Data Engineer

Be an Early Applicant In-Office or Remote 17 Locations Senior level In-Office or Remote 17 Locations Senior level Design, build, and operate scalable cloud data pipelines and platforms (Azure preferred). Implement DevSecOps, CI/CD, automated testing, monitoring, performance tuning, and production readiness. Mentor engineers, drive operational excellence, and translate requirements into robust technical designs. Apply healthcare domain knowledge and collaborate in agile teams to deliver secure, reliable data products. The summary above was generated by AI

Your Role

The Data Services team is responsible for technical design and end-to-end delivery of complex data-driven solutions and data products for the enterprise. The Data Engineer,Senior will report to the Sr Manager, Data Solutions / Manager. This role is responsible for independent designing, building, and operating complex data pipelines and cloud data solutions while embedding security, automation, and reliability throughout the software development lifecycle (SDLC). The Senior Data Engineer plays a critical role in ensuring production readiness, operational excellence, and adherence to engineering standards across data products.

This role is a hands-on technical leader who thrives in a collaborative environment, contributes to engineering best practices, and actively supports continuous improvement across people, process, and technology.

Our leadership model is about developing great leaders at all levels and creating opportunities for our people to grow - personally, professionally, and financially. We are looking for leaders that are energized by creative and critical thinking, building and sustaining high-performing teams, getting results the right way, and fostering continuous learning., * Design, build, and maintain complex, data pipelines from development through production for multiple use cases

• Develop efficient, scalable, and cost-effective implementations, leveraging reusable frameworks and patterns
• Integrate security, automation, and quality controls throughout the SDLC using DevSecOps best practices
• Drive operational excellence, including incident management, root cause analysis, and deployment stability
• Leverage AI-assisted approaches across development, testing, and deployment to reduce operational overhead and improve quality
• Monitor and manage software configuration changes to proactively address data reliability and customer experience issues
• Coordinate sustaining support for multiple data platforms or business processes within a cloud environment
• Perform monitoring, tuning, and optimization of data pipelines to ensure performance, availability, and efficient resource utilization
• Implement and maintain automated testing, validation, and monitoring frameworks for data workflows
• Work within an agile / DevSecOps pod model alongside solution leads, data modelers, analysts, and business partners
• Provide technical expertise to translate complex functional requirements into robust technical designs
• Mentor and support Data Engineers through code reviews, knowledge sharing, and engineering guidance
• Apply domain knowledge of healthcare and enterprise IT trends to inform solution delivery, + Employees living more than 50 miles from an office location, out of state employees, and employees in certain member-facing roles should work with their manager to determine in-office time based on business need.
• For employees with medical conditions that may impact their ability to work in-office, we are committed to engaging in an interactive process and providing reasonable accommodations to ensure their work environment is conducive to their success and well-being. The Company reserves the right to require more presence in the office based on business needs, and requirements are subject to change with periodic reviews., Remote or Hybrid United States Easy Apply 134K-203K Annually Senior level 134K-203K Annually Senior level Artificial Intelligence * Cloud * Computer Vision * Hardware * Internet of Things * Software Lead design and operation of large-scale data pipelines and data APIs. Build Spark/PySpark workflows on Databricks, optimize job performance, manage data quality and observability, and develop MCP servers and AI-agent integrations. Mentor engineers, define standards, support production incidents and on-call rotations, and collaborate with stakeholders to deliver scalable data platform products. Top Skills: Apache IcebergApi GatewayAWSAws LambdaAws Rds/AuroraAzureDatabricksDatadogDbtFastapiFivetranGCPGoogle BigqueryLlms/Ai AgentsMcp ServersMs Sql ServerMySQLOraclePostgresPysparkPythonS3SecretsmanagerSnowflakeSnsSparkSplunkSQLSqs Fusion Risk Management

Senior Data Engineer 24 Days Ago Remote or Hybrid United States 135K-155K Annually Senior level 135K-155K Annually Senior level Professional Services * Software Lead architecture and buildout of a new graph-backed enterprise data platform: design ingestion, graph and relational storage, entity resolution pipelines, temporal models, ETL/ELT pipelines, governance, APIs, and production connectors. Ship scalable graph data models, traversal queries, and platform roadmap while enabling observability, security, and containerized deployments. Top Skills: AirflowAzureCypherDagsterDbtDockerGremlinHelmJavaKubernetesPythonSalesforceServicenowSparqlSQL, Jellyfish

• Requires a bachelor’s degree or equivalent experience.
• Requires a minimum of 5 years of relevant data engineering experience.
• Strong hands-on experience with SQL, including scripting and automation
• Expertise with cloud platforms (Azure preferred) and services such as ADLS, Synapse, and Data Factory
• Hands-on experience with modern data stack tools such as dbt, Snowflake, Databricks, Airflow, or Tidal
• Solid knowledge of data modeling (Data Vault 2.0), data integration, data architecture, warehousing, and data quality
• Experience implementing CI/CD pipelines (e.g., Bitbucket, GitHub)
• Strong understanding of agile delivery methodologies and enterprise cloud integration
• Excellent communication skills with the ability to translate technical solutions to non-technical stakeholders
• Experience in healthcare or regulated environments, including Epic ecosystem exposure in preferred.
• Awareness of data governance, security standards, and production certification processes

9 Days Ago Remote or Hybrid United States 150K-230K Annually Senior level 150K-230K Annually Senior level Big Data * Cloud * Productivity * Software * Database * Analytics * Automation Design, build, and operate Jellyfish’s Databricks Lakehouse and data/AI platform. Build ingestion, transformation, and delivery pipelines; govern data with Unity Catalog; enable BI, agentic analytics, metadata, lineage, and observability. Provide technical leadership, set architecture and standards, mentor peers, and collaborate with cross-functional stakeholders to make Databricks the foundation for analytics and AI. Top Skills: Ci/CdDatabricksDatabricks AppsDatabricks Asset BundlesDatabricks LakehouseDatabricks SqlDatabricks WorkflowsDbtDelta LakeDelta LakeGenieLlmsOntologyPythonRetrieval-Augmented GenerationSQLTerraformUnity Catalog

What you need to know about the Colorado Tech Scene With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

• Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
• Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
• Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
• Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
• Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
• Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

Stellarus, launched in January 2025, is designed to scale innovative healthcare solutions that support customers in creating a health care experience deserving of their family, friends, and neighbors.

Stellarus is part of a family of organizations that is overseen by a nonprofit corporate entity named Ascendiun. The Ascendiun Family of Companies also includes Blue Shield of California and its subsidiary, Blue Shield of California Promise Health Plan and Altais, a clinical services company.

Stellarus’ vision is to empower its customers to create a healthcare experience that is worthy of their family, friends, and neighbors. Stellarus’ objective is to offer innovative, modern, scalable solutions that challenge the health care status quo. This very closely aligns with Blue Shield of California’s vision by using innovation to improve quality, affordability, and experience for members.

To achieve our mission, we foster an environment where all employees can thrive and contribute fully to address the needs of the various communities we serve. We are committed to creating and maintaining a supportive workplace that upholds our values and advances our goals.

Our Values:

At Stellarus, our core values of agility, trust, drive, courage and service shape our approach to developing innovative product offerings. Our Workplace Model: We believe in fostering a workplace environment that balances purposeful in-person collaboration with flexibility - providing clear expectations while respecting the diverse needs of our workforce. Our workplace model is designed around intentional in-person interaction, collaboration, connection, creativity and flexibility