Data Engineer

Get AI-powered advice on this job and more exclusive features.Virtuous is on a mission to inspire global generosity by helping nonprofits build better relationships with their donors. We offer a modern software platform that provides mid-sized charities with elegant tools for fundraising, marketing, volunteerism, and online giving.Our talented team is driven to disrupt the status quo in the nonprofit sector. We are hungry, humble, and committed to delivering best‐in‐class software solutions, customer success interactions, and sales experiences to the world's leading nonprofits.We also recognize the importance of giving back and making a difference in the communities where we live and work. That's why we practice radical generosity by volunteering at nonprofits or going the extra mile for our team and the customers we serve. We take our work seriously, but we don't take ourselves too seriously. We believe that life is too short not to love what you do.The ideal candidate for Virtuous embodies our values by:Asking questions with a spirit of curiosityGiving feedback freely with candor & grace, welcoming it in returnDisplaying a passion for philanthropy and technologyServing with joy. Everyone is willing to make the coffee!Celebrating the wins & milestones of othersAssuming good intent & demonstrating trust in othersPursuing relationships with people different from themselves & creates space to be humanFind our core values & more here.Position SummaryWe are seeking a highly skilled and detail‐oriented Data Engineer to join our product engineering team. In this role, you will be responsible for developing, managing, and optimizing data infrastructure that drives strategic decision‐making. You will design and implement scalable data pipelines that enable efficient data collection, transformation, and storage across cloud environments. Utilizing technologies such as SQL and Python to ensure seamless data flow and accessibility for analytics, reporting, and machine‐learning applications. Your expertise in ETL processes, data warehousing, and tools like Snowflake and DBT – and a familiarity with .NET – will be critical for maintaining data integrity and availability.You will collaborate closely with a cross‐functional team, including product management, engineering, and data operations, to ensure data accuracy and efficiency. This position offers a unique opportunity to contribute to meaningful projects and support our mission through data‐driven insights. The ideal candidate is someone who thrives in a fast‐paced environment, is passionate about data, and possesses a strong technical background.ResponsibilitiesWrite and optimize SQL queries to extract and manipulate data.Develop and maintain comprehensive reports and dashboards using Sigma Reporting.Create detailed user stories and collaborate with engineering teams to ensure accurate implementation.Manage and optimize data models in Snowflake to support cost management.Collaborate with cross‐functional teams to identify data requirements and deliver insights.Ensure data quality and integrity through rigorous testing and validation processes.Conduct exploratory data analysis to uncover trends and insights.Provide training and support to team members on data tools and best practices.Participate in the development and refinement of the overall data strategy.Must HavesAbility to create ETL tools and optimize big data sets.Expert‐level experience with SQL Server and data modeling in Snowflake.Proficiency in using DBT, FiveTran, or Databricks for data transformation and modeling.Hands‐on experience with Sigma Reporting or similar BI tools.Strong analytical and problem‐solving skills.Excellent communication and collaboration abilities.Detail‐oriented and able to manage multiple tasks and projects simultaneously.Experience working with nonprofits or a strong desire to support nonprofit initiatives.A curious and analytically‐minded approach to data analysis.Knowledge of Python and/or the ability to easily pull data from APIs.Nice to HavesAbility to think strategically and develop tools to enable self‐service.Experience with AI or predictive models.Knowledge of advanced statistical methods and data science techniques.Experience with cloud platforms such as AWS, Azure, or GCP.Prior experience in a senior data role or leading data projects.Strong understanding of data governance and best practices.Ability to mentor and guide junior team members.Advanced degree in a related field (e.g., Data Science, Computer Science, Statistics).What We OfferEmployee recognition through Bonusly (birthdays, anniversaries, achievements, etc.)401(k) retirement plan with company matching – 50% match up to 6% of compensation after 90 daysWe value our employee's work‐life balance and encourage taking advantage of Unlimited PTOSupportive time off including paid volunteer days and company holidaysEmployer‐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.Seniority levelMid‐Senior levelEmployment typeFull‐timeJob functionSoftware Development and Non‐profit Organizations #J-18808-Ljbffr