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Data Engineer

Roles & Responsibilities

  • Must pass FBI fingerprint and background check in multiple states
  • 3+ years of experience in data engineering or related backend/infrastructure roles
  • Proficiency with relational and non-relational datastores (e.g., MySQL, OpenSearch)
  • Strong experience with AWS tools such as S3, Glue, and Lambda

Requirements:

  • Design, implement, and maintain data pipelines and workflows to support AI and analytics use cases
  • Manage and optimize structured and semi-structured data using MySQL, Redshift, OpenSearch, and related datastores
  • Evaluate and implement new database technologies and AWS-native tools to support scalability and performance
  • Collaborate with data scientists, engineers, and product managers to ensure data needs are met across systems

Job description

Data Engineer

Location: Remote (U.S.-based, U.S. Citizens Only)

Type: Full-Time

Clearance: Must pass FBI fingerprint and background check in multiple states

About GovWorx

GovWorx is a mission-driven technology company dedicated to supporting public safety agencies—including 911 Emergency Communications Centers, law enforcement, and fire/EMS departments—through responsible AI solutions. Our platforms, such as CommsCoach, BluAssist, and MedAssist, leverage operational data to enhance training, quality assurance, and performance evaluation, aiming to improve staffing, morale, and efficiency across public safety sectors.

Position Overview

We’re looking for an experienced, impact-driven Data Engineer to join GovWorx, a company at the forefront of Responsible AI for public safety. You’ll play a key role in shaping and delivering AI solutions that support 911, Law Enforcement, and Fire/EMS teams. This role is ideal for someone with a strong background in data infrastructure, cloud systems, and a passion for building reliable, scalable pipelines that power AI systems in production.

Key Responsibilities

  • Design, implement, and maintain data pipelines and workflows to support AI and analytics use cases

  • Manage and optimize structured and semi-structured data using MySQL, Redshift, OpenSearch, and related datastores

  • Evaluate and implement new database technologies and AWS-native tools to support scalability and performance

  • Collaborate with data scientists, engineers, and product managers to ensure data needs are met across systems

  • Build internal tooling for data access, transformation, and quality monitoring

  • Support infrastructure-as-code and cloud automation to maintain high system reliability

Qualifications

Must-Haves:

  • 3+ years of experience in data engineering or related backend/infrastructure roles

  • Proficiency in working with relational and non-relational datastores (e.g., MySQL, OpenSearch)

  • Strong experience with AWS tools such as S3, Glue, Lambda, or similar

  • Experience building and maintaining ETL/ELT pipelines and working with structured and unstructured data

  • Experience with Python for data processing (pandas, PySpark, or similar)

  • Comfort with contributing to production codebase

  • Familiarity with containerization (e.g., Docker) and version control (e.g., Git)

  • Must pass FBI fingerprint and background check in multiple states

Nice to Have:

  • Experience supporting ML/AI pipelines or working closely with data science teams

  • Experience with Sisense or similar embedded BI/analytics platforms

  • Knowledge of DBT or similar SQL transformation frameworks

  • Familiarity with infrastructure as code tools (e.g., Terraform, CloudFormation)

Why Join GovWorx?

  • Contribute to cutting-edge AI projects that directly support public safety

  • Be a key influencer in product and model strategy at a growing AI company

  • Collaborate with a high-performing team across data science, product, and engineering

  • Help shape the future of Responsible AI through mission-driven work

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