Senior Data Engineer

Summary

Join Virtuous, a company dedicated to helping nonprofits, as a highly skilled Data Engineer. You will be responsible for developing, managing, and optimizing data infrastructure, designing scalable data pipelines, and ensuring seamless data flow. This role involves collaborating with cross-functional teams, utilizing technologies like SQL, Python, Snowflake, and DBT, and contributing to data-driven insights. The ideal candidate is detail-oriented, possesses strong analytical and problem-solving skills, and has experience with ETL processes and data warehousing. The position offers a hybrid work schedule (3 days/week in office) and a competitive benefits package.

Requirements

• Ability 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 data bricks 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

Responsibilities

• Write 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

Preferred Qualifications

• Ability 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)

Benefits

• 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