Software Engineer, Data Engineer, Data Science Manager

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About Us: eSimplicity is a modern digital services company that partners with government agencies to improve the lives and protect the well‑being of all Americans, from veterans and service members to children, families, and seniors. Our engineers, designers, and strategists cut through complexity to create intuitive products and services that equip federal agencies with solutions to courageously transform today for a better tomorrow.

Job Type: Full‑time

We’re looking for a seasoned Staff Software Engineer who has deep experience working in large‑scale Databricks ecosystems. This role is ideal for someone eager to explore and build tools that help move, manage, and govern large‑scale data across interconnected platforms. You’ll work on building web interfaces, backend services, and automated workflows that power our internal helper tools, support data mesh strategies, and manage authenticated access to distributed data environments.

You’ll be collaborating closely with engineers, Dev Ops, product owners, and data architects to rapidly prototype, build, and scale data‑aware applications and infrastructure that facilitate secure and efficient data movement and integration.

• Lead and mentor data engineers and related roles, promoting a culture of technical excellence and collaboration.
• Identify and own enterprise‑wide data architecture technical solutions, ensuring alignment with business growth and emerging technologies.
• Design, build, and evolve scalable data architectures and pipelines with a focus on simplicity, performance, and reliability.
• Develop and optimize ETL/ELT processes, data flows, and infrastructure leveraging AWS, SQL, and platforms such as Databricks, Redshift, Hadoop, and Airflow.
• Assemble and manage large, complex datasets to meet functional and non‑functional business requirements.
• Implement best practices in data quality, profiling, anomaly detection, and performance monitoring.
• Deliver analytical tools and data products that provide actionable insights into business performance and customer behavior.
• Partner with cross‑functional teams—including engineers, analysts, data scientists, product, and government stakeholders—to address data challenges.
• Drive process improvements to enhance scalability, automation, and developer productivity.
• Promote engineering best practices through testing, CI/CD, Infrastructure as Code, and code reviews.

• All candidates must pass public trust clearance through the U.S. Federal Government. This requires candidates to either be U.S. citizens or pass clearance through the Foreign National Government System, which will require that candidates have lived within the United States for at least 3 of the previous 5 years, have a valid and non‑expired passport from their country of birth, and appropriate visa/work permit documentation.
• Bachelor’s degree in Computer Science, Software Engineering, Data Science, Statistics, or a related technical field.
• Minimum 10 years of relevant experience in software engineering.
• Minimum 2 years working in large scale Databricks implementation.
• Proficiency in at least one of the following languages:
  Python, Type Script, or JavaScript.
• Proven experience working on large‑scale system architectures and petabyte‑level data systems.
• Experience with cloud‑native data tools and architectures (e.g., Redshift, Glue, Airflow, Apache Spark).
• Proficient in automated testing frameworks (PyTest, Playwright, or Jest) and testing best practices.
• Experience developing, testing, and securing RESTful and Graph
  
  QL APIs.
• Proven track record with AWS cloud architecture, including networking, security, and service orchestration.
• Experience with containerization and deployment using Docker, and infrastructure automation with Kubernetes and Terraform/Terragrunt.
• Proficiency with Git, Git‑based workflows, and release pipelines using Git Hub Actions and CI/CD platforms.
• Knowledge of performance monitoring tools like Grafana, Prometheus, and Sentry.
• Comfortable working in a tightly integrated Agile team (10 or fewer people).
• Strong written and verbal…