Role Description You will work day-to-day alongside our Senior Data Engineer, Full Stack Developer and AI Automation Developer in a small, practical and collaborative team. The role will involve: - Building and maintaining data pipelines. - Supporting integrations between our core systems. - Cleaning and transforming clinic data. - Improving reporting workflows. - Helping migrate legacy Microsoft 365 / Power Automate processes onto a more scalable modern data stack. This is not a narrow “reporting only” role. You will be close to the real operational problems of a growing veterinary group and will be expected to take ownership of useful, practical projects that make a visible difference across the business. What you’ll do: - Build and maintain data pipelines and integrations between our core systems. - Extract, clean and transform data from multiple sources, including veterinary practice management platforms. - Support reporting, analytics and operational dashboards for teams across the group. - Help maintain existing Microsoft 365 automations and support their migration onto a more robust pipeline stack. - Work with clinic, finance, operations and leadership data to make it more reliable, usable and connected. - Support AI-driven automation projects by preparing, structuring and validating the data that powers them. - Help document, simplify and de-risk our data infrastructure. - Troubleshoot data issues, integration failures and reporting inconsistencies. - Work closely with the Senior Data Engineer to improve how we build, monitor and maintain data processes. Qualifications - Strong SQL, including joins, aggregations, window functions and the ability to read and improve queries written by others. - Working Python, including pandas, REST APIs, CSV and Excel handling, and basic error handling. - A good understanding of data pipelines, including scheduling, task dependencies, incremental versus full loads, and how to safely re-run failed jobs. - Git fundamentals, including branching, commits and merge requests. - Confidence working with Microsoft 365 tools such as Excel, SharePoint and Outlook. - Ability to open, understand and troubleshoot existing Power Automate flows. - A practical, problem-solving mindset and the confidence to ask questions, document your work and improve existing processes. - Interest in AI-driven automation and how clean, structured data can safely power internal AI tools. Requirements - Experience with any of the following would be useful, but we do not expect you to know everything: - Google BigQuery - Apache Airflow - dbt - Python 3 - Firebase, including Cloud Functions, Firestore and hosting - GitLab and CI/CD - Docker - Google Cloud Platform - AWS - Power BI - Power Apps - Power Automate Benefits - Salary: up to 40k - Home-based or hybrid working, depending on location and business needs. - Real ownership and variety from day one. - The chance to work on practical data and automation projects that directly affect 50+ clinics. - A small, collaborative team where your work is visible and your ideas are heard. - The opportunity to help shape the future data and AI infrastructure of a growing veterinary group.

Role Description We are seeking a talented, agile T-shaped team member as a Data Visualization and Transformation Support Engineer with platform expertise across Tableau and Power BI to join our dynamic data and analytics organization. This cross-functional team member will support the migration effort of Tableau dashboards to Power BI Service. This individual should bring deep expertise in the Power BI service infrastructure, and at least surface level of Tableau Server. Key Responsibilities - Agile Collaboration: - Operate as a collaborative, T-shaped team, where each member contributes deep knowledge in their primary expertise area while supporting others in additional areas to maximize overall support across all tools. - Participate actively in agile ceremonies, including sprint planning, stand-ups, and retrospectives, to ensure a transparent and efficient workflow. - Data Analytics and Visualization: - Support and maintain Tableau and Power BI platforms that cater to business intelligence needs. - Assist with the migration from a Tableau Server infrastructure to a Power BI Service infrastructure. - Automation: - Develop platform solutions to proactively automate repetitive tasks, creating efficiencies and reducing manual intervention. - Collaborate closely with cross-functional teams to align analytics and visualization solutions with business requirements. - Continuous Improvement and Knowledge Sharing: - Foster a culture of continuous improvement by proactively learning and adopting new techniques, tools, and methodologies. - Share knowledge across the team and provide mentorship on best practices for Tableau, Power BI, Alteryx, Splunk, and Sinequa. Qualifications - Proven expertise in Tableau and Power BI for data visualization, with the ability to support the platform and dashboards. - Agile mindset with experience in Scrum methodologies. - Strong problem-solving skills, with the ability to adapt quickly to changing requirements. - Excellent communication skills, with the ability to translate complex issues to team members. Ideal Candidate Profile - A self-driven, collaborative professional who thrives in an agile environment. - Detail-oriented and focused on delivering high-quality solutions. - Willingness to grow and adapt within a dynamic T-shaped team structure, contributing expertise while supporting team growth across various tools and platforms.

