Senior Data Engineer

Analytica; Washington (Washington County); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Bonus opportunities

Employer-paid health care

Training & development funds

401k match

Job summary

Analytica is seeking a Senior Data Engineer to design, build, and operate enterprise-grade data platforms and pipelines for health care data modernization and analytics. The role requires deep cloud-native data engineering expertise, DataOps practices, and experience in regulated healthcare environments.

You will lead development of scalable, secure pipelines, drive data quality, governance, and compliance with CMS standards, and mentor engineers while collaborating with architects, scientists,

Qualifications

• 8+ years of data engineering experience in large-scale enterprise environments.
• 3+ years supporting CMS or other federal healthcare programs.
• Experience operating production-grade data platforms in regulated environments.
• Demonstrated DataOps experience and modern data engineering practices.

Responsibilities

• Design, build, and maintain scalable batch and streaming data pipelines using Databricks and cloud-native services.
• Develop and maintain medallion architecture patterns (Bronze, Silver, Gold) within Lakehouse environments.
• Implement data integration across structured and unstructured healthcare sources while ensuring security and compliance.
• Lead architectural reviews and mentor junior engineers to promote best practices across teams.
• Ensure data quality, observability, and governance; implement CI/CD for data products.

Skills

Databricks Lakehouse Platform

Apache Spark

PySpark

SQL

Python

DataOps practices

Cloud data platforms (AWS, Azure)

CI/CD for data products

Data quality & observability

Data lineage & metadata management

Orchestration/workflow management

Lakehouse patterns & architecture

Education

Bachelor’s degree in Computer Science, Information Systems, Engineering, or related technical discipline

Tools

Databricks

AWS

Azure

Delta Lake

Unity Catalog

Collibra

Informatica

Job description

Analytica is seeking a Senior Data Engineer to support large-scaleHealth caredata modernization and analytics initiatives. This roleis responsible fordesigning, building,optimizing, and operating enterprise-grade data platforms and pipelines that support mission-critical healthcare programs. The ideal candidatepossessesdeepexpertisein cloud-native data engineering,DataOpspractices, and regulated healthcare environments.

The Senior Data Engineer will lead the development and maintenance of scalable, secure, and auditable data pipelines while ensuring data quality, reliability, and compliance with federal healthcare regulations and CMS data governance requirements. This individual will serve as a technical leader, collaborating with data architects, data scientists, business analysts, and program stakeholders to deliver high-quality data products and operational capabilities.

Analytica has been recognized byInc. Magazineas one of the fastest-growing 250 businesses in the US for 3 years. We work with U.S. government clients in health, civilian, and national security missions to build better technology products thatimpactour day-to-day lives. The company offers competitive compensation with opportunities for bonuses, employer-paid health care, training and development funds, and 401kmatch.

Key Responsibilities:

Data Engineering & Platform Development

• Design, develop, andmaintainscalable batch andstreamingdata pipelines using Databricks and/orcloud-native services.
• Build andoptimizeETL/ELT workflows that support operational reporting, analytics, machine learning, and data-sharing initiatives.
• Develop andmaintainmedallion architecture patterns (Bronze, Silver, Gold) within Databricks Lakehouse environments.
• Implement data integration solutions across multiple structured and unstructured healthcare data sources.
• Design reusable frameworks, templates, and accelerators that improve engineering productivity and consistency.

Data Operations (DataOps)

• Establish andmaintainDataOpsprocesses that support reliable, automated, and observable data pipelines.
• Monitor pipeline health, performance, data quality, and operational SLAs.
• Implement automated testing, deployment, version control, and CI/CD practices for data products.
• Develop proactive monitoring, alerting, and incident response procedures.
• Troubleshoot and resolve production data issues while minimizing operational impact.

Healthcare & Regulatory Compliance

• Ensure solutionscomply withCMS, federal, and healthcare-specific security, privacy, and data governance requirements.
• Support environmentscontainingprotected health information (PHI), personally identifiable information (PII), and other sensitive healthcare datasets.
• Implement auditability, lineage, metadata management, and data quality controls.
• Partner with governance and security teams to ensure compliance with applicable standards and policies.

