Senior Data Engineer - CANADA at UnitedHealth Group Canada

Burnaby, British Columbia, Canada -

Full Time

Start Date

Immediate

Expiry Date

01 Apr, 26

Salary

164400.0

Posted On

01 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Python, SQL, Data Lake, Data Warehouse, Data Migration, Cloud Integrations, GitHub, Big Data, Spark, Hadoop, Kafka, Data Security, Machine Learning, API Technologies, Healthcare Knowledge

Industry

Hospitals and Health Care

Description

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 inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. As a Fortune 5 business, we’re one of the world’s leading healthcare companies. There are no limits here on the resources you’ll have or the challenges you’ll encounter. We have been supporting global healthcare systems from Ireland and the UK for more than 20 years, building a dynamic and diverse team of more than 2,100 talented individuals. With a continued record of growth and stability, we're on the constant lookout for fresh talent to join our expanding teams. The Stratus Imaging Analytics team is focused on building our Analytics solution for our Enterprise Imaging portfolio. The team is based in mainly in Ireland, with some resource in Canada. The products have customers in Europe, Canada, and the United States. We are looking for a Senior Data Engineer that is focused on delivery of value to our customers, who will also have a passion for innovation and improvement. Are you someone who has a passion for building solutions that will help enable improvement in healthcare through data and analytics? You’ll enjoy the flexibility to work remotely * Primary Responsibilities: Design, develop and maintain data pipelines, to ingest, transform, and store healthcare data from various enterprise data sources Analyze raw data sources, data transformation, structural requirements for new software and applications Identify, design and implement internal process improvements, such as Data encryption Data de-identification to ensure data security Role-based data access Automating manual processes Optimizing data delivery Tuning and optimizing data processes for greater scalability, etc. Design, build and implement automation processes for production release of data engineering, machine learning and business intelligence processes Code, test, document and maintain high-quality and scalable Big Data solutions Define security and backup strategy for data solutions Build and implement batch and near real time data pipelines Help to ensure successful deployment of newly implemented data solutions Works with less structured, more complex issues Serves as a technical leader and mentor to others 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: High School Diploma/GED (or higher) 6+ years of experience in Data Engineering 2+ years of experience in Python (Scala/Java) 2+ years of experience in SQL, including query optimization, performance tuning and handling large datasets 2+ years of hands-on experience with Data Lake, Data Warehouse optimization techniques and Medallion Architecture 2+ years of experience with knowledge of job workflow and token management 2+ years of experience in data migration, cross-cloud integrations (AWS/Azure is a bonus) and cloud networking 1+ years of proven experience with GitHub and cloud environment tools 1+ years of hands-on experience in developing big data processes using big data tools – Spark, Hadoop, Kafka, etc. Preferred Qualifications: Bachelor’s Degree in Computer Science, Engineering, a related field or equivalent industry experience Professional GCP Data Engineer certification Experience in leading teams/people management and mentoring Data Visualization tools and technology experience Experience with Metadata management and Data Catalog management process, tools and technologies Experience with Spark in data processing and machine learning processes Hands-on experience with related/complementary open-source software platforms and languages (e.g. Java, Angular, Scala Linux, Apache, Unix) Experience with API technologies Healthcare industry knowledge and experience with exposure to EDI, HIPAA, HL7 and FHIR integration standards *All employees working remotely will be required to adhere to UnitedHealth Group’s Telecommuter Policy Canada Residents Only: The salary range for Canada residents is $79,200 to $164,400 per year. Pay is based on several factors including but not limited to education, work experience, certifications, etc. 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.

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Responsibilities

The Senior Data Engineer will design, develop, and maintain data pipelines to ingest, transform, and store healthcare data. They will also identify and implement internal process improvements and ensure successful deployment of newly implemented data solutions.