Data Engineer, Sales & Service

IDEXX Laboratories, Inc; Westbrook (ME); Hybrid; USD 70,000 - 90,000; Full time

Benefits offered by this job

Health/Dental/Vision

401(k) with 5% match

Employee stock program

Volunteer paid days off

Wellness resources

Job summary

IDEXX Laboratories, Inc. in Westbrook, ME seeks a Data Engineer to design and scale data infrastructure powering analytics, AI-enabled products, and decision-making. Hybrid role with 2 days onsite weekly at our Westbrook headquarters.

Join a collaborative team leveraging cloud and AI tech to deliver scalable data pipelines and governance across the organization. You will build SQL/Python data solutions, contribute to data models, and support deployment and CI/CD.

Qualifications

• Proficiency in SQL and Python; experience building data pipelines.
• Bachelor's degree or equivalent experience.
• Experience with dbt or similar data transformation tools.
• Knowledge of data warehousing concepts and dimensional modeling.
• Experience with cloud data platforms and modern data ecosystems.
• Experience using CI/CD practices to support data engineering development.
• Strong collaboration and communication with stakeholders.
• Attention to data quality, governance, and continuous improvement.
• 1–3 years of data engineering experience; eager to expand ownership.
• Experience with Dagster, AWS, Snowflake, and GitHub Actions.

Responsibilities

• Design and build scalable data pipelines for analytics, AI applications, dashboards, and enterprise reporting.
• Develop and maintain SQL and Python code for data transformation, integration, testing, and validation.
• Contribute to enterprise data models for consistency, scalability, and reuse.
• Support automated deployment processes and CI/CD for data solutions.
• Partner with analysts, developers, and stakeholders to understand data requirements and deliver trusted data assets.
• Help define standards for data storage, integration, access, and cloud governance.
• Apply AI and LLM technologies within data pipelines to improve efficiency and capabilities.
• Build and enhance AI-powered agents and solutions for business users and workflows.
• Participate in code reviews and data governance practices.
• Monitor and optimize pipeline performance, troubleshoot issues, and implement improvements.
• Resolve production issues balancing evolving business priorities.
• Collaborate with technical and non-technical stakeholders to deliver impactful data solutions.

Skills

SQL

Python

dbt

Data modeling

Cloud platforms

CI/CD

GitHub Actions

Agile/Scrum

AI concepts

Dagster

Databricks

Education

Bachelor's degree

Tools

Dagster

GitHub

Snowflake

Databricks

AWS

Job description

As a Data Engineer, you will help build and scale the data infrastructure that powers analytics, reporting, AI-enabled products, and business decision-making across IDEXX. This is a hybrid role based out of our Westbrook, Maine headquarters, with an expectation of 2 days onsite per week. The Global Sales and Service Analytics team develops and supports the data products, governance frameworks, analytical solutions, and AI capabilities that empower stakeholders ranging from Sales Professionals to Executive Leadership around the world.

Why does this role matter? This role sits at the intersection of modern data engineering and artificial intelligence, giving you the opportunity to directly influence how data is transformed into insights, products, and business outcomes. You'll join a highly collaborative team working with a modern cloud and AI technology stack to develop scalable data pipelines, support advanced analytics, and build AI-enabled solutions. Your work will have visibility across the organization and play a key role in advancing data-driven decision making, innovation, and operational excellence. This is an excellent opportunity for an early-career data engineer to expand technical expertise, take on increasing ownership, and help shape the future of data and AI at IDEXX.

As a Data Engineer, you will help build and scale the data infrastructure that powers analytics, reporting, AI-enabled products, and business decision-making across IDEXX. This is a hybrid role based out of our Westbrook, Maine headquarters, with an expectation of 2 days onsite per week. The Global Sales and Service Analytics team develops and supports the data products, governance frameworks, analytical solutions, and AI capabilities that empower stakeholders ranging from Sales Professionals to Executive Leadership around the world.

Why does this role matter? This role sits at the intersection of modern data engineering and artificial intelligence, giving you the opportunity to directly influence how data is transformed into insights, products, and business outcomes. You'll join a highly collaborative team working with a modern cloud and AI technology stack to develop scalable data pipelines, support advanced analytics, and build AI-enabled solutions. Your work will have visibility across the organization and play a key role in advancing data-driven decision making, innovation, and operational excellence. This is an excellent opportunity for an early-career data engineer to expand technical expertise, take on increasing ownership, and help shape the future of data and AI at IDEXX.

