Reporting to the Engineering Manager of Data Infrastructure, you will help establish our enterprise data platform and the processes that build it. You will work with the Data Architect and other team members to build, test, and operationalize many infrastructure and software components in this space.

This is a full-time position. We support remote work from anywhere in the U.S.

What You'll Do

• Build resilient systems at scale with high velocity and high-volume data flows.
• Build processes for sourcing, processing, contextualizing, and modeling our data.
• Build near-real-time streaming pipelines.
• Build highly automated software solutions to data processing problems.
• Implement event-driven data ingestion methodologies with Kafka on Amazon MSK and Spark Structured Streaming on Amazon EMR.
• Build ELT processes using Data Build Tool (dbt).
• Grow our data warehouse’s data wealth and customer adoption.
• Implement the security team’s data security and privacy policies.
• Enforce our data retention policies, minimizing liability and cost while maximizing the data lifecycle.
• Build and maintain a data catalog, data dictionary, and technical documentation sourced from our data assets and software solutions.

What We'll Expect From You

• 1+ years of experience in the development of one or more of these technologies
• database solutions
• data pipelines
• business intelligence
• advanced analytics applications.


• 1+ 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


• Intermediate knowledge of any SQL dialect.
• Conceptual understanding of data modeling.
• A willingness to comply with zero-trust patterns and related security design principles.

Nice to Haves

• Experience with Python, Spark, or Scala.
• Experience working with large datasets (one or more terabytes) and volumes (millions or billions of transactions per day).
• Experience with non-graphic data movement and pipeline tools (ie. Airflow, dbt, Kafka, Amazon Kinesis, Amazon EMR).

Olo powers digital ordering and delivery programs that connect restaurant brands to the on-demand world, placing orders directly into the restaurant through all order origination points – from a brand's own website or app, third-party marketplaces, social media platforms, smart speakers, and home assistants. Olo serves as the on-demand ordering and delivery platform for over 400 brands, such as Applebee's, Checkers & Rally's, Cheesecake Factory, Shake Shack, and more. Learn more at www.olo.com.

Olo's headquarters is located on the 82nd floor of One World Trade Center. In addition to our NYC cohort, over 65% of our team works remotely across the U.S. We offer great benefits, such as 20 days of Paid Time Off, fully paid health, dental, and vision care premiums, company equity, a generous parental leave plan, and perks like team events. Check out our culture map: https://www.olo.com/images/culture.jpg.

We value diversity. At Olo, we know a diverse and inclusive team not only makes our products better but our workplace better. Many groups are underrepresented across the tech sector and we are committed to doing our part to move the needle.

Olo is an equal opportunity employer and diversity is valued at our company. All applicants receive consideration for employment. We do not discriminate on the basis of race, religion, color, national origin, gender identity, sexual orientation, pregnancy, age, marital status, veteran status, or disability status.

If you like what you read, hear, and/or know about Olo, and want to be a part of our team, please do not hesitate to apply! We are excited to hear from you!