Staff Data Platform Engineer

This is a fully remote position, open to applicants in Illinois.

📋 Description

• Take charge of the technical design, architecture, and implementation of the Data Engine's ingestion, transformation, and orchestration infrastructure.

• Enhance the integration capacity of the Data Engine while minimizing manual engineering and operational efforts.

• Create adaptable data models, transformation frameworks, and configuration-driven abstractions for diverse client and source data.

• Develop developer tools and reusable platform capabilities for the creation, deployment, monitoring, and maintenance of data integrations.

• Design scalable orchestration and execution patterns that support thousands of independently managed data pipelines and workloads.

• Boost platform reliability, observability, and operational efficiency through automated validation, recovery, monitoring, and infrastructure optimization.

• Collaborate with Product, Architecture, Software Engineering, and Operations teams to ensure platform capabilities align with product delivery and client rollout requirements.

• Provide scalable, configuration-driven integration frameworks, reusable data models, transformation libraries, and orchestration patterns.

• Set platform standards, documentation, reference implementations, and adoption guidance.

⛳️ Requirements

• A minimum of 8 years of experience in data platforms, data engineering, or software engineering with production-grade data systems.

• In-depth understanding of data modeling, SQL, transformation frameworks, orchestration, and data quality.

• Strong Python engineering skills along with experience in creating extensible frameworks, reusable abstractions, and developer tools.

• Proven experience in designing and scaling data platforms, including orchestration, pipeline execution, and infrastructure for numerous independently managed workloads.

• Demonstrated ability in designing configuration-driven systems that can generalize complex processing requirements.

• Experience in supporting production applications and operational workflows beyond mere analytics or reporting workloads, with a focus on reliability, availability, and observability.

• Proven capability to independently establish technical direction and lead platform architecture and integrated delivery across Product and Engineering teams.

• Demonstrated knowledge of approved agentic coding practices.

• Preferred hands-on experience with Dagster or similar modern data orchestration platforms.

• Experience with healthcare or benefits data is a plus.

• Preferred experience in optimizing cloud infrastructure, platform costs, and operational support models, especially within AWS.

• Must possess work authorization in the United States that does not presently or in the future require visa sponsorship.

• Successful completion of a background check is mandatory if an offer is extended.

🏝️ Benefits

• Health, dental, and vision coverages starting from Day One.

• Wellbeing programs.

• Retirement plans with contribution matching.

• Generous time off.

• Parental leave.

• Continuing education opportunities.

• Career advancement opportunities.

• Flexible working arrangements whenever possible.

• Occasional travel to physical office locations may be required.

• Comprehensive benefits package.

• Competitive total rewards package.

• Ongoing education and training.