Snowflake Data Engineer - Hybrid in Seattle
About The Position
Weâre not like others, and neither are you. Unify Consulting is a collective of genuine, curious, seasoned consultants who unlock potential and deliver with purpose and excellence. We unify daring leaders to better the world and are always seeking co-creators, community-builders and truth-tellers who strive to multiply our positive impact. Our business is growing, and with the expansion comes an immediate need for building our team. We are currently seeking a Data Engineer to join our team. The Data Engineer is responsible for designing, developing, and maintaining scalable solutions that support both user applications and business analytics. As a Data Engineer with Unify Consulting, you will have the opportunity to work with cutting-edge technologies and collaborate with a talented team of professionals. We are unable to sponsor or transfer visas for this position. You must be authorized to work in the United States for any employer without requiring sponsorship or visa transfer now or in the future. Local residency requirement: Candidates must currently reside in the Seattle area to be considered for this role. We are unable to sponsor relocation or review applications from individuals outside the region.
Requirements
- 2+ years of consulting experience
- 5+ years' experience in a data engineering role.
- Professional experience with Snowflake
- Experience with SQL and relational databases.
- Professional experience programming with Python.
- Basic understanding of distributed systems and cloud computing platforms (e.g., AWS, Azure, GCP).
- Experience in designing, developing, and maintaining data pipelines and infrastructure.
- Able to work independently and as part of an agile team in a larger corporate environment.
- Excellent communication skills with the ability to relay information between technical and non-technical teams.
Responsibilities
- Design, develop, and maintain scalable data pipelines and processes to support data warehouses and lakehouses.
- Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
- Maintain best practices for data governance, data quality, and data security.
- Troubleshoot and resolve data-related issues in a timely manner.
- Implement and maintain security practices for sensitive data.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
501-1,000 employees
