Senior Software Engineer - Data Platform

March 15

Apply Now

Receive Emails with Similar Jobs

Temporal Technologies

WebsiteLinkedInAll Job Openings

Temporal Technologies is a company that provides a platform for durable execution, helping developers build resilient applications by managing failures, network outages, and long-running processes. Their technology abstracts away the complexity of building scalable distributed systems, allowing developers to focus on delivering reliable systems faster. Temporal simplifies code by eliminating recovery logic, callbacks, and timers, making software more durable and fault tolerant. The platform supports a wide variety of applications, from transaction processing to applied AI, and is favored by developers for its ease of use and reliability. Temporal is open-source and offers both self-hosted and managed cloud services in multiple regions, enabling scalable, serverless application development.

51 - 200 employees

Founded 2018

☁️ SaaS

💰 $75M Series B on 2023-02

📋 Description

• 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 • 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 • Monitor performance of operations to ensure optimal performance of data ingest, processing, and querying • 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

🎯 Requirements

• Experience across the data stack (ingest, storage, compute, data modeling, visualization, analysis) • Strong interest in the data and what it represents to the business • Experience owning key components of SLA bearing production data platform relying on distributed storage and compute components • 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.) • Strong 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

🏖️ Benefits

• Unlimited PTO, 12 Holidays + 2 Floating Holidays • 100% Premiums Coverage for Medical, Dental, and Vision • AD&D, LT & ST Disability, and Life Insurance (Standard & Supplemental Available) • Empower 401K Plan • Additional Perks for Learning & Development, Lifestyle Spending, In-Home Office Setup, Professional Memberships, WFH Meals, Internet Stipend and more!