Who We Are At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward – always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities. The Role Are you ready to dive headfirst into the captivating world of data engineering at Kyndryl? As a Data Engineer, you'll be the visionary behind our data platforms, crafting them into powerful tools for decision-makers. Your role? Ensuring a treasure trove of pristine, harmonized data is at everyone's fingertips. As a Data Engineer at Kyndryl, you'll be at the forefront of the data revolution, crafting and shaping data platforms that power our organization's success. This role is not just about code and databases; it's about transforming raw data into actionable insights that drive strategic decisions and innovation. In this role, you'll be engineering the backbone of our data infrastructure, ensuring the availability of pristine, refined data sets. With a well-defined methodology, critical thinking, and a rich blend of domain expertise, consulting finesse, and software engineering prowess, you'll be the mastermind of data transformation. Your journey begins by understanding project objectives and requirements from a business perspective, converting this knowledge into a data puzzle. You'll be delving into the depths of information to uncover quality issues and initial insights, setting the stage for data excellence. But it doesn't stop there. You'll be the architect of data pipelines, using your expertise to cleanse, normalize, and transform raw data into the final dataset—a true data alchemist. Armed with a keen eye for detail, you'll scrutinize data solutions, ensuring they align with business and technical requirements. Your work isn't just a means to an end; it's the foundation upon which data-driven decisions are made – and your lifecycle management expertise will ensure our data remains fresh and impactful. So, if you're a technical enthusiast with a passion for data, we invite you to join us in the exhilarating world of data engineering at Kyndryl. Let's transform data into a compelling story of innovation and growth. Your Future at Kyndryl Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won’t find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here. Kyndryl currently does not require employees to be fully vaccinated against COVID-19, however, if you are hired to work at a client, customer, or partner location, you may be required to show proof of vaccination to align with their respective COVID-19 vaccination policies. Those who believe they are eligible may apply for a medical or religious accommodation prior to the start of employment. Who You Are You’re good at what you do and possess the required experience to prove it. However, equally as important – you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused – someone who prioritizes customer success in their work. And finally, you’re open and borderless – naturally inclusive in how you work with others. Required Skills, Experience and Circumstances: • Minimum of 5+ years of experience working as a Data Engineer and/or in cloud modernization • Expertise in data mining, data storage and Extract-Transform-Load (ETL) processes • Experience in data pipelines development and tooling, e.g., Glue, Databricks, Synapse, or Dataproc • Experience with both relational and NoSQL databases, PostgreSQL, DB2, MongoDB • Excellent problem-solving, analytical, and critical thinking skills • Ability to manage multiple projects simultaneously, while maintaining a high level of attention to detail • Communication Skills: Must be able to communicate with both technical and non-technical colleagues, to derive technical requirements from business needs and problems Preferred Skills and Experience: • Degree in a scientific discipline, such as Computer Science, Software Engineering, or Information Technology • Experience in Data Modelling, to create conceptual model of how data is connected and how it will be used in business processes • Professional certification, e.g., Open Certified Technical Specialist with Data Engineering Specialization • Cloud platform certification, e.g., AWS Certified Data Analytics – Specialty, Elastic Certified Engineer, Google Cloud Professional Data Engineer, or Microsoft Certified: Azure Data Engineer Associate • Understanding of social coding and Integrated Development Environments, e.g., GitHub and Visual Studio Compensation: The compensation range for the position in the U.S. is $88,680 to $168,480 based on a full-time schedule. Your actual compensation may vary depending on your geography, job-related skills and experience. For part time roles, the compensation will be adjusted appropriately. The pay or salary range will not be below any applicable state, city or local minimum wage requirement. There is a different applicable compensation range for the following work locations: California (San Francisco Bay Area): $106,440 to $202,200 California (All Other): $97,560 to $185,280 Colorado: $88,680 to $168,480 Massachusetts: $88,680 to $185,280 New York City: $106,440 to $202,200 Washington: $97,560 to $185,280 Washington DC: $97,560 to $185,280 This position will be eligible for Kyndryl’s discretionary annual bonus program, based on performance and subject to the terms of Kyndryl’s applicable plans. You may also receive a comprehensive benefits package which includes medical and dental coverage, disability, retirement benefits, paid leave, and paid time off. Note: If this is a sales commission eligible role, you will be eligible to participate in a sales commission plan in lieu of the annual discretionary bonus program. Applications will be accepted on a rolling basis. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Being You Diversity is a whole lot more than what we look like or where we come from, it’s how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we’re not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you – and everyone next to you – the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That’s the Kyndryl Way. What You Can Expect With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter – wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed. Get Referred! If you know someone that works at Kyndryl, when asked ‘How Did You Hear About Us’ during the application process, select ‘Employee Referral’ and enter your contact's Kyndryl email address.

