Demo

Sr. Data Engineer

Peet's
Emeryville, CA Full Time
POSTED ON 1/25/2025
AVAILABLE BEFORE 4/23/2025

Since 1966, when Alfred Peet opened the first Peet's Coffee in Berkeley, California, our mission has remained the same : to achieve the perfect cup. Today, we still stubbornly follow the same practices as Alfred Peet himself : Meticulous selectivity at origin, roasting each small batch by hand, and a commitment to delivering coffee to stores obsessively fresh.

Peet's is a fast-paced environment, at an extremely exciting time of expansion.

Peet's Coffee and Tea is seeking a Sr. Data Engineer to lead all aspects of data infrastructure and data lifecycle tasks. The Sr. Data Engineer will manage and maintain scalable data pipelines and build out new integrations to support continuing increases in data volume and complexity. The candidate's primary responsibilities will center around data infrastructure and ETL / ELT processes : designing and implement data pipelines, managing data warehouse security and administration, exposing and deploying machine learning models to production, and ensuring data quality and consistency across various sources. Additionally, the successful candidate will be an exceptionally strong communicator, team player, creative problem solver and technically savvy. The candidate will need to be comfortable wearing multiple hats - working on tasks such as direct engagement and communication with non-technical audiences, resolution to production data pipeline errors, development of Power BI reports using UI best practices, and implement sound SDLC processes for version control and CI / CD. The Sr. Data Engineer will engage with business, IT and digital product management teams as a thought partner.

If you are excited by solving complex challenges and growing your career within an iconic, well established quick service restaurant & CPG Brand, and are passionate about working with cutting edge cloud data & visualization platforms, we'd love to hear from you!

What You Will Do

  • Design, develop, optimize, and maintain data architecture and pipelines for analyzing large data sets and identify patterns and relationships
  • Develop BI reports for various parts of the business
  • Monitor cloud infrastructure usage and costs
  • Solve complex data problems to deliver insights that help the organization achieve its goals
  • Manage data sources, organize data and create data assets using proprietary tools
  • Design and implement cloud security and access control mechanisms to protect the data from unauthorized use
  • Interact with other technology teams to define, prioritize, and ensure smooth deployments for other operational components
  • Advise, consult, mentor, and coach other data and analytics professionals on data standards and practices
  • Foster a culture of sharing, reuse, design for scale stability, and operational efficiency of data and analytical solutions
  • Codify best practices for future reuse in the form of accessible, reusable patterns, templates, and code bases to facilitate data capturing and management

Qualifications

  • Bachelor's degree in computer science or engineering, information technology from a top university or equivalent job-related experience.
  • 5 to 7 years overall experience in a technical data environment
  • 2 years experience working in a technical production environment
  • 3 years experience in cloud data environment administration, data architecture, data modeling [e.g. Microsoft Azure, AWS, Snowflake]
  • 3 years analytics and data visualization development experience using best in class enterprise tools such as Power BI, Tableau, Looker, R, Python
  • 3 years experience with data integration using tools such as FiveTran, dbt, Matillion, Snaplogic, Informatica
  • Workload automation and orchestration experience using tools such as Control-M, Forta JAMS, Apache Airflow, AutoSys
  • Strong experience with SQL and coding languages such as Python
  • Experience with version control processes and tooling using Git, DevOps
  • Self-starter and creative problem solver. Willingness to accomplish tasks and anticipate future demand. Exposure to technical project management methodologies.
  • Exceptional communicator. Experience managing client relationships and presenting to non-technical audiences.
  • Experience delivering meaningful data products that directly impact overall goals and objectives of an organization.
  • Experience in performance tuning of data applications and data infrastructure.
  • Other Qualifications

  • Experience collaborating with business analysts, data scientists, machine learning engineers, and product managers
  • Willingness to work and coordinate with employees in multiple time zones.
  • Thrives in a fast-paced work environment and can juggle multiple projects simultaneously.
  • Respectful and comfortable communicating across multiple channels [e.g. text, chat, email, phone]
  • Deep desire to make an impact and to do the right thing
  • Peet's Home Office is a Hybrid worksite, which requires Home Office employees to work onsite 3 days per week (Emeryville, California).

    At Peet's we hire the best people and are committed to supporting our employees and rewarding them for their work. The target annual base salary range for this position is $140,000 - 175,000 . The actual base salary offered depends on a variety of factors, which may include, as applicable, the applicant's qualifications for the position; years of relevant experience; specific and unique skills; level of education attained; certifications or other professional licenses held; other legitimate, non-discriminatory business factors specific to the position; and the geographic location in which the applicant lives and / or from which they will perform the job. Peet's offers a generous benefits package to full-time employees, which includes comprehensive health, dental and vision plans; a superior 401(k) plan, various paid time off programs; employee discount / perks; life insurance; disability insurance; flexible spending accounts; and an employee referral bonus program.

    Salary : $140,000 - $175,000

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