SR DATA INTEGRATION ENGINEER

Sierra Nevada Brwing Co • Chico, CA

41d • $105,299 - $162,687 • Hybrid

About The Position

The Senior Data Integration Engineer is a hands-on technical contributor within Sierra Nevada's Data Services team. Reporting to the Data Services Manager, this role designs, builds, and optimizes data integration solutions that connect the brewery's key business systems and power analytics, automation, and operational excellence. This position helps evolve our data platform strategy-strengthening data trust and lineage across the brewery while improving speed, quality, and transparency in how data flows through our systems. The ideal candidate brings strong data engineering and software development skills, ensuring integrations are scalable, reliable, and easy to maintain. This position helps evolve our data platform strategy-strengthening data trust and lineage across the brewery while improving speed, quality, and transparency in how data flows through our systems. As Sierra Nevada continues to modernize its data ecosystem, this role ensures that information moves accurately, securely, and efficiently between systems. By establishing robust integration patterns, validated data flows, and reusable frameworks, this engineer strengthens the foundation for trusted data across the brewery-supporting everything from operations to analytics to future AI-enabled automation.

Requirements

• Bachelor's Degree Computer Science, Data Science, Mathematics or any combination of education and/or experience from which comparable knowledge, skills, and abilities have been achieved required
• 7 years experience in data integration, data engineering, or related software development roles required and
• Experience in ETL/iPaaS and data orchestration platforms (Fivetran, Boomi, Databricks, or comparable tools) required and
• Experience in Python and SQL for data manipulation, automation, and integration logic required and
• Experience designing and optimizing ETL/ELT workflows, data validation, and database performance required and
• Experience with DevOps practices, version control (Git), CI/CD, and automated testing required and
• Expertise in designing, building, and optimizing data pipelines and integrations.
• Strong understanding of data modeling, schema design, and data architecture.
• Ownership mindset-delivers complete, reliable, and maintainable solutions.
• Excellent problem-solving, communication, and cross-functional collaboration skills.
• Systems thinker who anticipates downstream impacts and aligns solutions to business needs.
• Organized, adaptable, and effective in dynamic, changing environments.
• Balances speed and quality to deliver scalable, reusable, and high-value outcomes.
• Curious, continuous learner who explores emerging tools and techniques to improve results.
• Deep respect for data integrity, validation, and governance as foundations for trusted insights.

Nice To Haves

• Experience supporting manufacturing, ERP, or industrial data environments preferred
• Familiarity with cloud data platforms (e.g., Microsoft Fabric, Snowflake, Azure) preferred
• Familiarity with or interest in using modern data automation and AI-assisted development tools (e.g., GitHub Copilot, Claude Code) to improve coding and documentation efficiency within established governance guardrails. preferred

Responsibilities

• Design, build, and maintain scalable data integration solutions that connect enterprise systems and ensure trusted, validated data movement.
• Develop and optimize data pipelines and orchestration processes to support consistent, high-quality data across platforms.
• Create and manage data mappings, transformation logic, and reusable templates to improve consistency and maintainability.
• Implement and uphold modern engineering practices-including version control, automated testing, and linting-to ensure quality and maintainability.
• Support data lineage, validation, and documentation to enhance visibility, traceability, and governance across the platform.
• Contribute to the long-term integration and data architecture strategy, ensuring readiness for future automation and intelligent data services.
• Collaborate closely with System Analysts and business partners to ensure integration logic accurately reflects business rules and process intent.
• Continuously evaluate and adopt emerging integration technologies that improve efficiency and reduce manual effort.
• Communicates effectively with technical and non-technical stakeholders.
• Works independently while collaborating across teams to deliver on shared goals.
• Analyzes problems, identifies solutions, and implements sustainable improvements.
• Navigates ambiguity and adapts quickly in a dynamic environment.
• Maintains documentation for data models, mappings, and integration processes.
• Fosters learning and collaboration within the Data Services team.
• Represents Sierra Nevada Brewing Co. with professionalism and integrity.

Benefits

• We're committed to our employees and work hard to prove it.
• For starters, we're offering $105,299 to $162,687 base compensation for this role.
• Individual offers are based on skills, experience, and qualifications.
• This role may be eligible for our bonus program - inquire with our Talent Acquisition Partner for additional details.
• But base pay is just the beginning.
• We support your future by offering a generous 10% company match on 401(k) contributions, providing learning and development opportunities, and fostering your safety at work with ongoing trainings, state-of-the-art equipment, and preventative care.
• We offer medical, dental, and vision insurance, an onsite medical clinic, as well as mental health and well-being benefits including paid sick leave.
• We foster a culture of work-life balance and always encourage employees to use and enjoy their paid time off.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Beverage and Tobacco Product Manufacturing
• Number of Employees: 1,001-5,000 employees