Data Engineer
Virtuous
- Phoenix, Arizona, United States
- Phoenix, Arizona, United States
À propos
here . Position Summary We 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. 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. Must Haves 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 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 Haves 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). What We Offer 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. Seniority level
Mid‑Senior level Employment type
Full‑time Job function
Software Development and Non‑profit Organizations
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Compétences linguistiques
- English
Avis aux utilisateurs
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