Role Description The Data Engineering, Analytics & Intelligence team is the engine behind our data-driven culture. We partner across the enterprise—from Finance (Accounting, Customer Revenue Operations, Business Finance) to Sales and Marketing—to build the robust analytical foundations that power our global operations. As a Senior Data Engineer, you won’t just be managing pipelines; you will be a primary architect of our future state. You will lead our high-stakes Oracle Cloud Transformation for Finance and spearhead the integration of Generative AI and Machine Learning into core business processes to unlock unprecedented operational efficiencies. As a Senior Data Engineer you will be responsible for: - Partner with Finance leadership across Accounting, Customer Revenue Operations, and Business Finance to architect the migration and integration of systems into Oracle Cloud. - Design and deploy AI/ML solutions to automate and optimize core business workflows, turning enterprise data into operational intelligence. - Lead Data Quality initiatives to establish and enforce a "single source of truth." - Understand business processes to lead the building and maintaining of an enterprise data catalog and empower self-service analytics. - Act as the primary go-to expert and technical consultant for process changes and technical roadmaps within Finance systems. Qualifications - Deep understanding of business processes and data lifecycles specifically within Finance (Accounting, Customer Revenue Operations, Business Finance) systems. - 4+ years experience in the data engineering field. - Good understanding of data architecture and a proven track record leading cloud ERP transformations (Oracle Cloud, Workday, Salesforce). - Good experience with RDBMS like Oracle, elite SQL skills, and creating enterprise reports using tools like Tableau or Power BI. - Demonstrated experience utilizing AI/ML to gain measurable business process efficiencies. - Good communication skills with the ability to translate complex technical roadmaps for business stakeholders in a flexible environment. Benefits - Your health - Your finances - Your family - Your time at work - Your time pursuing other endeavors

Role Description New England Life Care is seeking a qualified Data Warehouse Developer to support the design, development, and ongoing maintenance of the organization’s enterprise data warehouse and analytics infrastructure. The Data Warehouse Developer will play a key role in building scalable data warehouse architecture, dimensional data models, and data integration pipelines that support enterprise reporting, analytics, and operational decision-making. This role will work closely with business stakeholders, analysts, and application teams to transform data from multiple operational systems into reliable and accessible information for business intelligence platforms. The ideal candidate will possess strong SQL development skills, ETL experience, and expertise in dimensional modeling (star and snowflake schemas) to support reporting and analytics initiatives across the organization. Qualifications - Bachelor’s degree in computer science, information systems, engineering, or other related discipline and/or equivalent combination of education and relevant experience. - 3+-7+ years of experience in data warehouse development. - Strong experience with Microsoft SQL Server or other enterprise relational databases. - Experience developing ETL pipelines using SSIS, Azure Data Factory, or comparable ETL tools. - Demonstrated experience designing and implementing dimensional data models. - Strong experience designing fact tables, dimension tables, surrogate keys, and slowly changing dimensions (SCD). - Advanced SQL development and query optimization skills. - Experience working with large datasets and complex data transformations. - Experience supporting business intelligence and reporting platforms such as Power BI, Tableau, or similar tools. Requirements - Knowledge of HIPAA Privacy and Security requirements. - Working knowledge of federal/state fraud and abuse laws required. - Valid driver’s license with excellent driving record required. Benefits - Health Insurance - Dental Insurance - Vision Insurance - Generous employer-matched 403b savings program - Company paid: Life insurance, Short- and long-term disability insurance - Paid Time Off - And much more! Additional Job-Related Duties - Design, develop, and maintain the enterprise data warehouse architecture to support reporting, analytics, and business intelligence initiatives. - Develop dimensional data models including fact tables, dimension tables, surrogate keys, and slowly changing dimensions using industry best practices. - Design and implement ETL/ELT pipelines to extract, transform, and load data from multiple operational systems into staging, transformation, and warehouse layers. - Ensure efficient processing on an ongoing basis including data consistency of data attributes, naming conventions, and element value types. - Optimize SQL queries, indexing strategies, and database performance to ensure efficient data retrieval and warehouse processing. - Automate, schedule, and monitor data integration jobs to ensure reliable and consistent data loading processes. - Ensure data accuracy, consistency, and integrity by implementing validation checks and reconciliation processes between source systems and the data warehouse. - Collaborate with business analysts, data analysts, and technical teams to translate business requirements into scalable data models and warehouse solutions. - Provide technical expertise for business intelligence and reporting tools such as Microsoft Power BI and other analytics platforms. - Document data warehouse architecture, data models, ETL processes, and data definitions to support long-term maintainability and governance. - Identify opportunities to improve data integration processes, warehouse performance, and reporting capabilities. - Support ongoing data governance and data quality initiatives across the organization. - Follow New England Life Care policies and procedures in the normal conduct of company business. - Maintain a strong understanding of software development lifecycle (SDLC) and data engineering best practices. - Ensure professional practices comply with HIPAA Privacy and Security regulations and the organization’s Corporate Compliance Program. - Build strong working relationships across departments and collaborate effectively with business and technical teams. - Demonstrate strong problem-solving skills by identifying data issues, diagnosing root causes, and implementing effective solutions. - Participate in the company Performance Improvement Program and provide recommendations for improvements based on data insights. - Assist in training or mentoring staff on data warehouse concepts, reporting tools, or data access processes as needed. - Participate in ongoing professional development through departmental meetings, technical training, and industry learning opportunities. - Perform additional duties or special projects as assigned by the direct supervisor. - Travel to remote sites as needed.