Sr. Data Engineer

Location: Richmond, VA
Department: Engineering
Reports to: Data Team Manager

About Fulcrum Collaborations

Fulcrum Collaborations is a Salesforce ISV Partner that develops MCIM (www.mcim24x7.com), a cutting-edge mission-critical information management platform for data centers. Our platform integrates with various enterprise systems, including CMMS, ERP, service desk, and building automation systems, to provide data-driven insights and operational intelligence.

We are looking for a Data Engineer with DevOps expertise to help build and deliver data products that power analytics, reporting, and AI-driven decision-making. You will be responsible for designing scalable data pipelines, automating deployments, deploying REST API endpoints, and optimizing our data infrastructure.

Key Responsibilities

Data Engineering & Data Products Development

• Design, build, and optimize scalable ETL/ELT pipelines to support data analytics 
• Design, develop, and maintain RESTful API using Flask, Django or similar Python frameworks.
• Implement authentication, authorization, and security best practices for API access.
• Develop and manage data lakes, data warehouses, and real-time data processing using tools like Snowflake and AWS services.
• Ensure data integrity, security, and governance across Fulcrum's data platform.
• Work with structured and unstructured data from sources such as CMMS or ERP data
• Collaborate with data analysts, product managers, and software engineers to develop data products that provide actionable insights to customers.
• Create and maintain clear technical documentation for data pipelines, including data lineage, transformation logic, and dependencies.
• Develop API documentation using industry-standard tools (e.g., Swagger/OpenAPI), including endpoint specs, request/response examples, and error handling.
• Document data models, schemas, and data dictionaries to enable self-service discovery.

DevOps & Automation for Data Infrastructure

• Build and maintain CI/CD pipelines for data pipelines, infrastructure deployments, and analytics models using GitHub Actions, docker, Heroku, AWS ECR/ECS or GitLab CI.
• Deploy and manage containerized data processing tools
• Implement observability, logging, and monitoring for data workflows
• Optimize cloud infrastructure (AWS) to balance performance and cost efficiency.

Security, Compliance, & Best Practices

• Implement best practices for data security, encryption, and access control.
• Ensure compliance with GDPR, SOC2, HIPAA, and other regulatory requirements.
• Define and document data pipeline standards, testing frameworks, and automation best practices.

Qualifications

Must-Have:

• 5+ years of experience in Data Engineering with DevOps expertise.
• Strong proficiency in Python, SQL, and data pipeline orchestration tools
• Hands-on experience with CI/CD pipelines, containerization 
• Hands-on experience with REST API development using FastAPI, Flask, Django or Golang
• Expertise in cloud platforms (AWS, Azure, or GCP) for data storage and processing.
• Experience with Infrastructure-as-Code
• Familiarity with data pipeline monitoring and observability tools.

Nice-to-Have:

• Experience integrating data from CMMS, ERP, and IoT systems.
• Understanding of ML Ops and AI model deployment.
• Knowledge of data privacy and compliance standards.

Why Join Fulcrum Collaborations?

• Work on high-impact data products that transform data center operations.
• Leverage the Salesforce ecosystem to build next-gen data solutions.
• Competitive salary, benefits, and flexible remote work options.