Title: Senior Data Engineer Location: Remote, United States Requisition number: 2352697 Job category: Technology Primary location: Seattle, WA Overtime status: Exempt Travel: No Job 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. You will enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges. Primary Responsibilities: - Work on architecture, design and engineering in modernization of legacy Data Ingestion, ETL and Database to new technologies in the Public Cloud (Azure), Big Data and API Space under guidance from Sr. Engineers - Solve the hard problems with the team, including setting patterns and practices and building frameworks. Heavy hands-on code and build. Work on the technology transformation from our legacy Data and Analytic platforms to a Big Data Cloud based Modern Software paradigm - Understand security threats and patterns comprehensively and ensure adherence to all regulatory initiatives. HIPPA, PHI, PII, locational data restrictions, contractual etc. - Stay abreast of leading-edge technologies in the industry evaluating emerging software technologies - Work collaboratively with all business areas to assess unmet/new business needs and solutions - Create a startup mentality to accelerate the introduction of new capabilities and transform teams - Avid supporter of the Open-Source software community - Excellent time management, communication, decision making, and presentation skills - Display a strong desire to achieve and attain high levels of both internal and external customer satisfaction - Design, develop, and deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AI You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear directions 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 or equivalent - 2+ years of experience working on commercially available software and/or healthcare platforms as a Data Engineer - 1+ years of experience with some of the modern relational databases - 1+ years of experience developing solutions hosted within public cloud providers such as Azure or AWS or private cloud/container-based systems using Kubernetes/OpenShift Preferred Qualifications: - Skilled at optimizing SQL statements - Experience with Data warehousing services preferably Snowflake - Subject matter expert on Cloud technologies preferably Azure and Big Data ecosystem - Experience in using Modern Software Engineering and product development tools including Agile / SAFE, Continuous Integration, Continuous Delivery, DevOps etc. - Strong experience of operating in a quickly changing environment and driving technological innovation to meet business requirements - Experience building Big Data solutions on public cloud (Azure) - Experience building data pipelines on Azure with skills Azure Data factory, Kafka and Kafka Streams, App services, Az Functions - Experience developing RESTful Services in .NET, Java or any other language - Experience with DevOps in Data Engineering - Ability to establish repeatable processes, best practices and implement version control software in a Cloud team environment - All Telecommuters will be required to adhere to UnitedHealth Group's Telecommuter Policy. 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. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. 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. UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. #RPO #GREEN

Title: Data Architect Job ID Number RQ219322 Washington, District of Columbia, US Category Information Technology Employment Type Full Time, Part Time Business Unit GDIT Responsibilities for this Position Location: Any Location / Remote Full Part/Time: Part time Job Req: RQ219322 Type of Requisition: Pipeline Clearance Level Must Currently Possess: None Clearance Level Must Be Able to Obtain: None Public Trust/Other Required: NACI (T1) Job Family: Data Science and Data Engineering Job Qualifications: Skills: Code Pipeline, Data Analysis, Data Science Certifications: None Experience: 7 + years of related experience US Citizenship Required: No Job Description: GDIT is hiring a Data Architect to provide data management, analytic, and visualization support for our program with HRSA Organ Procurement Transplant Network - Patient Safety. The program's mission is to support the Organ Procurement and Transplantation Network (OPTN) in safeguarding patient safety and ensuring consistent, effective oversight of member performance and policy compliance across the national transplant system. This mission advances by enabling rigorous monitoring, case review, committee support, and facilitation of compliance standards that uphold regulatory requirements and protect public health. These functions collectively strengthen the integrity, accountability, and reliability of the U.S. organ transplantation system. Position is for part-time employment with GDIT and will work remote. Duties include: - Conduct high-level data interpretation and analysis of medical data using R and PowerBi - Develop and test innovative data analysis and statistical methods or applications to enhance insight of Patient Safety program performance. - Provide technical assistance in data management, analysis, and visualizations to HRSA and field staff. - Prepare written summaries and presentations that reflect the results of the data analysis and present findings to agency leadership - Build data dashboards in various platforms including Excel and Business Intelligence platforms - Support automation of data pipelines - Liaise with stakeholders across different tasks/departments - Manage unstructured patient level data and workflows to prepare for meaningful data analysis - Develop methods, processes, or checks to assess and improve the quality of Patient Safety data across the data life cycle from reporting, entry, access, extraction, and use. Qualifications: Required: - Education: BA/BS with 7 years of relevant experience OR Master's degree in Statistics, Data Science, Data Analytics, Health Informatics, or related field of study - A minimum of 5 years' experience in data analysis and data science with a background in statistics, another quantitative discipline, or computer science. - Understanding of data management principles using R, Power Query and/or SQL - Proficiency in data wrangling (querying/connecting, transposing, merging, filtering, aggregating, cleaning) of large complex datasets using at least one of R, PowerBi, SQL, - Proficiency in building data models using Power Query or similar - Ability to create quantitative analytics tools, visualizations and applications in more than one of the following platforms: Excel, PowerBI, MicroStrategy, Tableau, R Studio/R Shiny, Python/Jupyter - Expert user of Microsoft Excel, Power Query, and PowerPoint - Experience with Machine Learning methods and AI Highly Desired: - Familiarity with health data, public health, or population health. - Experience in scripting using RStudio for data management and data visualization purposes - Knowledge of methods in data science, modeling and/or machine learning - Experience working with or for a US government agency, including State Department - Experience working with big datasets and/or patient level data - Capable of creating geospatial analytic products using RStudio or QGIS Skills and Attributes: - Superb interpersonal skills and ability to work effectively as a team member - Strong verbal communication skills; must be comfortable and effective working with diverse audiences including technical staff, international staff, and others. - Ability to interpret stakeholder concerns and translate them into analytical questions. - Ability to work independently, including exploring new lines of investigation with minimal supervisory guidance - Organized, intuitive, efficient and well-documented coding skills - Excellent analytical and writing skills - Exceptional attention to detail - Passionate about making impact in global health - Effective oral and written communication skills to communicate assignments and requests - Ability to multitask and effectively manage competing priorities Location:Remote #GDITFedHealthJobs #GDITHealth GDIT IS YOUR PLACE At GDIT, the mission is our purpose, and our people are at the center of everything we do. Growth: AI-powered career tool that identifies career steps and learning opportunities Support: An internal mobility team focused on helping you achieve your career goals Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off Flexibility: Full-flex work week to own your priorities at work and at home Community: Award-winning culture of innovation and a military-friendly workplace OWN YOUR OPPORTUNITY Explore a career in program management at GDIT and you'll find endless opportunities to grow alongside colleagues who share your passion for the mission and delivering results. The likely salary range for this position is $59,500 - $80,500. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range. Scheduled Weekly Hours: 20 Travel Required: None Telecommuting Options: Remote Work Location: Any Location / Remote Additional Work Locations: Total Rewards at GDIT: Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year. Paid leave and paid holidays are prorated based on the employee's date of hire. The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most. We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.

