Senior Data Engineer - Telecommute

UnitedHealth Group

Atlanta Georgia

United States

Information Technology
(No Timezone Provided)

Combine two of the fastest-growing fields on the planet with a culture of performance, collaboration and opportunity and this is what you get. Leading edge technology in an industry that's improving the lives of millions. Here, innovation isn't about another gadget, it's about making health care data available wherever and whenever people need it, safely and reliably. There's no room for error. Join us and start doing your life's best work.(sm)

As a Senior Data Engineer, you will work cross-functionally with data scientists, data analysts, product managers, and stakeholders to understand business needs and develop, maintain and optimize the data sets, data models and large-scale data pipelines primarily in the Azure Databricks Spark cloud stack used for data science models and visualizations. You will partner with Optum Technology team to drive best practices and set standards for data engineering patterns and optimization. You are a key influencer in data engineering strategy.

This is a unique, high visibility opportunity for someone who wants to have business impact, dive deep into large scale data pipeline and work closely with cross functional team. This position would be fully remote, and report directly to the Director of Data Science.

You'll enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges.

Primary Responsibilities:

  • Design, build, optimize, and manage modern large-scale data pipelines ETL/ELT processing to support data integration for analytics, machine learning features and predictive modelling.
  • Consume data from a variety of sources (RDBMS, APIs, FTPs and other cloud storage) & formats (Excel, CSV, XML, JSON, Parquet, Unstructured)
  • Write advanced / complex SQL with performance tuning and optimization.
  • Identify ways to improve data reliability, data integrity, system efficiency and quality.
  • Participate in architectural evolution of data engineering patterns, frameworks, systems, and platforms including defining best practices and standards for managing data collections and integration
  • Work with data scientists to deploy machine learning models to real-time analytics systems.
  • Design and build data service APIs.
  • Mentor other data engineers and provide significant technical direction by teaching other data engineers how to leverage cloud data platforms

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.

Required Qualifications:

  • Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, Economics or related discipline
  • 3 + years of experience in data engineering, data integration, data modeling, data architecture, and ETL/ELT processes to provide quality data and analytics solutions
  • 3 + years of experience in SQL with designing complex data schemas and query performance optimization
  • 2 + years of experience in Apache Spark (PySpark / Spark SQL)
  • 2 + years of experience in Python

Preferred Qualifications:

  • Experience working with large size data sets using Big Data Frameworks (i.e., Hadoop/EMR/Databricks/Spark/Hive etc.)
  • Experience using Regular Expression, Rest API, NoSQL, Kafka, CI/CD technology, Git
  • Extensive knowledge of data architecture principles (e.g., Data Lake, Databricks Delta Lake, Data Warehousing, etc.)
  • Extensive knowledge of data modelling techniques including slowly changing dimensions, aggregation, partitioning and indexing strategies
  • Ability to independently troubleshoot and performance tune large scale enterprise systems
  • Experience with at least one of the following cloud platforms: (Azure, AWS or GCP)
  • Excellent collaborator with experience working effectively with cross-functional teams such as leadership, product management and engineering, with a willingness to inspire other data engineers, data scientists and analysts
  • Solid communication skills with the ability to communicate technical concepts to both technical and non-technical audiences

Careers with Optum. Here's the idea. We built an entire organization around one giant objective; make health care work better for everyone. So when it comes to how we use the world's large accumulation of health-related information, or guide health and lifestyle choices or manage pharmacy benefits for millions, our first goal is to leap beyond the status quo and uncover new ways to serve. Optum, part of the UnitedHealth Group family of businesses, brings together some of the greatest minds and most advanced ideas on where health care has to go in order to reach its fullest potential. For you, that means working on high performance teams against sophisticated challenges that matter. Optum, incredible ideas in one incredible company and a singular opportunity to do your life's best work.(sm)

Colorado Residents Only: The salary range for Colorado residents is $79,700 to $142,600. Pay is based on several factors including but not limited to education, work experience, certifications, etc. As of the date of this posting, In addition to your salary, UHG offers the following benefits for this position, subject to applicable eligibility requirements: Health, dental, and vision plans; wellness program; flexible spending accounts; paid parking or public transportation costs; 401(k) retirement plan; employee stock purchase plan; life insurance, short-term disability insurance, and long-term disability insurance; business travel accident insurance; Employee Assistance Program; PTO; and employee-paid critical illness and accident insurance.

*All Telecommuters will be required to adhere to UnitedHealth Group's Telecommuter Policy.

Diversity creates a healthier atmosphere: UnitedHealth Group is an Equal Employment Opportunity/Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.

UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.

