Job Description

Job Title: Senior Cloud Data Engineer – Snowflake & ML-Ready Systems

Location: Seattle, WA, USA (4 days onsite, 1 day remote)
Type: Full-time
Industry: Information Technology (IT)
Experience Required: 8–13 years

About the role: A leading company in the digital platforms and products space is seeking a highly skilled Senior Data Engineer with expertise in building scalable data solutions using modern technologies.

The ideal candidate is a strong problem solver, detail-oriented, and capable of working in a collaborative environment to deliver high-value, greenfield solutions.

Key Responsibilities:

• 
  Design, develop, and maintain scalable data pipelines and orchestration workflows.
• Collaborate with cross-functional teams to define and implement data models that support key business use cases.
• Optimise data architecture for performance and reliability using technologies like Databricks and Snowflake.
• Write clean, maintainable code using Java, Scala, or Python.
• Ensure high data quality and performance through automated testing and monitoring.
• Engage in code reviews, architecture discussions, and provide input into system design decisions.

MUST HAVE Skills & Qualifications:

• 5+ years of experience in software or data engineering.
• Strong coding experience in Java, Scala, or Python .
• Hands-on experience with Databricks, Airflow , and AWS .
• Proficient in data warehousing and orchestration tools.
• Strong understanding of data modelling and transformation at scale.
• Clear communicator with a strong sense of ownership and attention to detail.

NICE TO HAVE Qualifications:

• Experience supporting machine learning pipelines and recommendation systems.
• Familiarity with A/B testing frameworks or product performance evaluation techniques.
• Prior experience with Snowflake in a production environment.
• Exposure to bandits or other experimentation mechanisms.

Additional Requirements:

• Local candidates in the Seattle area only.
• Must be eligible to work in the U.S - H1B Transfers possible (No OPT).

Contact Person: Elvis Eckardt

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