About Our Organization

Campfire is an analytics collective specializing in digital data collection, synthesis, and activation. Analysts, marketers, engineers: together we're experts in architecting systems, operationalizing data, and driving insight. Our mission is to build sustainable analytics solutions for companies large and small - solutions that are flexible, scalable, and easy for your teams to maintain over time.

About The Role

At Campfire, a successful Data Engineer will be able to strike a balance between strategy and execution to ultimately deliver best-in-class client service.  We're looking for bright and curious individuals who thrive on solving complex data infrastructure challenges and building scalable solutions that power analytics. Our consultants are passionate self-starters who operate comfortably with ambiguity and can navigate complex challenges with minimal oversight.

• Partner with internal team members and stakeholders to understand business needs and build data solutions that support analytics and reporting
• Implement scalable and efficient data architectures in cloud environments
• Develop and maintain data pipelines using SQL and Python to ingest, transform, and load data from APIs, SaaS platforms, and operational databases into cloud data platforms 
• Build clean, well-structured datasets using SQL and other transformation workflows, following data modeling best practices 

Minimum Qualifications

• 2+ years of professional experience working with data pipelines, data analysis, or data engineering–related projects (including internships or equivalent experience) 
• 2+ years of work experience working with cloud platforms such as: Azure, AWS, or Google Cloud Platform
• Familiarity with working in notebook-based environments such as Databricks, Jupyter, or similar platforms -
• 1+ years of work experience writing SQL queries across large datasets such as clickstream data (terabytes)
• 1+ years of experience working with data visualization tools such as Power BI, Tableau, or Looker
• On-the-job experience with version control systems (e.g., Git) and DevOps best practices

Preferred Qualifications

• Consulting and/or agency experience
• Familiarity with digital marketing concepts
• Hands-on experience working with digital media and clickstream/tapstream data
• 2+ years of experience with modern cloud data warehouses/lakehouses (BigQuery, Snowflake, Fabric, etc.)
• 1+ years of experience with transformation tooling (dbt)
• Exposure to data orchestration tooling (Airflow, Dagster, Cloud Composer, Azure Data Factory, etc.)
• Exposure to Azure Databricks or similar distributed data processing platforms
• Exposure to time series forecasting libraries such as Prophet or similar tools
• Experience preparing datasets for forecasting, machine learning, or predictive analytics workflows
• Familiarity with PySpark or distributed data processing concepts

Our Compensation & Benefits

• Compensation: The base salary pay range for this position is $60,000 to $120,000, dependent on specific level of skills and work & industry experience. Full-time employees are eligible for the annual profit sharing bonus upon 3 months of employment, and may be eligible for discretionary bonuses.
• Benefits: Full-time employees are eligible for the below.
• Competitive Medical/Dental/Vision coverage: premiums for the employee are covered
• Group Life, Short- & Long-term Disability coverage: premiums for the employee are covered
• PTO (Paid Time Off): flexible vacation policy, recommended 15+ days per calendar year
• PSST (Paid Sick & Safe Time): flexible sick policy
• Holidays: 11 days per calendar year
• 401(K) match: 100% for the first 1%, then matches 50% up to another 5% (max 3.5% match on 6% contribution)
• Training Stipend: $400 per calendar year
• Ergonomics Stipend: $400 per calendar year