Data Engineer (Power BI, Snowflake, AWS SageMaker)

Alpharetta, GA, US • Posted 3 hours ago • Updated 3 hours ago
Contract W2
Contract Independent
Contract Corp To Corp
Able to Sponsor
On-site
$50 - $52/hr
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Job Details

Skills

  • Amazon S3
  • Amazon SageMaker
  • Amazon Web Services
  • Communication
  • Conflict Resolution
  • Analytical Skill
  • Analytics
  • Apache Spark
  • Big Data
  • Cloud Computing
  • Continuous Delivery
  • Continuous Integration
  • DAX
  • Dashboard
  • Data Flow
  • Data Link Layer
  • Data Modeling
  • Data Processing
  • Data Quality
  • Data Storage
  • Data Warehouse
  • Extract
  • Transform
  • Load
  • Machine Learning (ML)
  • Microsoft Power BI
  • Performance Tuning
  • Problem Solving
  • Python
  • SQL
  • SQL Tuning
  • Snow Flake Schema
  • Step-Functions
  • Training
  • Workflow

Summary

Job Title: Data Engineer (Power BI, Snowflake, AWS SageMaker)
Location: Alpharetta, GA (Hybrid)
Employment Type: Contract
In- Person Interview (L2)

Job Description
Role Overview
We are seeking a Data Engineer with strong expertise in Snowflake, Power BI, and large-scale data processing on AWS. The ideal candidate will have hands-on experience building scalable data pipelines and supporting machine learning workloads using distributed processing frameworks.
This role requires working with high-volume datasets (100M 300M+ records) and enabling efficient data flow for analytics and model training.

Key Responsibilities
  • Design, build, and maintain scalable data pipelines for large datasets
  • Develop and optimize data models and dashboards using Power BI
  • Work extensively with Snowflake for data warehousing, performance tuning, and query optimization
  • Support ML teams by preparing and processing data for model training at scale
  • Implement distributed data processing using Ray and Dask
  • Enable large-scale model training workflows on Amazon SageMaker
  • Ensure data quality, integrity, and governance across pipelines
  • Collaborate with data scientists, analysts, and business stakeholders

Required Skills & Qualifications
  • 6+ years of hands-on experience in Data Engineering
    • Power BI (dashboarding, data modeling, DAX)
    • Snowflake (data warehousing, SQL optimization)
  • Strong SQL skills for handling large-scale datasets
  • Experience working with 100M 300M+ records datasets
  • Hands-on experience with:
    • Distributed processing frameworks (Ray / Dask)
    • Data pipeline development and optimization
  • Experience with Amazon SageMaker for:
    • Scaling model training workflows
    • Data preparation for ML pipelines

Cloud & Big Data Skills
  • Experience with AWS ecosystem:
    • S3 (data storage)
    • SageMaker (ML workloads)
    • Lambda / Step Functions (nice to have)
  • Understanding of:
    • Distributed computing
    • Parallel processing techniques
    • Data partitioning and performance tuning

Nice to Have
  • Experience with Python for data processing
  • Exposure to Spark or other big data frameworks
  • Knowledge of CI/CD or data pipeline automation
  • Understanding of ML workflows and feature engineering

Top Responsibilities
  • Build scalable Snowflake-based data pipelines
  • Develop Power BI dashboards and data models
  • Enable large-scale ML training workflows using SageMaker + Ray/Dask

Soft Skills
  • Strong analytical and problem-solving skills
  • Effective communication and collaboration
  • Ability to work in fast-paced data environments
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91139928
  • Position Id: 8948772
  • Posted 3 hours ago

Company Info

About Argyll Infotech Inc

We are well-versed in a variety of operating systems, networks, and databases. We work with just about any technology that a small business would encounter. We use this expertise to help customers with small to mid-sized projects.

The world of technology can be fast-paced and scary. That's why our goal is to provide an experience that is tailored to your company's needs. No matter the budget, we pride ourselves on providing professional customer service. We guarantee you will be satisfied with our work.

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