This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description Are you a customer-centric individual looking to kick start their career in a tech role? IDEXX has got an exciting role for someone with a passion for technology and development looking to break into the tech space as a Data Onboarding Technician. The Data Onboarding Technicians are pivotal in closing the gap between our customers, implementers, and our data engineering teams. If you love process improvement, working directly with customers, both external and internal, while flexing and growing your technical skills, this will be a great opportunity for you! You will be working with our cloud-based Veterinary Practice Management Software, which includes Neo, Cornerstone, and ezyVet; these programs provide easy-to-use software that helps veterinary practices save time, increase revenue, communicate better with clients, and reduce workload stress. A bit more about the role, you will: - Partner with our implementation teams, driving data conversion tasks required to help customers onboard to our products - Directly engage with customers in the onboarding process to gain remote access to systems and grab data - Monitor conversions and self-sufficiently prioritise and organise tickets, complete work, document actions taken, and transition tickets while working closely with our Scrum Master - Ensure that our PM tool and Jira are kept in sync to ensure timely completion of data tasks Qualifications - A hunger and excitement to learn, build and adapt - A development background with solid database skills - this isn't off the shelf ETL and data engineering - Interpret data models and comprehend database structures and relationships - Strong computer skills and a passion for the technical - Driven by initiative - performance orientated, multi-tasker and assertive to the commercial realities of handling large quantities of sensitive customer data - Great communication skills, engaging with customers and managing internal stakeholders - Bonus if you have some experience in Agile methodologies, scrum/kanban, AWS, C#, PHP, Python, MySQL, Jira, Grafana, Confluence, Slack Benefits - Competitive Salary - Opportunity for annual cash bonus - 401K Match - Benefits Day-One - Additional benefits including but not limited to financial support, pet insurance, mental health resources, volunteer paid days off, foundation donation matching, and much more Company Description We’re proud of the work we do, because our work matters. An innovation leader in every industry we serve, we follow our Purpose and Guiding Principles to help pet owners worldwide keep their companion animals healthy and happy, to ensure safe drinking water for billions, and to help farmers protect livestock and poultry from diseases. We have customers in over 175 countries and a global workforce of over 10,000 talented people. At IDEXX, you will be supported by competitive compensation, incentives, and benefits while enjoying purposeful work that drives improvement.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We’re looking for a Senior Data Engineer who doesn't just "move data" but architects the pipelines that power data intelligence for our customers. If you’ve spent your career turning messy datasets into elegant, scalable solutions—and you’re excited about the intersection of traditional data engineering and the new frontier of AI—you’re in the right place. As a senior member of our team, you’ll be a technical linchpin, bridging the gap between our domestic Product, Analyst, and Customer Success teams as part of our cloud engineering team. Your goal is to design, build, and optimize a modern data ecosystem. We operate in a hybrid environment where legacy stability meets cutting-edge flexibility. You’ll be responsible for ensuring our data is performant, compliant (especially within the nuances of the Insurance industry), and ready for both human analysis and machine learning models. What You’ll Do - Data Modeling and Architecture: Architect and build robust, consistent, and non-redundant Dimensional Models within the Enterprise Data Warehouse (EDW) to solve specific business use cases, ensuring optimal performance for PowerBI consumption. - ETL/ELT Pipeline Development: Design and implement end-to-end data pipelines, leveraging Matillion and ADF for orchestration, and PySpark for intricate data transformations. - Data Ecosystem Management: Manage and optimize the data footprint across key platforms, including MS SQL Server, Snowflake, and the MS Fabric environment. - Innovate with AI: Integrate AI tools (Copilots, LLM-based automation, or predictive features) into our data workflows to increase efficiency and data quality. - Collaborate Globally: Work closely with our Global Development Centers to ensure architectural consistency while acting as a primary technical partner for Product and Customer Success teams. - Data Stewardship: Transform complex insurance domain logic into clean, reliable datasets that our Data Analysts can trust implicitly. Qualifications - Minimum 8 years experience - Engineering or BS degree Requirements - Expert SQL & Python: You can write complex queries in your sleep and build robust, modular scripts in Python/PySpark. - Cloud Data Platforms: Deep experience with Snowflake (warehousing) and MS Fabric (the future). - ETL/ELT Mastery: Proven track record with Matillion or similar cloud-native orchestration tools. - Big Data Savvy: You know how to handle high-volume, high-velocity data without breaking the bank or the server. - AI Fluency: You aren’t just curious about AI; you’re actively using AI tools to speed up development or enhance data insights. Benefits - Generous PTO and 11 paid holidays, plus well-being and volunteer time off. - Up to 16 weeks of fully paid parental leave and a baby stipend. - Multiple medical plan options with mental health and wellness support offerings. - 401(k) with company match and vesting after one year. - $400 annual well-being stipend and tuition assistance up to $5,250. - Recognition Rewards, Referral bonuses, exclusive discounts and more!

