Requisition Number: 2344603 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 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'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. Primary Responsibilities: As a senior member of the Cloud Data Engineering team, the candidate should provide: - The technical leadership for all the data engineering efforts on public cloud for the Optum Rx Data Estate scrum team. - Will design and build scalable and cost-effective public cloud (Azure) native solutions as per the business use cases - Should be hands-on engineer with experience in multiple data engineering technologies (Spark/Kafka/ADF/Databricks) - Standard dev-ops technologies and processes (CI/CD- Containers, Jenkins etc.) - As a tech lead, he should be responsible for the deliverables of the team working closely with the product owners and the delivery leads 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: - Engineering Degree in computer science or equivalent experience - 10+ years of Data Engineering experience - 5+ years of Data engineering experience in Spark - 3+ years on Cloud native data engineering technologies - Experience using AI/ML - Technical skill sets: - Experience in Dev Ops and CI/CD - Jenkins, Terraform (Azure) and containers (Docker) - Work experience on Proof of Concepts for AI/ML - Hands-on experience on building data engineering pipelines on Spark/ Data bricks (Azure) - Hands-on experience with stream data ingestion /processing with Spark - Hands-on experience on other Azure native data technology stack - Azure Data factory, Synapse, Snowflake - Exposure to providing ETL solutions for Azure native stack and in Spark - Good exposure on Enterprise Data Lake (Delta Lake) and Data Warehouse concepts Preferred Qualifications: - Experience working with business partners for requirement gathering, scoping, estimation, and execution plan for various capabilities - Experience working in an Agile environment with multiple Scrum and Kanban teams *All employees working remotely 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 $112,700 to $193,200 annually based on full-time employment. We comply with all minimum wage laws as applicable. 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. UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.

Role Description Svitla Systems Inc. is looking for a hands-on Data Engineer with strong expertise in ETL development, Pyspark, and Python to design, build, and operate reliable data transformation pipelines. This role focuses on: - Transforming, validating, and preparing enterprise data for downstream consumption by partner teams. - Ensuring accuracy, performance, and production stability. - Working within an Agile delivery model supporting Data & Analytics initiatives across an R&D IT portfolio. Benefits - Work with #1 winner of the 'Best Place to Work' award! - US and EU projects based on advanced technologies. - Legal IMSS contract and competitive compensation. - Regular performance appraisals to support your growth. - Flexibility in workspace, either remote or in our welcoming office. - Remote work financial support. - Comprehensive medical insurance including family. - Life insurance, maternity policy, family days off. - Christmas Bonus in the amount of 30 days' payment. - Bonuses for recommendations of new employees. - Bonuses for article writing, public talks, other activities. - 15 vacation days, 25% vacations bonus, 11 national holidays. - Personalized learning program tailored to your interests and skill development. - Free tech webinars and meetups organized by Svitla. - Monthly Pantry Vouchers, free office snacks, and drinks. - Fun corporate online/offline celebrations and activities. - Awesome team, friendly and supportive community!

Role Description This is a remote position. We are building a unified financial platform that combines trading, investing, crypto, and everyday spending into a single account. One portfolio, one identity, one system. We are early. Our partner already operates one of the largest professional trading platforms globally and brings real data scale and infrastructure with it. The data layer needed to run a multi-product consumer super app is a different shape, and most of it still needs to be designed, built, and connected to how the company actually makes decisions. This role exists to lead that work. You are the founding data hire. You shape what we measure, how we measure it, and how the entire org makes decisions on data instead of opinions. We are not hiring an analyst to build dashboards on demand. We are hiring the person who designs the decision system that runs the company. You sit between five products that move money at different speeds: - Real-time card spend - T+2 equities - Leveraged CFD execution - On-chain crypto settlement - Stablecoin transfers Every pillar generates data with different shapes and constraints. Your job is to make all of it queryable, trustworthy, and useful, fast. - You define the metric system every team operates on. - You turn raw events into behavioral insight the product team can act on. - You decide what gets measured, how, and what we ignore. - You report directly to the Product Director. Your work shapes prioritization, not just reporting. Qualifications - 5+ years in data analytics, ideally with hands-on experience in fintech, trading, or consumer financial products. - Expert SQL. You write clean transformations, not just ad-hoc queries. - Strong Python for analysis, automation, and workflow compression. - Hands-on experience with modern BI tools (Looker, Mode, Omni, Tableau, or equivalent). - Solid grasp of dimensional modelling and how schemas survive product evolution. - AI fluency. You use LLMs and automation daily to multiply your output. - Track record of translating ambiguous business questions into clean analytical answers, and pushing back when the question itself is wrong. - Comfort operating without a data manager, a defined roadmap, or a finished spec. Benefits - Competitive salary commensurate with experience. - Market standard EOSB and performance bonuses. - Comprehensive health insurance. - Professional development and conference budgets. - Team building events, career mentorship, and strong company culture. - Remote work flexibility.

Role Description - Develop LM/VLM-powered agents that autonomously interface with code, GUI, web tools, and design software to drive generative simulation. - Build agentic systems that synthesize high-quality, diverse physical data by orchestrating simulation, generative models, and interactive tools. - Build data pipelines to curate, generate, and preprocess datasets used for training and evaluating language- and vision-language-based agents. - Collaborate with simulation and infrastructure teams to co-develop APIs, GUIs, and services that enable seamless interaction with physics engines and simulation environments. - Drive innovation by staying at the forefront of LLM agents, autonomous tool use, and generative simulation — and translating cutting-edge research into robust, production-ready systems. - Contribute to the creation of a generative simulation stack that empowers downstream applications in robotics, embodied AI, and physical reasoning. Qualifications - A bold and imaginative vision for a next-generation paradigm of physical data synthesis— combining simulation, generative models, and autonomous agents. - Deep curiosity and strong technical ownership, with a track record of driving complex, open-ended projects from concept to implementation. - Experience with (multimodal) large language models, generative AI tools, agentic software design, GUI automation, program synthesis. - Passion for inventing creative solutions at the edge of AI, simulation, and physical reasoning, with an eagerness to build systems that generate high-fidelity, useful data for embodied intelligence. Requirements - Familiarity with interactive design tools (e.g., CAD software, game engines) or simulation environments (e.g., physics engines, robotics simulators).