

S3 Connections LLC
Senior Data Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer in McLean, VA, with a contract length of "unknown" and a pay rate of "unknown." Key skills include advanced SQL, Python, and ETL pipeline development. Experience in cloud data migration and enterprise environments is required.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
-
ποΈ - Date
April 3, 2026
π - Duration
Unknown
-
ποΈ - Location
On-site
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
McLean, VA
-
π§ - Skills detailed
#"ETL (Extract #Transform #Load)" #Automation #Data Quality #Data Management #Migration #Data Migration #SQL (Structured Query Language) #Azure #Deployment #Scala #Data Engineering #Documentation #GCP (Google Cloud Platform) #Python #AWS (Amazon Web Services) #Metadata #Cloud #Data Governance #Data Mapping #Consulting
Role description
Need ONLY H1- H4 - USC Local to VA Candidates...
Senior Data Engineer
Location: McLean, VA Local to VA Candidates...
Build modern data platforms that turn complex information into clear business value.
The Role
Weβre looking for a Senior Data Engineer to design, build, and optimize scalable data solutions that support critical business and client outcomes. In this role, youβll use your advanced SQL and Python expertise to develop robust ETL pipelines, support cloud data migration initiatives, and help shape reliable, high-performing data environments.
What Youβll Do
β’ Design, build, and maintain scalable ETL pipelines for structured and unstructured data
β’ Develop efficient, reliable data solutions using advanced SQL and Python
β’ Support cloud data migration projects, including data mapping, transformation, validation, and optimization
β’ Partner with cross-functional teams to improve data quality, accessibility, and platform performance
β’ Contribute to best practices in data engineering, documentation, testing, and deployment
What Weβre Looking For
β’ Proven experience as a Data Engineer delivering production-grade data solutions
β’ Advanced SQL and Python skills, with the ability to work across complex data sets and workflows
β’ Hands-on experience building and maintaining ETL processes in enterprise environments
β’ Experience supporting cloud-based data platforms and migration initiatives
β’ Strong collaboration and communication skills, with a thoughtful and structured approach to problem-solving
Bonus Points For
β’ Experience with modern cloud platforms such as AWS, Azure, or GCP
β’ Familiarity with data warehousing, orchestration, and pipeline automation tools
β’ Experience working in consulting, financial services, or other regulated environments
β’ Exposure to data governance, data quality, or metadata management practices
β’ Experience mentoring teammates or contributing to engineering standards
Need ONLY H1- H4 - USC Local to VA Candidates...
Senior Data Engineer
Location: McLean, VA Local to VA Candidates...
Build modern data platforms that turn complex information into clear business value.
The Role
Weβre looking for a Senior Data Engineer to design, build, and optimize scalable data solutions that support critical business and client outcomes. In this role, youβll use your advanced SQL and Python expertise to develop robust ETL pipelines, support cloud data migration initiatives, and help shape reliable, high-performing data environments.
What Youβll Do
β’ Design, build, and maintain scalable ETL pipelines for structured and unstructured data
β’ Develop efficient, reliable data solutions using advanced SQL and Python
β’ Support cloud data migration projects, including data mapping, transformation, validation, and optimization
β’ Partner with cross-functional teams to improve data quality, accessibility, and platform performance
β’ Contribute to best practices in data engineering, documentation, testing, and deployment
What Weβre Looking For
β’ Proven experience as a Data Engineer delivering production-grade data solutions
β’ Advanced SQL and Python skills, with the ability to work across complex data sets and workflows
β’ Hands-on experience building and maintaining ETL processes in enterprise environments
β’ Experience supporting cloud-based data platforms and migration initiatives
β’ Strong collaboration and communication skills, with a thoughtful and structured approach to problem-solving
Bonus Points For
β’ Experience with modern cloud platforms such as AWS, Azure, or GCP
β’ Familiarity with data warehousing, orchestration, and pipeline automation tools
β’ Experience working in consulting, financial services, or other regulated environments
β’ Exposure to data governance, data quality, or metadata management practices
β’ Experience mentoring teammates or contributing to engineering standards





