Optum Logo

Optum

Senior Data Analyst

Posted 2 Hours Ago
Be an Early Applicant
Remote
Hiring Remotely in India
Senior level
Remote
Hiring Remotely in India
Senior level
Design, build, and operate Azure/Databricks lakehouse pipelines (batch and streaming) with governance, data quality, observability, and cost controls. Model curated datasets and semantic layers in Power BI, manage PostgreSQL replication/CDC to lakehouse/Synapse, enforce security/compliance, and collaborate with product owners and data stewards to certify enterprise datasets.
The summary above was generated by AI
Requisition Number: 2359454
Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start 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 <3s report load; streaming lag <60s)
  • 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
  • Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regard to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

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.

Similar Jobs at Optum

2 Hours Ago
Remote
Senior level
Senior level
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Design and operate an Azure + Databricks lakehouse; build batch and streaming ingestion pipelines with CDC, automated data quality, CI/CD and observability; model curated datasets and semantic layers for Power BI; enforce security/compliance controls and cost optimization; collaborate with product owners and data stewards.
Top Skills: AzureAzure Data Factory (Adf)Azure Key VaultAzure Private EndpointsAzure SynapseCdcCi/CdDatabricksDelta LakeManaged IdentityMicrosoft PurviewPostgresPower BIStructured StreamingUnity Catalog
2 Hours Ago
Remote
Senior level
Senior level
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Design and operate an Azure + Databricks lakehouse; build batch and streaming ingestion pipelines with CDC, automated data quality, CI/CD and observability; model curated datasets and semantic layers for Power BI; enforce security/compliance controls and cost optimization; collaborate with product owners and data stewards.
Top Skills: AzureAzure Data Factory (Adf)Azure Key VaultAzure Private EndpointsAzure SynapseCdcCi/CdDatabricksDelta LakeManaged IdentityMicrosoft PurviewPostgresPower BIStructured StreamingUnity Catalog
2 Hours Ago
Remote
Senior level
Senior level
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Lead application development and technical direction, mentor junior engineers, and integrate AI-assisted engineering (code generation, reviews, research). Design and implement scalable microservices using .NET/C#, TypeScript, SQL and Azure/Terraform. Ensure coding standards, security, quality, and participate in full lifecycle delivery, testing, deployment, support, and cross-functional collaboration.
Top Skills: .NetAzureC#GitGithub ActionsGithub CopilotLangchainLanggraphMcp-Based DevelopmentMicroservicesMicrosoft 365 CopilotSQLTerraformTypescript

What you need to know about the Edinburgh Tech Scene

From traditional pubs and centuries-old universities to sleek shopping malls and glass-paneled office buildings, Edinburgh's architecture reflects its unique blend of history and modernity. But the fusion of past and future isn't just visible in its buildings; it's also shaping the city's economy. Named the United Kingdom's leading technology ecosystem outside of London, Edinburgh plays host to major global companies like Apple and Adobe, as well as a growing number of innovative startups in fields like cybersecurity, finance and healthcare.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account