SENIOR DATA ENGINEER @ S3 CONNECTIONS
We are seeking a highly skilled Senior Data Engineer to design, develop, and optimize scalable data platforms that transform complex data into meaningful business insights. The ideal candidate will have strong expertise in SQL, Python, and ETL development, along with experience supporting cloud-based data migration and modern data ecosystems. You will be responsible for building and maintaining scalable ETL/data pipelines for structured and unstructured data while ensuring high-performance data solutions through advanced techniques. The role requires a presence onsite in McLean, VA, for five days a week to ensure close collaboration with team members and stakeholders.
The role involves collaborating with cross-functional teams to enhance data quality, accessibility, and system performance. You will implement best practices for data engineering, code quality, testing, and deployment. Additionally, the candidate will support cloud data migration initiatives, including data mapping, transformation, validation, and optimization. This position is critical for optimizing data workflows and ensuring high availability and reliability of data systems within an enterprise environment. Candidates should be prepared to create and maintain comprehensive technical documentation and data flow diagrams to support the platform's evolution.
The role involves collaborating with cross-functional teams to enhance data quality, accessibility, and system performance. You will implement best practices for data engineering, code quality, testing, and deployment. Additionally, the candidate will support cloud data migration initiatives, including data mapping, transformation, validation, and optimization. This position is critical for optimizing data workflows and ensuring high availability and reliability of data systems within an enterprise environment. Candidates should be prepared to create and maintain comprehensive technical documentation and data flow diagrams to support the platform's evolution.
Key Requirements
8+ years of experience as a Data Engineer
Strong expertise in SQL and Python
Hands-on experience building and maintaining ETL pipelines in enterprise environments
Experience working with large datasets and complex data architectures
Experience with cloud platforms such as AWS, Azure, or GCP
Strong understanding of data modeling, data warehousing, and data transformation techniques
Experience in data migration and integration projects
Excellent problem-solving, analytical, and communication skills
Familiarity with orchestration tools like Airflow
Experience with CI/CD tools such as GitHub or Jenkins