About the Role
Title: Data Engineer
Location: NYC or Remote
Type: Full-Time
Workplace: remote
Category: Data and Intelligence
Job Description:
Olo is a leading SaaS platform accelerating digital transformation in the restaurant industry, by helping customers deliver more personalized and profitable guest experiences. As a result, our digital ordering, payment, and guest engagement solutions enable hospitality at scale, helping brands to do more with less, and making every guest feel like a regular.
We are looking for a collaborative and driven data engineer who thrives at the intersection of problem-solving, data architecture, and innovation. The ideal candidate is skilled in designing and building scalable data pipelines, enjoys working with complex datasets, and has a keen interest in empowering both internal teams and external customers through actionable insights. As a Data Engineer at Olo, you will play a pivotal role in building and maintaining cutting-edge data pipelines that bridge online-to-offline transactions. You’ll work on developing guest-centric metrics dashboards and integrating data from diverse sources to help us unlock new insights into guest behavior, both online and in-store. We want people who are passionate about creating solutions that empower businesses and elevate guest experiences.
Reporting to the Data Engineering Manager, the Data Engineer will collaborate closely with cross-functional teams, including analytics, product, and external customer stakeholders. You will design, implement, and optimize robust data workflows that enable our customers and internal teams to make smarter, faster decisions.. This is more than a data engineering role—it’s an opportunity to shape the future of how businesses and consumers interact. By joining our team, you’ll be contributing to innovative solutions that provide a unified view of guest transactions across online and offline channels. Your work will not only be integral to Olo’s strategic initiatives but could also redefine industry standards in digital commerce. This is your chance to work on projects that are not just exciting but have the potential to make a lasting impact.
You can work remotely from anywhere in the U.S. or at Olo’s headquarters in NYC.
What You’ll Be Doing
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- Design and implement ELT processes and data models using dbt.
- Design and maintain data orchestration workflows using Dagster or Airflow.
- Build data pipelines to support machine learning use cases, enabling predictive and prescriptive customer facing inference.
- Build and optimize processes for sourcing, processing, contextualizing, and modeling data.
- Create and maintain near-real-time streaming data pipelines.
- Deliver automated solutions to address complex data processing challenges.
- Enforce data retention policies to balance liability, cost efficiency, and data lifecycle optimization.
- Develop and maintain a comprehensive data catalog, dictionary, and technical documentation derived from data assets and software solutions.
What We’ll Expect From You
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- 2+ years of experience in the development of one or more of these technologies: Database solutions, data pipelines, advanced analytics applications
- 2+ years of experience with one or more of these datastores: Snowflake, Redshift, Teradata, Azure Synapse (SQL Data Warehouse), BigQuery, Hadoop, Microsoft SQL Server, PostgreSQL, other leading RDBMS
- Advanced proficiency in SQL (any dialect)
- Adequate knowledge of at least one programming language, ideally one widely used in the data industry, such as: Python, Spark, Scala
- Thorough understanding and application of data modeling principles