Sr. Data Engineer

Premier Nutrition Company’s Enterprise Data Intelligence team is hiring a Sr. Data Engineer to design, build, and operate cloud-native data infrastructure and ETL/ELT pipelines. This hybrid role (Emeryville, CA) focuses on delivering reliable analytics and data science foundations, strengthening DataOps, and administering Snowflake across multiple environments.

Responsibilities

• Design, build, and maintain cloud-native data pipelines and infrastructure for analytics, reporting, and data science use cases in a SaaS-based environment.
• Own the data lifecycle from requirements gathering through design, ingestion, transformation, modeling, testing, deployment, monitoring, and production support.
• Implement and manage ELT pipelines using tools such as Fivetran, dbt, and Python, ensuring solutions are scalable and dependable.
• Develop and maintain data models, data marts, APIs, and automation scripts to streamline analytics workflows.
• Design and deploy Snowflake database schemas, tables, and views across DEV, QA/UAT, and PROD environments.
• Collaborate with stakeholders to translate business requirements into robust technical designs.
• Provide documentation, training, and enablement to drive adoption of enterprise data assets.
• Protect production pipeline health by monitoring schedules, troubleshooting failures, and maintaining smooth operations.
• Monitor data quality and investigate root causes when issues appear.
• Administer Snowflake security strategy and database management.
• Fine-tune databases, queries, and pipelines to improve performance and efficiency.
• Identify opportunities for system automation that improve team effectiveness and operating efficiency.
• Research and test new technology, support evaluation of architectural changes and database design updates needed for enterprise adoption, and assess impacts.
• Follow documented procedures for configuring, maintaining, upgrading, testing, and deploying as a database administrator.
• Ensure enterprise database administration follows best practices to support user experience and sustainable design.

Required Qualifications

• Bachelor’s degree in computer science, Engineering, Information Systems, or related technical disciplines.
• 5+ years of experience as a Data Engineer in cloud-native and SaaS-based environments supporting enterprise data platforms across data warehouses, data lakes, and application databases (including Snowflake, Oracle, and SQL Server).
• 7+ years of SQL experience with demonstrated ability to write, optimize, and maintain complex queries and stored procedures.
• Programming experience in Python, Scala, or other scripting languages for automation, data transformation, and integration.
• Hands-on experience designing, building, and maintaining ELT/ETL pipelines, dimensional models, and data marts using modern tools such as dbt, Fivetran, or equivalent frameworks.
• Demonstrated experience with SaaS data sources and APIs, integrating cloud-based systems such as ERP (e.g., NetSuite), CRM, and planning tools (e.g., Oracle EPM, O9, or Salesforce).
• Exposure to or hands-on experience with AI/LLM frameworks such as Snowflake Cortex, MCP, or similar technologies for automation and data intelligence.
• Experience with data integration and orchestration tools such as Dell Boomi, Airflow, Azure Data Factory, or equivalent.
• Strong understanding of data governance, observability, lineage, and data quality management in a cloud environment.
• Experience with Git-based version control (e.g., GitHub, GitLab) and CI/CD workflows for DEV, QA, and PROD deployments.
• Working knowledge of cloud platforms, preferably Azure (with exposure to AWS or GCP), and secure data exchange mechanisms including APIs and SFTP.
• Excellent communication and cross-functional collaboration skills in a distributed SaaS organization.
• Willingness to be on call for night/weekend production support.
• Ability to think strategically about tools and technologies that enable analytics.

Technologies

• Fivetran, dbt, Python, Snowflake, SQL, Scala
• APIs, NetSuite, Oracle EPM, O9, Salesforce
• Snowflake Cortex, MCP
• Dell Boomi, Airflow, Azure Data Factory
• GitHub, GitLab, CI/CD
• Azure, AWS, GCP
• SFTP
• ERP, CRM

Preferred Qualifications

• Master’s degree in Computer Science, Engineering, Information Systems, or related technical disciplines.
• Hands-on knowledge with at least one key BI market tool (Tableau, SAP BO, Oracle BI, MS Power BI).
• Experience working in the CPG industry.
• Willingness to be on call for night/weekend production support.

Skills and Mindsets

• Problem-Solving: analyze complex data challenges and deliver solutions aligned to business objectives.
• Get Things Done: strong work ethic with a sense of urgency.
• Drives Continuous Improvement: focus on effective, efficient work and continuous improvement.
• Detail Orientation: pays attention to details.
• Communication: strong verbal and written communication skills.
• Learning: stays current with trends and advancements in data engineering and related technologies.
• Thought leadership: shares viewpoints regardless of audience level.
• Proactivity: identifies issues and opportunities and addresses them independently.
• Adaptability: able to manage multiple priorities as they evolve.
• Ownership: accountable for outcomes rather than only executing tasks.
• Execution: manages forward progress across multiple projects and determines priority order.

Work Environment

• If based in the greater Bay Area, employees walk into the Emeryville office each Tuesday morning to start the in-person portion of the weekly all-company meeting.
• Employees living within 100 miles of the offices are expected to come in Tuesday through Thursday.

5 Capabilities or Mindsets Most Relevant to This Role

• Challenger Mindset: bias for action, comfort taking smart risks.
• Be a builder by creating for the future.
• Enterprise strategic view: take the full company perspective over departments or channels.
• Challenge ideas respectfully: share real opinions with conviction and ensure people feel heard.
• Bring people along: provide context and cascade information openly and inclusively.

Compensation

USD 170,000 - 180,000 per year.

Education

Bachelor’s degree in computer science, Engineering, Information Systems, or related technical disciplines.

Benefits

• Year-round ½ day Fridays
• In-office massages
• Free lunches & snacks
• Dogs in the office
• Culture of belonging celebrations
• Engaging in-office events, including bring your kids to work day
• 6% 401k match after 1 year
• Generous paid family leave regardless of gender
• All positions bonus-eligible
• Company-wide volunteer days
• Company-matched charitable donations
• No employee handbook
• No dress code
• Coaching conversations instead of performance reviews
• Walking meetings

Interview Process

• Quick 30-minute phone chat with a member of Talent Acquisition to review background and answer questions.
• A short series of in-person or video interviews in a 1:1 format, typically with the hiring manager, one or two team members, and someone from another team.
• A case study or job task may be included to simulate work in the role.
• An in-depth consultative process to evaluate fit for the role.
• Interviewers come prepared with a yes or no vote beforehand, including supporting reasons, to avoid groupthink.
• A trained, disinterested bias blocker is present to mitigate bias.
• The hiring manager makes the final decision.