As a Data Engineer, you will help build and scale the data infrastructure that powers analytics, reporting, AI-enabled products, and business decision-making across IDEXX. This is a hybrid role based out of our Westbrook, Maine headquarters, with an expectation of 2 days onsite per week. The Global Sales and Service Analytics team develops and supports the data products, governance frameworks, analytical solutions, and AI capabilities that empower stakeholders ranging from Sales Professionals to Executive Leadership around the world.

Why does this role matter? This role sits at the intersection of modern data engineering and artificial intelligence, giving you the opportunity to directly influence how data is transformed into insights, products, and business outcomes. You'll join a highly collaborative team working with a modern cloud and AI technology stack to develop scalable data pipelines, support advanced analytics, and build AI-enabled solutions. Your work will have visibility across the organization and play a key role in advancing data-driven decision making, innovation, and operational excellence. This is an excellent opportunity for an early-career data engineer to expand technical expertise, take on increasing ownership, and help shape the future of data and AI at IDEXX.

In This Role

• You will design and build scalable, reliable data pipelines that support analytics, AI applications, dashboards, and enterprise reporting solutions.
• You will develop and maintain SQL and Python code that enables efficient data transformation, integration, testing, and validation.
• You will contribute to the development and governance of enterprise data models that promote consistency, scalability, and reuse across multiple products and solutions.
• You will help manage automated deployment processes and support continuous integration and delivery practices for data engineering solutions.
• You will partner with analysts, developers, and business stakeholders to understand data requirements and deliver trusted data assets.
• You will support data architecture initiatives by helping define standards for how data is stored, integrated, accessed, and managed within cloud environments.
• You will apply AI and large language model technologies within data pipelines and analytical products to improve efficiency and unlock new capabilities.
• You will build and enhance AI-powered agents and solutions that support business users and analytical workflows.
• You will participate in code reviews and contribute to data governance practices that promote quality, maintainability, and consistency.
• You will monitor and optimize pipeline performance, troubleshoot issues, and implement improvements aligned with team standards.
• You will resolve production issues, enhancements, and development requests while balancing evolving business priorities.
• You will collaborate closely with both technical and non-technical stakeholders to deliver impactful data solutions.

What You Need to Succeed

• You have proficiency in SQL and Python, with experience building and maintaining data pipelines and data infrastructure. (Required)
• You have a Bachelor's degree or an equivalent combination of education and experience. (Required)
• You have experience with data transformation and data modeling tools, including dbt or similar technologies. (Required)
• You have knowledge of data warehousing concepts and dimensional modeling practices. (Required)
• You have experience working with cloud-based data platforms and modern data ecosystems. (Required)
• You have experience using version control systems and CI/CD practices to support software or data engineering development. (Required)
• You have strong collaboration and communication skills, enabling effective partnership with technical and non-technical stakeholders. (Required)
• You demonstrate attention to data quality, governance, and continuous improvement in a fast-paced environment. (Required)
• You have strong organizational, prioritization, and problem-solving abilities. (Required)
• You have 1 to 3 years of relevant data engineering experience and are eager to expand your technical expertise and ownership. (Strongly Preferred)
• You have experience with dbt for data transformation and modeling. (Strongly Preferred)
• You have experience with workflow orchestration tools such as Dagster. (Strongly Preferred)
• You have experience working within AWS and Snowflake environments. (Strongly Preferred)
• You have experience building and supporting CI/CD pipelines using GitHub and GitHub Actions. (Strongly Preferred)
• You have familiarity with software APIs and data integration patterns. (Strongly Preferred)
• You have experience working in Agile or Scrum development environments. (Strongly Preferred)
• You have exposure to AI, machine learning, or large language model technologies and are excited about applying them to data products and workflows. (Preferred)
• You have experience with Databricks, Snowflake Cortex, AI agents, or similar AI-enabled platforms. (Preferred)
• You demonstrate intellectual curiosity, a bias toward automation, and enthusiasm for modern data engineering technologies. (Preferred)
• You have experience supporting data governance initiatives, code reviews, or technical mentorship activities. (Preferred)

What you can expect from us

• Salary range starting at $70,000 based on experience
• Opportunity for annual cash bonus
• Health / Dental / Vision Benefits Day-One
• 5% matching 401k
• Additionalbenefits including but not limited to financial support, pet insurance, mentalhealth resources, volunteer paid days off, employee stock program, foundation donationmatching, 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.

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 laws.