Sr. Data Engineering Consultant - Remote

Unitedhealth Group Inc
Houston, United States of America
7 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 164K

Job location

Remote
Houston, United States of America

Tech stack

Java
Airflow
Business Analytics Applications
Azure
Big Data
Cloud Computing
Cloud Database
Continuous Integration
Data Architecture
Information Engineering
ETL
Data Warehousing
Linux
DevOps
Distributed Systems
Python
Machine Learning
Performance Tuning
SQL Databases
Workflow Management Systems
Data Processing
Sql Optimization
Snowflake
Spark
GIT
Information Technology
Kafka
Data Pipelines
Databricks

Job description

  • 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.

Requirements

  • 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.

Benefits & conditions

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.

About the company

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.

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