Data Engineer – ETL, SQL & Databricks

Round 1: Online Aptitude & Coding Test → Round 2: Technical Interview (ETL concepts, Databricks, Python/PySpark) → Round 3: HR Interview (fit, motivation, culture)

UnitedHealth Group promotes a collaborative and inclusive environment where employees are encouraged to innovate and grow. The company offers clear career progression, regular learning sessions, and a healthy work‑life balance supported by flexible timings and remote‑friendly policies.

UnitedHealth Group’s interview process typically starts with a timed online aptitude and coding test, followed by a technical interview focusing on ETL concepts, Databricks, and Python/PySpark. The final HR round assesses cultural fit, communication, and motivation. Candidates find the technical rounds moderately challenging but fair, with emphasis on problem‑solving and real‑world data scenarios.

Bachelor's degree (B.E./B.Tech) in any engineering or related discipline; minimum 60% aggregate; graduating batch 2025‑2027; no active backlogs at the time of joining; strong logical and analytical aptitude.

UnitedHealth Group is a global leader in health and well‑being services, operating through a network of subsidiaries that deliver innovative solutions to patients, providers, and payers. With a presence in over 130 countries, the company combines technology, data analytics, and clinical expertise to improve health outcomes and reduce costs. Its Indian operations, especially in Hyderabad, serve as a hub for data‑driven initiatives that support the broader mission of delivering affordable, high‑quality health care. The Hyderabad office houses a vibrant community of engineers, analysts, and domain experts who collaborate on large‑scale data platforms. UnitedHealth Group invests heavily in cloud modernization, AI‑enabled analytics, and secure data pipelines, making it an attractive destination for fresh talent eager to work on cutting‑edge technologies. The company’s culture emphasizes continuous learning, mentorship, and a strong focus on impact – every line of code contributes to better health decisions for millions of people. **Role Summary** As a Data Engineer, you will be part of the data platform team responsible for designing, building, and maintaining end‑to‑end ETL pipelines that ingest, transform, and store massive volumes of health‑care data. You will work closely with data architects, analysts, and product owners to ensure data reliability, scalability, and compliance with industry standards. **Key Responsibilities** 1. Design and develop scalable ETL workflows using Python, PySpark, and Spark SQL on Databricks. 2. Migrate legacy on‑prem ETL jobs (DataStage) to Azure‑based cloud architecture. 3. Implement data quality checks, monitoring, and alerting mechanisms. 4. Optimize data pipelines for performance and cost efficiency on Azure. 5. Collaborate with data scientists to provide clean, curated datasets for analytics. 6. Participate in code reviews, documentation, and knowledge‑sharing sessions. 7. Ensure compliance with HIPAA and other data‑privacy regulations. 8. Contribute to data‑warehouse design and schema evolution. 9. Automate deployment using CI/CD pipelines. 10. Stay updated with emerging data‑engineering tools and best practices. **Tech Stack**: Azure Databricks, Azure Data Lake Storage, DataStage, Python, PySpark, Spark SQL, SQL, Git, CI/CD (Azure DevOps), Docker. **Growth Path**: Freshers can expect a structured onboarding program, followed by mentorship from senior engineers. Performance‑based promotions can lead to roles such as Senior Data Engineer, Data Platform Lead, or Architecture Specialist within 2‑4 years. **Why Join UnitedHealth Group?** The company offers exposure to real‑world health‑care data at scale, competitive compensation, and a culture that values work‑life balance, diversity, and continuous upskilling. Joining now positions you at the forefront of digital health transformation, where your work directly influences patient outcomes worldwide.