Senior Software Engineer, Data Platform

Who We Are   Temporal is an open source programming model that can simplify code, make applications more reliable, and help developers focus on the important things like delivering features faster. Our amazing user community provides us with real-time feedback and contributions to improve the developer experience everywhere.   Backed by top VC firms, we have built a team of professionals from various successful start-ups and well-known technology companies. Together, we collaborate cross-functionally, engage with and support our users to improve the developer experience, deliver world-class open-source software, and enhance our commercial SaaS platform.   Temporal is growing and working towards building the best community. We are looking for those who share our values, challenge 'standard' thinking, and want to influence our future. If you have a passion for helping developer communities, open-source software, and want to be a part of our amazing team, we'd love to hear from you!

Summary

The Senior Data Engineer position at Temporal Technologies will play a key role in transforming and analyzing data within the data platform. This position requires an experienced data engineering professional with deep expertise across the entire data stack, and the ability to collaborate effectively with stakeholders. The work we do is centered around providing value to the business. We stay laser focused on prioritizing work that contributes to tangible, positive business outcomes. 

The ideal candidate will rigorously apply software and data engineering best practices to the ingestion, storage, modeling, and analysis of data. This candidate will also have a deep interest in the data and spend time recommending and performing analyses. The data engineer will also shape Temporal’s data strategy, guiding stakeholders in how they consume and act on data. This is an opportunity to design and build out a world class data platform from the ground up by implementing best in breed technologies and collaborating with extremely talented teammates. 

About the team [New window. Link to "About the team" page visible when you click 'apply' from LinkedIn]

What You’ll Do

• Build out data pipelines to support ingestion of both event driven and batch driven workloads from internal tooling as well as 3rd party software and APIs
• Harden existing pipelines with data quality checks
• Model data for OLAP purposes
• Model and implement business concepts such as account stages and lifecycles, revenue categories, etc.
• Create actionable dashboards and reports that drive behavior in our business
• Perform and present analyses (exploratory, causal, predictive, diagnostic)
• Take end to end project ownership by facilitating working sessions with engineers and business stakeholders to design and produce data solutions that appropriately meet business needs 
• Contribute to data platform roadmap by evaluating opportunities and recommending projects tied to delivering business needs
• Train and enable stakeholders on new data products as they are released to ensure optimal utilization and outcomes

What You'll Bring

• Experience across the data stack (ingest, storage, compute, data modeling, visualization, analysis) with an emphasis on understanding business requirements
• Strong interest in the data and what it represents to the business
• Experience collaborating with Product Managers and RevOps teams to design and implement data-driven solutions
• Experience building on data lake architectures
• Expertise within at least one of the major cloud providers (AWS, GCP, Azure)
• Experience working with a wide range of data sources (APIs, logs, event stores, etc.)
• Proficiency in Python and SQL
• Experience with multiple data processing and query engines (Spark, Presto/Trino, Athena, BigQuery, etc.)
• Significant experience with both object stores and relational databases such as S3 and Redshift
• Ability to quickly gain proficiency in new tools and technologies
• Strong desire to continue to learn and experiment 
• Strong communicator and collaborator with the ability to connect technical projects to business impact

Compensation

• The estimated pay range for this role is $146,000 - $220,000.
• Additionally, this role is eligible to participate in Temporal's equity plan.

Compensation ranges reflect salary and commission compensation (when applicable) across several geographic markets. Employment offers carefully consider multiple factors, including prior experience, knowledge, expertise, skillset, market loca