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Senior Data Analyst
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Senior Data Analyst
- Indiana, Pennsylvania, United States
- Indiana, Pennsylvania, United States
À propos
Caring. Connecting. Growing together.
Primary Responsibilities
Tech Stack: Azure, Databricks, Power BI, and PostgreSQL
Responsibilities Across the Data Lifecycle
Discovery & Ingestion
Source assessment, contracts, SLAs; landing design (batch/stream)
Build resilient ingestion with lineage and schema change alerts
Storage & Modeling
Define bronze/silver/gold zones; dimensional models for BI; CDC into Delta/Synapse
Govern via Unity Catalog/Purview; metadata completeness ≥95%
Transformation & Quality
Implement SDE/SLAs for transformations; automated data quality checks (completeness, accuracy, timeliness)
Versioned pipelines, testing (unit/integration), rollback plans, blue/green deployments
Serving & Visualization
Curated datasets with documented measures; self-service enablement via Power BI; certified datasets
Performance SLAs (e.g., P95
Operations & Security
Observability (alerts, SLOs, error budgets), incident management, change management
Least privilege access, key rotation, secret scanning, compliance (e.g., GDPR-like PII controls)
Cost & Efficiency
Monitors spend per pipeline/workspace; enforce cluster policies; storage lifecycle tiering
Right-size jobs and warehouse pools; commit/reserved capacity were ROI-positive
Required Qualifications
Bachelor's or master's degree in computer science, Engineering, or a related field
7+ Years of experience in the Data Engineering Space with the below Skills and Responsibilities
Ability to design and operate Azure + Databricks Lakehouse with bronze/silver/gold architecture, governed by Unity Catalog and Purview
Ability to build batch and streaming pipelines (ADF, Structured Streaming), with automated data quality checks, CI/CD, and observability
Ability to model curated datasets and semantic layers in Power BI; implement RLS/OLS and deployment pipelines for enterprise-scale reporting
Ability to manage PostgreSQL schemas, performance, and replication strategies; implement CDC to Lakehouse/Synapse
Ability to enforce security baselines (Managed Identity, Private Endpoints, Key Vault) and compliance for sensitive data
Ability to drive cost optimization via cluster policies, autoscaling, storage tiering, and reserved capacity planning.
Ability to collaborate with product owners and data stewards to standardize metric definitions and certify datasets
Recommended Certifications & Learning Paths
Microsoft Azure:
DP-203 (Data Engineering on Microsoft Azure)
AZ-305 (Architecting) for cross-cloud design
Databricks:
Data Engineer Associate/Professional
Lakehouse Fundamentals
Power BI:
PL-300 (Power BI Data Analyst)
PostgreSQL:
EDB or Crunchy Data PostgreSQL certifications (optional but valuable)
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone – of every race, gender, sexuality, age, location and income – deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes – an enterprise priority reflected in our mission.
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Compétences linguistiques
- English
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