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Senior Analytics Engineer
HarmonyCares. Transform complex healthcare business needs into scalable, governed, analytics-ready data solutions .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in transforming complex healthcare business needs into scalable data solutions, with strong proficiency in data modeling, feature engineering, and cloud data platforms. Capable of collaborating with cross-functional teams to deliver analytics-ready datasets and optimize data pipelines for AI/ML applications.
Highest-signal resume keywords
Healthcare Data StandardsData Transformation PipelinesSQL ProficiencyAzure Data FactoryDatabricks Experience
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ModelingFeature EngineeringSQLPythonScalaData LakesDistributed ProcessingData GovernanceCI/CDHIPAA Compliance
Soft Skills
Strong Communication SkillsCollaboration
Tools & Technologies
AzureDatabricksPower BITableauMicrosoft Fabric
Industry Keywords
ICD-10CPTSNOMEDHealthcare Integration EnginesClaims DatasetsClinical DatasetsPayer EnvironmentProvider Environment
Tech Stack
Tools & technologiesAWSAzureCloudGoogle Cloud PlatformPythonScalaSparkSQLTableau
About the role
Key responsibilities & impact- Transform complex healthcare business needs into scalable, governed, analytics-ready data solutions
- Collaborate with clinical, operational, and business teams to understand workflows and translate needs into data models, curated datasets, standardized metrics, and AI-ready data assets
- Decompose complex data and AI requirements and design maintainable, production-grade data and feature pipelines
- Design, build, and optimize data transformation pipelines and analytics models using cloud platforms such as Azure Data Factory, Databricks, and Microsoft Fabric
- Develop and maintain feature engineering pipelines for machine learning use cases
- Build reusable data marts and feature stores for BI and AI/ML workloads
- Partner with data scientists and ML engineers to prepare model-ready datasets and align training and inference data
- Embed AI/ML outputs into clinical and operational workflows
- Develop and optimize semantic models, curated datasets, and dashboards in Databricks, Power BI, and Tableau
- Work with claims, clinical, and operational healthcare datasets
- Ingest, transform, and normalize healthcare data using ICD-10, CPT, and NDC standards
- Perform other job-related assignments as requested
Requirements
What you’ll need- Bachelor’s degree in information technology, Computer Science, or a related field, or equivalent experience
- 5+ years of experience working with healthcare data in analytics engineering, data engineering, or related data-focused roles
- Strong experience with claims and clinical datasets across payer and/or provider environments
- Experience designing and building scalable data models, curated data marts, and semantic layers
- Deep understanding of healthcare data standards and vocabularies, including ICD-10, CPT, and SNOMED
- Experience with cloud data platforms, preferably Azure; AWS or GCP acceptable
- Experience with data lakes/lakehouses, distributed processing such as Databricks/Spark, and orchestration tools
- Strong proficiency in SQL
- Experience with at least one programming language such as Python or Scala
- Familiarity with feature engineering and preparing ML-ready datasets
- Experience translating business problems into structured, scalable data solutions
- Experience in a healthcare services, payer, or provider organization
- Strong communication skills and ability to translate complex technical concepts into business-friendly insights
- Hands-on experience with Databricks preferred
- Knowledge of CI/CD, infrastructure-as-code, or data platform automation preferred
- Prior experience with healthcare integration engines such as Rhapsody or Mirth preferred
- Prior experience with data governance, HIPAA compliance, and PHI handling preferred
Benefits
Comp & perks- Health, Dental, Vision, Disability & Life Insurance
- 401K Retirement Plan (with company match)
- Tuition, Professional License and Certification Reimbursement
- Paid Time Off, Holidays and Volunteer Time
- Paid Orientation and Training