Senior Data Engineer

Are you a hands-on data engineer passionate about building scalable data pipelines and enabling analytics that drive business decisions? At Keurig Dr Pepper, we’re looking for a Senior Data Engineer to develop and optimize data workflows as part of our modern data ecosystem. You will work closely with product managers, data scientists, and analysts to build reliable, efficient data solutions that support enterprise reporting, self-service analytics, and machine learning initiatives.

This is a high-impact role within a fast-moving, data-driven team.

As a Senior Data Engineer, you will…

Data Engineering & Architecture:

Design and implement scalable, well-documented data pipelines using dbt, SnowSQL, and cloud-native tools.

Develop transformation layers and dimensional models to support reporting, dashboards, and advanced analytics.

Build integrations with structured and semi-structured data sources from internal and third-party systems.

Apply data quality checks and validation frameworks to ensure accuracy, completeness, and reliability.

Optimization & Automation

Continuously monitor and optimize data pipelines for performance, scalability, and cost-efficiency.

Contribute to code versioning, testing, and deployment automation using Git and CI/CD pipelines.

Leverage tools such as UC4, Airflow, Fivetran, or Informatica Cloud to orchestrate ELT workflows.

AI-Ready Data Ecosystems

Collaborate with Data Scientists to support AI/ML pipelines—enabling efficient feature engineering, model training, and real-time inferencing.

Integrate AI-driven capabilities such as anomaly detection, intelligent alerting, and natural language enrichment into data workflows.

Prepare structured datasets to support experimentation, forecasting, and anomaly detection use cases.

Collaboration & Delivery

Work closely with product owners, data analysts, and other engineers to understand business requirements and translate them into data models and pipelines.

Participate in agile development processes—standups, backlog grooming, sprint planning, and retrospectives.

Contribute to data design discussions and ensure adherence to architectural and governance standards.

Leadership & Collaboration:

Collaborate with cross-functional teams—including Solution Architects, Product Managers, Data Scientists, and Analysts—to align on data strategy and business outcomes.

Technically lead product teams involving external partners, ensuring timely delivery of high-quality data solutions.

Provide technical thought leadership, guiding product teams and best practices.

Governance & Optimization:

Define and enforce engineering standards and best practices across the analytics ecosystem.

Lead architectural design reviews, ensuring technical rigor and adherence to change control processes.

Continuously assess and optimize the performance, reliability, and scalability of the data platform.

Who you are:

You're a strategic, hands-on engineering leader who combines deep technical expertise with strong business acumen. You're passionate about solving complex data challenges, enabling AI, and mentoring teams to deliver enterprise-grade data solutions.

Key Skills & Expertise:

Technical Mastery (Deep, hands-on expertise expected)

Expert-level knowledge of Snowflake architecture, SnowSQL, and data transformation workflows.

Advanced proficiency with dbt for modeling, testing, versioning, and orchestrating ELT pipelines.

Strong command of SQL, Python, and scalable data pipeline development.

Proven experience designing and managing enterprise data warehouses and cloud-native data platforms, including Databricks.

Deep understanding of modern data modeling techniques (e.g., dimensional, data vault, star/snowflake schemas).

Understanding of modern data architecture patterns such as data lakehouse, data warehouse, or data hub.

Experience developing and managing ELT/ETL pipelines using tools like Fivetran, Informatica, or Azure Data Factory.

Familiarity with CI/CD practices, Git-based workflows, and agile development methodologies.

Some Experience / Familiarity With (Preferred, but not required at expert level)

AI/ML platforms such as Databricks, SageMaker, AutoML, or TensorFlow.

Data integration and ELT tools like Informatica Cloud, Fivetran, or Azure Data Factory.

BI tools: Power BI, Tableau, or MicroStrategy.

Working with SAP ERP as a data source.

Cloud platforms such as Azure, AWS, or GCP—especially storage, compute, and orchestration services.

Working knowledge of data governance practices (e.g., metadata management, data lineage).

DevOps practices including Git workflows, CI/CD, and automation.

UNIX/Linux environments and shell scripting.

Leadership & Communication:

Ability to lead cross-functional teams and manage complex data initiatives from design through delivery.

Excellent communicator—able to convey complex technical concepts to both technical and non-technical audiences.

Proven track record of influencing architectural direction, mentoring team members, and driving business-aligned outcomes.

Skilled at deriving insights from data and translating them into clear, actionable recommendations.

Problem Solving & Optimization:

Demonstrated success in building and optimizing data pipelines to maximize performance and maintainability.

Strong analytical and troubleshooting skills with a focus on root cause analysis and long-term solutions.

• Salary Range: $97,000 - 130,000
• 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

Education:

Bachelor’s or Master’s degree in Computer Science, Data Science, Information Systems, or a related field.

Experience:

8+ years of professional experience in data engineering, analytics engineering, or data platform development.

Hands-on experience with Analytics tools and platforms like Snowflake or Informatica Cloud.

Expert in SQL, SnowSql coding, ETL, and data warehousing.

Core Skills:

Expertise in conceptual architecture, data integration design, and wireframing.

Familiarity with DevOps and Agile technology environments (preferred).

Nice to have / Cross trained In:

Exposure to SAP ERP and SAP-based data integration.

Familiarity with AI/ML use cases in data operations (e.g., intelligent data quality, anomaly detection).

Snowflake, dbt, or cloud platform certifications.

Keurig Dr Pepper (NASDAQ: KDP) is a leading beverage company in North America, with a portfolio of more than 125 owned, licensed and partner brands and powerful distribution capabilities to provide a beverage for every need, anytime, anywhere. We operate with a differentiated business model and world-class brand portfolio, powered by a talented and engaged team that is anchored in our values. We work with big, exciting beverage brands and the #1 single-serve coffee brewing system in North America at KDP, and we have fun doing it!

Together, we have built a leading beverage company in North America offering hot and cold beverages together at scale. Whatever your area of expertise, at KDP you can be a part of a team that’s proud of its brands, partnerships, innovation, and growth. Will you join us?

We strive to be an employer of choice, providing a culture and opportunities that empower our team of ~29,000 employees to grow and develop. We offer robust benefits to support your health and wellness as well as your personal and financial well-being. We also provide employee programs designed to enhance your professional growth and development, while ensuring you feel valued, inspired and appreciated at work.

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.

A.I. Disclosure: 
KDP uses artificial intelligence to assist with initial resume screening and candidate matching. This technology helps us efficiently identify candidates whose qualifications align with our open roles. If you prefer not to have your application processed using artificial intelligence, you may opt out by emailing your resume and qualifications directly to kdpjobs@kdrp.com.