Data Engineer, Pricing

United States Digital Space LLC; Toronto; On-site; CAD 108,000 - 135,000; Full time

Benefits offered by this job

Extended health and dental coverage

Mental health benefits

Flexible paid time off policy

Job summary

United States Digital Space LLC is seeking a Data Engineer to join their Pricing team in Toronto. The successful candidate will architect and maintain scalable data pipelines that inform pricing strategies. A Bachelor's degree in a relevant field and proficiency in SQL and Spark are essential.

This role operates on a hybrid schedule, requiring office presence at least 3 days per week. The expected salary range for this position is CAD $108,000 - CAD $135,000, excluding bonuses and benefits.

Qualifications

• 2+ years of relevant professional experience.
• Proficient in at least one SQL language (MySQL, PostgreSQL, etc.).
• Comfortable working directly with data and business partners.

Responsibilities

• Owner of the pricing data pipeline.
• Implement systems tracking data quality and consistency.
• Participate in code reviews to ensure code quality.

Skills

Strong experience with Spark

Strong skills in a scripting language (Python, Ruby, Bash)

Good understanding of SQL Engine

Experience with Hadoop Ecosystem

Education

Bachelor's degree in Computer Science, Engineering, Mathematics, or related field

Tools

Apache Airflow

AWS

Kubernetes

Job description

At the company, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.

Pricing is at the core of the company’s business, driving revenue, balancing supply and demand, and shaping user experience through real-time and strategic decisions. The Pricing team builds and maintains the systems that determine what a ride should cost—incorporating demand forecasts, marketplace signals, promotions, cost models, and more.

As a Data Engineer on the Pricing team, you will help build the data foundation that powers the company’s pricing strategies. You will architect, build, and maintain scalable data pipelines to support real-time pricing, experimentation, analytics, and modeling. Your work will enable integration with partner teams and allow stakeholders across Engineering, Data Science, and Product to make data-informed decisions that directly impact the company’s growth and profitability.

Our technology stack is based on the latest technologies such as AWS, Kubernetes and Apache Airflow. You will work with incredibly passionate and talented colleagues from software engineering, machine learning and data science on projects that directly impact millions of riders and drivers.

Responsibilities:

• Owner of the pricing data pipeline, responsible for scaling up data processing flow to meet the rapid data growth at the company
• Evolve data model and data schema based on business and engineering needs
• Implement systems tracking data quality and consistency
• Develop tools supporting self-service data pipeline management (ETL)
• SQL and MapReduce job tuning to improve data processing performance
• Write well-crafted, well-tested, readable, maintainable code
• Participate in code reviews to ensure code quality and distribute knowledge
• Unblock, support and communicate with internal & external partners to achieve results

Experience:

• Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field.
• 2+ years of relevant professional experience
• Strong experience with Spark
• Experience with Hadoop (or similar) Ecosystem, S3, DynamoDB, MapReduce, Yarn, HDFS, Hive, Spark, Presto, Pig, HBase, Parquet
• Strong skills in a scripting language (Python, Ruby, Bash)
• Good understanding of SQL Engine and able to conduct advanced performance tuning
• Proficient in at least one of the SQL languages (MySQL, PostgreSQL, SqlServer, Oracle)
• Experience with workflow management tools (Airflow, Oozie, Azkaban, UC4)
• Comfortable working directly with data and business partners to bridge the company’s business goals with data engineering

Benefits:

• Extended health and dental coverage options, along with life insurance and disability benefits
• Mental health benefits
• Family building benefits
• Child care and pet benefits
• Access to a the company funded Health Care Savings Account
• RRSP plan with company match to help save for your future
• In addition to provincial observed holidays, salaried team members are covered under the company's flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service
• the company is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible.
• Subsidized commuter benefits and the company ride credits

the company is committed to creating an inclusive workforce that fosters belonging. the company believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. the company also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter if you wish to make such a request.

the company highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office at least 3 days per week, including on Mondays, Wednesdays, and Thursdays. the company considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks the company offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid

The expected base pay range for this position in the Toronto area is CAD $108,000 - CAD $135,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

the company may use artificial intelligence to screen applicants, however, the company employees make the ultimate selection and hiring decisions.

This job fills an existing vacancy.