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.
Data Engineer
Job not on LinkedIn
🔥 1 minute ago
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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, build, and maintain scalable data pipelines • Build and maintain ETL and ELT pipelines • Design and optimize data models • Ensure data quality, reliability, and performance • Integrate data from APIs, databases, and third-party tools • Collaborate with analytics, BI, and product teams
🎯 Requirements
• 5+ years of experience in data engineering • Strong SQL and data modeling skills • Experience with Python or similar languages • Experience with cloud platforms such as AWS, Azure, or GCP • Familiarity with tools like Airflow, dbt, Spark, or similar. • Experience with modern data warehouses
🏖️ Benefits
• Health insurance • 401(k) matching • Flexible work hours • Paid time off • Remote work options
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