Forward Deployed Data Engineer IV, Databricks
E Source · Remote · Remote ·
COMPENSATION
€•• – ••k
Listed on the employer's job board (Ashby)
- Senior Data Engineer
- Remote (US only)
- Databricks + AWS
- 30-50% Travel
- No Visa Sponsorship
Join the AI and Data Engineering team at E Source to solve operational challenges for North American utilities. You will embed directly with clients to understand their needs and build governed, reliable data systems in their environments. The work focuses on delivering trusted data flows quickly and hardening them for production use.
What you'll do
- Design and build end-to-end production data platforms for utility clients
- Own technical architecture and defend it to client stakeholders
- Run independent technical discovery to identify underlying business needs
- Deliver working systems within weeks and iterate toward production hardening
- Lead migrations from legacy warehouses to modern cloud platforms
- Model data using dimensional, lakehouse, or graph approaches as needed
- Integrate with utility source systems like SCADA, CIS, and AMI
- Build operator-facing application layers and data quality dashboards
- Manage scope, timeline, and expectations against statements of work
- Contribute reusable frameworks and reference architectures to internal teams
What you'll need
- Bachelor’s degree in computer science, IT, or a related field
- Five or more years of experience in data or analytics engineering
- Expert proficiency in Python, SQL, Databricks, and Spark
- Experience building cloud-based data pipelines in AWS
- Strong handling of idempotency, late-arriving data, and schema evolution
- Proficiency with Git, Docker, CI/CD tools, and orchestration frameworks
- Experience using AI coding assistants to rapidly prototype software
- Familiarity with utility industry systems and operational constraints
- Strong written communication and whiteboarding skills
Nice to have
- Master’s degree in a relevant STEM field
- Experience with graph database and knowledge graph modeling
- Background running streaming platforms like Kafka in production
- Experience building feature pipelines for ML and AI systems
- Proficiency in building Databricks Apps or frontend interfaces
- Knowledge of cost and performance optimization in Databricks
- Holding a Databricks certification
Stack
- Databricks
- Spark
- Python
- SQL
- AWS
- Git
- Docker
- Kafka
How you'll work
- Remote-based within the United States
- Significant travel to client sites (30-50%)
- Extended on-site periods during key project phases
- Must be authorized to work in the US without sponsorship
What you get
- Medical, dental, and vision insurance plans
- Company-paid life and disability insurance
- Flexible spending plans for medical and dependent care
- Paid parental leave
- Flexible time off policy
- 401(k) plan with 3% employer match