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Data Engineer Snowflake & Databricks Specialist

Company:
aKube
Location:
Seattle, WA, 98104
Posted:
May 31, 2025
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Description:

City: Seattle WA / Orlando FL

Onsite/ Hybrid/ Remote: Hybrid (4 days a week Onsite)

Rate Range: Up to$92.5/hr on W2 depending on experience (no C2C or 1099 or sub-contract)

Work Authorization: GC, USC, All valid EADs except H1b

Duration: 7 months

Must Have:

4–6 years of experience with RDBMS

Hands-on experience with Databricks and Snowflake

Strong SQL and scripting capabilities (e.g., JavaScript, Python)

Experience with data aggregation and rationalizing software portfolios

Data modeling expertise (Data Vault or Dimensional Modeling)

Prior experience working in a large tech company

Cloud computing experience, particularly with AWS or Azure

Responsibilities:

Onboard, manage, and support non-relational database systems

Automate operational and business processes for distributed data platforms

Aggregate and consolidate data into Snowflake for enterprise-wide use

Collaborate with engineering teams to rationalize software portfolios

Design and implement data models optimized for Snowflake architecture

Monitor performance, ensure data security, and manage backup/recovery procedures

Develop and maintain technical documentation and standards

Troubleshoot and optimize complex SQL queries and cloud-based data solutions

Qualifications:

Bachelor’s degree in Computer Science, MIS, or related field

Expertise in SQL, scripting (JavaScript/Python), and ETL processes

Deep understanding of Snowflake features (e.g., semi-structured data handling, data sharing)

Strong performance tuning, validation, and data quality practices

Familiarity with integrating APIs, databases, and cloud storage solutions

Experience with security/compliance standards including RBAC in Snowflake

Excellent analytical thinking, problem-solving, and attention to detail

Strong communication and collaboration skills across cross-functional teams

Ability to adapt quickly to new Snowflake features and industry best practices

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