• Meeting with data product and AI teams to discuss the data contract, requirements, and objectives • Assisting the data quality team with data cleanup, issue tracking, profiling, and validations • Meeting with data pipeline teams to map out data transformations, data flows, and load validations for building Data Products • Collaborating with Data Product and AI teams to develop data interfaces for Data Products • Developing data integration workflows to stage, transform, and build Data Products • Developing and testing SQL queries in Snowflake to support integration code • Coding in modern data integration tools • Creating REST APIs to support data interfaces • Developing Reporting Semantic Models to support Data Product interfaces • Participating in team meetings and design sessions to plan and status project tasks.

Role: Data Engineer Location: Remote Full Time We are Growers, We are Wholesalers, We are Producers, We Are Budtenders, We are Retailers, We are Partners, and We are Hiring As a Data Engineer on our Technology team, you’ll help build and support the data foundation that keeps Holistic running. You’ll design and improve how we capture information, connect with external systems, and make sure our data is clean, reliable, and easy to use. Your work will help teams across the company make smarter decisions, solve problems faster, and keep things running efficiently. Your Impact: - Work with Ops and BI teams to build and improve data capture processes. - Create and maintain ETL pipelines that move data smoothly between systems. - Integrate external platforms through secure APIs and keep data in sync. - Build and tune Postgres databases to keep performance strong and data clean. - Turn business needs into clear analytics, dashboards, and reporting. - Look for ways to make our data processes faster, more reliable, and easier to scale. - Keep documentation organized so the team can easily follow systems and integrations. Your Strengths: - Tech background with at least 3 years working in software or data engineering. - Solid Postgres skills — building tables, writing queries, and keeping things running smoothly. - Comfortable working in AWS (RDS, Redshift, Glue/Athena, S3, Lambda/ECS) and building/maintaining ETL pipelines. - Experience integrating external systems through APIs and developing backend services (bonus points if you’ve worked with .NET) - A collaborative mindset, good communication skills, and the ability to handle sensitive information with professionalism If we are EMPATHETIC, HONORABLE & ACCOUNTABLE And we grow ourselves and business with GRIT then we will be Why Join Us: Holistic Industries offers a comprehensive benefits package, including competitive base pay, medical, dental, and vision coverage. We also offer a team member discount in our stores, a Health Savings Account, pet insurance, and a 401(K) with a company match. Additional benefits include company-paid short term and long-term disability, life and AD&D insurance and mental health and urgent care services. Team Members can also take advantage of our referral program and generous paid time off (PTO).

Requisition Number: 2351293 For those who want to invent the future of health care, here's your opportunity. We're going beyond basic care to health programs integrated across the entire continuum of care. 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. 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: - Design, develop, and maintain scalable data pipelines using Python, PySpark, and other modern programming languages to support both batch and streaming workloads - Build and optimize data processing frameworks on cloud platforms such as Databricks or Snowflake, ensuring performance, reliability, and cost efficiency - Design and implement robust data models, including transactional (OLTP) and dimensional (OLAP) schemas, to support analytics, reporting, and application integration - Develop high quality SQL code including complex queries, stored procedures, and views, with a focus on performance tuning and efficient data access patterns - Create and manage workflow orchestration using Apache Airflow or similar tools, ensuring reliable scheduling, dependency management, and monitoring - Implement and enforce data governance and metadata standards through tools such as Microsoft Purview, including data lineage, classification, cataloging, and security policies - Build automated data quality and validation frameworks to ensure accuracy, completeness, and reliability of production datasets - Collaborate with cross functional teams including data architects, analysts, scientists, and business stakeholders to understand requirements and deliver scalable, well designed data solutions - Lead technical design sessions and code reviews, promoting engineering best practices, reusability, and maintainability - Support cloud infrastructure and DevOps practices, including CI/CD pipelines, version control, testing automation, and environment management - Monitor and troubleshoot production data pipelines, proactively addressing issues, performance bottlenecks, and system failures - Contribute to the evolution of the enterprise data platform, recommending tools, frameworks, and architectures to improve scalability and efficiency 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: - 7+ years of experience in data engineering, software engineering, or similar disciplines - Hands-on experience with Databricks or Snowflake - Experience with orchestration tools such as Apache Airflow - Experience working with cloud ecosystems (Azure preferred; AWS/GCP acceptable) - Advanced SQL skills and experience with OLTP and OLAP data modeling - Solid understanding of modern data warehousing, data lake, and ELT/ETL design patterns - Solid programming expertise in Python, PySpark, or similar languages - If you are offered this position, you will be required to provide extensive personal information to obtain and maintain a suitability or determination of eligibility for a Confidential/Secret or Top Secret security clearance as a condition of your employment - United States Citizenship Preferred Qualifications: - Healthcare industry experience, including claims, clinical, FHIR, HL7, or provider data - Experience with containerization (Docker, Kubernetes) for data workloads - Experience supporting machine learning workflows or analytical data science pipelines - Familiarity with data governance tools, especially Microsoft Purview - Knowledge of distributed computing concepts and performance tuning *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. OptumCare 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. OptumCare is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.