Architecture & Technical Leadership

• Collaborate with solution architects andcustomerstakeholders to define data platform strategy andimplementationroadmaps.
• Lead technical design reviews and contribute to enterprise data architecture decisions.
• Optimizedata storage, processing performance, and cost management within cloud environments.
• Mentor junior engineers and promote engineering best practices across teams.

Required Qualifications:

Experience

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or related technical discipline.
• 8+ years of data engineering experience, including large-scale enterprise data environments.
• 3+ years supporting CMS or other federal healthcare programs.
• Experienceoperatingand supporting production-grade data platforms in regulated environments.
• Demonstrated experience withDataOpsand modern data engineering practices.

Technical Skills

• Expert-level experience withDatabricks Lakehouse Platform.
• Strongproficiencywith Apache Spark,PySpark, SQL, and Python.
• Experience designing andmaintainingoperational data pipelines atenterprisescale.
• Hands-on experience with cloud data platforms in AWSorAzurecloud environments.
• Experience implementing CI/CD pipelines using Git-based development workflows.
• Expertisein data quality, observability, lineage, metadata management, and monitoring frameworks.
• Experience with orchestration and workflow management tools.
• Strong knowledge oflakehouse, warehouse, and modern data architecture patterns.

Regulatory & Healthcare Knowledge

• Experience supporting CMS, Medicare, Medicaid, or other federal healthcare data programs.
• Understanding ofhealthcare data governance, security, privacy, and compliance requirements.
• Experience working with healthcare data standards and regulated datasets.
• Familiarity with Federal Information Security requirements and operational controls.

Preferred Qualifications

• Databricks Certified Data Engineer Professional
• Additional Databricks certifications.
• Experience supporting cloud-native analytics platforms for CMS.
• Experience implementing Delta Lake, Unity Catalog, and advanced Databricks governance capabilities.
• Familiarity with machine learning operations (MLOps) and AI/ML data pipelines.
• Experience with Collibra, Informatica,Unity Catalogor comparable data governance platforms.
• Experience supporting FedRAMP or FISMA-compliant environments.
• Prior experience leading technical teams or serving as a technical lead.

Desired Competencies:

• Deep technicalexpertisein modern data engineering andDataOpspractices.
• Strong problem-solving and troubleshooting abilities.
• Exceptional written and verbal communication skills.
• Ability to translate business requirements into scalable technical solutions.
• Proven ability tooperateeffectively in highly regulated healthcare environments.
• Commitment to data quality, operational excellence, and continuous improvement.

About

Analytica is a leading consulting and information technology solutions provider to public sector organizations supporting health, civilian, and national security missions. The company is an award-winning **SBA certified small business ****** that has been recognized by Inc. Magazine each of the past three years as one of the 250 fastest-growing companies in the U.S. Analytica specializes in providing software and systems engineering, information management, analytics & visualization, agile project management, and management consulting services. The company is appraised by the Software Engineering Institute (SEI) at CMMI® Maturity Level 3 and is an ISO 9001:2008 certified provider.

Analytica LLC is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all individuals, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable federal, state, or local law. As a federal contractor, we comply with the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and take affirmative action to employ and advance in employment qualified protected veterans. We ensure that all employment decisions are based on merit, qualifications, and business needs. We prohibit discrimination and harassment of any kind. Analytica LLC also provides reasonable accommodations to applicants and employees with disabilities, in accordance with applicable law.

To enhance efficiency, Analytica may use AI-assisted tools to support certain aspects of our hiring process.

• Application Review: AI tools may help identify skills and experiences relevant to the role.
• Interview Support: AI-powered notetaking tools may be used during interviews to document discussions and summarize key points.

These tools are used to assist our team. All hiring decisions are made by Analytica recruiters and hiring managers.

By submitting an application, you acknowledge that AI-assisted tools may be used to support parts of the application and interview process.

When receiving email communication from Analytica, please ensure that the email domain is analytica.net to verify its authenticity.