2026 — the right skills and ATS keywords, a professional summary example, and work-experience bullet points you can adapt. Then build it in minutes with OnJob's free AI resume builder and score it against any job with the free ATS checker.
Updated 2026-06-18 · Skills and keywords based on real Data Engineer roles on OnJob.io.
Key takeaways
- A strong Data Engineer resume leads with the skills employers scan for: SQL, Python, Apache Spark, Airflow, ETL/ELT.
- Mirror the exact job-title and skill keywords from the posting (e.g. Data Engineer, ETL Developer, Big Data Engineer) so it passes ATS filters.
- Keep it to one page if you have under ~7 years of experience, and back every bullet with a number; then check your match with OnJob's free ATS checker.
Skills to put on a Data Engineer resume
These are the core Data Engineer skills recruiters and ATS scanners look for. Put the ones you have in a dedicated skills section, and prove the rest inside your experience bullets.
ATS keywords for Data Engineer
Mirror these exact terms from the job description to pass Applicant Tracking Systems: Data Engineer, ETL Developer, Big Data Engineer, SQL, Python, Apache Spark, Airflow, ETL/ELT, Data warehousing, Cloud (AWS/GCP/Azure), Data modeling, Kafka. Then paste your resume into the free ATS checker to see your match score.
Data Engineer professional summary example
A strong summary is 2–3 sentences: your title and experience, your best skills, and one quantified win. Customise the bracketed parts:
[Results-driven] Data Engineer with [X years] of experience in SQL, Python, Apache Spark. Proven ability to design, build and maintain etl/elt pipelines that ingest and transform data and model and manage data warehouses and lakes for analytical workloads. Looking to bring [your strongest achievement, with a number] to [Target Company] as a Data Engineer.
Data Engineer work-experience bullet points
Example bullets for a Data Engineer — start with an action verb and add your own numbers (%, ₹, time saved, scale) to make each one land:
- Design, build and maintain ETL/ELT pipelines that ingest and transform data — [add a metric, e.g. "for 5+ projects" or "cutting time by 30%"]
- Model and manage data warehouses and lakes for analytical workloads — [add a metric, e.g. "for 5+ projects" or "cutting time by 30%"]
- Optimise large-scale data processing with Spark or distributed systems — [add a metric, e.g. "for 5+ projects" or "cutting time by 30%"]
- Ensure data quality, lineage and governance across the platform — [add a metric, e.g. "for 5+ projects" or "cutting time by 30%"]
- Orchestrate workflows with tools like Airflow and monitor pipeline health — [add a metric, e.g. "for 5+ projects" or "cutting time by 30%"]
- Integrate data from APIs, databases, streams and third-party sources — [add a metric, e.g. "for 5+ projects" or "cutting time by 30%"]
What a Data Engineer resume needs in education
- Strong SQL and proficiency in Python or Scala
- Experience with data warehouses (Snowflake/BigQuery/Redshift) and ETL tools
- Familiarity with big-data frameworks such as Spark and orchestration with Airflow
- Understanding of data modelling, partitioning and pipeline reliability
- Working knowledge of a cloud platform (AWS, GCP or Azure)
Build your Data Engineer resume in minutes
Drop in these skills and bullets, let AI polish the wording, and check your ATS score against any Data Engineer job — free to start.
Data Engineer resume — FAQs
What skills should I put on a Data Engineer resume?
The most relevant Data Engineer resume skills are: SQL, Python, Apache Spark, Airflow, ETL/ELT, Data warehousing, Cloud (AWS/GCP/Azure), Data modeling, Kafka. List the ones you genuinely have in a dedicated "Skills" section and weave the rest into your experience bullets so they pass ATS keyword matching.
What are the best ATS keywords for a Data Engineer resume?
Strong ATS keywords for a Data Engineer include the job title itself (Data Engineer, ETL Developer, Big Data Engineer) plus core skills like SQL, Python, Apache Spark, Airflow, ETL/ELT. Mirror the exact terms from the job description you are applying to, and check your match with OnJob's free ATS resume checker.
How do I write a professional summary for a Data Engineer?
Open with your title and years of experience, name your 2–3 strongest Data Engineer skills, then add one quantified achievement. Keep it to 2–3 sentences. Example: "[Results-driven] Data Engineer with [X years] of experience in SQL, Python, Apache Spark. Proven ability to design, build and maintain etl/elt pipelines that ingest and transform data and model and manage data warehouses and lakes for analytical workloads. Looking to bring [your strongest achievement, with a number] to [Target Company] as a Data Engineer."
What should a Data Engineer put in the work-experience section?
Use 3–6 bullet points per role, each starting with an action verb and ending with a measurable result. For a Data Engineer, cover responsibilities like design, build and maintain etl/elt pipelines that ingest and transform data; model and manage data warehouses and lakes for analytical workloads; optimise large-scale data processing with spark or distributed systems — and add numbers wherever you can.
How long should a Data Engineer resume be?
One page if you have under ~7 years of experience (most freshers and mid-level Data Engineers), and up to two pages for senior Data Engineers with a longer track record. Recruiters skim — keep it tight and lead with impact.
Everything about Data Engineer on OnJob
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