Data Engineer
$145k - $155kSocket
Here’s what all the hype is about…Premier Nutrition Company (PNC) is one of the fastest-growing companies in the proactive wellness space showing clear leadership in the category of protein shakes and powders. We make the brands Premier Protein and Dymatize, and are part of our publicly traded holding company, BellRing Brands (NYSE: BRBR). We have a simple, yet powerful, formula for our success, which we’ve been nailing since our founding in 1997. We start with an organization powered by our company purpose—Changing Lives with Good Energy. Then our purpose-driven people are given the support and autonomy to develop and grow. Next, we are super-intentional about designing a culture where everyone feels like they truly connect and belong, which is one of our five company core values. Purpose-driven, connected employees deliver amazing business results. And winning companies with remarkable people and thriving cultures attract and retain top talent, so the cycle becomes self-reinforcing or what we call our regenerative culture. We don’t mind sharing our formula, since we believe the world would be a better place if more workplaces treated adults like adults and gave them the platform to do the best work of their lives—alongside some truly amazing colleagues. Why don’t more companies do this? It takes deep-in-your-bones conviction to your people, products, and purpose to pull it off. It also takes resisting the urge to try to control people, and instead, trusting them to make the right decisions. The result of our vibrant culture speaks for itself: We were certified as a Great Place to Work™ for the 9th year-running in 2025. And we currently rank #8 on Fortune Magazine’s Best Workplaces in our category and were in the top 12 for each of the last 7 years. We have a long list of ways we take care of our people, but here are some crowd-pleasers that our employees often say they love most: 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, and walking meetings. PNC seeks individuals who will flourish in this type of work environment and will add to our culture and help build this high-growth company for the next phase in our amazing journey. Does this sound like you? Then read on… We believe in the power of mindset, and specifically what we call the Challenger Mindset. Do you take smart, bold risks, display relentless hunger, and see yourself as a builder? We’re looking for individuals who choose action over analysis paralysis—those who start before they feel completely ready, make calculated moves based on the best information available, and build momentum through decisive action rather than perfect planning. You should have an insatiable drive that keeps you agile and forward-thinking, always challenging assumptions, seeking new opportunities, and focusing on long-term impact over short-term wins. Above all, you’re a builder—someone who transforms the status quo, finds smarter, simpler, faster ways to get things done, and inspires others to do the same.
#LI-HYBRID
The role you’re interested in… As a Data Engineer, you will help our company solve their most challenging problems and drive decisions with data. As a member in our Enterprise Data Intelligence team, you will be at the center of data and analytical innovation and adoption. In this role, you will drive value by migrating, acquiring, maintaining, and evolving our data integration process and platform. Activities range from data acquisition and validation, designing and implementing ETL/ELT data pipelines, designing and implementing databases, job suite execution and monitoring, support testing, troubleshooting, and system analysis. You will be collaborating with all our departments to build end-to-end data infrastructure and pipelines that promote reporting and advanced analytics and further business process evaluation. The work environment… So, what’s it like to work here? If you’re based in the greater Bay Area, you’ll walk into our Emeryville office each Tuesday morning and start the in-person portion of our hybrid work week at our weekly all-company meeting and find close to 200 of your colleagues, some sitting with their dogs, talking excitedly through the week ahead and watching a newer teammate tell their personal life and career journey followed by a quick update on any hot topics that might be relevant to the week ahead. We are a dynamic, HYBRID workplace so every employee who lives within 100 miles of our offices is expected to come in Tuesday through Thursday. We are very intentional about connecting in person for things like innovation, impromptu collaboration, having respectful challenges to get to better decisions, leadership role-modeling, and culture building. Great work cultures are built on stories about what great looks like in practice, and great stories during virtual meetings just don’t happen. The expected pay scale for this role is $145k to $155k, which may vary based on relevant experience, qualifications, geographic area (if applicable), and internal equity for the role. At the beginning of 2026, we moved into our massive modern 133,000 square foot headquarters in Emeryville, California, complete with spacious personal workspaces, gym with rock-climbing wall, a café, free onsite parking, tons of greenery, and many transportation options. You’re excited about this opportunity because your time will be filled with… Design, Develop, and Maintain Data Infrastructure and Pipelines: 60% of your time Design, build, and maintain cloud-native data pipelines and infrastructure to support analytics, reporting, and data science use cases in a SaaS-based environment. Perform all stages of the data lifecycle: 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, delivering reliable and scalable data solutions. Develop and maintain data models, data marts, APIs, and automation scripts to streamline analytics workflows. Design and deploy database schemas, tables, and views in Snowflake across multiple environments (DEV, QA/UAT, PROD). Collaborate with stakeholders to translate business requirements into robust technical designs. Support documentation, training, and enablement to drive adoption of enterprise data assets. Enhance and Optimize DataOps Operational Excellence: of your time 30% Protect the data pipeline! Your mission is to monitor the production schedule, troubleshoot any failures, and ensure that the processes are running smoothly. Monitor data quality and dig in deep to find solutions to problems when they arise. Administer Snowflake security strategy and database management. Fine-tune and optimize databases, queries, and pipelines for improved performance and efficiency. Proactively identify processes that would benefit from system automation to improve the Enterprise Data Intelligence team effectiveness and increase operating efficiencies. Research and test new technology solutions, assist in vetting architectural changes/database design that would have to occur to support enterprise adoption and determine impacts. Data Warehouse Administration: 10% of your time Follow documented procedures for configuring, maintaining, upgrading, testing, and deploying as a database administrator. Ensure best technical practices are followed for all enterprise database administration for the best user experience and sustainable design. What are we looking for? Education: Bachelor’s degree in Computer Science, Engineering, Information Systems, or related technical disciplines. Experience: 5–7 years of experience as a Data Engineer working within cloud-native and SaaS-based environments, supporting enterprise data platforms built on data warehouses, data lakes, and application databases (e.g., Snowflake, Oracle, SQL Server). 