Senior Data Engineer

🔥 21 hours ago

🦀 Maryland – Remote

🦀 Maryland – Remote

💵 $132.4k - $151.8k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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eSimplicity

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2016

⚕️ Healthcare Insurance

📡 Telecommunications

🤖 Artificial Intelligence

Healthcare Insurance • Telecommunications • Artificial Intelligence

eSimplicity is a company comprised of designers, engineers, and strategists that excels in creating digital services and healthcare IT solutions. They simplify complexity to deliver award-winning products and services that enhance customer experiences, improve public health, and secure the nation. Specializing in areas such as healthcare IT, telecommunications, identity management, and fraud prevention, they work with organizations like the Centers for Medicare & Medicaid Services (CMS) to improve healthcare access and quality. eSimplicity is recognized for their innovative approaches in spectrum management, data analytics, and machine learning, aiming to broaden healthcare coverage and simplify processes for healthcare providers and beneficiaries.

📋 Description

• Designing, developing, and maintaining scalable data pipelines that ingest, reconcile, and validate Medicaid program data from MESH and connected CMS systems including T-MSIS, MBES, MacFin, SPoTT, and CMCS DataConnect • Building and operating data ingestion workflows that support mixed-modality content • Implementing the data layer that powers the Master Detailed Budget Table (MDBT) modernization, • Developing API services to facilitate bidirectional data integration between MESH (Salesforce) and external systems • Building data processing workflows on AWS (S3, Glue, EMR, Athena, RDS/Redshift) • Creating data products that feed Power BI dashboards and Salesforce reports • Implementing automated data quality, validation, and reconciliation jobs • Supporting AI/ML pipelines for the MESH platform • Writing unit and integration tests for all data processing code • Performing code reviews • Contributing to data-engineering standards and mentoring less experienced engineers • Maintaining data security and privacy controls for data at rest and in transit • Documenting data dictionaries, lineage, calculation logic, and pipeline runbooks in CMS-approved tools

🎯 Requirements

• All candidates must pass public trust clearance through the U.S. Federal Government. • 10+ years of hands-on software development experience; • 4+ years of data pipeline experience using Python, Java, and cloud technologies • Bachelor’s degree in Computer Science, Information Systems, Engineering, Business, or other related scientific or technical discipline • Strong understanding of AWS data services including S3, Redshift, RDS, EMR, AWS Glue, AWS Glue DataBrew, Athena, QuickSight, and Amazon SNS • Experience with Spark and Hive for big-data processing • Experience building job workflows on Databricks or comparable platforms • Familiarity with workflow orchestration tools such as Airflow, Luigi, or Azkaban • Experienced in data governance processes to ingest (batch and stream), curate, and share data with upstream and downstream consumers • Strong skills with relational, NoSQL, and SQL databases including Postgres and Cassandra • Familiarity with DevOps methodologies, including CI/CD pipelines (GitHub Actions) and IaC (Terraform) • Experience with Agile methodology and test-driven development.

🏖️ Benefits

• medical, dental, and vision coverage • 401(k) retirement benefits • paid time off • paid holidays • life and disability insurance • additional wellness and employee support programs