Data Engineer

2 days ago

Phoenix, Arizona, United States Virtuous Full time
About Virtuous

Virtuous is a mission-driven organization dedicated to empowering nonprofits to build better relationships with their donors. Our modern software platform provides elegant tools for fundraising, marketing, volunteerism, and online giving, helping charities achieve their goals.

We're a team of talented individuals driven to disrupt the status quo in the nonprofit sector. We're passionate about delivering best-in-class software solutions, customer success interactions, and sales experiences to leading nonprofits.

We believe in the importance of giving back and making a difference in our communities. That's why we practice radical generosity by volunteering at nonprofits and going the extra mile for our team and customers.

Job Summary

Virtuous is seeking a highly motivated Analytics Engineer to join our expanding DataOps & Analytics Team. The selected candidate will report directly to the Director of Data Operations and be responsible for designing, developing, and maintaining dashboards, reports, and visualizations that empower stakeholders to make data-informed decisions.

The ideal candidate will have proven experience building dashboards and reports, transforming data into optimal data structures in a data warehouse environment (Snowflake), and analyzing data across disparate sources and team functions. Candidates with experience in AI and ML are preferred.

Responsibilities
  • Design, develop, and maintain dashboards, reports, and visualizations that empower stakeholders to make data-informed decisions and drive business outcomes.
  • Develop and optimize data models to ensure clean, accurate, and reliable data for analytics, data science, and reporting needs.
  • Establish and maintain data documentation, validation processes, and quality checks to guarantee the accuracy and integrity of analytics outputs.
  • Collaborate with Sales, Marketing, Customer Experience, and other cross-functional teams to understand data needs, analyze trends, and provide insights to solve business challenges.
  • Monitor and optimize data pipelines and infrastructure to ensure efficient and scalable data processing.
  • Contribute to data governance initiatives by maintaining data definitions and ensuring the integrity, reliability, and privacy of company data.
  • Support the DataOps team in implementing security and privacy controls to ensure compliance with industry regulations and standards.
  • Proactively identify and implement improvements to data tooling, processes, and workflows to enhance communication, performance, and scalability.
  • Collaborate with Data Engineering to ensure data infrastructure aligns with evolving business needs and technology stacks.
  • Stay current with industry trends and best practices in data engineering and analytics to continuously improve processes and tools.
Requirements
  • 3+ years experience as an Analytics Engineer, Business Analyst, Data Analyst, or related role.
  • Proficiency in SQL and Python.
  • A drive to ask questions, challenge assumptions, and dig deeper into complex problems.
  • A passion for growth and continuous learning, driven by a desire to stay current on the latest technologies and best practices as an Analytics Engineer, and a commitment to ongoing professional development.
  • Independent, self-starter who thrives in a fast-paced, collaborative work environment.
  • Proactive in seeking out opportunities to innovate and enhance processes through research and experimentation.
  • Strong discipline in validating data and ensuring data integrity throughout workflows, with a focus on quality, documentation, and precision.
  • In-depth experience and expertise in data visualization tools such as Tableau, PowerBI, Sigma, Mode, Looker, or similar BI tooling.
  • Direct, proven experience with relational databases including MySQL and Azure SQL Server, and data warehouse models in Snowflake.
  • Experience with data integration, transformation, and version control platforms including Fivetran, dbt, GitHub, and similar technologies.
  • Knowledge of data governance and security best practices.
  • Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders.
What We Offer
  • Market competitive pay leveraging Carta data.
  • Employee recognition through Bonusly (birthdays, anniversaries, achievements, etc.).
  • 401(k) retirement plan with company matching - 50% match up to 6% of compensation after 90 days.
  • We value our employee's work-life balance and encourage taking advantage of Unlimited PTO.
  • Supportive time off including paid volunteer days and company holidays.
  • Employer-contributed healthcare benefits, encompassing medical, dental, and vision coverage, with plans available for dependents and choices for Health Savings Accounts (HSA) and Flexible Spending Accounts (FSA).
  • 12 weeks primary parent leave, 4 weeks secondary parent leave - full pay (adoption as well).
  • We pride ourselves on Community and host exciting company outings and events.

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