Title: Data Engineer Location: Remote - United States Requisition number: 2352233 Job category: Technology Primary location: San Antonio, TX Overtime status: Exempt Travel: No Job Description: Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. You will enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges. Primary Responsibilities: - Design and maintain scalable data models for large-scale systems ensuring optimal performance - Develop and manage robust ETL/ELT pipelines for data ingestion and transformation from heterogeneous sources - Apply strong SQL skills for complex queries and performance tuning across large datasets - Develop and maintain Python-based solutions for data processing, automation, and integration tasks - Build and optimize workflows on Azure Cloud services and Databricks to support enterprise data needs - Implement security and compliance measures for handling PHI/PII data in accordance with HIPAA or similar regulations - Support AI/ML workflows by provisioning infrastructure and collaborating with data scientists for predictive analytics integration - Work closely with cross-functional teams to gather requirements and deliver data solutions while effectively communicating technical concepts to stakeholders - Ensure data quality, integrity, and audit readiness across all systems - Create interactive dashboards and reports using Power BI or Tableau to deliver actionable insights - Utilize advanced data modeling techniques to design efficient and scalable architectures - Stay updated with emerging technologies in data engineering and cloud platforms to drive process improvements and best practices for data lifecycle management You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear directions on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Required Qualifications: - High School Diploma/GED - 3+ years of overall experience in Data Engineering or related field Preferred Qualifications: - Strong expertise in SQL and data modeling for large-scale systems - Strong experience in ETL/ELT frameworks - Proven experience integrating data from heterogeneous source systems - Strong experience with Databricks, Python, Azure cloud services, Power BI or Tableau - Good experience with Azure data factory - Familiarity with AI/ML frameworks and supporting infrastructure for data science workflows - Experience working with PHI/PII and restricted client data in compliance with HIPAA or similar regulations - Strong communication, stakeholder management, and cross-functional collaboration skills - All Telecommuters 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 $72,800 to $130,000 annually based on full-time employment. We comply with all minimum wage laws as applicable. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 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. #RPO #GREEN

Title: Senior Data Engineer Location: United States Employees can work remotely Full-time Business Segment: Operations & Technology Compensation: USD 115,000 - USD 145,000 - yearly Job Description: NBCUniversal is one of the world's leading media and entertainment companies. We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our global theme park destinations, consumer products, and experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, NBC Sports, Telemundo, NBC Local Stations, Bravo, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through our powerhouse film and television studios, including Universal Pictures, DreamWorks Animation, and Focus Features, and the four global television studios under the Universal Studio Group banner, and operate industry-leading theme parks and experiences around the world through Universal Destinations & Experiences, including Universal Orlando Resort, home to Universal Epic Universe, and Universal Studios Hollywood. NBCUniversal is a subsidiary of Comcast Corporation. Visit www.nbcuniversal.com for more information. Our impact is rooted in improving the communities where our employees, customers, and audiences live and work. We have a rich tradition of giving back and ensuring our employees have the opportunity to serve their communities. We champion an inclusive culture and strive to attract and develop a talented workforce to create and deliver a wide range of content reflecting our world. Job Description As part of the global Operations & Technology organization, our Data & Analytics (D&A) team is at the forefront of developing data and analytics strategies to future-proof NBCUniversal's diverse portfolio. This spans broadcast and cable networks, news and sports channels, film studios, theme parks, and digital platforms. Our mission is to empower business units with trusted, scalable data solutions that drive strategic decision-making. We are seeking a Senior Data Engineer who will play a critical role in designing, building, and evolving our data platforms and pipelines. This role is ideal for experienced data engineers who combine strong hands-on technical skills with architectural thinking and technical leadership. Responsibilities: - Lead the design, development, and scaling of complex data pipelines and platforms. - Partner with business leaders and engineering teams to translate requirements into production-ready data solutions. - Own end-to-end data solutions including modeling, performance, reliability, and cost optimization. - Apply cloud-native design patterns to ensure scalability, security, and maintainability. - Implement CI/CD, testing, monitoring, and data quality best practices. - Provide technical mentorship to junior team members by leading design reviews, conducting thoughtful code reviews, and sharing best practices to raise the overall quality and consistency of data engineering solutions. - Actively participate in agile ceremonies and collaborate with platform and IT teams. Qualifications - 5+ years of experience in data engineering, demonstrating a foundational understanding of data modeling, ETL/ELT principles, and data warehousing. - A Bachelor's degree in computer science, Data Science, Statistics, Informatics, Information Systems, Mathematics, Computer Engineering, or a related quantitative discipline is preferred. - Experience with data management fundamentals, data storage principles, and cloud-based data warehouses such as cloud Storage (AWS S3, GCP Cloud Storage, Azure Blob Storage, Iceberg), GCP BigQuery, Snowflake, or similar platforms. - Proficiency in building data pipelines using Python/SQL. - Demonstrate experience with workflow orchestration tools like Airflow, or a willingness to learn. - Experience in applying CI/CD principles and processes to data engineering solutions. - General understanding of cloud data engineering design patterns and use cases Desired Characteristics: - Strong problem-solving skills and ability to operate in ambiguous environments. - Demonstrated interest in mentoring and developing other engineers. Additional Requirements: - Fully Remote: This position has been designated as fully remote, meaning that the position is expected to contribute from a non-NBCUniversal worksite, most commonly an employee's residence. This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks. Salary range: $115,000 - $145,000 We are accepting applications for this position on an ongoing basis. Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision. NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran, you have the right to request a reasonable accommodation if you are unable or limited in your ability to use or access nbcunicareers.com as a result of your disability. You can request reasonable accommodations by emailing AccessibilitySupport@nbcuni.com. For LA County and City Residents Only: NBCUniversal will consider for employment qualified applicants with criminal histories, or arrest or conviction records, in a manner consistent with relevant legal requirements, including the City of Los Angeles' Fair Chance Initiative For Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, where applicable.

