Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 115,000 colleagues serve people in more than 160 countries. JOB DESCRIPTION: We’re focused on helping people with diabetes manage their health with life-changing products that provide accurate data to drive better-informed decisions. We’re revolutionizing the way people monitor their glucose levels with our new sensing technology. Working at Abbott At Abbott, you can do work that matters, grow, and learn, care for yourself and family, be your true self and live a full life. You’ll also have access to: - Career development with an international company where you can grow the career you dream of. - Employees can qualify for free medical coverage in our Health Investment Plan (HIP) PPO medical plan in the next calendar year - An excellent retirement savings plan with high employer contribution - Tuition reimbursement, the Freedom 2 Save student debt program and FreeU education benefit - an affordable and convenient path to getting a bachelor’s degree. - A company recognized as a great place to work in dozens of countries around the world and named one of the most admired companies in the world by Fortune. - A company that is recognized as one of the best big companies to work for as well as a best place to work for diversity, working mothers, female executives, and scientists. THE OPPORTUNITY This Data Engineer position can work out remotely within the U.S. As a Data Engineer, you will contribute to the design, development, and maintenance of data pipelines and cloud-based data solutions that support analytics and reporting needs. You’ll work with scalable data platforms to ingest, transform, and model data while collaborating closely with engineering, product, and analytics teams to deliver reliable data solutions. This role focuses on hands-on development and technical execution, with opportunities to learn modern data technologies and grow your impact over time. The technology stack includes Databricks, AWS (Redshift, S3, Lambda, DynamoDB), Spark, and Python. We’re looking for someone curious, collaborative, and passionate about building quality data solutions that help improve patient outcomes. What You’ll Work On - Design, build, and maintain data pipelines to support analytics, reporting, and downstream applications - Develop and maintain data ingestion solutions on AWS using AWS-native services - Build and optimize data models using Databricks and AWS data stores such as Redshift, RDS, and S3 - Integrate and assemble large datasets to meet business and analytical requirements - Extract, transform, and load (ETL/ELT) data into approved tools and frameworks - Configure and maintain integration tools, databases, data warehouses, and analytical systems - Process structured and unstructured data into formats suitable for analysis, partnering with analysts as needed - Collaborate with engineering and technology teams to align data solutions with business needs - Monitor and improve data pipeline performance, reliability, and scalability - Write clean, well-documented code and follow established engineering best practices - Contribute to technical documentation and support existing architecture patterns - Participate in peer code reviews and team design discussions - Work cross-functionally with Engineering, Product, QA, and Analytics teams - Stay current with data engineering tools and industry trends and share learnings with the team Qualifications - Bachelors Degree in Computer Science, Information Technology or other relevant field. - At least 1-3 years of recent experience in Software Engineering, Data Engineering or Big Data - Ability to work effectively within a team in a fast-paced changing environment - Knowledge of or direct experience with Databricks and/or Spark. - Software development experience, ideally in Python, PySpark, Kafka or Go, and a willingness to learn new software development languages to meet goals and objectives. - Knowledge of strategies for processing large amounts of structured and unstructured data, including integrating data from multiple sources - Knowledge of data cleaning, wrangling, visualization and reporting - Ability to explore new alternatives or options to solve data mining issues, and utilize a combination of industry best practices, data innovations and experience - Familiarity of databases, BI applications, data quality and performance tuning - Excellent written, verbal and listening communication skills - Comfortable working asynchronously with a distributed team Preferred - Knowledge of or direct experience with the following AWS Services desired S3, RDS, Redshift, DynamoDB, EMR, Glue, and Lambda. - Experience working in an agile environment - Practical Knowledge of Linux Apply Now Learn more about our health and wellness benefits, which provide the security to help you and your family live full lives: www.abbottbenefits.com Follow your career aspirations to Abbott for diverse opportunities with a company that can help you