Sila Solutions Group Professional Services team is growing. We’re looking for a Data Engineer to design and build scalable data platforms partnering with cross-functional teams—data scientists, analysts, and engineers—to create reliable pipelines, optimize performance, and drive actionable insights for our clients.
Overview:
This role demands strong analytical ability, solid technical expertise, and excellent communication skills to translate complex data concepts into practical client solutions. You will work both independently and collaboratively in a fast-paced consulting environment, providing thought leadership in data strategy, architecture, and optimization.
Key Responsibilities:
- Client Engagement: Partner with clients to understand business goals and challenges, advising on data strategy, architecture, and transformation initiatives.
- Data Pipeline Development: Build and maintain scalable, reliable pipelines to integrate diverse data sources into centralized warehouses or lakes.
- Database & Architecture Management: Design, optimize, and administer database architectures, ensuring availability, performance, and security across relational, dimensional, and graph databases.
- Data Modeling: Develop logical and physical data models, applying schema design best practices and defining modeling standards.
- Data Governance & Compliance: Apply governance frameworks (GDPR, CCPA, etc.), documenting standards and ensuring alignment with data quality and security policies.
- Programming & Development: Use R, Python, or Java to build ingestion and transformation scripts, APIs, and data access services.
- Data Quality Assurance: Implement validation, cleansing, and monitoring processes to maintain data integrity and reliability.
- Collaboration: Partner with data scientists, analysts, and engineers to define requirements and deliver effective data solutions.
- Cloud Infrastructure: Deploy and manage data storage and processing platforms on AWS or other cloud environments (Azure, GCP).
- API Design & Integration: Design and manage APIs to enable seamless, secure data exchange across systems; ensure adherence to RESTful and authentication best practices.
- Automation & Optimization: Identify opportunities for workflow automation and performance improvements; experience with containerization/orchestration (e.g., Docker, Kubernetes) is a plus.
- Documentation: Develop and maintain technical documentation, including data models, APIs, process flows, deployment guides, and user materials.
- Continuous Improvement: Stay current on emerging technologies and trends, integrating innovations into client solutions.
- Soft Skills: Exhibit strong problem-solving skills, attention to detail, and the ability to communicate complex ideas effectively to technical and business stakeholders.
Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
- 5+ years of experience in data engineering or a related discipline.
- Experience working within SAFe/Agile environments.
- U.S. Citizenship or Permanent residency required.
Sila cannot sponsor work authorization for this role (e.g., H-1B, F-1 OPT, TN, or other visa types).
