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Lead Engineer, Data Platforms

Remote / Online - Candidates ideally in
Muncie, Delaware County, Indiana, 47303, USA
Listing for: Dutch Bros Coffee
Remote/Work from Home position
Listed on 2026-06-28
Job specializations:
  • IT/Tech
    Data Engineering
Salary/Wage Range or Industry Benchmark: 120000 - 150000 USD Yearly USD 120000.00 150000.00 YEAR
Job Description & How to Apply Below

It’s fun to work in a company where people truly believe in what they are doing. At Dutch Bros Coffee, we are more than just a coffee company. We are a fun-loving, mind-blowing company that makes a difference one cup at a time.

Position Overview

We are seeking a highly experienced and skilled Lead Engineer, Data to join our team. This individual will be responsible for modernizing, integrating, and optimizing Dutch Bro’s foundational data ecosystem. This individual will play a crucial role in building world-class data platforms that power analytics, machine learning, and AI-driven workflows and will be responsible for designing and implementing highly scalable and resilient data infrastructure.

The ideal candidate will have extensive experience in Snowflake database administration, data modeling, database migration, and is responsible for designing, building, and maintaining data cloud platforms that enable us to collect, store, process, and analyze vast amounts of data efficiently and effectively. This is a great opportunity for someone who thrives in an evolving environment, is eager to learn, and is ready to contribute innovative ideas.

If you’re humble, hungry, and excited to grow your skills, we’d love to have you join our team!

Job Qualifications
  • Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or related study, or 4 years of experience, required
  • 7+ years of data and/or software engineering experience, with at least 4 years focused on backend distributed systems or data infrastructure at scale.
  • Deep Engineering Roots:
    You are an expert coder (Python and SQL) who grew up building software. 4+ years deep Python and SQL experience.
  • Hands‑on expert‑level knowledge and experience with Snowflake (Snowpipe, SnowSQL, replication, data‑sharing), Airflow, and Power BI for production‑grade data solutions.
  • Mastery of AWS services (IAM, VPC, Glue, S3, SFTP, Lambda, Cloud Watch, SNS), Gitlab CI/CD, Data Dog Monitoring/alerting.
  • Real‑time ETL/ELT and Big Data pipeline experience, especially with Kafka, Workato, ADF, Matillion, and DBT.
  • Expertise in implementing automated CI/CD pipelines, infrastructure as code, and fostering a unified engineering culture across disciplines.
  • Nice to have
    - Passion and drive for a POC / designing RAG architecture, vector databases, or integrating LLMs into data pipelines.
  • Familiarity with data privacy regulations knowledge (GDPR, CCPA) and Attribute‑based data security.
  • Snowflake administration knowledge, preferred.
  • Knowledge and experience with Data Governance
    - Data Quality, Metadata management, Data Security, Data Archive is preferred.
  • Strong problem‑solving, analytical, and critical‑thinking skills with a focus on business insights.
  • Excellent communication for conveying technical concepts to non‑technical stakeholders.
  • Proven ability to work collaboratively in cross‑functional teams.
  • Adaptable and proactive in learning new technologies in a dynamic data environment.
  • Strong time management skills to handle multiple projects and ensure high‑quality deliverables.
Location Requirement

This position is eligible for remote work within any state Dutch Bros currently resides in (AL, AZ, CA, CO, FL, , KS, KY, MO, NM, NV, OK, OR, TN, TX, UT, WA, WY).

Key Result Areas (KRAs)
  • Seamless Snowflake Implementation:
    Successfully develop and deploy production‑grade data solutions on Snowflake, Databricks, or similar tools.
  • Optimized Data Pipelines:
    Design and enhance ETL/ELT pipelines and data transformations for efficiency, supporting advanced analytics and real‑time data processing with technologies such as Kafka, Fivetran, Databricks, and Matillion or leveraging PySpark.
  • High‑Quality Data Models:
    Implement dimensional and data products to improve data accuracy and accessibility, enabling comprehensive ad‑hoc analysis, reporting, and visualization.
  • Advanced Analytics Support:
    Develop and maintain data engineering frameworks that support machine learning workflows and complex data analyses, ensuring that data is readily available for actionable insights.
  • Effective Communication and

    Collaboration:

    Articulate complex technical concepts clearly to non‑technical stakeholders and…
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