Title: Data Engineer - Optum Advisory Board - Remote Location: Eden Prairie, Minnesota Requisition number: 2361893 Job category: Technology Primary location: Eden Prairie, MN 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 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. At Advisory Board, part of Optum Insight, we've helped health care industry leaders work smarter and faster by providing provocative insights, data and analytics, and practical tools to support execution for over 40 years. Our core products include research and analytics membership, events, expert support, custom research, and sponsorship. Learn more about Advisory Board. The Quantitative Insights team powers the industry-leading data and analytics capabilities core to Advisory Board's value proposition. In this position within Advisory Board's data team, you will design, develop, test, and deploy enterprise ready data pipelines and architectures to support the Advisory Board's data and analytics research technology projects, ranging from small enhancements to major new projects. You will develop scalable and maintainable ETL processes, ensure data quality/security, and collaborate with data scientists to optimize analytics infrastructure. The position will play a critical role in all data technology initiatives as we continue this amazing journey of modernizing and innovating our data and technology ecosystem in support of our new and exciting business transformation. Data solutions you build will power analytics tools used by providers across the country to improve efficiency and deliver better care. You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week. Primary Responsibilities: - Pipeline Development: Design, build, and maintain scalable, reliable, and efficient ETL/ELT pipelines using AWS Glue, Python, and SQL. Automate manual processes and optimize PySpark jobs for big data - Data Lake/Warehouse Management: Architect and manage data lakes (AWS S3), data warehouses (Redshift, S3 Tables) and relational databases (PostgreSQL, SQL Server). Use data modeling best practices to ensure data is accurate, accessible, and organized for efficient reporting and analysis - Cloud Infrastructure: Utilize AWS services like ECS and Lambda for data ingestion and orchestration tasks, involving a variety of external systems (Kafka, Snowflake, Databricks, custom API, etc.) - Data Quality & Security: Implement monitoring and troubleshooting measures to ensure data integrity and security, including IAM policies and CloudWatch logging - Collaboration: Work closely with data scientists and analysts to understand healthcare data and business requirements, and support data-driven decision-making - Analytics Development: Build data sets and dashboards, configure RLS and user permissions, and optimize dashboard performance on Amazon Quick Suite. Configure parameters for interop with web app embedding - CI/CD: Leverage GitHub for version control, code review, and automated deployment of pipelines across environments 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: - 8+ years of solid experience in data engineering using Python or PySpark - 5+ years of experience with AWS including Glue, Lambda, IAM, Redshift - 3+ years developing and optimizing PySpark jobs with proven big data experience - 3+ years of best practices in data analysis and modeling - Experience optimizing the architecture for big data, query performance, ease of use, and data governance - Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement - Experience working with Cloud technologies (AWS preferred) - Proven solid expertise in SQL and data modelling with relational databases like SQL Server, Postgres etc. Preferred Qualifications: - Experience in Amazon Quick Suite developing datasets and dashboards with support for web app embeddings - Understanding of health care claims data, including Medicare and commercial datasets - Proven eagerness and willingness to learn new technologies - Proven solid analytical, problem solving and decision-making skill - Demonstrated depth of health care knowledge and expertise - Proven written and oral communication skills *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 $91,700 to $163,700 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 Pollen, Inc., D/B/A C2FO seeks a Senior Data Engineer II for Kansas City, MO, with the option to work remotely from anywhere within the US. Essential Duties: - Lead the design and implementation of C2FO’s data architecture, pipelines, and storage solutions. - Data Architecture & Development: Architect and implement complex data systems and pipelines that meet business requirements. - Data Integration: Lead the development of scalable and efficient data processing frameworks. - Performance Optimization: Monitor and enhance data pipeline performance to ensure high availability and reliability. - Collaboration: Collaborate with cross-functional teams to define and achieve strategic data objectives. - Data Governance & Security: Implement data quality standards, governance frameworks, and security measures to ensure compliance with regulatory requirements. - Mentorship/Leadership: Provide technical leadership, mentoring, and support to junior data engineers and team members. - Innovation & Best Practices: Stay updated on emerging trends and technologies in data engineering and advocate for their adoption where applicable. Qualifications - Bachelor’s degree in Computer Science, Data Engineering, or a related field. - 10 years of progressive experience, including: - Data Modeling, designing and implementing BI solutions to support advanced data-driven decision-making in complex systems. - 6 years of experience in data engineering or a similar role, with proven expertise in building large-scale data pipelines. - Demonstrated proficiency in programming languages like Python, Java, expertise in SQL and database systems. - Experience with distributed systems and big data tools. - Hands-on experience with cloud platforms. - Strong evidence of developing advanced analytics and visualization solutions using Power BI and other reporting tools. - Experience with Data Architecture & Modeling using tools like AWS Redshift, DBT, and other modern data stack technologies. - Experience with ETL/ELT Processes: Designing, building, and optimizing scalable ETL/ELT pipelines. - Experience leveraging AWS Cloud services to build, deploy, and maintain analytics infrastructure. - Demonstrated track record of partnering with cross-functional teams and business leaders to understand requirements. - Experience developing and implementing standardized governance processes. - Demonstrated track record of establishing and leading specialized chapter groups focused on analytics practices. - Experience with designing and delivering training sessions on key data tools. - Experience with facilitating workshops and office hours to promote best practices in software development life cycle (SDLC) and CI/CD pipelines. - Strong evidence of collaboration with IT and DevOps teams for BI solution deployment. Benefits - Comprehensive benefits package. - Flexible work options for work/life balance. - Volunteer time off. - More details available on the company website. Commitment to Diversity and Inclusion As an Equal Opportunity Employer, we value diversity and equality, empowering our team members to bring their authentic selves to work every day. Our goal is to create a workplace that reflects the communities we serve and our global, multicultural clients. We do not discriminate based on race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment decisions are based on qualifications, merit, and business needs. Please visit this link to apply.

