Data Engineer I

The Data Engineer I role in Phoenix, AZ (onsite) offers a path to build and maintain data platforms and processing pipelines using cloud and big data technologies. The position carries a salary range of USD 78,000 to 124,750 per year.

Role Summary

This role focuses on constructing and sustaining scalable data platforms and processing pipelines, leveraging cloud services and big data technologies to support ETL processes, data modeling, and SQL based data processing.

Requirements

• At least six months of software development experience.
• Foundational familiarity with cloud platforms such as Google Cloud Platform (GCP), AWS, or Azure, including exposure to Google Cloud Storage and BigQuery.
• Familiarity with big data technologies such as Spark, Scala, Hive, or SQL.
• Fundamental understanding of ETL concepts, data modeling, and data processing techniques.
• Exposure to relational and/or NoSQL databases and SQL programming.
• Familiarity with Agile software development methodologies and the Software Development Life Cycle (SDLC).
• Foundational understanding of CI/CD concepts and tools such as Git, Jenkins, Maven, or similar technologies.
• Working knowledge of version control systems such as Git and build automation tools.
• Basic understanding of web technologies (HTTP, REST APIs) and familiarity with Linux/Unix environments.
• Strong grounding in programming fundamentals, data structures, algorithms, and object oriented programming concepts.
• Strong analytical, problem solving, and debugging skills.
• Excellent verbal and written communication skills, with the ability to work effectively in a collaborative team environment.
• Demonstrated curiosity, learning agility, and a proactive mindset toward continuous learning and process improvement.

Technologies

• Google Cloud Platform (GCP)
• AWS
• Azure
• Google Cloud Storage
• BigQuery
• Spark
• Scala
• Hive
• SQL
• Git
• Jenkins
• Maven
• REST APIs
• HTTP
• Linux/Unix
• NoSQL databases
• Power BI
• DAX
• Power Query

Benefits

• Competitive base salaries
• Bonus incentives
• 6% Company Match on retirement savings plan
• Free financial coaching and financial well-being support
• Comprehensive medical, dental, vision, life insurance, and disability benefits
• Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
• 20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy
• Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
• Free and confidential counseling support through our Healthy Minds program
• Career development and training opportunities

Good to Have

• Fundamental knowledge of Power BI for developing reports, dashboards, and data visualizations.
• Familiarity with creating simple data models, metrics, and KPIs to support reporting and business analytics.
• Working knowledge of DAX, Power Query, and SQL, with the ability to develop interactive reports and perform basic data analysis.
• Understanding of data modeling concepts and exposure to tabular models or semantic models through academic projects, internships, or professional experience.
• Basic troubleshooting and debugging skills for BI reports, datasets, and dashboards.
• Familiarity with BI concepts, metadata management, and data governance principles.
• Exposure to data visualization best practices and the ability to present insights in a clear and meaningful manner.
• Strong analytical skills with an interest in leveraging data to support business decision-making.
• Eagerness to learn modern BI technologies and continuously improve technical and analytical skills.
• Employment eligibility to work in the United States is required, as the company will not sponsor visas for these positions.