Role Description As the next Team Leader, you won’t just be managing workflows—you’ll be a vital mentor and strategist, guiding a team of Data Processors who handle critical prescription (RX) data. We are looking for a results-oriented leader who thrives in a high-performance environment and is ready to oversee high-volume operations with empathy and precision. If you are a C1-level communicator with a proven track record of inspiring teams to meet strict accuracy and SLA targets, your next career move starts here. Work Setup: Remote - Philippines Type of Contract: Full-Time Schedule/Hours: 8 AM – 5 PM EST, Mon–Fri (Night Shift) Equipment: Company-Provided Job Summary: The Team Leader is responsible for leading and managing a team of representatives to ensure the delivery of exceptional customer experiences. - Provide effective supervision and set clear performance goals aligned with organizational objectives. - Manage a team performing high-accuracy data entry of RX information into the ABS system. - Ensure the team successfully handles a high-volume workload of ~400 RX/day within strict 24-hour SLA timelines. - Drive "first-time accuracy" strategies to prevent costly production errors and remakes. - Mentor and motivate team members to enhance their skills while fostering a collaborative environment. - Monitor SLAs and KPIs, analyzing team metrics to identify and implement productivity improvements. - Collaborate with cross-functional teams to streamline digital portal workflows and resolve operational challenges. - Coordinate with the CSR team for escalations and regularly communicate with clients as needed. Qualifications - Minimum of 1 year in a leadership or supervisory role, preferably in a call center environment. - At least 3 years of experience in a role equivalent to the representatives being supported (Data Entry/Processing). - C1 English proficiency level with strong verbal and written communication skills. - Strong understanding of customer service and technical support principles, with proficiency in CRM and data processing tools. - Proven ability to work within a process-driven environment with defined SOPs and SLAs. - Strong problem-solving, decision-making, and interpersonal skills to interact with stakeholders at all levels. Requirements - You have a proven ability to lead and inspire a team to achieve performance targets. - You have a results-oriented mindset focused on driving operational excellence and staying updated with industry trends. - You maintain a positive, empathetic, and professional attitude toward colleagues and customers at all times. Benefits - Competitive Compensation - HMO Coverage: Activated 1st day and free dependents (one upon regularization and another after a year of service). - Life insurance and a retirement savings program with company matching. - Paid time off plus birthday leave. - Access to skills training and personal/professional development programs.

Role Description We're hiring a Senior to Staff-level Data Engineer to build and evolve the data layer that powers our grid analytics products. This is a hands-on data engineering role. You'll design pipelines, write transformations, and ship data that downstream consumers — data scientists, product engineers, and analysts — depend on daily. - Design, build, and maintain scalable data pipelines that transform and serve data for analytics and platform features - Ensure data quality, reliability, and observability across the pipelines and models you own - Collaborate with Data Science, Product Management, Software Engineering and Design to understand domain requirements and translate them into robust data structures and systems - Establish data engineering standards — modelling conventions, testing practices, documentation, and observability - Identify and address data technical debt, particularly where poor abstraction is creating complexity downstream - Mentor other engineers on data modelling, pipeline design, and transformation architecture Qualifications - 5+ years of data engineering experience with demonstrated impact at Senior or Staff level - Strong experience building and maintaining production data pipelines at scale - Hands-on experience designing layered transformation architectures (staging, intermediate, mart patterns) in production - Deep knowledge of modern data stack technologies (orchestration, transformation, storage, and streaming) and the Data Engineering lifecycle - Solid data modelling fundamentals — dimensional modelling (Kimball), relational theory, and a clear sense of when to apply different techniques - Experience with dbt or similar transformation frameworks - Solid software engineering fundamentals: version control, testing, code review, CI/CD - Fluency with AI-assisted development tools and workflows - Experience working closely with downstream consumers and designing data that serves their needs - A track record of bringing structure and clarity to complex or messy data landscapes Requirements - Experience in energy, utilities, or grid technology - Experience building data products with defined consumers, SLAs, and quality contracts - Time-series data or operational analytics experience - Background in data mesh principles or domain-oriented data architecture - Experience with distributed systems or stream processing - Experience with modern data orchestration tools (Airflow, Dagster, Prefect) - Cloud data infrastructure depth (AWS, GCP, or Azure) Benefits - Competitive salary and equity package - Remote-first, with head office in Sydney - A talented team of engineers, data scientists, and power systems specialists working on hard problems that matter