build your future and live your best life. Abbott is an Equal Opportunity Employer, committed to employee diversity. Connect with us at www.abbott.com, on Facebook at www.facebook.com/Abbott and on Twitter @AbbottNews and @AbbottGlobal #software The base pay for this position is $61,300.00 – $122,700.00In specific locations, the pay range may vary from the range posted. JOB FAMILY: Product Development DIVISION: ADC Diabetes Care LOCATION: United States of America : Remote ADDITIONAL LOCATIONS: United States > California : Remote WORK SHIFT: Standard TRAVEL: Yes, 10 % of the Time MEDICAL SURVEILLANCE: Not Applicable SIGNIFICANT WORK ACTIVITIES: Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day), Keyboard use (greater or equal to 50% of the workday) Abbott is an Equal Opportunity Employer of Minorities/Women/Individuals with Disabilities/Protected Veterans. EEO is the Law link - English: http://webstorage.abbott.com/common/External/EEO_English.pdf EEO is the Law link - Espanol: http://webstorage.abbott.com/common/External/EEO_Spanish.pdf

• Design, build, and maintain scalable, efficient data pipelines and systems following modern data engineering best practices • Evaluate and prototype new tools and technologies, assessing their risks and benefits • Build and maintain scalable data pipelines and models using Databricks, dbt, and SQL (PostgreSQL) • Develop robust data solutions leveraging AWS services (Redshift, RDS, S3, Glue, Lambda, DMS, CloudWatch) • Implement data transformations and integrations using Python and Java • Ensure reliability, performance, and maintainability of end-to-end data systems • Implement infrastructure-as-code using Terraform for managing cloud resources • Monitor and optimize system health and performance using CloudWatch and Splunk • Mentor junior engineers and code reviews • Clearly communicate technical topics to both technical and non-technical audiences • Collaborate with cross-functional stakeholders to define data requirements and deliver solutions in agile environments

Bounteous is a premier end-to-end digital transformation consultancy dedicated to partnering with ambitious brands to create digital solutions for today’s complex challenges and tomorrow’s opportunities. With uncompromising standards for technical and domain expertise, we deliver innovative and strategic solutions in Strategy, Analytics, Digital Engineering, Cloud, Data & AI, Experience Design, and Marketing. Our Co-Innovation methodology is a unique engagement model designed to align interests and accelerate value creation. Our clients worldwide benefit from the skills and expertise of over 4,000+ expert team members across the Americas, APAC, and EMEA. By partnering with leading technology providers, we craft transformative digital experiences that enhance customer engagement and drive business success. We are seeking a Data Solutions Lead to drive growth through client-facing solutioning, pre-sales support, and technical delivery leadership in our Consumer Business Unit, which supports clients in the Retail, Restaurant, Hospitality, and Consumer Goods verticals. This is a highly visible, commercially focused role, with success measured by influence on pipeline growth, the ability to support and close complex Data opportunities, and drive delivery excellence in execution. The role includes an expectation of approximately 50% billable involvement in client programs, with the balance being dedicated to overseeing early-stage client engagements, pursuit support, and data solution development continuity. The Data Solutions Lead will operate directly in new business pursuits and client engagements, shaping solutions with clients, translating business needs into credible, executable architectures, and leading teams to deliver those solutions. Information Security Responsibilities - Promote and enforce awareness of key information security practices, including acceptable use of information assets, malware protection, and password security protocols - Identify, assess, and report security risks, focusing on how these risks impact the confidentiality, integrity, and availability of information assets - Understand and evaluate how data is stored, processed, or transmitted, ensuring compliance with data privacy and protection standards (GDPR, CCPA, etc.) - Ensure data protection measures are integrated throughout the information lifecycle to safeguard sensitive information Role and Responsibilities - Partner closely with Sales and Client Partners to drive data solutions growth through client-facing solutioning and active pursuit support across the Consumer BU verticals - Lead data solution design in client conversations, shaping technical approaches, scope, and value propositions aligned to client business outcomes - Experience leading client-facing data transformation initiatives or consulting engagements. - Operate as the technical authority for data architecture, guiding engineering teams and influencing executive