Developer Jobs in Emeryville, CA

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Sr. Data Engineer

Premier Nutrition Company Emeryville, CA

Emeryville, CA

Today

$170k - $180k/yr Full time Senior Cloud Data Warehouse Data Analytics

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Job Description

As a Sr. Data Engineer on Premier Nutrition Company’s Enterprise Data Intelligence team, you will design, develop, and maintain cloud-native data infrastructure and ETL/ELT pipelines that power analytics, reporting, and data science use cases. You will also contribute to DataOps operational excellence and administer the Snowflake data warehouse, partnering with cross-functional teams to deliver end-to-end data infrastructure.

Responsibilities

Design, build, and maintain cloud-native data pipelines and infrastructure to support analytics, reporting, and data science use cases in a SaaS-based environment.
Own work across the data lifecycle, including requirements gathering, design, ingestion, transformation, modeling, testing, deployment, monitoring, and production support.
Implement and manage ELT pipelines using tools such as Fivetran, dbt, and Python to deliver reliable, scalable data solutions.
Develop and maintain data models, data marts, APIs, and automation scripts that streamline enterprise analytics workflows.
Design and deploy Snowflake schemas, tables, and views across multiple environments (DEV, QA/UAT, PROD).
Collaborate with stakeholders to translate business requirements into robust technical designs.
Support documentation, training, and enablement efforts to drive adoption of enterprise data assets.
Protect pipeline reliability by monitoring production schedules, troubleshooting failures, and ensuring processes run smoothly.
Monitor data quality and conduct deep investigation when issues occur to identify root causes and corrective actions.
Administer Snowflake security strategy and database management.
Fine-tune and optimize databases, queries, and pipelines to improve performance and efficiency.
Identify opportunities for automation to improve operating efficiencies within the Enterprise Data Intelligence team.
Research and test new technologies and assist with architectural changes and database design decisions to support enterprise adoption.
Follow documented database administrator procedures for configuration, maintenance, upgrades, testing, and deployments.
Ensure best practices for enterprise database administration to support a sustainable design and a strong user experience.

Requirements

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 built on data warehouses, data lakes, and application databases (including Snowflake, Oracle, 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, including integration from cloud-based systems such as NetSuite, Oracle EPM, O9, and Salesforce.
Exposure to or hands-on experience with AI/LLM frameworks such as Snowflake Cortex and MCP.
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 deployments across DEV, QA, and PROD pipelines.
Working knowledge of cloud platforms (preferably Azure, with exposure to AWS or GCP) and secure data exchange mechanisms (APIs, SFTP).
Excellent communication and collaboration skills to work cross-functionally in a distributed SaaS organization.
Must be willing 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

Benefits

Year-round ½ day Fridays
In-office massages
Free lunches & snacks
Dogs in the office
Culture of belonging celebrations
Engaging in-office events like 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

Work Environment

This role is based in Emeryville, CA with a hybrid schedule. If you live in the greater Bay Area, you will walk into the Emeryville office each Tuesday morning and begin the in-person portion of your hybrid week at the weekly all-company meeting. Every employee who lives within 100 miles of the offices is expected to come in Tuesday through Thursday.

Preferred Qualifications

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

Skills

Problem-Solving: analyze complex data challenges and develop solutions aligned with business objectives.
Get Things Done: strong work ethic with a sense of urgency.
Drives Continuous Improvement: focus on effective and efficient ways to improve.
Obsesses over the Details: attention to detail in delivery.
Demonstrated excellent verbal and written communication skills.
Life-long learner: interest in staying current with trends and advancements in data engineering and related technologies.
Provocative thinker: share ideas with conviction regardless of audience level.
Self-motivated: identify issues or opportunities and address them proactively.
Able to multitask: adapt as priorities evolve.
Ownership mindset: take ownership of outcomes rather than acting as an order taker.
Project prioritization: manage forward progress across multiple projects and determine priority order.
Bring a positive attitude and sense of fun to daily work.

Mindsets Most Relevant to This Role

Challenger Mindset: bias for action, comfortable taking smart risks, and a drive to execute.
Builder orientation: create for the future.
Enterprise strategic view: take the full-company perspective rather than focusing only on departments or channels.
Respectful challenge: share real opinions with conviction while ensuring disagreements are heard.
People enablement: provide context and cascade information openly and inclusively.

Interview Process

Quick 30-minute phone chat with a high energy member of the Talent Acquisition team for background overview and Q&A.
Short series of in-person or video interviews in a 1:1 setting, typically including the hiring manager, one or two other team members, and a person from another team.
A case study or job task may be included to simulate the work involved in the role.
An in-depth consultative process to evaluate fit for the right role and team.
Interviewers provide a strong yes or no vote beforehand with supporting reasons to help avoid groupthink.
A trained, disinterested bias blocker is present to mitigate bias and support a sound hiring decision.
The hiring manager makes the final decision.

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