Job Keywords: Senior Data Engineer, Data Engineering, ETL Tool, ETL, ELT, Data warehousing, Data Integration, SQL, Apache Spark, Spark SQL, Big Data, Python, Hadoop, EMR, Databricks. Spark, Hive, healthcare, pharmacy, PBM, Telecommute, Telecommuter, Telecommuting, Work at Home, Work from Home, Remote

Senior Data Engineer - Telecommute

UnitedHealth Group

Atlanta Georgia

United States

Information Technology

(No Timezone Provided)

Combine two of the fastest-growing fields on the planet with a culture of performance, collaboration and opportunity and this is what you get. Leading edge technology in an industry that's improving the lives of millions. Here, innovation isn't about another gadget, it's about making health care data available wherever and whenever people need it, safely and reliably. There's no room for error. Join us and start doing your life's best work.(sm)

As a Senior Data Engineer, you will work cross-functionally with data scientists, data analysts, product managers, and stakeholders to understand business needs and develop, maintain and optimize the data sets, data models and large-scale data pipelines primarily in the Azure Databricks Spark cloud stack used for data science models and visualizations. You will partner with Optum Technology team to drive best practices and set standards for data engineering patterns and optimization. You are a key influencer in data engineering strategy.

This is a unique, high visibility opportunity for someone who wants to have business impact, dive deep into large scale data pipeline and work closely with cross functional team. This position would be fully remote, and report directly to the Director of Data Science.

You'll enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges.

Primary Responsibilities:

  • Design, build, optimize, and manage modern large-scale data pipelines ETL/ELT processing to support data integration for analytics, machine learning features and predictive modelling.
  • Consume data from a variety of sources (RDBMS, APIs, FTPs and other cloud storage) & formats (Excel, CSV, XML, JSON, Parquet, Unstructured)
  • Write advanced / complex SQL with performance tuning and optimization.
  • Identify ways to improve data reliability, data integrity, system efficiency and quality.
  • Participate in architectural evolution of data engineering patterns, frameworks, systems, and platforms including defining best practices and standards for managing data collections and integration
  • Work with data scientists to deploy machine learning models to real-time analytics systems.
  • Design and build data service APIs.
  • Mentor other data engineers and provide significant technical direction by teaching other data engineers how to leverage cloud data platforms

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.

Required Qualifications:

  • Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, Economics or related discipline
  • 3 + years of experience in data engineering, data integration, data modeling, data architecture, and ETL/ELT processes to provide quality data and analytics solutions
  • 3 + years of experience in SQL with designing complex data schemas and query performance optimization
  • 2 + years of experience in Apache Spark (PySpark / Spark SQL)
  • 2 + years of experience in Python

Preferred Qualifications:

  • Experience working with large size data sets using Big Data Frameworks (i.e., Hadoop/EMR/Databricks/Spark/Hive etc.)
  • Experience using Regular Expression, Rest API, NoSQL, Kafka, CI/CD technology, Git
  • Extensive knowledge of data architecture principles (e.g., Data Lake, Databricks Delta Lake, Data Warehousing, etc.)
  • Extensive knowledge of data modelling techniques including slowly changing dimensions, aggregation, partitioning and indexing strategies
  • Ability to independently troubleshoot and performance tune large scale enterprise systems
  • Experience with at least one of the following cloud platforms: (Azure, AWS or GCP)
  • Excellent collaborator with experience working effectively with cross-functional teams such as leadership, product management and engineering, with a willingness to inspire other data engineers, data scientists and analysts
  • Solid communication skills with the ability to communicate technical concepts to both technical and non-technical audiences

Careers with Optum. Here's the idea. We built an entire organization around one giant objective; make health care work better for everyone. So when it comes to how we use the world's large accumulation of health-related information, or guide health and lifestyle choices or manage pharmacy benefits for millions, our first goal is to leap beyond the status quo and uncover new ways to serve. Optum, part of the UnitedHealth Group family of businesses, brings together some of the greatest minds and most advanced ideas on where health care has to go in order to reach its fullest potential. For you, that means working on high performance teams against sophisticated challenges that matter. Optum, incredible ideas in one incredible company and a singular opportunity to do your life's best work.(sm)

Colorado Residents Only: The salary range for Colorado residents is $79,700 to $142,600. Pay is based on several factors including but not limited to education, work experience, certifications, etc. As of the date of this posting, In addition to your salary, UHG offers the following benefits for this position, subject to applicable eligibility requirements: Health, dental, and vision plans; wellness program; flexible spending accounts; paid parking or public transportation costs; 401(k) retirement plan; employee stock purchase plan; life insurance, short-term disability insurance, and long-term disability insurance; business travel accident insurance; Employee Assistance Program; PTO; and employee-paid critical illness and accident insurance.

*All Telecommuters will be required to adhere to UnitedHealth Group's Telecommuter Policy.

Diversity creates a healthier atmosphere: UnitedHealth Group is an Equal Employment Opportunity/Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.

UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.

Job Keywords: Senior Data Engineer, Data Engineering, ETL Tool, ETL, ELT, Data warehousing, Data Integration, SQL, Apache Spark, Spark SQL, Big Data, Python, Hadoop, EMR, Databricks. Spark, Hive, healthcare, pharmacy, PBM, Telecommute, Telecommuter, Telecommuting, Work at Home, Work from Home, Remote