Analytics Engineer

Mission Asset Fund (MAF) is a pioneering non-profit dedicated to supporting individuals to become visible, active and successful in their financial lives. We blend tech innovation with economic justice, creating groundbreaking programs for hardworking, and immigrant families. Our team is a vibrant mix of nonprofit and tech professionals, united by a passion for positive change.

The Role

As an Analytics Engineer, you will sit at the intersection of tech, research, and programs. You will be responsible for creating and maintaining the data infrastructure that powers program evaluation and strategic decision-making across the organization. If you are passionate about building robust data models, ensuring data quality, and empowering users with actionable insights in service of marginalized communities, we encourage you to apply. This is a full-time, onsite position at our office in San Francisco.

Reports to: Director of Research & Development

Team: R&D

Key Responsibilities:

Data Modeling and Integrity (40%):

• Develop and maintain scalable data models that ensure accuracy and reliability. You'll work closely with analysts, engineers, and product managers to understand their data needs and design solutions that support their goals. This includes implementing data quality checks and validation processes to ensure data integrity, as well as maintaining the code and documentation that power these automations.

Data Engineering and Database Management (35%):

• Design, build, and optimize data pipelines to efficiently transform and load data from various sources. You'll play a key role in designing, managing, and maintaining our databases as we scale to ensure they are efficient and organized.

Dashboard Construction and Maintenance (25%):

• Build and maintain interactive dashboards, reports, and documentation using business intelligence (BI) tools. You will translate complex data into clear, actionable visualizations that enable our teams to make data-driven decisions.

Skills & Qualifications:

• Experience & Education: You have 3+ years of professional experience in data engineering, analytics, or a similar field. A degree in Computer Science, Data Science, Information Systems, or a related technical field is required.
• Coding Proficiency: You must have a mastery of SQL for data manipulation, analysis, and optimization. You have experience with R and Python for data wrangling, scripting, and automation.
• ETL Knowledge: You have expertise in designing, building, and optimizing custom ETL solutions in Python complemented with experience leveraging platforms with out-of-the-box solutions like Workato, Fivetran, Mulesoft, and Census.
• Database Administration: You have experience with data warehousing tools like Snowflake, GCP, or Redshift. You understand database performance tuning, security best practices, and can handle projects like task/procedure setup, archival, backup/recovery, user permissions, and schema optimization.
• Business Intelligence: You’ve worked with modern BI and data science tools such as Tableau, Jupyter, Hex, Mode, or Sisense.
• Version Control: You have hands-on experience with Git and a solid understanding of version control best practices, including CI/CD pipelines.
• Project Management: You’re familiar with leading projects, communicating timelines, expectations, progress, and problems. You’re comfortable collaborating with technical and non-technical team members and explain complex concepts clearly.

Who You Are:

• Mission-Driven: You care deeply about social justice, and supporting communities often left behind.
• Organized & Detail-Oriented: You thrive on keeping things tidy, on-time, and buttoned up—no detail is too small.
• Service-Oriented: You’re approachable, responsive, and find satisfaction in making things easier for others.
• Flexible & Resourceful: You adapt quickly to new situations and enjoy figuring out new technology.
• Strong Communicator: You’re clear, professional, and confident in verbal and written communication.

Equal Opportunity Employment: Mission Asset Fund is an equal opportunity employer; people of color and individuals from diverse backgrounds are encouraged to apply. Mission Asset Fund does not discriminate on the basis of race, color, national origin, ethnic background, religion, sex, sexual orientation, age, or disability.

San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Deadline: Applications are processed on a rolling basis. The position will remain open until filled.