Junior Data Engineer (Custom Solutions)

Requirements • We're looking for a skilled and enthusiastic Junior Data Engineer to join our growing team! We're a close-knit group building and maintaining mission-critical data products, and we need someone who can hit the ground running ,• This role requires a solid understanding of data engineering best practices, and experience with orchestration, data modeling, and data warehouses ,• Beyond the technical skills, we value collaboration, a proactive approach to problem-solving, and a willingness to learn and adapt to evolving technologies. If you're passionate about data, thrive in a collaborative environment, and are excited by the prospect of working on impactful projects, we encourage you to apply ,• Proficiency in Python and SQL ,• Proven experience (2+ years) building and maintaining data pipelines using Airflow/Cloud Composer ,• Strong understanding of data warehousing principles and experience working with BigQuery ,• Understanding of data engineering fundamentals, like ETL/ELT, data modeling, and building idempotent, reliable pipelines ,• Experience with Git and cloud platforms (GCP preferred) ,• Experience building and deploying interactive dashboards or data apps (e.g., Dash on Cloud Run) is a plus ,• Excellent problem-solving skills and a proactive approach to identifying and resolving issues ,• Excellent communication and collaboration skills - you'll be working closely with analysts and other stakeholders ,• Comfort and enthusiasm for using AI tools like Claude in your daily workflow What the job involves • You'll be responsible for designing, building, and maintaining production data pipelines that power customer-facing solutions. You’ll leverage various technologies we already use, including GCP services like Cloud Composer, Cloud SQL, and BigQuery ,• Design, build, and maintain: Develop and deploy highly performant, reliable, and maintainable pipelines using Airflow and BigQuery. This includes everything from initial design and development through testing, deployment, and ongoing monitoring and maintenance ,• Data Modeling & Optimization: Collaborate with data analysts and stakeholders to define data requirements, and design efficient and effective data models within BigQuery. You’ll be optimizing queries and pipeline/dashboard performance for maximum efficiency ,• Custom Solutions: Serve as the dedicated data engineering resource for our Custom Solutions work, partnering closely with Data, Product, and Customer Success teams to take bespoke client requests from validated proof-of-concept through to production. Throughout, you'll translate client requirements into technical solutions and clearly communicate technical details and project progress to stakeholders ,• Continuous Improvement: Contribute to the ongoing improvement of our data infrastructure and processes, including suggesting and implementing new technologies and best practices ,• We're a team that actively uses AI tools to work smarter - from accelerating development and debugging to assisting with design and documentation. We're looking for someone who's comfortable leveraging AI to boost their productivity and is excited to help us find new ways to build faster and better ,• Other duties as assigned

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