{"id":1721476,"url":"https://alion.io/job/unitedhealth-group-data-engineer-2","title":"Data Engineer","company":{"id":1043512,"name":"UnitedHealth Group","domain":"unitedhealthgroup.com","url":"https://alion.io/company/unitedhealthgrp","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Radancy","truth_index":{"grade":"B","score":75,"open_postings":66,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-12T06:55:09Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Dublin, Ireland"],"countries":["IE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":59000,"max_usd":145000,"period":"year","method":"role_country_seniority_unknown","sample_n":15},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Airflow","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Data Vault","optional":false},{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"Docker","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Hadoop","optional":false},{"name":"Java","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Scrum","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Vertica","optional":false}],"status":"live","first_seen_at":"2026-09-03T00:00:00Z","employer_posted_date":"2026-09-03","last_verified_at":"2026-10-12T05:22:54Z","board_verified":true,"closed_at":null,"days_open":39,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":39},"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 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 start Caring. Connecting. Growing together.\nAbout the role:\nAt UnitedHealth Group and Optum, we want to make healthcare work better for everyone. This depends on hiring the best and brightest. With a thriving ecosystem of investment and innovation, our business in Ireland is constantly growing to support the healthcare needs of the future.\nOur teams are at the forefront of building and adapting the latest technologies to propel healthcare forward in a way that better serves everyone. With our hands at work across all aspects of health, we use the most advanced development tools, AI, data science and innovative approaches to make the healthcare system work better for everyone.\nCareers 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.\nWhat you will do:\nDesign, build and implement automation processes for production release of data engineering, machine learning and business intelligence processes\nWrite code, and leverage tools, to transform data to incorporate business logic as defined in conjunction with the Optum business and technology partners\nDesign, code, test, document, and maintain high-quality and scalable Big Data solutions\nAnalyze raw data sources, data transformation, structural requirements for new software and application \nMigrate data from legacy systems to new solutions \nDesign conceptional and logical data model and flowcharts \nDefine security and backup strategy for data solutions \nDesign, build and implement real time / near real time data pipelines \nDesign and prototype data monitoring models for pipeline \nWrite technical documentation\nYou 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.\nWhat you will bring:\nProven extensive experience in Data Engineering\nProven experience working with data processing technologies and SQL database platforms\nDemonstrated advanced SQL proficiency\nProven experience working with relational and non-relational database technologies\nProven experience implementing ETL solutions and applying data warehousing, data modeling, and architectural principles within large-scale environments\nDemonstrated working knowledge of public cloud platforms, including Microsoft Azure, Amazon Web Services (AWS), and Google Cloud Platform (GCP), and developing applications within Linux environments\nProven experience working with Hadoop, Snowflake, Vertica, Redshift, Synapse, or similar data platforms\nProven experience utilizing Spark and Databricks to support data processing and machine learning workloads\nProven experience implementing data pipeline orchestration solutions using Apache Airflow, including Airflow operators and hooks\nProven experience designing, implementing, and supporting data applications using Kubernetes and Docker\nProven hands-on experience with Python, with demonstrated experience using Java, Scala, or similar programming languages\nProven experience working within Agile and Scrum delivery environments\nOther useful skills and experience include:\nProven experience developing solutions hosted on major cloud platforms, including Microsoft Azure, Amazon Web Services (AWS), and Google Cloud Platform (GCP)\nProven experience building OLAP cubes and analytical databases\nProven experience working within data warehouse environments\nProven experience working with Apache Kafka\nDemonstrated knowledge of DevOps tools and practices\nDemonstrated knowledge of Agile development methodologies\nDemonstrated knowledge of Kimball and Data Vault data modeling methodologies\nProven experience working with dbt (Data Build Tool)\nPlease note you must currently be eligible to work and remain indefinitely without any restrictions in the country to which you are making an application. Proof will be required to support your application.\nAt 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.\nDiversity creates a healthier atmosphere: Optum is an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to gender, civil status, family status, sexual orientation, disability, religion, age, race, and membership of the Traveller community, or any other characteristic protected by law. Optum is a drug-free workplace. © 2026 Optum Services (Ireland) Limited. 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