Mid Level Data Engineer Jobs
Mid level data engineer jobs go to engineers ready to own pipelines end to end, drive architectural decisions with limited oversight, and bring junior teammates up to speed. Roles are split across on-site, remote, and hybrid settings in Technology & Software, Consulting & Professional Services, and Electronics & Hardware, with employers like Amazon, Unisys, and Apple hiring at this level now.
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JOB SUMMARY
We are looking for a Data Platform Support Engineer with strong experience in Apache Spark, Python, SQL, Azure SQL, and ETL. The engineer will troubleshoot complex data-platform issues, support customers, monitor platform performance, and collaborate with cross-functional teams to resolve technical problems.
Responsibilities
- 3+ years of technical experience in Big Data / Data Platform technologies.
- Troubleshoot and resolve Spark, Azure SQL, Python, and ETL issues.
- Provide customer support via email, phone, and chat.
- Monitor Spark clusters, logs, performance, and data pipelines.
- Troubleshoot Databricks, Spark Streaming, networking, and connectivity issues.
- Analyze issues, identify root causes, and provide timely resolutions.
- Collaborate with cross-functional teams to resolve complex technical issues.
- Communicate status, next steps, and resolutions clearly to customers.
- Provide 24×7 rotational support, including weekends and holidays.
JOB SUMMARY
We are looking for a Data Platform Support Engineer with strong experience in Apache Spark, Python, SQL, Azure SQL, and ETL. The engineer will troubleshoot complex data-platform issues, support customers, monitor platform performance, and collaborate with cross-functional teams to resolve technical problems.
Responsibilities
- 3+ years of technical experience in Big Data / Data Platform technologies.
- Troubleshoot and resolve Spark, Azure SQL, Python, and ETL issues.
- Provide customer support via email, phone, and chat.
- Monitor Spark clusters, logs, performance, and data pipelines.
- Troubleshoot Databricks, Spark Streaming, networking, and connectivity issues.
- Analyze issues, identify root causes, and provide timely resolutions.
- Collaborate with cross-functional teams to resolve complex technical issues.
- Communicate status, next steps, and resolutions clearly to customers.
- Provide 24×7 rotational support, including weekends and holidays.
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Find Mid Level Data Engineer JobsMid Level Data Engineer Job Market
Who's Hiring
- Amazon23
- Unisys10
- Apple9
- Jobot7
- Capgemini7
Top Industries Hiring
- Technology & Software94
- Consulting & Professional Services24
- Electronics & Hardware21
- Staffing & Recruiting14
- Investment & Asset Management14
Mid Level Data Engineer Jobs: Frequently Asked Questions
How do I get a mid level data engineer job?
Lead with ownership, not just participation. Highlight projects where you designed or rebuilt a pipeline, resolved production data quality issues, or introduced tooling that your team adopted. Interviewers at this level want evidence you can operate independently, so frame your experience around decisions you made and outcomes you delivered, not tasks you completed under close direction.
Which companies hire mid level data engineers?
Companies hiring mid level data engineers right now include Amazon, Unisys, and Apple, based on current listings on Migrate Mate as of September 2026. Hiring at this level covers large enterprises scaling their data platforms, mid-size technology companies building out their first dedicated data teams, and data-intensive firms in finance, healthcare, and retail.
Are there remote mid level data engineer jobs?
Yes, remote and hybrid options are widely available at this level. About 32% of mid level data engineer openings are remote or hybrid as of September 2026, reflecting how well data engineering work translates to distributed teams. Searching by location preference on Migrate Mate lets you filter current openings to match your preferred work setting.
How do I move up to a mid level data engineer role?
The shift from entry level to mid level comes from accumulating real ownership over time. Building depth in a core stack, taking the lead on a project rather than a single ticket, and demonstrating that your pipelines hold up in production are the markers employers look for. Measurable impact, such as improved reliability or reduced processing time, signals readiness more clearly than years alone.
Which industries hire the most mid level data engineers?
Mid Level data engineer roles concentrate in Technology & Software, Consulting & Professional Services, and Electronics & Hardware, based on current listings on Migrate Mate as of September 2026. These sectors tend to drive hiring at this level because they operate at the data volumes and complexity that require engineers who can own pipeline architecture rather than simply execute on pre-defined tasks.