Senior Data Engineer

Who We Are:

Dedicated to making a difference in law enforcement agencies across the U.S. our mission is to transform policing by elevating officer performance with a preventative-based early intervention system. Driven by data science and powered by machine learning our offering analyzes officer performance data in order to identify potentially problematic partnership with the University of Chicago weve developed the worlds largest multi-jurisdictional officer performance database and the only research-driven evidence-based early intervention system available in policing today.

Were also the only provider of a fully integrated cloud-based Software-as-a-Service (SaaS) platform that simplifies essential policing workflows. This platform is designed to be a single-source solution for all operational needs driving extensive efficiency gains and providing best-in-class advanced analytics and insights.

Benchmark Analytics provides a comprehensive all-in-one solution that is advancing police force management through state-of-the-art technology and market-leading data and analytics.

The Role:

This is a senior individual contributor role for a deeply experienced Data Engineer who can independently lead complex platform-level work from discovery through production operation. The successful candidate will operate with limited day-to-day technical oversight translate ambiguous objectives into executable technical plans own consequential architecture and design decisions and build reusable capabilities that increase the effectiveness of the broader data engineering team. This role will be a critical technical contributor to Benchmarks transformation from legacy ETL systems to a modern cloud-native architecture built on Python Kubernetes AWS and AI-assisted and agentic workflows.

Responsibilities:

• Owning the technical design implementation rollout and operational support of major components of a greenfield data platform leveraging Python Kubernetes and AWS
• Leading complex platform initiatives from discovery and architecture through incremental delivery and production adoption
• Independently translating ambiguous business and technical objectives into sound designs implementation plans and production-ready systems
• Designing developing and maintaining scalable fault-tolerant ETL/ELT pipelines across structured and unstructured data
• Building reusable platform capabilities for configuration execution logging metrics error handling testing deployment and operational support
• Designing data workflows for idempotency replayability backfills schema evolution partial-failure recovery and safe production rollout
• Assessing legacy data processes and leading incremental modernization strategies that preserve production continuity while reducing operational risk
• Establishing engineering patterns and standards leading technical design reviews and challenging unnecessary complexity or weak architectural assumptions
• Diagnosing complex production performance and data-quality issues and driving durable corrective actions
• Improving platform scalability reliability observability maintainability security and cost efficiency
• Collaborating with application engineering data science QA product analytics and client-facing teams to deliver clean reliable and production-ready data capabilities
• Evaluating and integrating AI-assisted or agentic workflows where they provide measurable improvements to data processing engineering productivity or system interaction
• Providing technical mentorship through architecture guidance code reviews reusable patterns documentation and direct engineering feedback
• Acting as a primary technical subject matter expert in internal cross-functional and client-facing discussions

Job Qualifications:

Required Skills:

• Bachelors degree in a STEM field or equivalent professional experience
• 8 years of professional experience building and operating production data systems
• Demonstrated independent ownership of major data systems platform components architectural decisions or complex modernization initiatives
• Advanced Python software-engineering experience including modular architecture type annotations automated testing packaging dependency management API design and reusable library or framework development
• Advanced SQL and data-modeling skills across operational and analytical workloads
• Experience architecting fault-tolerant ETL/ELT systems that support replay backfills schema evolution and failure recovery
• Strong experience designing and operating cloud-based production architectures with AWS preferred
• Production experience with Docker Kubernetes and orchestration frameworks such as Airflow or an equivalent
• Practical experience with CI/CD infrastructure as code automated testing and production observability
• Demonstrated ownership of a legacy modernization or platform migration effort including dependency analysis migration sequencing validation cutover and operational transition
• Significant experience diagnosing production incidents complex data failures and performance bottlenecks and implementing durable corrective actions
• Ability to evaluate and clearly communicate architectural tradeoffs involving scalability reliability maintainability security cost delivery speed and team capability
• Ability to independently convert incomplete or ambiguous requirements into pragmatic technical direction and executable delivery plans
• Demonstrated technical influence through design reviews engineering standards mentorship or shared platform development

Preferred Skills:

• Expert-level Python engineering for maintainable production systems not only standalone scripts or notebooks
• Expert-level SQL and strong relational and analytical data-modeling knowledge
• Experience handling large data volumes schema evolution data-quality enforcement and complex transformation workflows
• Experience with AWS services such as S3 Lambda SQS/SNS IAM and managed data-processing services
• Strong experience with Git Docker Kubernetes and automated software-delivery practices
• Experience designing reusable platform abstractions and determining when functionality belongs in a shared component versus an individual pipeline
• Strong troubleshooting skills across application code infrastructure orchestration databases and data behavior
• Ability to lead through technical credibility and influence without relying on formal authority
• Relevant technologies include SQL Python AWS PostgreSQL Spark/EMR Git Docker Kubernetes Airflow Django and DynamoDB

Preferred Qualifications:

• Experience owning major components of a greenfield data platform or internal developer platform
• Experience replacing a commercial or legacy ETL platform with code-first cloud-native tooling
• Experience developing shared Python libraries frameworks templates or platform abstractions used by other engineers
• Hands-on experience with Spark and AWS EMR for distributed data processing
• Experience working in regulated or security-sensitive environments including AWS GovCloud
• Experience implementing LLM- or agent-based workflows with structured outputs tool integration validation observability security boundaries and appropriate human review
• Experience serving as a technical subject matter expert in client-facing or cross-functional architecture discussions

What We Offer:

• A competitive salary and benefits package.
• Unlimited Paid Time Off.
• Ability to work in a fully remote environment (must be based in the U.S. and willing to work in Central Time Zone).
• Summer Half-Day Fridays.
• Freed Up Fridays during Spring Fall and Winter months to promote productivity and dedicated heads-down work time.
• Medical dental and vision plan offerings along with 401(k).
• Employer-paid Short-Term Disability Long-Term Disability and Life Insurance.
• Other Voluntary Benefits include additional Life Insurance Spouse Life Insurance and Accident Insurance.
• The satisfaction that comes with being part of a solution that has real impact in the world.
• A diverse workforce and inclusive environment that embraces unique contributions and experiences.
• An empowered culture that encourages creativity and professional growth.

Estimated Annual Salary Range:

$135k-$160k; based on role experience and location

Additional Information:

• Benchmark Analytics is an Equal Opportunity Employer. We value diversity of all kinds in our effort to create a stellar workforce of committed and passionate team members.
• Unfortunately we are not able to sponsor employment visas at this time so we can only accept applications from candidates who are authorized to work in the U.S.
• If interested please submit an application or email your resume to