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 Staffing & Recruiting, with 45% of openings remote or hybrid, and employers like TikTok USDS Joint Venture, Brex, and Nuro actively hiring at this level now.
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Showing 5 of 28+ Mid Level Data Platform Engineer jobs
INTRODUCTION
One of Chicago's biggest names in trading wants you to own and shape the data platform that powers the whole firm. This is a Staff Engineer role at a proprietary trading firm that has been around for roughly 30 years and helped define what this industry looks like today.
ROLE AND RESPONSIBILITIES
In this role, you are designing, building, and operating large-scale distributed data systems across the organization. You are building managed platform services that other engineering teams rely on, owning everything from provisioning and upgrades through to reliability and ongoing support. You are working directly with those teams, pulling their feedback into your roadmap decisions and making sure the platform evolves in a way that actually serves them.
BASIC QUALIFICATIONS
- Deep experience with distributed systems trade-offs, batch and stream processing at scale, and technologies like Flink, Spark, ClickHouse, Kafka, and Iceberg
- Strong in Java and Python
- Comfortable with data modeling and schema governance
- Familiar with cloud-native infrastructure including Kubernetes
- Ability to communicate a technical vision clearly and lead through influence across a globally distributed organization
This is a role where your judgment shapes the platform, not just the code. Ready to build something that matters at a firm that has been getting it right for three decades? Get in touch. No up-to-date CV required.
INTRODUCTION
One of Chicago's biggest names in trading wants you to own and shape the data platform that powers the whole firm. This is a Staff Engineer role at a proprietary trading firm that has been around for roughly 30 years and helped define what this industry looks like today.
ROLE AND RESPONSIBILITIES
In this role, you are designing, building, and operating large-scale distributed data systems across the organization. You are building managed platform services that other engineering teams rely on, owning everything from provisioning and upgrades through to reliability and ongoing support. You are working directly with those teams, pulling their feedback into your roadmap decisions and making sure the platform evolves in a way that actually serves them.
BASIC QUALIFICATIONS
- Deep experience with distributed systems trade-offs, batch and stream processing at scale, and technologies like Flink, Spark, ClickHouse, Kafka, and Iceberg
- Strong in Java and Python
- Comfortable with data modeling and schema governance
- Familiar with cloud-native infrastructure including Kubernetes
- Ability to communicate a technical vision clearly and lead through influence across a globally distributed organization
This is a role where your judgment shapes the platform, not just the code. Ready to build something that matters at a firm that has been getting it right for three decades? Get in touch. No up-to-date CV required.
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Find JobsMid Level Data Platform Engineer Job Market
Who's Hiring
Top Industries Hiring
- Technology & Software10
- Banking & Financial Services5
- Staffing & Recruiting2
- Electronics & Hardware2
- Consulting & Professional Services2
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, Brex, and Nuro, based on current listings on Migrate Mate as of November 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 45% of mid level data platform engineer openings are remote or hybrid as of November 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 Staffing & Recruiting, based on current listings on Migrate Mate as of November 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.