Principal Data Engineering

Principal Data Engineering - Remote @ Optum | Jobright.ai

Principal Data Engineering - Remote jobs in United States

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Optum · 3 weeks ago

Principal Data Engineering - Remote

United States

Full-time

Remote

Lead/Staff

$113K/yr - $193K/yr

12+ years exp

Optum is a global organization that delivers care aided by technology to help millions of people live healthier lives. The Principal Data Engineer will lead the architecture, implementation, and optimization of scalable enterprise data solutions, including data pipelines, integrations, and analytics infrastructure. The role also serves as a technical subject matter expert who mentors engineering staff, establishes best practices, and drives innovation and operational efficiency.

Family & CareHealthcareHospitalWellnessChild CareHealth CaremHealthPersonal HealthPrimary and Urgent Care

H1B Sponsor Likely

Responsibilities

Collaborate closely with product owners, business users, and stakeholders to translate data product and reporting requirements into scalable, reliable data engineering solutions, incorporating feedback iteratively throughout the delivery lifecycle

Design, develop, and maintain end-to-end data pipelines across staging, integration, and consumption layers, leveraging Azure Data Factory, DBT, Snowflake SQL, and metadata-driven frameworks

Develop and optimize high-performance SQL queries, views, and stored procedures to support analytics and reporting, and provide guidance to analytics team members on effective and cost-efficient usage

Architect, develop, and support data integration processes including batch file ingestion and automated extracts

Partner with internal stakeholders to understand business objectives, study requirements, and identify appropriate technical solutions, integration patterns, and data models that balance performance, scalability, and maintainability

Serve as a technical subject matter expert and mentor, providing training, design guidance, and code reviews for associates on data engineering best practices, Snowflake optimization, and ADF/DBT pipeline design

Author and maintain detailed technical documentation, including data mappings, record layouts, file specifications, interface contracts, workflow diagrams, and operational runbooks for data loads and extracts

Continuously evaluate and improve data quality, monitoring, and operational efficiencies

Collaborate with business and technical partners to support data acquisition initiatives, including onboarding new data sources, developing business justifications, and executing secure, compliant data transfers

Communicate complex technical concepts clearly through written documentation, presentations, and discussions with audiences ranging from technical teams to senior leadership

Foster a collaborative, inclusive environment that promotes knowledge sharing, continuous improvement, and professional development across the team

Demonstrate strong analytical and troubleshooting skills to diagnose pipeline failures, data anomalies, and performance bottlenecks

Utilize enterprise-approved AI tools to streamline workflows, automate repetitive tasks, and increase overall engineering productivity

Evaluate emerging tech trends to inform continuous improvement, strategic innovation, and efficient solution design

Qualification

Data EngineeringEnterprise Data WarehousingETL ArchitectureAzure Data FactorySnowflakeSnowflake SQLDBTPythonGitHubCI/CD PipelinesREST APIsPowerShellStructured and Semi-Structured Data ProcessingReactPower BI

Required

Bachelor's degree or equivalent work experience of 12+ years

12+ years of hands-on data engineering experience, with an emphasis on enterprise data warehousing and ETL architectures

8+ years of ETL development experience designing and building pipelines and dataflows using Azure Data Factory and/or Snowflake, including parameterized and metadata-driven designs

8+ years of experience using Snowflake database, including creating data ingestion and extraction through stored procedures and leveraging Snowflake native utilities

8+ years of experience with GitHub version control systems including code merges and cross-environment deployments using CI/CD pipelines

8+ years of Python experience, particularly for data processing, orchestration, or validation workflows

5+ years of experience designing or consuming APIs and service-based integrations (REST) within Snowflake or ADF-based workflows

5+ years of scripting experience (Batch, PowerShell, or similar) to support automation and operational tasks specifically on the Azure platform

5+ years of Experience processing both structured and semi-structured data (e.g., fixed-width files, delimited files, JSON, XML)

5+ years of hands-on experience in React front-end development, including designing and implementing complex visualization components and dashboards

Preferred

Hands-on expertise in Power BI, including DAX, semantic model design, and performance tuning

.NET development experience

Benefits

Flexible remote work from anywhere within the U.S.

Comprehensive benefits package

Career development opportunities

Incentive and recognition programs

Equity stock purchase

401k contribution

Company

Optum

Glassdoor

3.6

Health care services and prescription management.

Founded in 1985

Albuquerque, New Mexico, USA

10001+ employees

https://nm.optum.com

H1B Sponsorship

Optum has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

91%

Represents job field similar to this job

Engineering and Development

Management and Executive

Product Management

Customer Service and Support

Accounting and Finance

Marketing

Sales

Creatives and Design

Trends of Total Sponsorships

*2026 (185)

2025 (648)

2024 (559)

2023 (620)

2022 (851)

2021 (593)

2020 (438)

Funding

Current Stage

Late Stage

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