Role Description AWS Healthcare Data Engineer 100% Remote Qualifications - 8+ years of hands-on data engineering experience with strong focus on AWS + Databricks environments. - Proven track record of migrating PostgreSQL workloads from AWS to modern lakehouse platforms. - Databricks Certified Data Engineer (Associate or Professional). - Experience with healthcare data and regulatory formats including X12 837, HL7, EBCDIC files, etc. - Deep expertise in data masking, governance frameworks, and working in HIPAA-regulated environments. - Familiarity and working knowledge in adhering to CI/CD processes and practices in a cloud ecosystem. - Proficiency in PySpark, SQL, Delta Lake, and data transformation in Databricks. - Solid understanding of data ingestion from AWS (S3, Glue, Lambda) into Databricks. Requirements - Familiarity with FHIR, X12 837, HL7, or other clinical data standards. - Experience with Unity Catalog and Lakehouse governance frameworks. - Knowledge of Agile methodologies and CI/CD practices for data pipelines. - This role is healthcare domain-focused, and prior experience working with payers, providers, or healthcare clearinghouses is highly desirable. - This is a remote position. Benefits - 401(k) matching - Dental insurance - Health insurance

Role Description Join a team that keeps mining moving. At FLSmidth, we’re looking for mechanically skilled professionals to join our Pumps, Cyclones & Valves (PCV) group as a Field Service Technician. If you’re someone who knows your way around heavy equipment, isn’t afraid to get your hands dirty, and wants to build a solid career with a respected global OEM—this might be the job for you. You'll work on site at mine operations across Canada, helping install, commission, and troubleshoot some of the toughest, most reliable equipment in the business. This is a remote role (based in Eastern Canada, ideally Val-d'Or or Rouyn Nouranda), with frequent travel. Job Scope: - Provide hands-on mechanical support during installations, commissioning, maintenance, and troubleshooting of FLSmidth pumps, cyclones, and valves. - Assist mine site personnel in getting the most out of their equipment—improving uptime, performance, and wear life. - Support our sales team by identifying opportunities to upgrade or replace competitor equipment with FLS solutions. - Perform basic process evaluations like pump sizing and cyclone simulations (training provided if needed). - Deliver customer training on safe use, maintenance, and performance tips for our PCV products. - Prepare clean and professional field reports documenting your work and recommendations. Qualifications - 10+ years of mechanical experience, preferably in mining, heavy industry, or rotating equipment. - A college diploma or degree in a technical field is an asset, but not required. - Hands-on experience working with slurry pumps, cyclones, valves, or similar equipment. - Strong troubleshooting skills and a knack for solving mechanical issues under pressure. - Ability to work independently, communicate well with clients and teammates, and represent the company professionally on site. - Bilingual (English/French) is required. - Proficiency with basic tools like Microsoft Outlook, Word, and Excel. Requirements - Comfortable traveling frequently—expect 50–75% travel across Canada. Benefits - Competitive pay with performance-based incentives. - RRSP matching program. - Full health and dental benefits. - Generous time off (vacation, sick leave, flexible start/stop). - Long-term job stability with a company that’s been around for 140+ years. - Opportunities for technical training, advancement, and growth. - Supportive, safety-first culture with real-world impact. Travel - Travel is expected in this role. Volumes will vary based on the requirements of the role but 50% to 75% of the time should be expected.