Senior Data Engineer

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Benchmark Analytics

WebsiteLinkedInAll Job Openings

51 - 200 employees

🏛️ Government

💼 Consulting

🔒 Cybersecurity

Government • Consulting • Cybersecurity

Benchmark Analytics is a company dedicated to transforming police force management through its all-in-one data management and early intervention system. Founded by professionals with extensive law enforcement backgrounds, the company leverages data science and advanced technology to enhance personnel management within policing. Its Benchmark Management System (BMS) allows for comprehensive tracking and analysis of police officers' performance, while its First Sign® platform provides research-based early intervention tools to identify and support officers displaying at-risk behavior. The goal of Benchmark Analytics is to empower police departments of all sizes with tools that ensure effective personnel management and intervention strategies.

📋 Description

• Own the technical design, implementation, rollout, and operational support of major greenfield data-platform components using Python, Kubernetes, and AWS • Lead complex platform initiatives from discovery and architecture through incremental delivery and production adoption • Translate ambiguous business and technical objectives into designs, implementation plans, and production-ready systems • Design, develop, and maintain scalable, fault-tolerant ETL/ELT pipelines across structured and unstructured data • Build reusable platform capabilities for configuration, execution, logging, metrics, error handling, testing, deployment, and operational support • Design workflows supporting idempotency, replayability, backfills, schema evolution, partial-failure recovery, and safe production rollout • Assess legacy data processes and lead incremental modernization while preserving production continuity and reducing operational risk • Establish engineering patterns and standards, lead technical design reviews, and challenge unnecessary complexity • Diagnose production, performance, and data-quality issues and drive durable corrective actions • Improve platform scalability, reliability, observability, maintainability, security, and cost efficiency • Collaborate with application engineering, data science, QA, product, analytics, and client-facing teams • Evaluate and integrate AI-assisted or agentic workflows • Provide technical mentorship through architecture guidance, code reviews, reusable patterns, documentation, and engineering feedback • Serve as a primary technical subject matter expert in internal, cross-functional, and client-facing discussions

🎯 Requirements

• Bachelor’s degree in a STEM field or equivalent professional experience • 8+ years of professional experience building and operating production data systems • 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 supporting 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 Airflow or an equivalent orchestration framework • Practical experience with CI/CD, infrastructure as code, automated testing, and production observability • 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 • Ability to evaluate and communicate architectural tradeoffs involving scalability, reliability, maintainability, security, cost, delivery speed, and team capability • Ability to convert incomplete or ambiguous requirements into technical direction and executable delivery plans • Technical influence through design reviews, engineering standards, mentorship, or shared platform development • Candidates must be based in the U.S. and willing to work in the Central Time Zone • Must be authorized to work in the U.S.; employment visa sponsorship is unavailable

🏖️ Benefits

• Unlimited Paid Time Off • Fully remote work environment • Summer Half-Day Fridays • Freed Up Fridays during Spring, Fall, and Winter months • Medical, dental, and vision plan offerings • 401(k) • Employer-paid Short-Term Disability • Employer-paid Long-Term Disability • Employer-paid Life Insurance • Additional Life Insurance • Spouse Life Insurance • Accident Insurance • Diverse and inclusive environment • Professional growth opportunities • Empowered culture encouraging creativity and professional growth • Satisfaction of contributing to a solution with real-world impact