100% Remote Senior Data Engineer
About the Role
Overview Summit Human Capital is seeking a 100% Remote Senior Data Engineer to join a fully virtual team. In this role, you’ll design and build scalable data solutions for a leading financial client, collaborating with some of the top engineers in the industry. The ideal candidate will meet the following criteria: Requirements Proficiency in Python for scripting, automation, and data processing Experience designing, implementing, and consuming RESTful APIs Experience with relational databases such as SQL or Oracle. Strong understanding of API development and integration , including authentication and documentation Hands-on experience building and maintaining data pipelines (ETL/ELT) Solid knowledge of data warehouses (on prem) Familiarity with best practices in data modeling, performance optimization, and workflow automation Familiarity with the electrical utilities industry and related data systems Experience working within a DataMesh Responsibilities Manage portions of the data solution and work collaboratively with the team to create optimized data architectures and pipelines. Design data architecture and create technical specifications based on foundational knowledge of industry best practices. Implement and integrate data solutions based on architecture designs and technical specifications. Work closely with clients and stakeholders to understand their requirements and establish an implementation plan for the data development team. Recommend enhancements to data pipelines, data management processes, and suggest new ways to solve problems that arise from these processes. Develop and maintain scalable ETL/ELT pipelines. Automate data ingestion and transformation workflows. Seniority level Mid-Senior level Employment type Full-time Job function Information Technology Industries IT Services and IT Consulting Utilities Location and compensation Location: Richmond, VA Compensation: $135,000-$170,000 annually EEO: Summit Human Capital is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. #J-18808-Ljbffr
Responsibilities
- Design data architectures and pipelines
- Implement and integrate data solutions
- Develop and maintain scalable ETL/ELT pipelines
Qualifications
- Bachelor's or higher in a technical field
- 3+ years of experience in data engineering
- Experience with Python, SQL/Oracle, ETL/ELT, data warehousing
Benefits
Required Skills
Keywords
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