Staff full - stack engineer architecting GitLab’s data products, integrations, and knowledge graph. Building APIs, marketplace data access, and AI - powered developer intelligence.
About the role
- Junior Data Engineer building production pipelines for Citylitics’ AI-powered infrastructure intelligence platform. Collaborating on BigQuery data models and custom data solutions for infrastructure vendors and engineering firms.
Responsibilities
- Design, build, and maintain performant, reliable, and maintainable production data pipelines using Airflow and BigQuery
- Handle pipeline design, development, testing, deployment, monitoring, and ongoing maintenance
- Collaborate with data analysts and stakeholders to define data requirements
- Design efficient data models within BigQuery
- Optimize queries and pipeline/dashboard performance
- Serve as the dedicated data engineering resource for Custom Solutions work
- Partner with Data, Product, and Customer Success teams to take bespoke client requests from proof-of-concept through production
- Translate client requirements into technical solutions
- Communicate technical details and project progress to stakeholders
- Contribute to improvements in data infrastructure and processes
- Suggest and implement new technologies and best practices
- Leverage AI tools to accelerate development, debugging, design, and documentation
- Perform other duties as assigned
Requirements
- Proficiency in Python and SQL
- 2+ years of experience building and maintaining data pipelines using Airflow/Cloud Composer
- Strong understanding of data warehousing principles
- Experience working with BigQuery
- Understanding of ETL/ELT, data modeling, and building idempotent, reliable pipelines
- Experience with Git and cloud platforms, preferably GCP
- Experience building and deploying interactive dashboards or data apps, such as 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
- Comfort and enthusiasm for using AI tools such as Claude in daily workflow
Benefits
- Opportunity to make real-world impact on sustainable public infrastructure
- Work at the intersection of infrastructure, scale-up, and data science
- Fast-paced environment with reduced corporate bureaucracy
- Access to generative AI tools and the company’s full data universe
- In-role coaching
- Skill-based development
- Internal mentorship program
- Clear internal promotion pathways
- Collaborative team environment
- Equal opportunity, safe, diverse, and inclusive workplace
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Degree requirement
No Education Requirement
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