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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** STELLARUS, LLC - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $134,000.0 - $203,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Airflow, Data Analysis, Automation of Tests, Microsoft Azure, Big Data, Cloud Computing, Code Review, Encodings, Databases, Data Architecture, Information Engineering, Data Governance, Data Integration, Data Integrity, Extract Transform Load (ETL), Data Systems, Data Vault Modeling, Github, Systems Development Life Cycle, Software Configuration Management, Software Engineering, SQL Databases, Delivery Pipeline, Snowflake, Containerization, AI Platforms, Bitbucket, Data Pipelines, Devsecops, Databricks - **Published:** July 23, 2026 - **Apply:** https://ecge.fa.us2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1003/jobs/preview/20261360 ## About the Role * 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 ## Description 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 ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market)