[Remote] Senior Data Engineer at Olo

Remote

Olo Logo
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

Key technologies and capabilities for this role

Data EngineeringData WorkflowsData PlatformSQLData AnalysisProblem-SolvingCollaboration

Questions & Answers

Common questions about this position

Is this position remote, and where can I work from?

This is a fully remote position that allows you to work from anywhere within the United Kingdom.

What benefits are offered for this role?

You will be eligible for private healthcare coverage in addition to being able to participate in all statutorily required benefits and pension programs.

What are the key skills required for this Senior Data Engineer role?

The role requires advanced knowledge of Data Engineering principles, experience with batch and real-time data processing frameworks, implementing solutions in enterprise data warehouses like Snowflake or Databricks, and Kimball data modeling techniques.

What is the employment arrangement and who will I report to?

This is a full-time position contracted through Deel as the Employer of Record, and you will report to the Data Engineering Manager while collaborating with cross-functional teams.

What makes a strong candidate for this Senior Data Engineer position?

A strong candidate will have advanced expertise in data engineering, experience designing data workflows and frameworks across the enterprise, and the ability to optimize solutions using tools like Snowflake, Databricks, and Kimball modeling.

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.

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