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A1M Solutions

Senior Data Engineer – Medicaid, CHIP

A1M Solutions

Senior Data Engineer at A1M Solutions designing scalable data pipelines for Medicaid and CHIP programs. Collaborating with teams to achieve concrete project goals and improve government healthcare services.

Posted 5/19/2026full-timeRemote • New York • 🇺🇸 United StatesSenior💰 $125,000 - $155,000 per yearWebsite

Tech Stack

Tools & technologies
AirflowAmazon RedshiftAWSCassandraCloudJavaJavaScriptNoSQLPostgresPythonSOAPSparkSQLTerraform

About the role

Key responsibilities & impact
  • As an A1M Senior Data Engineer, you work with minimal guidance to design and implement complex, scalable data pipelines and services.
  • You collaborate with the team to break down ambiguous or complex goals into concrete, feasible steps that align with and inform wider system strategy.
  • Senior engineers do not always have formal management or lead responsibilities, but an interest in teaching and coaching is essential.
  • Build and maintain complex, scalable data pipelines that ingest, reconcile, and validate data across multiple components, services or systems
  • Own components or services from development through deployment, monitoring, and production support
  • Deploy and manage tools in cloud environments using CI/CD and infrastructure as code
  • Build and operate data ingestion workflows that support mixed-modality content — spreadsheets (Excel, CSV), documents (PDF, Word), API feeds, and enterprise data services — with full lineage and audit traceability
  • Shape system design and contribute to architectural decisions, including writing decision documents and creating diagrams
  • Develop API services that facilitate bidirectional data integration with external systems, and enable dashboard and report development in tools like Power BI and Salesforce
  • Build data processing workflows using client appropriate tools (e.g. AWS, S3, Glue, EMR, Athena, RDS/Redshift) and, where applicable, appropriate tools for big-data processing (e.g. Databricks, Spark, and Hive)
  • Maintain data security and privacy controls for data at rest and in transit (FIPS 140 validated encryption, KMS-managed keys, least-privilege access)
  • Implement automated data quality, validation, and reconciliation jobs that flag missing or mismatched data, and other anomalies
  • Contribute to robust DevOps practices by writing unit and integration tests for all data processing code and partnering with DevOps engineers on CI, CD, and IaC (GitHub Actions, Terraform), so pipelines deploy reliably
  • Document data dictionaries, lineage, calculation logic, and pipeline runbooks
  • Drive improvements in code quality, testing practices, and development standards across the team
  • Mentor engineers, review code and technical designs, and contribute to team growth and technical direction
  • Collaborate to break down ambiguous or complex goals into concrete, feasible steps
  • Seek out and share new technologies and skills that support project goals
  • Participate in discussions with internal and external stakeholders

Requirements

What you’ll need
  • 8 years of relevant professional experience, including 4+ years of data pipeline experience.
  • Ability to write high-quality, working, and reusable code
  • Advanced proficiency in modern software development languages and systems (e.g., HTML, CSS, Javascript, Python, AWS, )
  • Data pipeline experience using Python, Java, and cloud technologies
  • Strong understanding of AWS data services including S3, Redshift, RDS, EMR, AWS Glue, AWS Glue DataBrew, Athena, QuickSight, and Amazon SNS
  • Strong skills with relational, NoSQL, and SQL databases including Postgres and Cassandra
  • Experience with big-data processing with tools like Databricks, Spark or Hive
  • Experienced in data governance processes to ingest (batch and stream), curate, and share data with upstream and downstream consumers
  • Familiarity with workflow orchestration tools such as Airflow, Luigi, or Azkaban
  • Familiar with how to build secure, compliant software and defend against common vulnerabilities
  • Familiar with adjacent specializations like backend and frontend development, Dev Ops, or accessibility and comfortable flexing skills, as needed
  • Capable of operating as a self-starter in ambiguous environments, identifying high-impact work independently and executing on it
  • Proven ability to communicate technical results clearly and effectively to diverse stakeholders.
  • Experience working in government consulting engagements
  • Preferred:
  • Experience working with a social impact-focused product team or in civic tech
  • Experience working with distributed, cross-functional teams, including product managers, designers, engineers, and subject matter experts
  • Personal experience with government health and human services programs
  • Working knowledge of Medicare, the ACA, MACRA, Medicaid, or CHIP
  • Familiarity with SAFe and agile methodologies
  • Experience working or integrating with legacy systems
  • Experience working on large-scale applications and systems
  • Bachelor’s degree in Computer Science, Information Systems, Engineering, Business, or other related scientific or technical discipline
  • Specific to this opening:
  • Experience working with Medicaid, MMIS, T-MSIS, APD/MDBT, or other CMS data sets
  • Experience integrating data with Salesforce via REST/SOAP APIs, Bulk API, and Salesforce Connect
  • Familiarity with Power BI semantic models, datamarts, and Microsoft Fabric / DataConnect equivalents
  • AWS Data Analytics or AWS Solutions Architect certification

Benefits

Comp & perks
  • Medical, dental, and vision coverage
  • Life insurance, short-term disability, and optional voluntary benefits
  • 401(k) retirement benefits with employer matching
  • Four weeks of paid time off, seven company holidays, two personal days, and your birthday off
  • Paid volunteer time
  • Wellness reimbursements
  • Budgets to support training, development, travel, and office supply needs
  • Donations to a nonprofit of your choice upon hire and a few times throughout each year

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Hard Skills & Tools
data pipelinePythonJavaAWSSQLNoSQLDatabricksSparkHivedata governance
Soft Skills
communicationmentoringcollaborationself-starterproblem-solvingcoachingteam growthtechnical directioncode qualitytesting practices
Certifications
AWS Data AnalyticsAWS Solutions Architect