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Cloud Data Engineer – Snowflake, Databricks

Likely ghost job

🕒 July 27

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

Where this job comes from

Posted on Empowers Staffing Inc's careers page, not through a job board

First seen by Remote Rocketship July 27

Still open on Empowers Staffing Inc's site. Checked 12 minutes ago.

Logo of Empowers Staffing Inc

Empowers Staffing Inc

11 - 50 employees

Founded 2020

💼 Consulting

🎯 Recruiter

🤖 Artificial Intelligence

Consulting • Recruitment • Artificial Intelligence

Empowers Staffing Inc is presented in the provided content as (or appears to be represented by) a Minnesota-based IT consulting and staffing/ staff-augmentation provider. The webpage content largely corresponds to LAK Technology — a firm offering IT consulting and digital transformation services for small- to mid-size businesses, including software engineering (QA & testing, mobile apps, UI/UX, project management), data analytics and AI/ML, cloud migration and DevOps, custom solution development, and team extension/staff augmentation. The site lists a St. Paul, MN address and contact details and emphasizes workforce extension, bespoke software solutions, and data & cloud services.

📋 Description

• Design and build scalable data pipelines (ETL/ELT) • Develop and optimize transformations in Snowflake or Data-bricks • Implement data modeling strategies (star schema, lake-house, etc.) • Improve query performance and cost efficiency • Integrate orchestration tools (Airflow or similar) • Support analytics and reporting teams with reliable datasets • Ensure data quality, governance, and monitoring • Collaborate with cross-functional teams on data initiatives

🎯 Requirements

• 4+ years of experience in Data Engineering • Strong SQL and Python skills • Hands-on experience with Snowflake and/or Databricks • Experience with Spark (batch and/or streaming) • Experience building ETL/ELT pipelines • Familiarity with orchestration tools (Airflow or similar) • Experience working in AWS, Azure, or GCP environments • Strong understanding of data modeling concepts

🏖️ Benefits

• Health insurance • Professional development

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