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Senior Data Engineer - Remote at UnitedHealth Group

Senior Data Engineer - Remote

UnitedHealth Group

United States of Americasenior2 weeks ago

Full Timeremote1-3Years
$131,432/year

Job Description

As a Senior Data Engineer, you will play a pivotal role in shaping our data infrastructure and driving innovation in our analytics capabilities. Your expertise will help us harness the power of big data, machine learning, and AI to deliver transformative solutions that enhance decision-making and operational efficiency across the organization. Your day-to-day work will involve designing and implementing robust ETL processes, optimizing data pipelines, and ensuring data quality within our AWS cloud environment. You will leverage your skills in SQL and Python to analyze large datasets, while also collaborating with cybersecurity experts to safeguard our data assets. The tech stack you will be working with includes advanced data engineering tools, big data frameworks, and AI technologies, all aimed at pushing the boundaries of what is possible. You will be part of a dynamic team that thrives on collaboration and continuous learning. We encourage innovation and provide opportunities for professional growth, enabling you to expand your skill set in data analytics and machine learning. Join us in a culture that values forward-thinking solutions and encourages you to tackle new challenges daily. This role is unique because it allows you to be at the forefront of technological advancements in healthcare, where your contributions will have a direct impact on improving lives and health outcomes worldwide. If you are passionate about using data to drive change, this is the perfect opportunity for you.

Responsibilities

Design scalable data pipelines utilizing AWS technologies for seamless data integration. Build robust ETL processes to transform large data sets for analytical purposes. Lead initiatives in implementing AI solutions to enhance data processing efficiency. Architect data models that support advanced analytics and machine learning applications. Drive the integration of cybersecurity measures throughout data engineering workflows. Collaborate with cross-functional teams to optimize SQL queries for performance improvement. Enhance data analytics capabilities by leveraging big data frameworks and tools.

Key Skills

AWS
15%
ETL
15%
SQL
15%
Python
15%
AI
10%

Benefits

Competitive salary and comprehensive health benefits that prioritize your well-being. Flexible work arrangements promoting a healthy work-life balance for all employees. Access to training programs and resources for continuous professional development. Opportunities for career advancement in a fast-paced, innovative environment. Inclusive culture that fosters collaboration and respects diverse perspectives. Unique perks like remote work stipends and team-building events throughout the year.

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