Senior Software Engineer

Job Overview KDP is seeking a Solution Engineer to design, build, and support data pipelines, orchestration, and semantic data models across modern data platforms, including Palantir Foundry, Databricks, and other analytics ecosystems. This role enables scalable, reliable data flow and powers decision intelligence solutions for end-to-end supply chain planning—spanning demand, supply, inventory, and distribution. A key focus of this role is supporting the ontology and orchestration layers that connect data, business logic, and planning decisions—ensuring data is modeled, governed, and activated in a way that drives actionable insights and operational workflows. Success requires strong engineering fundamentals, systems thinking, and the ability to learn and apply new technologies in a rapidly evolving landscape. Key Responsibilities Build and maintain end-to-end data pipelines (ingestion through curated, decision-ready datasets) Develop and extend semantic/ontology layers that model supply chain entities, relationships, and business logic for planning use cases Design and implement orchestration frameworks that connect data pipelines, analytical models, and decision workflows across planning processes Apply structured problem solving to break down complex, ambiguous planning challenges into scalable technical solutions Write production-grade code (e.g., Python, SQL) to process large structured and unstructured datasets Implement orchestration, scheduling, monitoring, and error handling aligned with planning cycles (e.g., demand, supply, IBP) Integrate data from Snowflake, Databricks, APIs, and enterprise systems into unified data platforms Ensure data quality, consistency, and governance, particularly as it relates to shared business objects and planning logic Translate business objectives into scalable solution architectures, from prototype through production deployment Deliver decision intelligence solutions that transform data into operational workflows and planning decisions Collaborate with cross-functional teams (business, data science, IT) to align on data models, workflows, and outcomes Bring a continuous learning mindset, adapting to new platforms, tools, and evolving supply chain needs Total Rewards Salary range $96,800 - $150,000 Actual placement within the compensation range may vary depending on experience, skills, and other factors Benefits, subject to election and eligibility: Medical, Dental, Vision, Disability, Paid Time Off (including paid parental leave, vacation, and sick time), 401k with company match, Tuition Reimbursement, and Mileage Reimbursement Annual bonus based on performance and eligibility Requirements Bachelor’s or Master’s in Data Science, Computer Science, Engineering, or related field Strong experience in data engineering and pipeline development Proficiency in Python and SQL Experience with ETL/ELT and orchestration frameworks Experience with modern data platforms (Snowflake, Databricks, or similar) Understanding of data modeling, semantics, and governance principles Experience designing systems that support business workflows and decision‑making processes Preferred Skills Experience with Palantir Foundry ontology, pipelines, and operational workflows Familiarity with semantic modeling / knowledge graph concepts / enterprise ontology design Supply chain domain experience across end-to‑end planning (demand, supply, inventory, IBP) Exposure to AI/ML pipelines or decision intelligence platforms Experience supporting scenario planning or optimization‑based solutions Keurig Dr Pepper is an equal opportunity employer and recruits qualified applicants and advances in employment its employees without regard to race, color, religion, gender, sexual orientation, gender identity, gender expression, age, disability or association with a person with a disability, medical condition, genetic information, ethnic or national origin, marital status, veteran status, or any other status protected by law #J-18808-Ljbffr Keurig Dr Pepper