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eSimplicity · 10 hours ago

Staff Software Engineer

DC-Baltimore Area

Full-time

Hybrid

Senior Level, Lead/Staff

$112K/yr - $150K/yr

10+ years exp

eSimplicity is a modern digital services company that partners with government agencies to improve the lives and protect the well-being of all Americans. They are seeking a seasoned Staff Software Engineer to lead and mentor data engineers, design scalable data architectures, and deliver analytical tools that provide actionable insights into business performance.

Health CareInformation TechnologySoftwareTelecommunications

Growth Opportunities

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

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

Qualification

DatabricksAWSETL/ELT processesRESTful APIsPythonGitContainerizationAgile methodologyTypeScriptJavaScriptAutomated testingData governanceCommunication skills

Required

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 out 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 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, TypeScript 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 GraphQL 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 GitHub 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 communication skills, including the ability to explain technical concepts to non-technical stakeholders

Preferred

Deep knowledge of working with relational and NoSQL databases (PostgreSQL, MySQL, MongoDB)

Knowledge of event-driven architectures and systems like Kafka, Kinesis or RabbitMQ

Familiarity with Redis for caching or message queuing

Familiarity with data mesh principles, domain-oriented architectures and experience connecting data domains securely

Experience working with authentication/authorization frameworks like OAuth, SAML, Okta, Active Directory, and AWS IAM (ABAC)

Experience exploring or building ETL pipelines and data ingestion workflows

Experience with modern frameworks such as React.js, Next.js, Node.js, Flask

Strong grasp of access control, identity management, and federated data governance

CMS and Healthcare Expertise: In-depth knowledge of CMS regulations and experience with complex healthcare projects; in particular, data infrastructure related projects or similar