Pipelines, warehouses, and the plumbing that makes analytics possible.
Data engineer resume example with ETL pipeline bullets, warehouse design achievements, and the Spark/Kafka/dbt keywords ATS systems scan for. Free on LumiCV.
Built event-streaming pipeline (Kafka → Flink → Snowflake) replacing overnight batch jobs - reduced data freshness from T+24h to T+3 min for 60+ downstream dashboards.
Designed star-schema data model in BigQuery for 2TB marketing dataset; optimised partitioning and clustering cut average query cost by 70% ($12K/month savings).
Implemented data quality framework (Great Expectations + Airflow alerts) catching schema drift and null violations 48 hours before they reached production dashboards.
Each bullet: strong verb → specific action → quantified result. Copy the structure, not the words.
Built event-streaming pipeline (Kafka → Flink → Snowflake) replacing overnight batch jobs - reduced data freshness from T+24h to T+3 min for 60+ downstream dashboards.
Designed star-schema data model in BigQuery for 2TB marketing dataset; optimised partitioning and clustering cut average query cost by 70% ($12K/month savings).
Implemented data quality framework (Great Expectations + Airflow alerts) catching schema drift and null violations 48 hours before they reached production dashboards.
How LumiCV helps: Paste any job description and our AI rewrites your bullets to match the role's exact keywords. Every template is ATS-parseable out of the box.
These terms appear most frequently in Data Engineer job descriptions. Missing them means your resume won't surface.
Data engineering resumes must show you can build the infrastructure that lets data scientists and analysts do their work - reliably, at scale, and without constant babysitting. Pipeline uptime, data freshness SLAs, and warehouse query performance are the metrics that matter.
The best data engineer resumes emphasise architecture decisions: why you chose Kafka over a polling approach, why you partitioned the table that way, how you handled schema evolution. These choices show senior judgment, not just implementation ability.
ATS keywords: Python, Spark, Kafka, Airflow, dbt, SQL, BigQuery/Snowflake/Redshift (pick the relevant one), AWS/GCP, Docker, and Kubernetes. 'Data modelling', 'data quality', and 'streaming' round out a strong keyword profile.
A strong Data Engineer resume should include: a concise professional summary, quantified experience bullets showing impact, a skills section with relevant keywords, and clean ATS-parseable formatting. See the example bullets above for the level of specificity hiring managers expect.
Use a single-column or ATS-safe two-column template, include role-specific keywords naturally in your bullets, avoid tables and text boxes, and export as a real-text PDF (not an image). LumiCV's templates are parse-tested: each is rendered to PDF and verified with a machine parser to recover every field in the correct reading order.
Key ATS keywords for a Data Engineer resume include: Python, Spark, Kafka, Airflow, dbt, SQL, Snowflake, BigQuery, Redshift, AWS, streaming, data modelling. Use these naturally throughout your experience bullets and skills section - keyword stuffing in a hidden section will not work on modern ATS systems.
For most Data Engineer roles, one page is ideal for under 7 years of experience. Two pages are appropriate for senior roles with 10+ years. Beyond two pages is rarely justified. Cut anything that doesn't directly support why you're qualified for the role you're targeting.
Yes. LumiCV's free plan includes all 11 country formats and 3 ATS templates and lets you export your resume as a PDF. Pro (from $8.25/month billed yearly) adds 14 more templates and unlimited AI tailoring - paste a job description and LumiCV rewrites your bullets to match the role's keywords.
Data engineering cover letters that speak throughput and reliability.
See the Data Engineer cover letter exampleSimilar roles worth comparing.
Databases, APIs, and the infra that holds everything together.
Backend developer resume example with strong server-side bullets, API design patterns, and the ATS keywords engineers use to get past screening. Free in LumiCV.
Turn raw data into decisions that leadership acts on.
Data analyst resume example with SQL, dashboard, and insight bullets. Shows hiring managers you can go from messy dataset to clear recommendation. Free on LumiCV.
Models, experiments, and insights that move the business forward.
Data scientist resume example with ML model results, A/B test wins, and the Python/SQL keywords ATS systems look for. Tailor it to any job with AI on LumiCV.
14 templates free, including every country format. AI tailoring from $8.25/mo. Cancel anytime.
Start building free