Senior Data Engineer- Dublin & Letterkenny, IrelandExperience, qualification, and soft skills, have you got everything required to succeed in this opportunity Find out below.
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 startCaring.
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.
As aSenior Data Engineer, you will be working with the Provider Growth team and will be responsible for connecting & analyzing existing data assets across the enterprise and building out new data pipelines and ensuring data connectivity with the intent of crafting client-centric qualification & origination strategies.
You will participate in efforts to grow the Provider Growth pipeline and coordinate campaign/outreach activities in support of predicted customer need.
This will involve working with data scientists to support feature engineering that connects and aggregates data in new and innovative ways.
You will work with various data domain experts to understand what data exists and how to maximize and model it for the data science them who will be building predictive models to enhance overall sales strategy effectiveness.
Working Schedule : Full-time position, Monday - Friday with standard working hours.
Careers with Optum offer flexible work arrangements and individuals who live and work in the Republic of Ireland will have the opportunity to split their monthly work hours between our Dublin or Letterkenny Office and telecommuting from a home-based office in a hybrid work model.
Primary Responsibilities of the Senior Data Engineer:
Work with various data domain experts to understand & link what data exists across various domains (Operations, Product, Finance, Value Analytics, etc.)Design data models to efficiently connect data across data domains to support customer targeting analyticsDevelop and maintain data pipelines: Design, build, and manage data pipelines to ensure efficient data flow and integration across various systemsAnalyze large datasets to identify trends, patterns, and actionable insights that support business decision-makingEnsure data accuracy and relevance: Collaborate with data scientists and other cross[1]functional teams to ensure the accuracy and relevance of data used in sales strategiesBridge the gap between raw data and business insights by transforming complex datasets into usable formats for analysisPerform exploratory data analysis (EDA) to support hypothesis generation and business strategyCollaborate with cross-functional teams: Work closely with teams such as Value Analytics, Ops, Product, and Finance to ensure seamless data connectivity and integrationYou will 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 providing development for other roles you may be interested in.
Required Qualifications of the Senior Data Engineer:
Bachelor's Degree (or higher) in Data Engineering, Computer Science, Data Analytics, or a related field or equivalent experienceProven experience in data engineering, including building and maintaining data pipelinesExperience with BI tools (e.g., Tableau, Power BI) for dashboarding and reportingSQL skills for data querying, transformation, and optimizationProficiency in programming languages such as Python or ScalaExperience in Cloud-based technologies (Azure), data migration/automation and data engineering practicesExperience with data integration tools and platformsCommunication skills to convey complex data insights to non-technical stakeholdersPreferred Qualifications of the Senior Data Engineer:
Familiarity with Salesforce and sales operations activitiesUS Healthcare experienceKnowledge of Clinical Solutions, and/or Provider Revenue Cycle Management product and operationsFamiliarity with Optum's Provider technology &/or services solutionsFamiliarity with data warehousing solutions (e.g., Snowflake)Experience working in projects with agile/scrum methodologiesSoft Skills of the Senior Data Engineer:
Excellent analytical and problem-solving skillsAbility to work collaboratively in a team environment