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Solution Engineer - Data Engineering Specialist

Job in Coos Bay, Coos County, Oregon, 97458, USA
Listing for: Snowflake
Full Time position
Listed on 2025-12-22
Job specializations:
  • Engineering
    Data Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Why consider this job opportunity

  • Opportunity for career advancement and growth within a rapidly expanding company
  • Competitive salary and benefits package
  • Work alongside industry leaders in a collaborative and innovative environment
  • Engage with cutting-edge technologies and contribute to impactful projects
  • Chance to work directly with executives and technical teams to solve complex business challenges
What to Expect (Job Responsibilities)
  • Provide technical leadership in the design and architecture of the employer's Cloud Data Platform for enterprise clients
  • Collaborate with sales teams to understand customer needs and strategize on effective sales cycles
  • Demonstrate the value of the employer's technology through presentations, demos, and proof of concepts
  • Maintain a deep understanding of industry trends and competitive technologies to position the employer effectively
  • Work closely with Product Management, Engineering, and Marketing to enhance products and marketing strategies
What is Required (Qualifications)
  • 10+ years of architecture and data engineering experience in the Enterprise Data space
  • 5+ years of experience in a pre-sales environment (e.g., Sales Engineer, Solutions Engineer)
  • Exceptional presentation skills for both technical and executive audiences
  • Proven ability to connect customer business problems with the employer's solutions
  • Strong hands‑on development experience with technologies such as SQL, Python, and various big data technologies
How to Stand Out (Preferred Qualifications)
  • Experience designing interoperable data lakehouse architectures
  • Familiarity with streaming technologies and real‑time use cases
  • Master's Degree in computer science, engineering, mathematics, or related fields
  • Broad experience with large‑scale Database and Data Warehouse technologies
  • Deep understanding of data integration services and tools for building data pipelines

We prioritize candidate privacy and champion equal‑opportunity employment. Central to our mission is our partnership with companies that share this commitment. We aim to foster a fair, transparent, and secure hiring environment for all. If you encounter any employer not adhering to these principles, please bring it to our attention immediately.

We are not the EOR (Employer of Record) for this position. Our role in this specific opportunity is to connect outstanding candidates with a top‑tier employer.

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