[Remote] Senior Data Engineer at Olo

Remote

Apply Now

Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

SaaS, Restaurant Technology, Digital CommerceIndustries

Requirements

Apply advanced knowledge of Data Engineering principles, methodologies, and techniques
Gather and process raw, structured, semi-structured, and unstructured data using batch and real-time data processing frameworks
Implement and optimize data solutions in enterprise data warehouses and big data repositories, leveraging distributed processing systems such as Snowflake or Databricks
Design and develop robust data solutions utilizing Kimball data modeling techniques
Develop, test, and maintain data pipelines using Python and dbt (data build tool)
Understand and enforce appropriate data master management techniques
Understand the challenges that the analytics organization faces in their day-to-day work
Provide subject matter expertise and guidance for internal and external customers
Lead the implementation of tools and frameworks for automating the identification of data quality issues
Play a lead role in planning, providing advice and guidance, mentoring less experienced engineers, and monitoring emerging technologies
Recommend improvements to processes, technology, and interfaces

Responsibilities

Design and implement data loading and aggregation frameworks
Design and develop data solutions to support scalable analytics and external data products
Work closely with product managers and stakeholders to deliver high-quality, external-facing data products
Partner with the analytics organization to design viable data solutions
Provide guidance for internal and external customers
Mentor less experienced engineers
Monitor emerging technologies
Reduce technical debt

Skills

Data Engineering

Data Workflows

Data Platform

SQL

Data Analysis

Problem-Solving

Collaboration

Olo

SaaS platform for restaurant digital ordering

About Olo

Olo provides a Software-as-a-Service (SaaS) platform designed for on-demand restaurant commerce, focusing on digital ordering and delivery. The platform allows multi-location restaurant brands to manage their digital channels in one place, integrating various systems for orders, deliveries, and customer interactions. This integration helps restaurants streamline their operations and enhance customer engagement. Olo's business model includes a subscription service for restaurants, along with transaction fees for each order processed, ensuring a steady revenue stream that grows with their clients' success. The company's goal is to support the digital transformation of the restaurant industry, making it easier for restaurants to meet the increasing demand for online food ordering and delivery.

New York City, New YorkHeadquarters

2005Year Founded

$176.4MTotal Funding

IPOCompany Stage

Consumer Software, Enterprise SoftwareIndustries

501-1,000Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

Paid Vacation

Paid Sick Leave

401(k) Company Match

Home Office Stipend

Company Equity

Parental Leave

Risks

Increased competition from Square's integrated solutions may attract Olo's clients.

Olo's reliance on partnerships poses risks if partners face operational difficulties.

Labor shortages could hinder the effectiveness of Olo's self-ordering kiosks with GRUBBRR.

Differentiation

Olo integrates seamlessly with existing restaurant systems for efficient order management.

Olo's platform supports over 60,000 restaurants, showcasing its scalability and reliability.

Olo offers a dual revenue model with subscription fees and transaction-based income.

Upsides

Olo's partnership with GRUBBRR enhances omnichannel dining experiences, boosting customer satisfaction.

The launch of 'Loyalty for Borderless Accounts' strengthens customer engagement and retention.

Olo's relocation to One World Trade Center signifies growth and increased market presence.

Land your dream remote job 3x faster with AI

Try Jobo Free