5+ years of SQL experience with proven 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 data pipelines, dimensional models, and data marts using modern tools such as dbt, Fivetran, or equivalent cloud-based frameworks. Demonstrated experience working with SaaS data sources and APIs, integrating data from 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 (e.g., Snowflake Cortex, MCP, or similar technologies) to enhance automation and data intelligence. Experience with data integration and orchestration tools (e.g., Dell Boomi, Airflow, Azure Data Factory, or equivalent). Strong understanding of data governance, observability, lineage, and data quality management in a cloud environment. Experience using Git-based version control systems (e.g., GitHub, GitLab) and CI/CD workflows for deployment across multi‑environment pipelines (DEV, QA, PROD). 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, with the ability to work cross‑functionally in a distributed SaaS organization. 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. Ability to think strategically about tools and technologies that enable analytics. Experience working in CPG industry. Skills Problem‑Solving: Ability to analyze complex data challenges and develop innovative solutions that align with business objectives. Get Things Done: Great work ethic and moves with a sense of urgency. Drives Continuous Improvement: Always focusing on effective and efficient work and ways to get better. Obsesses over the Details and committed to paying attention to the details Demonstrated excellent verbal/written communication skills. Life long learner: A passion for staying up-to-date with the latest trends and advancements in data engineering and related technologies. Provocative thinker who is courageous to share his or her thoughts regardless of the level of the audience Self‑motivated individual who can identify issues/opportunities for improvement and be proactive in addressing them Able to wear many hats and multitask as priorities evolve and change Demonstrates ownership of outcomes vs being an order taker of tasks Manage the forward progress on multiple projects and determine priority order Bring a sense of fun, passion and positive attitude to every day So, if after reading through this long list you’re thinking—I’m not sure I meet 100% of these requirements, should I still apply? YES—if you embody a growth mindset, see challenges as opportunities to develop, and find innovative ways to get the real work that matters done, you sound like our kind of candidate! The 5 capabilities or mindsets most relevant to this role: Challenger Mindset—bias for action, hungry to get after it, comfortable 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 by sharing your real opinion with conviction; disagree in a way people feel heard Bring people along by providing context and cascading information; share openly and inclusively You will thrive here and may just do the best work of your life if… You are hungry, are comfortable with smart risks, You like to get sh*t, I mean—stuff done You can be both clear and kind—empathetic yet hold people accountable You want to be an integral part of shaping an amazing work culture and being a culture‑add You are comfortable being natural, casual, open, and even a bit playful at work This may not be your ideal next career move if you like…- a lot of structure, rules, and uniformity
- a lot of command and control management
- a “big company” impersonal, cog-in-the-machine vibe—that ain’t us
- to build a beautiful, orderly bureaucracy
- things to not change much (we suggest the elevator business for that)
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$145k - $155k
...simpler, faster ways to get things done, and inspires others to do the same. #LI-HYBRID The role you're interested in... As a Data Engineer, you will help our company solve their most challenging problems and drive decisions with data. As a member in our Enterprise...SuggestedTemporary workCasual workWork at officeLocal areaNight shiftWeekend workDay shift$100k
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$98k
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$140k - $180k
...Job Description Job Description Job Title: Senior Data Engineer Industry: Healthcare Location: Emeryville, CA Assignment Type: Full time, direct hire Expected Salary: $140-180k Work Schedule: Hybrid, 1 day a week Benefits: This position is eligible...Full timeLocal areaShift work1 day per week- Your Role The Data Services team is responsible for technical design and end-to-end delivery of complex data-driven solutions and data products for the enterprise. The Data Engineer, Senior will report to the Sr Manager, Data Solutions / Manager. This role is responsible...
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$15k
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$145k - $155k
Premier Nutrition is seeking a Data Engineer to design, build, and maintain cloud-native data pipelines and platforms supporting analytics and data science initiatives. You will work in our Enterprise Data Intelligence team to create robust data models, pipelines, and automation...- Premier Nutrition Company (PNC) is seeking a Data Engineer to drive data integration, ETL/ELT pipelines, and data infrastructure. You will migrate and evolve our data platform to enable reporting and advanced analytics across business units. You’ll collaborate with multiple...Work at office
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$131.76k - $161.06k
Lawrence Berkeley National Laboratory is hiring a Scientific Data Engineer within the Scientific Data Division. The Computational Biosciences Group has an immediate opening for a software and data engineer in the area of multi-modal data modeling and analysis with applications...Full timeWork experience placementImmediate start- We are seeking a hands-on Lead Data Engineer to join the Data & AI Supply Chain organization and drive the design, development, and delivery of enterprise-scale data products on Google Cloud Platform (GCP). This role will support Supply Chain initiatives across Sourcing...Hourly payFreelance
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