• Oversee data engineering, reporting, development and delivery of hosted and cloud-based solutions which are secure, performant and scalable. • Collaborate with developers, analysts, and stakeholders to prepare and deliver complex data sets that meet business needs. • Participate in Information Technology strategic, budgeting and project planning functions. • Defines standards, procedures, and methodologies to ensure the security, integrity, resiliency, scalability and performance of enterprise data resources. • Lead DE support, maintenance and change management activities including service levels, efficacy reviews and task/resource scheduling. • Evaluate and adopt third party tools, add-ons, and interfaces that strengthen our product suite or operational efficiency. • Stay abreast of evolving technology, standards and engineering practices that embrace security, quality and automation. • Participate in proactive assessments, lifecycle and capacity management/planning, business continuity and disaster recovery to maintain service levels. • Participate in maintaining system standards, information security, Incident Response and Disaster Recovery plans that adhere to regulatory requirements working within industry standards and the enterprise security posture.

Company Description Nexthink is the leader in digital employee experience management software. The company provides IT leaders with unprecedented insight allowing them to see, diagnose and fix issues at scale impacting employees anywhere, with any application or network, before employees notice the issue. As the first solution to allow IT to progress from reactive problem solving to proactive optimization, Nexthink enables its more than 1,300 customersto provide better digital experiences to more than 18 million employees. Dual headquartered in Lausanne, Switzerland and Boston, Massachusetts, Nexthink has 9 offices worldwide. Job Description The Product Intelligence team serves a critical role by providing business intelligence to the organization: we synthesize data sources across the company, delivering product usage and business insights that directly shape product strategy and decision-making. We are looking for a Senior Data Engineering (Tech Lead) to lead our team of data engineers and to bring your experience and vision in data warehouse design, data modeling, and data visualization. We are seeking an individual with a strong data background but also an AI-first mentality, who can drive our current initiatives to leverage AI for accelerating modeling and dashboarding tasks, as well as exposing our telemetry data to stakeholders across the company in the form of an AI agent and MCP. What you'll do - Partner with the Product Manager to shape the roadmap, refine scope, and define clear, actionable acceptance criteria. - Own the technical architecture for data warehousing, data modeling, and data access patterns. - Lead the team technically to design, implement, deliver, and validate scalable data pipelines and reporting solutions. - Drive the design and evolution of the analytics layer, including semantic modeling and dashboarding within BI tools. - Define and implement an AI-first approach to data, including AI-assisted workflows for modeling, analysis, and dashboard creation. - Architect and deliver an AI-powered interface (agent) that enables stakeholders to access and explore telemetry data in a self-service manner. - Enable integration of telemetry insights into internal tools and workflows by providing and maintaining supporting capabilities (e.g., MCP or equivalent interfaces). - Establish data engineering standards, best practices, and measurable quality indicators to ensure high-quality, maintainable code. - Ensure scalability, reliability, and performance of data platforms, pipelines, and analytics workloads. - Mentor and support data engineers through technical guidance, code reviews, and knowledge sharing. - Promote an agile, iterative engineering culture and actively contribute to team ceremonies. Qualifications Data Engineering Experience - Master's degree (or equivalent) in Computer Science, Engineering, or a related field. - 7+ years of experience as a Data Engineer, including at least 1 year in a Tech Lead or similar leadership role. - Strong expertise in database design, data modeling, and handling both structured and unstructured data. - Strong system design and architectural skills, with the ability to design scalable data platforms. - Proficiency in SQL and Python, with solid experience building and maintaining ETL/ELT pipelines. - Familiarity with modern data stack tools such as dbt, AWS Lambda, Step Functions, Glue, Athena, Redshift, or similar. - Exposure to telemetry data systems and large-scale product analytics. - Experience building internal data platforms or self-service analytics solutions. - Hands-on experience with the AWS cloud platform. - Experience with data visualization tools such as Power BI, QuickSight, Tableau, or similar. - Practical knowledge of DevOps practices, CI/CD pipelines, and tools such as Git. - Experience with containerization and infrastructure tools (e.g., Docker, Terraform, Jenkins). - Proven ability to own projects end-to-end and operate with a high level of autonomy. - Excellent communication and collaboration skills, with fluency in English. AI & Advanced Capabilities - Experience building and deploying AI-powered data systems, including Retrieval-Augmented Generation (RAG) and LLM-based applications. - Familiarity with LLM frameworks (e.g., LangChain, LlamaIndex) and integrating LLM APIs into production workflows. - Experience designing AI agents or intelligent data interfaces (e.g., chat-to-data, NL-to-SQL). - Understanding of semantic data modeling to enable natural language interaction with structured data. - Ability to evaluate, monitor, and scale AI systems, with strong architectural judgment for integrating AI into data platforms. Additional Information We are the pioneers and trailblazers of a global IT Market Category (DEX) that is shaping the future of how the world works, giving our customers' IT Teams total digital visibility across their enterprise. Our innovative solutions integrate real-time analytics, automation, and employee feedback across all endpoints. This enables our IT teams to solve complex technical challenges, create ever more productive workplaces, and deliver happy, satisfied employees in the digital workplace.

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