• Diseñar, desarrollar y mantener pipelines de datos robustos y escalables. • Implementar procesos ETL/ELT para la integración y transformación de datos provenientes de múltiples fuentes. • Desarrollar soluciones utilizando Databricks y Apache Spark. • Construir y optimizar arquitecturas Lakehouse y Data Lake. • Garantizar la calidad, consistencia y disponibilidad de los datos. • Trabajar en conjunto con equipos de Data Analytics, BI, Data Science y negocio. • Participar en iniciativas de optimización de performance, monitoreo y gobernanza de datos. • Colaborar en el diseño de soluciones cloud alineadas con las mejores prácticas de ingeniería de datos. • Documentar desarrollos, procesos y soluciones implementadas.

• Develop, maintain, and optimize data ingestion, processing, and transformation pipelines. • Work on structuring and managing Bronze, Silver, and Gold data layers. • Implement data integration and data provisioning processes using Denodo. • Work on data modeling for analytical and enterprise environments. • Ensure data quality, integrity, and governance. • Support business and technology teams in building data-driven solutions. • Monitor and optimize the performance of loads and queries in BigQuery environments. • Participate in architectural decisions and best practices related to data engineering.

Requisition Number: 2355969 At UnitedHealthcare, we're simplifying the health care experience, creating healthier communities and removing barriers to quality care. The work you do here impacts the lives of millions of people for the better. Come build the health care system of tomorrow, making it more responsive, affordable and optimized. Ready to make a difference? Join us to start Caring. Connecting. Growing together You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week. Primary Responsibilities: - Design, build, and maintain scalable data pipelines and platforms using advanced programming languages, and cloud data warehouses (e.g., Redshift, Snowflake) - Develop resilient data architectures across data warehouses, lakes, and streaming environments to support enterprise analytics and reporting - Ensure enterprise data security, governance, quality, and standardization across all data and analytics solutions - Lead the end to end delivery of analytics data products, from design and development through production support and optimization - Collaborate with business stakeholders and engineering partners to enable business intelligence, advanced analytics, and machine learning solutions - Mentor and guide a team of data engineers, driving best practices, technical excellence, and continuous improvement You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Required Qualifications: - Bachelor's or Master's in Computer Science, Engineering, or a related field - 8+ years of relevant experience - Languages: Solid expertise in Python and/or Scala/Java - SQL & Data Modeling: Advanced SQL skills for data manipulation and performance tuning - Big Data/Distributed Systems: Experience with Apache Spark, Databricks, Snowflake or Kafka - Cloud Platforms: Exhaustive experience of working with Azure cloud services - Data Pipelines: Designing, building, and optimizing ETL/ELT pipelines - Data Architecture: Experience with data modeling, warehousing (e.g., Snowflake), and ETL/ELT best practices - Tools & DevOps: Familiarity with orchestration tools (Airflow), CI/CD, Git, and Linux - Soft Skills & Leadership: Solid communication, collaboration, and the ability to mentor junior engineers *All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy. Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $91,700 to $163,700 annually based on full-time employment. We comply with all minimum wage laws as applicable. Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. 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. UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.

Role Description Everforth ECS is seeking a Sr. Data and AI Engineer to work remotely. The Sr. Data and AI Engineer will be a key member of our high performing team. They will provide critical support in product discovery using their data expertise to merge technical, business, and customer needs into achievable objectives and driving the completion of those objectives. - Identify challenges and improvements to process, organizational practices, technical innovation, and culture. - Lead cross-functional team members to solution and deliver improvements. - Apply technical expertise across multiple disciplines to share best approaches and solutions with customers. - Improve complex strategic solutions and meet enterprise needs. - Show experiences identifying strategic improvement opportunities, creating interest and buy-in, and executing on vision. Salary Range: $160,000 - $185,000 Qualifications - Must be a US Citizen - Must be able to obtain a Public Trust Clearance - Bachelor's degree - 10+ years of IT experience including experience in design, analysis, and implementation of large-scale, complex data architectures - 5+ years of Data experience in evaluating, architecting, and building AI and Generative AI tools - Serve as a central facilitator in helping the organization to understand their current drivers and challenges - Support Business Development efforts through maturing strategic solution ideas and aligning them with customer needs - Ability to develop a roadmap that links the deployment of architectural capabilities within the organization to address inherent data challenges faced by the organization - Ability to work hands-on with developers to deliver solutions and provide customer-facing support and solutioning - Strong ability to communicate technical solutions with multiple stakeholders at different leadership levels to build relationships, provide guidance, and explain business value of technical solutions - Experience mentoring data engineers, establishing best practices, providing code review, and helping team to understand business value of solutions - Experience working in Agile environment leveraging advanced design and engineering best practices - Building solutions that make use of data to improve business insights, help with operational decisions, and support performance management - Knowledge of Data Management and Data Architecture concepts, Data Warehousing and Big Data tools, Data Analytics and applicable knowledge of Data Science concepts and tools - Experience with Azure and AWS Cloud native data and AI technologies - Experience with Databricks, SnowFlake, Palantir, and other large data platforms Benefits - General Description of Benefits