Data Engineer

Ursus; Remote; USD 150,000 - 200,000; Full time

Job summary

A leading tech company is offering a position for a Data Engineer - Rider, focusing on building core business data pipelines and optimizing data models. Candidates should possess 5+ years of experience in data engineering and strong skills in SQL, along with proficiency in Python. This role supports decision-making across demand, finance, and competitive data within a dynamic environment. Benefits include healthcare and 401K options.

Benefits

Medical benefits

Dental benefits

Vision benefits

Commuter benefits

401K with company matching

Qualifications

• 5+ years of professional experience in data engineering or a related field.
• Strong expertise in SQL and experience with Spark and/or Trino.
• Proficiency in Python.

Responsibilities

• Build core business data pipelines.
• Design data models and schemas.
• Define and implement data quality checks.
• Perform SQL tuning for optimization.
• Write maintainable code prioritizing scalability.
• Conduct code reviews.
• Produce high-quality documentation.
• Collaborate with internal and external partners.

Skills

Data engineering experience

SQL expertise

Proficiency in Python

Experience with Spark and/or Trino

Strong data modelling skills

Hands-on experience with Airflow

Job description

JOB TITLE: Data Engineer - Rider

LOCATION: Remote

DURATION: 6 months

RATE RANGE: $90-$100/hr.

TOP 3 SKILLS:

• 5+ years of professional experience in data engineering or a related field
• Strong expertise in SQL and experience with Spark and/or Trino
• Proficiency in Python

Company:

Our client is a tech-driven mobility company with a strong culture of innovation, inclusion, and community impact.

About the Role:

• Our client is a leading company where data drives every decision. It forms the backbone of their business—helping deliver exceptional transportation experiences and providing insights into the performance of services and products.
• In this role, you will support the core Rider team by developing ETL pipelines that enable decision-making for demand, finance, and competitive data. Your contributions will empower data scientists, analysts, and business leaders to make informed decisions that drive success.
• You will evaluate multiple approaches and implement solutions based on best practices, solid principles, and supporting data. By architecting, building, and launching robust data pipelines, you will ensure seamless access to insights that fuel critical functions such as Analytics, Data Science, and Engineering.

Responsibilities:

• Build core business data pipelines
• Design data models and schemas to meet business and engineering requirements
• Define and implement data quality checks to ensure ongoing data consistency
• Perform SQL tuning to optimize data processing performance
• Write clean, well-tested, and maintainable code, prioritizing scalability and cost efficiency
• Conduct code reviews to uphold code quality standards
• Produce high-quality documentation to facilitate ownership transfer and ongoing support
• Collaborate with internal and external partners to remove blockers, provide support, and achieve results

Experience:

• 5+ years of professional experience in data engineering or a related field
• Strong expertise in SQL and experience with Spark and/or Trino
• Proficiency in Python
• Strong data modelling skills and a deep understanding of ETL processes
• Experience building and optimizing complex data models and pipelines
• Hands‑on experience with Airflow
• Nice to have experience - working directly with cross‑functional teams (data analytics, data science, engineering) to align data engineering solutions with business goals

BENEFITS SUMMARY:

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate or annual salary only, unless otherwise stated. In addition to base compensation, full-time roles are eligible for Medical, Dental, Vision, Commuter and 401K benefits with company matching.