TELECOMMUTE Data Engineer - Databricks

Project Responsibility: End-to-end data pipelines and integrations

Technical Competencies:

• Advanced SQL optimization and complex query design
• Kafka streaming applications and connector development
• Databricks workflow development with medallion architecture
• Data governance implementation and compliance
• Performance tuning for large-scale data processing
• Data security and privacy best practices
• Apache NiFi pipeline development for invoice and PO processing
• Integration with purpose-built data stores (Druid, MongoDB, OpenSearch, Postgres)
• Build and maintain end-to-end ML pipelines for training, deployment, and monitoring of models.
• Design and optimize data architectures for large-scale ML workloads
• Explore and implement LLM-based solutions, RAG architectures, and generative AI for business use cases., for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products.

• Cross-functional collaboration with product and engineering teams
• Technical mentoring for junior data engineers
• Analytical thinking for complex data problems
• Stakeholder communication for data requirements
• Process improvement and efficiency focus
• Quality mindset for data accuracy and reliability Vendor Management:
• Direct communication with data platform vendors
• Evaluates vendor tools for specific data use cases
• Provides technical feedback on vendor product roadmaps
• Coordinates with vendors for data integration projects

Qualifications:

Bachelor’s/Master’s in Computer Science, Data Engineering, Statistics, or related field.

5+ years in data engineering; 2+ years applying ML in production. Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual’s skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company’s 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring