About the role: Data Engineers are a critical part of the IDEXX Global Sales and Service Analytics organization, responsible for building and maintaining the data infrastructure that powers analytical products, AI agents, and data visualizations used by stakeholders from Sales Professionals to Executive Leadership across global locations. This role sits at the intersection of data engineering and AI, contributing directly to the pipelines, governance frameworks, and platforms that drive business decisions and product development.
Join a highly collaborative and dynamic team that is building at the frontier of what modern data engineering looks like. You'll work with a modern tool stack, contribute to AI-enabled products and pipelines, and operate in an environment where your work has direct visibility across the organization. You will learn and teach a lot, tackle technically exciting work, and make an already strong team even better. This position will require 2 days onsite per week in our Westbrook, ME headquarters.
What can you expect? You'll join a team that builds and maintains robust, scalable data pipelines that power Tableau dashboards, AI agents, and a variety of downstream reporting platforms. Our data engineering team serves as the governance hub for our analytical team, owning data architecture, conducting technical code reviews, and providing guidance to a team of analytical developers. You'll work within a tightly constructed data model designed to ensure that the data sources we build are scalable, thoughtful, and leveraged consistently across our full suite of products. AI is at the center of how we operate, from our pipelines and visualizations to new product releases, and you'll be actively contributing to the development of AI-enabled products, pipelines, and governance platforms.
What do you need to succeed? Proficiency in SQL and Python is essential, as these are the core languages used to build and maintain our data pipelines and infrastructure. Beyond that, you'll need hands-on experience or strong foundational knowledge in the tools and technologies that define how we work. Our pipelines are built using dbt, orchestrated with Dagster, and version-controlled in GitHub with CI/CD managed through GitHub Actions. We work extensively in AWS as our core cloud infrastructure and engage with Databricks to apply LLMs within our data pipelines. You'll also work with Snowflake Cortex and GitHub Copilot to build and deploy agents, and leverage Claude as our enterprise AI platform. Beyond the technical stack, success in this role requires strong collaboration instincts, a commitment to data governance and code quality, and a willingness to operate in an environment where AI is not just a tool, it's a core part of how we build.
What are our desired skills and experiences? You might not check every box, but if you bring the right technical foundation and mindset, we want to talk to you. We're looking for someone with strong analytical instincts, intellectual curiosity, and a genuine enthusiasm for AI and modern data tooling. The ability to collaborate across technical and non-technical stakeholders, a bias toward automation and scalability, and a commitment to clean, well-governed data are the qualities that tend to define success on our team.
Primary Duties and Responsibilities
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Designs and implements scalable, reliable data pipelines written in SQL and Python using dbt and Dagster, supporting downstream consumers including Tableau dashboards, AI agents, and reporting platforms.
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Writes clean, well-documented SQL and Python code that adheres to team standards, contributing to a codebase managed in GitHub with CI/CD pipelines handled through GitHub Actions.
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Maintains and contributes to a tightly constructed data model, ensuring data sources are scalable, well-governed, and consistently leveraged across the organization's suite of products.
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Builds and manages CI/CD pipelines using GitHub Actions, ensuring efficient and reliable deployment of data pipeline code across environments.
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Understands structural requirements and defines standards for how data will be stored, consumed, integrated, and managed within Snowflake and AWS infrastructure.
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Engages with Databricks to apply LLMs as part of data pipeline development and AI-enabled product work.
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Builds and deploys AI agents using Snowflake Cortex and related platforms, contributing to the team's growing portfolio of AI-enabled products and governance tools.
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Serves as a technical contributor to the team's governance function, conducting code reviews and providing architectural guidance to analytical developers.
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Monitors pipeline performance and utilization, identifies problems, and implements solutions in alignment with team standards and best practices.
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Completes problem tickets including bug fixes, design modifications, and enhancements based on stakeholder requirements.
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Performs additional duties and responsibilities as assigned, contributing flexibly to team priorities and organizational needs as they evolve.
Education
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Bachelor's Degree or equivalent combination of education and experience required.
Required Skills and Abilities
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Proficiency in SQL and Python as the core languages used to build and maintain data pipelines and infrastructure.
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Experience with dbt for data transformation and data modeling.
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Familiarity with workflow orchestration tools, preferably Dagster.
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Experience with cloud-based data platforms, preferably Snowflake and AWS.
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Familiarity with version control and CI/CD practices using GitHub and GitHub Actions.
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Exposure to AI and LLM concepts, with interest in applying them within data pipelines and products.
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Understanding of data warehousing principles and dimensional modeling.
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Understanding of industry standard software APIs.
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Strong collaboration and communication skills, with the ability to work across technical and non-technical stakeholders.
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Organization and time management skills.
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Commitment to data quality, governance, and user satisfaction in a fast-paced environment.
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Demonstrated initiative in resolving problems and balancing competing priorities in partnership with others.
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Familiarity with Agile and Scrum methodologies.
Physical Demands
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Extensive sitting, phone and computer use.
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Some travel may be required.
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Fluency in the English language.
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Extended hours may be required.
Work Environment
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General office environment.
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Normal office noise level, with occasional moderate noise.
Leveling Guide
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Builds and contributes to data pipelines and data models for assigned projects, working within established patterns and standards.
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Adheres and contributes to naming conventions, data governance practices, and thorough testing principles.
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Executes data design tasks and project requirements in collaboration with other data engineers and analytical developers.
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Supports performance tuning solutions for pipelines and data platforms.
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Writes SQL and Python code to support data validation, pipeline development, and performance tuning, leveraging available tools and AI assistance to produce quality, well-documented work.
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Adheres to standards and processes and actively suggests improvements.
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With guidance, contributes to data architecture tasks, code reviews, and team projects.
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Provides a credible contribution to project assessments, team agreements, and planning.
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Typically 1-3 years of experience.
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Requires foundational knowledge and experience in own discipline; actively acquiring higher level knowledge and skills.
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Builds knowledge of the organization, processes, and stakeholders.
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Solves a range of problems and analyzes and recommends possible solutions.
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Receives moderate guidance and direction, with increasing autonomy as experience grows.
What you can expect from us:
Salary range starting at $65,000 based on experience
Opportunity for annual cash bonus
Health / Dental / Vision Benefits Day-One
5% matching 401k
Additional benefits including but not limited to financial support, pet insurance, mental health resources, volunteer paid days off, employee stock program, foundation donation matching, and much more
Why IDEXX
We’re proud of the work we do, because our work matters. An innovation leader in every industry we serve since 1983, our team members help pet owners worldwide keep their companion animals healthy and happy, ensure safe drinking water for billions, and help farmers protect livestock and poultry from disease. We have customers in over 175 countries and a collaborative global workforce. Our culture embraces challenges and encourages learning and discovery. At IDEXX, you’ll be supported by competitive compensation, incentives, and benefits while enjoying purposeful work that drives improvement. If meaningful work and a sense of purpose are at the top of your list, you’ll find it here. Let’s pursue what matters together.
EEO Statement
IDEXX values a diverse workforce and workplace and strongly encourages women, people of color, LGBTQ+ individuals, people with disabilities, members of ethnic minorities, foreign-born residents, and veterans to apply. IDEXX is an equal opportunity employer. Applicants will not be discriminated against because of race, color, creed, sex, sexual orientation, gender identity or expression, age, religion, national origin, citizenship status, disability, ancestry, marital status, veteran status, medical condition, or any protected category prohibited by local, state, or federal law.
