Compare data engineer roles before applying
Data engineering roles can center on ingestion, transformation, warehouses, streaming, or the platforms that serve analysts and applications. Read the data volumes, reliability expectations, and systems you would own rather than choosing from the title alone. Check the required stack, how changes are tested, and who handles failures or on-call coverage. Prepare an example that explains a pipeline, a data-quality issue, the tradeoffs you made, and how you monitored the result. Confirm the hiring location, access restrictions, working hours, and whether the job involves platform engineering or analytics modeling.
- Public preview
- 5 recent roles
- Posted salary
- 1 of 5 disclose pay
- Source
- Company career pages
- Full search
- Available after sign in
Fresh data engineer openings
Browse recent roles below. Sign in to search by title, hiring location, experience level and work type.
data engineering roles on company sites
Recent examples from company career pages.
Search the complete title family
Employers describe this work with overlapping labels. Search Data Engineer, Analytics Engineer, Data Platform Engineer, ETL Developer, Data Infrastructure Engineer, and Data Warehouse Engineer to find relevant roles without broadening into unrelated work.
When you need to narrow the role family, add the stack or workload you know, such as Spark, Kafka, dbt, Snowflake, Databricks, Airflow, or cloud data platforms.
data engineering job search questions
Which titles should I search besides Data Engineer?
Search Analytics Engineer, Data Platform Engineer, ETL Developer, Data Infrastructure Engineer, Data Warehouse Engineer, and Big Data Engineer. Compare the stack and ownership because these titles can sit in analytics, platform, or software teams.
What is the difference between a data engineer and a data analyst?
Data engineers build and operate the systems that collect, transform, store, and serve data. Data analysts use data to answer business questions and support decisions. Analytics engineering often sits between the two.
Can data engineers work fully remotely?
Many can because the systems and collaboration tools are online. Employers may still restrict hiring by country, security requirements, on-call coverage, customer contracts, or time-zone overlap.
How fresh are the data-engineer jobs shown here?
Use the freshness label as a starting point, then open the employer source after signing in to confirm the posting is still active. “First seen” means when Career Hound discovered the role, not necessarily when the employer posted it.