Senior Data Engineer

Catalight
Remote

About The Position

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.

Requirements

  • 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.
  • 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.
  • 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.
  • Approaches work with a growth mindset, welcome feedback, and understand that humans all have biases and are imperfect as a baseline.
  • Sensitivity to working with an ethnically, linguistically, culturally, and economically diverse population.
  • Navigates ambiguity with an excitement for problem solving.
  • Commitment to meet agreed upon deadlines on time or ahead of schedule.
  • Transparent on action, pursuits, and outcomes.
  • A commitment to the values of the organization while demonstrating good judgment, flexibility, patience and discretion when dealing with confidential and sensitive matters.
  • Willingness and commitment to self-reflection and re-thinking.
  • Ability to understand your physical, mental, social, and financial wellbeing needs with a willingness to co-create boundaries that allow you to sustainably show up and honor your humanity.
  • Capacity to contribute to and help cultivate effective + sustainable wellbeing driven spaces.
  • Commitment to managing a remote schedule that aligns with PST business hours, ensuring your availability supports a healthy team rhythm and effective cross-functional partnership.
  • Ability to obtain and maintain criminal record clearance through the Department of Justice (DOJ).
  • Ability to obtain and maintain clearance through the Office of Inspector General.
  • Must attend any required training.

Nice To Haves

  • 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.

Responsibilities

  • 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.
  • 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.
  • 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.
  • 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.

Benefits

  • The People & Performance Department must analyze DOJ/FBI live scan reports in accordance with applicable Federal, State, and Local laws, as well as fitness for the position.
  • Time Type: Full time
  • Compensation: $130,000 - $170,000 Annually
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