- Scala, big data Spark Requirement - Functional Programming: Proficiency with immutability, higher-order functions (map, flatMap, filter), and pattern matching is essential for writing efficient Spark code. - Object-Oriented Programming (OOP): Familiarity with classes, traits, and abstract classes to organize complex data pipelines. - Type Safety: Understanding Scala’s static typing helps catch errors at compile-time, which is critical for long-running big data jobs. - Build Tools: Experience using sbt (Scala Build Tool) or Maven to manage project dependencies and package JAR files At Zensar, we’re “experience-led everything”. We are committed to conceptualizing, designing, engineering, marketing, and managing digital solutions and experiences for over 130 leading enterprises. We are a company driven by a bold purpose: Together, we shape experiences for better futures. Whether for our clients, our people, or the world around us, this belief powers everything we do. At the heart of our culture is ONE with Client - a set of four core values that reflect who we are and how we work: One Zensar, Nurturing, Empowering, and Client Focus. Part of the $4.8 billion RPG Group, we’re a community of 10,000+ innovators across 30+ global locations, including Milpitas, Seattle, Princeton, Cape Town, London, Zurich, Singapore, and Mexico City. Explore Life at Zensar and join us to Grow. Own. Achieve. Learn. to be the best version of yourself. We believe the best work happens when individuality is celebrated, growth is encouraged, and well-being is prioritized. We are an equal employment opportunity (EEO) and affirmative action employer, committed to creating an inclusive workplace. All qualified applicants will be considered without regard to race, creed, color, ancestry, religion, sex, national origin, citizenship, age, sexual orientation, gender identity, disability, marital status, family medical leave status, or protected veteran status.

• Define the multi-year roadmap for our data ingestion platform, data lake, and telemetry systems • Own the end-to-end IoT telemetry strategy—instrumenting data collection from diverse solar inverters, and EV chargers across residential and commercial projects • Collaborate with engineering to design scalable ETL/ELT pipelines and data storage solutions for high-frequency time-series data • Partner with Technical Operations to standardize data models across multiple original equipment manufacturers (OEMs) • Develop the telemetry and control interface requirements for our Virtual Power Plant (VPP) program • Translate business requirements from asset managers and analysts into technical specifications for data engineers • Establish SLAs for data availability, latency, and accuracy across the fleet