Senior Data Engineer
18 hours ago
In this role, you won't just build pipelines. You'll shape our analytics and tooling strategy, influence decisions across the company, and get a front-row seat to how a high-growth SaaS business operates from the inside out. If you're passionate about data, curious about product, and excited to drive change, we'd love to have you on board
Our tech stack You'll work with a modern data stack and development practices, including:
Tech stack: Our core tools include dbt, Snowflake, Looker, Amplitude, Keboola, Segment, and AWS.Languages: We primarily use SQL and Python to build data pipelines and transformations.DataOps methodology:All code is version-controlled in GitHubWe follow a strong code review cultureCI pipelines and automated checks via GitHub ActionsAgile workflows managed in Jira
About youBachelors or above in quantitative field: Computer Science, Engineering, Statistics, Applied Mathematics, Economics, or related field5+ years of experience in developing, and maintaining robust data models from structured and unstructured sources5+ years of experience writing accurate and effective code in SQL (Python is a plus)Experience with modern data storage and processing technologies (i.e, Snowflake, Looker, Airflow, and dbt or similar)Experience proactively identifying opportunities to improve ETL & dashboard performance and costExperience leveraging your excellent communication skills to thrive in ambiguous environments where problems are not well-defined and evolve quicklyExperience collaborating directly with data science and product engineering teamsA desire to work with amazing, passionate people who care deeply about solving challenging problems to improve DiscordLast but not least - a collaborative attitude and a healthy dose of natural curiosity
Responsibilities As a Senior Data Engineer at Productboard, you'll play a key role in shaping the foundation of our data ecosystem. Your work will directly empower teams across the company to make smarter, faster decisions.
Collaborate with Product, Engineering, GTM, and Data Analysts to build and scale a world-class data infrastructureDesign, develop, and own core data models and pipelines that power analytics and drive product insightsWork cross-functionally with Product Management, Engineering, Finance, and IT to unlock opportunities and improve internal systemsPartner with Compliance, IT, and Engineering teams to ensure we meet data governance and privacy standardsSolve complex, often unstructured data challenges with creative and scalable solutionsProvide accurate, timely data to support executive decision-making and board reporting
You can look forward to the following benefits: Stock options MacBook + 34″ Monitor Budget for online courses, books, and conferences 5 weeks of vacation + 9 sick days 1 Volunteer Day per year for you to help causes close to your heart Free snacks, drinks, and yummy catered lunches Shared Headspace account for mindfulness & mental health MultiSport card to access sports facilities Team events, such as happy hours, off-sites, and retreats Mental Wellness Program to support your well-being and self-care Flexible working hours and home office Parental benefits
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