{"id":4039111,"url":"https://alion.io/job/idexx-laboratories-data-engineer-2","title":"Data Engineer","company":{"id":5908,"name":"IDEXX Laboratories","domain":"idexx.com","url":"https://alion.io/company/idexx-laboratories","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":82,"open_postings":32,"ghost_share":0,"stale_share":0.719,"repost_share":0.031,"time_to_fill_p50_days":24,"computed_at":"2026-11-10T06:52:35Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Amazon ECS","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"dbt","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Streamlit","optional":false}],"status":"live","first_seen_at":"2026-11-10T21:41:09Z","employer_posted_date":"2026-11-10","last_verified_at":"2026-11-10T21:41:09Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"As a Data Engineer on the Medical Data Insights team, you will build and maintain the data pipelines, models, and tools that turn IDEXX medical data into trusted, analysis-ready assets. You will work across a modern cloud stack, including Snowflake, dbt, Airflow, and AWS, to move data from source systems into curated data products that support analysts, biostatisticians, and business partners.\nWhy this role matters\nOur team has many projects in flight, and their long-term success depends on efficient engineering, reliable testing, and consistent monitoring. Your organization and written communication will be as important to this role as your technical skills. You'll get to work closely with our medical team, turn data into clinical insights that help them do their jobs, and make our tools easy, reliable, and valuable as they scale.\nIn this role\nYou'll design, build, and maintain reliable ELT pipelines that ingest, transform, and deliver medical data at scale. \nYou'll develop modular, tested, and well-documented transformation models in dbt on Snowflake. \nYou'll orchestrate, schedule, and monitor workflows in Airflow to ensure timely and accurate data delivery. \nYou'll deploy and support data services on AWS, including containerized workloads on ECS and data storage on S3. \nYou'll build lightweight internal data applications and tools in Streamlit for analysts and business stakeholders. \nYou'll write clear, thorough documentation for pipelines, data models, and applications. \nYou'll organize and track work across multiple concurrent projects, keeping priorities, status, and open questions visible to the team. \nYou'll identify and resolve data quality issues such as missing, duplicate, or incorrect data, and implement checks to prevent them. \nYou'll follow and contribute to team standards for naming conventions, code review, version control, testing, and data governance. \nYou'll use AI coding tools to accelerate development, testing, and documentation while maintaining high-quality standards. \nWhat you need to succeed\nBachelor's degree in Computer Science, Engineering, Information Systems, or a related field, or an equivalent combination of education and experience. \n5+ years of professional experience in data engineering or a closely related role. \nStrong proficiency in SQL and Python. \nHands-on experience building transformations with dbt. \nExperience with Snowflake or a comparable cloud data warehouse. \nWorking knowledge of AWS services, particularly ECS and S3. \nExperience with workflow orchestration using Airflow or similar tools. \nExperience building data applications or dashboards. \nA demonstrated commitment to documentation, with the ability to write clear technical and process documentation for both technical and non-technical audiences. \nExcellent organizational skills, with the ability to manage multiple projects, prioritize effectively, and adapt to changing business needs. \nStrong written and verbal communication skills. \nInitiative and self-motivation to work with minimal supervision and exercise sound independent judgment. \nWhat you can expect from us\nBase salary starts at $130000 / year and can flex up depending on experience. \nOpportunity for annual cash bonus \nHealth / Dental / Vision benefits on day one \n5% matching 401k and employee stock purchase plan \nCompetitive paid time off \nOn-the-job training and career advancement opportunities \nThis is a virtual role that can be done anywhere in the US. \nWhy IDEXX\nWe'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.\nWe 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.\nIf 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.\nIDEXX 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. 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