Mid Level Data Platform Engineer Jobs
Mid level data platform engineer jobs go to engineers ready to own pipeline architecture end to end, make infrastructure decisions with limited oversight, and guide junior teammates on data quality and tooling standards. Hiring runs across Technology & Software, Banking & Financial Services, and Marketing & Advertising, with 48% of openings remote or hybrid, and employers like TikTok USDS Joint Venture, Tatari, and Brex actively hiring at this level now.
Find JobsOverview
Showing 5 of 39+ Mid Level Data Platform Engineer jobs
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.
See All 39 Mid Level Data Platform Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
Find JobsMid Level Data Platform Engineer Job Market
Who's Hiring
Top Industries Hiring
- Technology & Software16
- Banking & Financial Services6
- Marketing & Advertising3
- Science & Research2
- Retail1
Mid Level Data Platform Engineer Jobs: Frequently Asked Questions
How do I get a mid level data platform engineer job?
Lead your applications with concrete ownership: pipelines you built from scratch, reliability improvements you drove, or data quality frameworks you introduced. Hiring managers at this level want to see that you made decisions independently, not just executed tasks. Tailor your resume to show the scope of each project, the tools you chose, and the measurable outcome you delivered.
Which companies hire mid level data platform engineers?
Companies hiring mid level data platform engineers right now include TikTok USDS Joint Venture, Tatari, and Brex, based on current listings on Migrate Mate as of September 2026. Hiring at this level comes from a wide range of employers, including high-growth tech companies, established enterprises modernizing their data infrastructure, and data-intensive businesses in finance, healthcare, and retail.
Are there remote mid level data platform engineer jobs?
Yes, and the share is significant. About 48% of mid level data platform engineer openings are remote or hybrid as of September 2026, reflecting how broadly distributed data platform teams have become. Search listings on Migrate Mate and filter by work setting to find openings that match your preference.
How do I move up to a mid level data platform engineer role?
The path from entry level to mid level is built on demonstrated ownership, not just time served. Focus on taking end-to-end responsibility for at least one production pipeline, deepening expertise in a core area like orchestration, streaming, or data modeling, and showing measurable impact such as reduced latency or improved data reliability. Employers look for engineers who can operate with less day-to-day guidance.
Which industries hire the most mid level data platform engineers?
Mid Level data platform engineer roles concentrate in Technology & Software, Banking & Financial Services, and Marketing & Advertising, based on current listings on Migrate Mate as of September 2026. These sectors share a dependence on scalable, reliable data infrastructure to power analytics, machine learning, and operational decision-making, which drives consistent demand for engineers at the mid level who can build and maintain those systems.