Data Engineer
Job Summary
Job Description
- 10-15+ years experience in data engineering and architecture.
- Hands-on expertise in both Databricks and Snowflake.
- Proven ability to architect end-to-end data platforms.
- Experience leading complex, high-impact data initiatives.
- Deep knowledge of data warehousing tools.
- Familiar with DBT and modern tools for batch ETL.
- Ability to explain technical decisions and mentor.
3 skills required
Job Details
We are currently looking for a Senior Data Engineer. Please apply and we can discuss!
Location: Onsite Seattle, Washington
Salary: $150-200K/annually
Benefits: Full benefits
Type: Full Time
Funding Round: N/A
Sponsorship Available: No
Most Important:
- 10–15+ years of experience in data engineering and architecture, including enterprise-level data platforms
- Hands-on expertise in both Databricks and Snowflake — not just using, but designing and implementing robust data solutions
- Proven ability to architect end-to-end data platforms and translate business needs into technical execution
- Experience leading complex, high-impact data initiatives with a focus on performance, scalability, and outcomes
- Deep knowledge of data warehousing tools like Teradata, Informatica, Apache Spark, or Hadoop
Qualifications:
- Strong background in data architecture, distributed systems, and scalable data processing
- Demonstrated ability to implement and optimize solutions on Databricks and Snowflake
- Experience designing data ingestion frameworks, analytical pipelines, and batch/streaming ETL
- Familiar with DBT and modern tools for batch ETL (a plus)
- Ability to explain technical decisions, lead architectural discussions, and mentor junior team members
- Strong communication skills — can clearly explain where you’ve solved similar challenges in the past
- Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)
Responsibilities:
- Design and implement modern data architecture for a new global analytics platform
- Ingest and transform data from diverse global grant recipients for analysis and reporting
- Leverage the best features of Databricks and Snowflake to build scalable, efficient systems
- Collaborate with analytics, insights, and AI/ML teams on strategic data initiatives
- Provide technical leadership and hands-on support in setting up pipelines, modeling data, and architecting solutions
- Review and vet candidate profiles and help build out the broader data engineering team
If the above seems like a fit, then apply!!
CRB Workforce, LLC provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
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