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role involves building and operating TubeBuddy’s ETL/ELT pipelines and lakehouse/warehouse models, turning raw product, event, and YouTube-derived data into trusted datasets across our S3 data lake, Databricks, and dbt. - Design, build, and maintain ETL/ELT batch pipelines landing raw data into our S3 data lake and promoting curated datasets into Databricks. - Implement reliable backfills and reprocessing workflows to keep historical data correct. - Build and maintain dbt models (staging through marts) with clean layering, documentation, and automated tests. - Partner with stakeholders to define canonical metrics and ensure consistent definitions across reporting. - Own data quality expectations (freshness, completeness, and correctness) for core datasets. - Partner with Engineering, Product, and Analytics to deliver high-quality datasets for reporting, experimentation, and analysis. - Support product analytics event data in the warehouse (Segment → Databricks), including identity/joins and schema stability. - Contribute to product-facing engineering work when needed, including light backend and application development support. Qualifications - 3–5+ years of data engineering experience shipping production pipelines - Bachelor's degree, or Master's degree in computer science, statistics, information systems, or a related, technical field - Strong programming experience with Python and SQL - Hands-on experience with cloud storage and lakehouse/warehouse patterns (we use S3 and Databricks) - Strong experience with dbt for transformations, testing, and documentation - Proven ability to operate pipelines in production, including backfills, reprocessing, and incident response - Ability to turn data requirements from stakeholders into actionable plans - Experience collaborating cross-functionally and being accountable in a small team - Comfortable using AI-assisted tooling to accelerate development, paired with strong habits around validation, testing, and documentation Requirements - Familiarity with product/event analytics data pipelines (Segment → warehouse) and modeling event schemas for analysis - Experience working in a multi-cloud environment (AWS + Azure) - Experience with orchestration and operational tooling (scheduling, retries, SLAs). - JavaScript/TypeScript familiarity (various customer-facing aspects of our products). - Comfort participating in production support rotations or incident response when needed. Benefits - Full-time remote position with salary, health, vision, dental benefits - Flexible time-off policy - Assistance in professional development conferences or courses - Paid airfare, lodging if required to travel - Other perks TBA

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We’re looking for a Senior Data Engineer to help shape and scale our modern data platform. This role combines hands-on technical ownership with strategic influence across our data ecosystem. You’ll work with AWS serverless technologies, Snowflake, dbt, and Terraform to design reliable, scalable, and cost-effective data pipelines that empower analytics and AI-driven applications. You’ll play a key role in building the foundation that allows us to make smarter, faster, and data-driven decisions while also enabling AI-powered products and insights. - Design, build, and maintain cloud-native data infrastructure using Terraform for IaC. - Develop and optimize data pipelines leveraging AWS services (Lambda, Fargate, Step Functions, S3, Kinesis, DynamoDB, Aurora, etc.) and Snowflake. - Implement ELT workflows within dbt in partnership with our Analytics Engineering function. - Build and maintain LLM frameworks, ensuring high-quality and cost-effective outputs. - Automate infrastructure and pipeline deployments with CI/CD best practices. - Monitor, debug, and improve system performance with strong observability and logging practices. - Partner with cross-functional teams (analytics, data science, product, engineering) to deliver high-quality data solutions. - Mentor teammates and contribute to engineering standards, raising the technical bar across the team. Qualifications - 5+ years of professional experience in data engineering or software engineering, with emphasis on scalable data systems. - Deep experience with AWS cloud services (especially Lambda, Fargate, Step Functions, S3, DynamoDB, Aurora). - Hands-on expertise in Terraform and/or AWS CDK for managing infrastructure as code. - Strong knowledge of SQL and experience with Snowflake or another cloud data warehouse. - Proficiency with dbt and modern ELT patterns. - Solid coding skills in Python (or another general-purpose language). - Experience building pipelines to support AI/ML workflows (feature engineering, training data pipelines, model monitoring). - Understanding of CI/CD workflows, Git-based development, and containerization (Docker). - Knowledge of data quality, governance, and observability best practices. Requirements - Experience in both startup and enterprise environments, with ability to adapt to fast-changing priorities while maintaining quality. - Familiarity with orchestration frameworks (Airflow, Dagster, Prefect). - Knowledge of streaming/event-driven architectures (Kinesis, Kafka). - Prior experience mentoring or leading engineers. Benefits - We hire based on ambition, grit, and a passion for improving the way people work. - We assess every candidate based on the potential impact they can have. - We hire the best people for the job and support each person’s journey to build their boldest career.