stakeholders. - Serve as the primary data solution credibility lead in Consumer pursuits, influencing deal direction, supporting pipeline progression, and helping close complex opportunities - Support proposal development, including defining technical approaches, delivery models, estimates, and value cases for data engagements - Facilitate workshops with client stakeholders and data teams to define and plan solutions in support of pursuits and billable client programs - Translate solution designs from pursuits into clear, actionable handoffs for delivery teams to ensure alignment between what is sold and what is delivered - Maintain an active billable role at approximately 50%, providing hands-on architectural oversight and delivery involvement to support solution continuity and delivery excellence - Engage directly with client stakeholders and data teams, building trusted relationships and using data science strategies to develop solutions - Collaborate with multidisciplinary teams across data engineering, analytics, cloud, and AI to ensure proposed solutions are feasible, scalable, and aligned to Bounteous capabilities - Available for frequent travel to client sites for meetings, workshops, and pitches Preferred Qualifications - Significant experience in data consulting or professional services environments, with a strong emphasis on client-facing solutioning and pre-sales support - Demonstrated success supporting and closing data opportunities through technical leadership, architecture ownership, and active participation in sales pursuits - Experience supporting clients in at least one of the Consumer BU verticals (Retail, Restaurant, Hospitality, and Consumer Goods). - Experience supporting both B2C and B2B client programs strongly preferred - Strong background architecting real-world data solutions using modern platforms such as Databricks and or Snowflake, with experience across at least one major cloud provider such as AWS, Azure, or GCP - Ability to clearly articulate technical decisions, trade-offs, and execution considerations to both technical and non-technical stakeholders - Comfort operating in a commercially-driven role where success is measured by growth impact, pipeline influence, and revenue contribution - Strong executive presence and communication skills, with the ability to lead client conversations independently and partner closely with Sales and Client Partner leaders - Experience operating in fast-moving consulting environments with limited structure, including comfort remaining hands-on when needed We invite you to stay connected with us by subscribing to our monthly job openings alert here. Bounteous is proud to be an equal opportunity employer. Bounteous does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, national origin, veteran status, or any other status protected under federal, state, or local law. Bounteous is willing to sponsor eligible candidates for employment visas. For employment opportunities based in Canada: Bounteous is an equal opportunity employer. In accordance with the Ontario Human Rights Code and Accessibility for Ontarians with Disabilities Act, 2005, accommodation will be provided at any point throughout the hiring process, provided the candidate makes their accommodation needs known to Bounteous. We welcome applications from all qualified candidates. *Must be legally eligible to work in Canada. #LI-Remote

• Building Data LakeHouse: In the Senior Data Engineer II role, you will design, build, and operate robust data lakehouse solutions utilizing open table formats like Apache Iceberg. Your focus will be on delivering a scalable, reliable data lakehouse with optimized query performance for a wide range of analytical workloads and emerging data applications. • Pipeline and Transformation: Integrate with diverse source systems and construct scalable data pipelines. Implement efficient data transformation logic for both batch and streaming data, accommodating various data formats and structures. • Data Modeling: Analyze business requirements and profile source data to design, develop, and implement robust data models and curated data products that power reporting, analytics, and machine learning applications. • Data Infrastructure: Develop and manage a scalable AWS cloud infrastructure for the data platform, employing Infrastructure as Code (IaC) to reliably support diverse data workloads. Implement CI/CD pipelines for automated, consistent, and scalable infrastructure deployments across all environments, adhering to best practices and company standards. • Monitoring and Maintenance: Monitor data workloads for performance and errors, troubleshooting issues to maintain high levels of data quality, freshness, and adherence to defined SLAs. • Collaboration: Collaborate closely with Data Services and Data Science colleagues to drive the evolution of our data platform, focusing on delivering solutions that empower data users and satisfy stakeholder needs throughout the organization.