Need Data Engineer with Snowflake at Mclean, VA W2 Contract
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with Snowflake in Mclean, VA, offering a 12+ month W2 contract. Requires strong skills in Snowflake, AWS, SQL, Ab-Initio, ETL/ELT, and data architecture. Onsite presence is mandatory.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
September 25, 2025
🕒 - Project duration
More than 6 months
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🏝️ - Location type
On-site
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📄 - Contract type
W2 Contractor
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🔒 - Security clearance
Unknown
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📍 - Location detailed
McLean, VA
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🧠 - Skills detailed
#Ab Initio #Data Science #Deployment #Metadata #Compliance #Data Architecture #Data Engineering #AWS (Amazon Web Services) #Data Pipeline #Documentation #Data Modeling #"ETL (Extract #Transform #Load)" #Data Management #Complex Queries #S3 (Amazon Simple Storage Service) #Leadership #Scala #Snowflake #IAM (Identity and Access Management) #Data Quality #Automation #Clustering #Cloud #Lambda (AWS Lambda) #Data Lineage #SQL (Structured Query Language)
Role description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, CaritaTech LLC., is seeking the following. Apply via Dice today!
Job Title: Data Engineer with Snowflake
Location: Mclean,VA (Relocation profiles also workable)
Duration: 12+ months
Contract Type: W2 (No C2C/C2H) only W2 contract
Need strong experience with Snowflake, AWS, SQL, Ab-Initio, Data Architecture, ETL/ELT, Cloud Integration, Data Quality and Performance Optimization. This would be an onsite role at Arlington, VA. Below is the description for reference.
Key Responsibilities:
ETL/ELT Development: Architect and maintain high-performance data pipelines using Ab Initio, handling complex transformations and large data volumes.
Cloud Data Engineering: Build and optimize data platforms on AWS, leveraging services like S3, Lambda, Glue, and IAM for secure, scalable workflows.
Snowflake Expertise: Design efficient schemas, implement clustering strategies, and tune performance for analytics workloads in Snowflake.
Advanced SQL: Develop complex queries, stored procedures, and data validation logic to support reporting, analytics, and downstream systems.
Data Modeling & Governance: Lead efforts in dimensional modeling, metadata management, and data lineage to ensure consistency and compliance.
Performance & Quality: Conduct tuning across ETL jobs and cloud components; implement data quality frameworks to ensure reliability.
Cross-Functional Collaboration: Partner with analysts, data scientists, and business stakeholders to deliver scalable, value-driven solutions.
Mentorship & Leadership: Guide junior engineers, enforce best practices, and contribute to architectural decisions and roadmap planning.
Innovation & Automation: Evaluate new tools, drive automation initiatives, and continuously improve pipeline efficiency and deployment velocity.
Leverage industry best practices and methods.
Define documentation to support the implementation of best practices.
Good communication and stakeholders management.
Dice is the leading career destination for tech experts at every stage of their careers. Our client, CaritaTech LLC., is seeking the following. Apply via Dice today!
Job Title: Data Engineer with Snowflake
Location: Mclean,VA (Relocation profiles also workable)
Duration: 12+ months
Contract Type: W2 (No C2C/C2H) only W2 contract
Need strong experience with Snowflake, AWS, SQL, Ab-Initio, Data Architecture, ETL/ELT, Cloud Integration, Data Quality and Performance Optimization. This would be an onsite role at Arlington, VA. Below is the description for reference.
Key Responsibilities:
ETL/ELT Development: Architect and maintain high-performance data pipelines using Ab Initio, handling complex transformations and large data volumes.
Cloud Data Engineering: Build and optimize data platforms on AWS, leveraging services like S3, Lambda, Glue, and IAM for secure, scalable workflows.
Snowflake Expertise: Design efficient schemas, implement clustering strategies, and tune performance for analytics workloads in Snowflake.
Advanced SQL: Develop complex queries, stored procedures, and data validation logic to support reporting, analytics, and downstream systems.
Data Modeling & Governance: Lead efforts in dimensional modeling, metadata management, and data lineage to ensure consistency and compliance.
Performance & Quality: Conduct tuning across ETL jobs and cloud components; implement data quality frameworks to ensure reliability.
Cross-Functional Collaboration: Partner with analysts, data scientists, and business stakeholders to deliver scalable, value-driven solutions.
Mentorship & Leadership: Guide junior engineers, enforce best practices, and contribute to architectural decisions and roadmap planning.
Innovation & Automation: Evaluate new tools, drive automation initiatives, and continuously improve pipeline efficiency and deployment velocity.
Leverage industry best practices and methods.
Define documentation to support the implementation of best practices.
Good communication and stakeholders management.
