Senior Data Engineer

The Senior Data Engineer is an integral member of Catalight's Data & Analytics team, responsible for designing, building, and maintaining scalable data pipelines and infrastructure that power business intelligence and AI/ML capabilities across the organization. Reporting to the Director of Data & Analytics, this fully remote, individual contributor role collaborates closely with cross-functional stakeholders to deliver reliable, high-quality data products that inform decision-making and drive organizational impact. This is an exciting opportunity for a seasoned data professional to contribute meaningfully to Catalight's mission of improving access to care for people with autism and intellectual/developmental disabilities.

Data Pipeline Management

• Design, develop, and maintain robust, scalable, and efficient data pipelines to support business intelligence and AI/ML workloads.
• Build and manage ETL/ELT processes to integrate data from diverse sources into centralized data platforms.
• Ensure pipeline reliability, performance, and scalability through monitoring, troubleshooting, and continuous optimization.
• Manage and maintain data infrastructure on AWS and Azure cloud platforms.
• Develop and enforce data quality standards, validation processes, and governance best practices.
• Collaborate with the Data & Analytics team to support Snowflake data warehouse architecture and administration.

Business Intelligence & Stakeholder Reporting

• Partner with internal stakeholders across departments to understand reporting and analytics needs and translate them into scalable data solutions.
• Enable and support BI tools (e.g, Tableau) by providing curated data models and optimized access layers.
• Ensure data accuracy, consistency, and accessibility across all reporting products.
• Document data models, pipeline workflows, and reporting assets to support organizational transparency and knowledge sharing.

AI/ML Data Support

• Develop and maintain data pipelines and data sources that support AI/ML applications and model development.
• Collaborate with data science and analytics stakeholders to ensure high-quality, well-structured data is available for model training and evaluation.
• Stay current on emerging AI/ML data engineering tools and best practices, proactively recommending improvements to existing workflows.

Mentorship & Collaboration

• Provide technical guidance and mentorship to junior data engineers and analysts, fostering a culture of learning and continuous improvement.
• Contribute to team-wide documentation, code reviews, and engineering standards.
• Collaborate effectively in a fully remote environment, maintaining clear and proactive communication across teams.

Qualifications

• Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field preferred; or 6+ years of experience in data engineering or a related discipline in lieu of a degree.
• Proficiency in SQL with strong experience in data modeling and query optimization.
• Hands-on experience with Snowflake data platform.
• Experience enabling BI tools through the design and delivery of secure, reliable data pipelines, curated data models, and performant data access layers.
• Strong experience building and managing data pipelines and ETL/ELT workflows.
• Proficiency with AWS/Azure cloud services.
• Experience with Salesforce platform integrations or workflows.
• Demonstrated ability to work collaboratively with both technical and non-technical stakeholders.

Requests:

• Must be able to communicate effectively within the work environment, read and write using the primary language within the workplace.
• Visual and auditory ability to work with clients, staff and others in the workplace continuously.
• Frequent speaking and listening (25-75%) to clients, staff, and others in the workplace.

Knowledge, Skills & Abilities (organized by our company values): 

• Seeks to understand the underlying needs, desires, and values of colleagues. 
• Appreciates and demonstrates collaboration across teams. 
• Serves as a role model, bringing our core values to life in your work. 
• Work in an exciting, fast paced high energy environment while effectively multitasking and managing day-to-day responsibilities without supervision.
• Personable; able to work comfortably with individuals at all levels within the organization.
• Excellent verbal and writing communication skills; frequent proofreading and checking documents for accuracy.

Equity informed:

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