Data Engineer at Campfire LLC

Seattle, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

15 May, 26

Salary

120000.0

Posted On

14 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Python, Spark, APIs, Data Modeling, ETL, ELT, Azure, AWS, Google Cloud Platform, Data Warehousing, Git, Power BI, Tableau, Looker, DAX

Industry

Software Development

Description

Description 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. Requirements Partner directly with clients to understand business problem, project goal, and requirements both functional and technical Architect end-to-end solutions from ingestion, storage, prepping, and modeling to serve client needs Build scalable data pipelines programmatically using languages such as SQL, Python, or Spark, including extracting data using APIs Implement data structures using data modeling, ETL/ELT processes, and SQL technologies Minimum Qualifications 2+ years of work experience with data warehousing, data modeling and building ETL pipelines using Python/C#/.NET 2+ years of work experience working with cloud-based technologies such as: Azure, AWS, or Google Cloud Platform 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 Experience with distributed data/ cloud computing tools: Azure, AWS, Map/Reduce, MS Cosmos, Hadoop, Hive, Spark Experience with DAX and MDX (eg: Ranking, date changing, data transformations, relating data) 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

Responsibilities

The Data Engineer will partner directly with clients to understand business needs and architect end-to-end solutions covering ingestion, storage, prepping, and modeling data. This role involves building scalable data pipelines programmatically using languages like SQL, Python, or Spark to serve client requirements.