Solomon Page

Senior Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer in Atlanta, GA, for 8+ months at $45-55/hr on W2. Requires 5+ years in data engineering, strong Python and SQL skills, experience with Snowflake, DBT, and AWS Airflow.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
440
-
🗓️ - Date
April 28, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
On-site
-
📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
-
📍 - Location detailed
Atlanta, GA
-
🧠 - Skills detailed
#Data Processing #dbt (data build tool) #ML (Machine Learning) #Deployment #AWS (Amazon Web Services) #Data Engineering #Data Pipeline #Automation #Cloud #Data Quality #Datasets #Airflow #Snowflake #Python #SQL (Structured Query Language) #"ETL (Extract #Transform #Load)" #AI (Artificial Intelligence) #Monitoring #Strategy #Scala
Role description
We are seeking a Senior Data Engineer with strong hands-on expertise in building and maintaining enterprise-grade data pipelines in a modern cloud environment. This role is part of a critical data engineering workstream and requires someone who can quickly ramp up, work independently, and confidently operate in a client-facing setting. The ideal candidate will have a strong foundation in Python and SQL, along with experience in cloud-based data platforms and transformation tools. • Location: Atlanta, GA (Onsite) • Contract Duration: 8+ Months • Rate Range- $45-55/hr on W2 • Only W2 Candidates, NO C2C Responsibilities: • Design, build, and maintain scalable data pipelines and transformation workflows • Work with large datasets to enable efficient data processing and analytics • Collaborate with cross-functional teams and stakeholders to gather requirements and deliver solutions • Develop and optimize data models and transformations using modern data stack tools • Ensure data quality, reliability, and performance across pipelines • Support deployment, monitoring, and troubleshooting of data workflows • Engage in client-facing interactions, providing updates and technical insights Required Skills & Experience Technical Skills • 5+ years of experience in data engineering • Strong proficiency in Python and SQL (must-have) • Hands-on experience with Snowflake for data warehousing • Experience with DBT for data transformation and modeling • Experience with AWS Airflow for orchestration and workflow management • Strong understanding of data pipeline architecture and best practices AI / Automation (Nice to Have) • Exposure to AI/ML tools such as AWS Bedrock or Snowflake ML • Basic understanding of automation and AI-driven data workflows • Candidates without direct AI experience but strong core data engineering skills will still be considered Soft Skills • Ability to work independently with minimal supervision • Strong communication skills and ability to interact with clients • Quick learner with adaptability in fast-paced environments • Strong problem-solving and analytical mindset If you meet the required qualifications and are interested in this role, please apply today. The Solomon Page Distinction Solomon Page offers a comprehensive benefit program for hourly employees. We pride ourselves on offering medical, dental, 401(k), direct deposit and commuter benefits to our employees, including freelancers - which sets us apart in the industries we serve. About Solomon Page Founded in 1990, Solomon Page is a specialty niche provider of staffing and executive search solutions across a wide array of functions and industries. The success of Solomon Page reflects an organic growth strategy supported by a highly entrepreneurial culture. Acting as a strategic partner to our clients and candidates, we focus on providing customized solutions and building long-term relationships based on trust, respect, and the consistent delivery of excellent results. For more information and additional opportunities, visit: solomonpage.com and connect with us on Facebook, and LinkedIn. Opportunity Awaits.