Principal Data Engineer- Remote or Hybrid in MN or DC - job post
$112,700 – $193,200 USD
Tech Stack
Cloud-Based Data SolutionsAzure DatabricksApache KafkaSnowflakeGitHubGitHub ActionsPythonScalaSQLVersion ControlCI/CD PipelinesAutomated DeploymentRestful ApisData IntegrationData ModelingData Warehousing ArchitecturesAI TechniquesLarge Language ModelsRetrieval Augmented GenerationAutonomous Agents
Solid badges = required, outlined = preferred
Responsibilities
- Partner closely with product owners, system analysts, and engineering teams to deliver data solutions aligned with an Agile roadmap.
- Design, build, test, and operate data-intensive systems, including streaming and batch pipelines using technologies such as Databricks, Kafka, Snowflake, and cloud-native storage solutions.
- Develop and maintain ETL/ELT pipelines, data transformations, and orchestration workflows using Python, SQL, and distributed processing frameworks.
- Implement and continuously improve CI/CD, DevOps, and DataOps practices to enable reliable, automated deployments of data pipelines and analytics workloads.
- Serve as a technical leader and key point of contact for scrum teams, guiding and influencing solutions across teams and mentoring junior engineers.
Soft Skills
AgileAnalytical ThinkingProblem SolvingCreative ThinkingHealthcare
Benefits
- 401k
- Dental
- Equity
- Health Insurance
- Hybrid Work
- Remote Work
- Vision
Culture
Inclusive HiringCross-Functional TeamsMentorship ProgramAgile/ScrumMission-DrivenWork-Life Balance
Requirements
Required: Bachelor's degree in engineering or equivalent experience
Regions: Us
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About Optum
Industry: healthtech
Size: enterprise
Optum is a global leader in health care innovation, developing cutting-edge AI/ML solutions to improve health care for everyone and transforming the health care journey through responsible AI/ML innovation.
View company profile →Compensation
Base salary: $112,700 – $193,200 USD
Equity: equity stock purchase
Bonus: incentive and recognition programs
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