Full-Time
Job Not Found
eSimplicity
51-200 employees
Healthcare IT, cybersecurity, and federal telecom
No salary listed
Columbia, MD, USA
Hybrid
Hybrid work within the Eastern Time Zone; travel is less than 5% per year.
 Data & Analytics (1) |
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- Bachelor's degree in Computer Science, Software Engineering, Data Science, Statistics, or related technical field
- 10+ years of experience in software/data engineering, including data pipelines, data modeling, data integration, and data management
- Expertise in data lakes, data warehouses, data meshes, data modeling and data schemas (star, snowflake…)
- Strong expertise in SQL, Python, and/or R, with applied experience in Apache Spark and large-scale processing using PySpark or Sparklyr
- Experience with Databricks in a production environment
- Strong experience with AWS cloud-native data services, including S3, Glue, Athena, and Lambda
- Strong proficiency with GitHub and GitHub Actions, including test-driven development
- Proven ability to work with incomplete or ambiguous data infrastructure and design integration strategies
- Excellent analytical, organizational, and problem-solving skills
- Strong communication skills, with the ability to translate complex concepts across technical and business teams
- Proven experience working with petabyte-level data systems
- 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.
- Developing, expanding and optimizing data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams
- Support software developers, database architects, data analysts and data scientists on data initiatives and ensure optimal data delivery architecture is consistent throughout ongoing projects
- Creates new pipeline and maintains existing pipeline, updates ETL process, creates new ETL feature, builds PoCs with Redshift Spectrum, Databricks, AWS EMR, SageMaker, etc.
- Implements, with support of project data specialists, large dataset engineering: data augmentation, data quality analysis, data analytics (anomalies and trends), data profiling, data algorithms, and (measure/develop) data maturity models and develop data strategy recommendations.
- Operate large-scale data processing pipelines and resolve business and technical issues pertaining to the processing and data quality.
- Assemble large, complex sets of data that meet non-functional and functional business requirements
- Identify, design, and implement internal process improvements including re-designing data infrastructure for greater scalability, optimizing data delivery, and automating manual processes
- Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using AWS and SQL technologies
- Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition
- Working with stakeholders including data, design, product and government stakeholders and assisting them with data-related technical issues
- Write unit and integration tests for all data processing code.
- Work with DevOps engineers on CI, CD, and IaC.
- Read specs and translate them into code and design documents.
- Perform code reviews and develop processes for improving code quality.
- Perform other duties as assigned.
- Experience working with healthcare data, especially CMS (Centers for Medicare & Medicaid Services) datasets
- CMS and Healthcare Expertise: In-depth knowledge of CMS regulations and experience with complex healthcare projects; in particular, data infrastructure related projects or similar
- Demonstrated success providing support within the CMS OIT environment, ensuring alignment with organizational goals and technical standards
- Demonstrated experience and familiarity with CMS OIT data systems (e.g. IDR-C, CCW, EDM, etc.)
- Experience with cloud platform services: AWS and Azure
- Experience with streaming data (Kafka, Kinesis, Pub/Sub)
- Familiarity with data governance, metadata management, and data quality practices
eSimplicity delivers Healthcare IT, Cybersecurity, and Telecommunications solutions to improve healthcare quality, expand coverage, and lower costs while protecting national interests. Its Digital Services engineers build modern systems to fight fraud, waste, and abuse in healthcare and to enhance digital services. The Telecommunications team helps the DoD manage spectrum internationally, and a cleared engineering group supports the Department of Homeland Security in safeguarding national security. Compared with peers, eSimplicity combines federal-facing IT, security, and communications work with a track record of reinvention and mission-focused projects for DoD, DHS, and federal agencies. The company aims to improve the health and lives of Americans and defend national security by delivering reliable IT and communications solutions through federal partnerships.
Company Size
51-200
Company Stage
N/A
Total Funding
N/A
Headquarters
Rockville, Maryland
Founded
2016
Simplify's Take
What believers are saying
- NIH multiyear NHLBI contract accelerates heart disease research discoveries.
- Cloud-native data platforms boost federal analytics and cross-agency collaboration.
- Recent September 30, 2025 federal award signals sustained procurement wins.
What critics are saying
- Boeing and Lockheed Martin dominate DoD spectrum contracts within 6-12 months.
- Leidos displaces eSimplicity in NIH deals via cloud-AI in 12-18 months.
- HHS mandates exclude eSimplicity from $500M+ AI opportunities in 12-24 months.
What makes eSimplicity unique
- eSimplicity modernizes NHLBI legacy systems for NIH since September 2025.
- CMS awarded eSimplicity $4M in 2020-2021 for AI-enabling cloud migration.
- eSimplicity engineers DoD spectrum management and DHS cleared security solutions.
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Benefits
Health Insurance
Hybrid Work Options
Company News
NIH selects eSimplicity for heart Institute IT modernization contract. Photo: eSimplicity IT services firm eSimplicity has secured a multiyear contract from the National Institutes of Health to provide IT modernization support for the agency's National Heart, Lung and Blood Institute, or NHLBI. As agencies pursue IT modernization initiatives like the NHLBI effort, government and industry leaders will gather to discuss emerging technologies and mission-driven innovation. Register now for the 2026 Digital Transformation Summit on April 22 to join experts as they explore how digital tools, data and AI are reshaping federal operations. What is the scope of the NHLBI contract? In a LinkedIn post published Tuesday, eSimplicity said it will help modernize legacy systems and support software development standardization across NHLBI. The company will also support the development of a secure and integrated digital enterprise environment designed to improve collaboration across NHLBI teams. The modernization effort seeks to help scientists and innovators accelerate discoveries related to heart, lung, blood and sleep conditions that affect millions of Americans. "It's a privilege to work alongside such talented teams and help drive new ideas through NHLBI. We take pride in making technology work smarter, safer, and faster so we can deliver what really matters to our partners," said AnhThu Nguyen, founder and CEO of eSimplicity. What is eSimplicity? Founded in 2016, eSimplicity is a technology company focused on providing data modernization, enterprise systems and transformation, spectrum engineering and management, artificial intelligence and machine learning, and digital experience support for federal civilian, defense, intelligence and health agencies.
- In 2020 and 2021, the Centers for Medicare and Medicaid Services awarded tech consulting firm ESimplicity nearly $4 million to plan how to efficiently transition its data to cloud services that could support AI use.