Senior Data Engineering Analyst

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.

Functions may include database architecture, engineering, design, optimization, security, and administration; as well as data modeling, big data development, Extract, Transform, and Load (ETL) development, storage engineering, data warehousing, data provisioning and other similar roles. Responsibilities may include Platform-as-a-Service and Cloud solution with a focus on data stores and associated eco systems. Duties may include management of design services, providing sizing and configuration assistance, ensuring strict data quality, and performing needs assessments. Analyzes current business practices, processes and procedures as well as identifying future business opportunities for leveraging data storage and retrieval system capabilities. Manages relationships with software and hardware vendors to understand the potential architectural impact of different vendor strategies and data acquisition. May design schemas, write SQL or other data markup scripting and helps to support development of Analytics and Applications that build on top of data. Selects, develops and evaluates personnel to ensure the efficient operation of the function.

Primary Responsibilities:

• Design and implement robust data pipelines using Azure Data Factory, Databricks, and other Azure services to ensure the timely and accurate delivery of data to stakeholders
• Develop and manage data warehousing solutions using Snowflake and Delta Lake
• Design and implement robust, scalable, and high-performance data architectures and models to support various business needs
• Create and optimize ETL processes to ensure efficient data ingestion, transformation and loading
• Work closely with data scientists, analysts, and business stakeholders to understand data requirements and deliver solutions
• Optimize database performance and query execution to enhance data processing speed
• Ensure data security and compliance with relevant data protection regulations
• Maintain comprehensive documentation of data processes, architectures, and workflows
• Implement and monitor data quality and governance processes to ensure data accuracy and consistency
• Provide guidance and mentorship to junior data engineers, fostering a culture of continuous learning and improvement
• Basic, structured, standard approach to work
• Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Required Qualifications:

• 4+ years of experience with Azure, Databricks, Datafactory and Spark
• 4+ years of experience with solid programming skills in languages such as Python, Java, or Scala
• 4+ Proficiency in SQL and experience with relational databases (e.g., Oracle, MySQL, PostgreSQL)
• Proven excellent problem-solving and analytical skills
• Solid communication and collaboration abilities
• Ability to work independently and as part of a team

Preferred Qualifications:

• Certification in Microsoft Azure (e.g., Azure Data Engineer Associate)
• Knowledge of Big Data Framework (e.g., Hadoop, Spark, Kafka, Hive, Hbase)
• Knowledge of data modeling tools and techniques
• Knowledge of real-time data processing and streaming technologies
• Knowledge of other cloud platforms (AWS, GCP) 
• Knowledge of Machine Learning and AI framework 
• Familiarity with data warehousing solutions on cloud (e.g., Snowflake, Delta Lake)

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.