Product Engineer, Coder

• Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field, or equivalent practical experience
• 3+ years of experience in data operations, data engineering, business intelligence, or similar role, with a focus on internal data management, integration, and visualization
• Strong understanding of data pipelines, ETL processes, and data warehousing concepts
• Proven ability to design, build, and maintain data integrations using various methods and tools
• Strong scripting skills (e.g., SQL, Python) for data manipulation, analysis, and report generation
• Proficiency in SQL and experience with data manipulation and analysis
• Proven experience in designing and building effective data visualizations using relevant tools (e.g., Tableau, Looker, Power BI, Grafana)
• Experience with data processing and storage technologies (e.g., cloud-based data warehouses, data lakes)
• Excellent organizational, problem-solving, and analytical skills, with a strong aptitude for visual storytelling with data for diverse audiences
• Excellent interpersonal and relationship-building skills, with the ability to effectively communicate with and influence stakeholders across different teams
• Strong communication and collaboration skills, with the ability to effectively interact with technical and non-technical stakeholders across the organization to understand data needs and present findings visually and verbally
• Ability to work independently and manage multiple priorities in a fast-paced environment
• A proactive and detail-oriented mindset with a strong focus on data quality and impactful visualizations

Desirable

• Coder is seeking a detail-oriented and proactive Product Engineer to focus on owning data and reporting infrastructure for our Product & Engineering organizations
• As a Product Engineer at Coder, you will be responsible for building connections between disparate information hubs involved in the Product roadmap, measuring product adoption via our in-product telemetry, and building workflows centered around engineering progress and support tickets to ensure the highest-impact issues are being prioritized
• You are expected to code both durable automations and build ad-hoc reports, with heavy assistance from (but not reliance on) AI code assistants
• You will collaborate heavily with Software Engineers, Product Management, and Customer Solutions teams
• While Product Engineering will always remain a durable long-term position at Coder, there are also opportunities to transition into Product Management, Solutions Engineering, or Software Engineering based on your interest and performance
• Design, build, and maintain data integrations between various internal systems to ensure a unified and accessible data landscape
• Engineer and/or script custom reports across disparate systems based on requirements gathered and plans developed with your management and Product & Engineering leaders
• Partner with Product & Engineering leadership and cross-functional stakeholders to understand data requirements, develop efficient operational processes and visualizations, and deliver impactful dashboards and reports for both recurring and immediate needs
• Develop and manage internal data infrastructure and tools to ensure easy access and usability of relevant data for Product & Engineering teams and other stakeholders
• Receive and execute ad hoc telemetry and reporting requests from internal stakeholders, prioritizing based on urgency and impact
• Create and maintain comprehensive documentation for data integrations, internal data processes, data dictionaries, and best practices, including visualization standards. Promote standardization across teams
• Create an automation to send Slack alerts when new Coder deployments become active in telemetry
• Analyze telemetry data to help the CEO make business decisions

• We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to get through the interview process in two to four weeks if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and leadership