Role Description Deliver insights to help our clients turn data into action as a Data Engineer / Cloud ETL Developer at GDIT. Your work will provide transformative solutions to our clients’ big data challenges and help advance the mission. Here, you can make a meaningful impact on our clients’ mission and on your career. At GDIT, people are our differentiator. GDIT Technology Shared Services (TSS) is seeking a Data Engineer / Cloud ETL Developer to transform how government agencies use data. Our work depends on a Data Engineer / Cloud ETL Developer joining our team to deliver cloud-based data engineering and ETL solutions for a Federal agency. HOW YOU WILL MAKE AN IMPACT: - Design, develop and implement complex ETL processes of healthcare data to meet a wide range of business and system requirements. - Support the ETL operational processes including but not limited to: automation, job scheduling, dependencies, monitoring, maintenance, patches, upgrades, security, and administration. - Identify process improvements and innovative ways to solve existing or new problems. Qualifications - BA/BS in a Computer Science or related technical discipline or the equivalent combination of education, technical certifications or training, or work experience. - 5+ years of IT experience. - Strong experience working with Python programming required. - Strong SQL experience required. - At least 2+ years of Cloud ETL development experience using AWS Services/tools. - Experience with Snowflake, and/or similar cloud relational database/data warehouse technologies. - Experience in Github, or similar version control tools. - Prior experience using the Agile development framework, and CI/CD DevOps. Requirements - Requires ability to pass CMS background check and meet the residency requirement for having resided in the US at least (3) three out of the last (5) five years. Benefits - AI-powered career tool that identifies career steps and learning opportunities. - An internal mobility team focused on helping you achieve your career goals. - Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off. - Full-flex work week to own your priorities at work and at home. - Award-winning culture of innovation and a military-friendly workplace. Salary Information The likely salary range for this position is $110,500 - $149,500. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range. Benefits Information Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year. Paid leave and paid holidays are prorated based on the employee’s date of hire. The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.

Role Description As our sole Analytics Engineer, you'll be hands-on building and maintaining the data infrastructure that powers Snout — from BI integrations with our veterinary customers to the pipelines and models that make our data reliable and useful. You'll partner closely with teams across GTM, marketing, CX, and engineering to translate business questions into analytics assets that actually get used. Your impact will be felt across the entire organization. The insights and reporting infrastructure you build will directly shape how Snout's clinic partners experience our product and how our internal teams make decisions. This is a foundational role at a critical stage of our growth. If you're someone who loves working with data, thrives in ambiguity, and wants to build something from the ground up, we'd love to hear from you! Qualifications - 5+ years of experience in data analytics, building and maintaining data infrastructure - Experience across data and analytics, reporting/visualizations, data warehousing, data testing, and analytics engineering - A proven track record of data integration for data model consumption - Experience analyzing large datasets from multiple source systems for reporting consumption - Hands-on experience with Looker, dbt, SQL, Snowflake, and Fivetran (or similar) and coding with python (or similar) - Ability to collaborate with various departments in a cross-functional environment to deliver usable insights Requirements - Integrate with our veterinary partners' software to develop data pipelines and dbt models to support Snout's data offering, ensuring our infrastructure reliably delivers data to analytics and business systems - Understand and translate business needs into executable data transformation models that deliver key technology assets across the organization - Provide analytics modeling, data testing, data engineering, and reporting - Create algorithms to determine relationships between various data sources and surface insights for end users - Discover and deliver insights and reporting to our customers and internal stakeholders Benefits - Day 1 medical/dental/vision benefits - Flexible time off + 11 Snout calendar holidays - Paid parental leave

• Design, develop and implement complex ETL processes of healthcare data to meet a wide range of business and system requirements • Support the ETL operational processes including but not limited to: automation, job scheduling, dependencies, monitoring, maintenance, patches, upgrades, security, and administration • Identify process improvements and innovative ways to solve existing or new problems

• Lead the design and delivery of end-to-end analytics solutions, from requirements to deployment and optimization • Ensure analytics products meet Enterprise Operations Insights standards for data modelling, UX design, and storytelling • Drive adoption of AI-ready data practices, ensuring data is structured for scalability and AI consumption • Collaborate closely with Data Engineering to align on architecture, dataflows, and optimized data structures • Actively contribute to building, testing, refining, and improving AI-driven analytics solutions • Drive stakeholder engagement through clear communication, proactive updates, and expectation management