Data Engineer III

Overview

The Data Engineer III is responsible for building and maintaining robust data pipelines and models for the R2

Net organization, overseeing a broad scope of ETL infrastructure and databases. By deploying expertise across many diverse systems, APIs, and platforms, this role plays a key part in enabling accurate and timely access to data across the organization, with an emphasis on simplifying and centralizing a complex ecosystem – and thereby providing trustworthy, analytic-ready resources for the various business units.

This role, by interfacing with key stakeholders in Engineering, Analytics, Operations, Finance, Marketing, and Customer Service, will work to build a data environment that is accurate, complete, timely, and dependable, and will serve as a trusted partner to key associates across the org. In achieving these goals, this role will extend beyond pipeline management – it will involve deep collaboration with business stakeholders, proactive engagement in data strategy, and a focus on driving measurable impact through data.

This engineer is expected to bridge technical execution with business outcomes, owning long-term initiatives that drive top-line and bottom-line growth for R2

Net as a whole.

• Design, implement, and maintain complex data pipelines, ensuring scalability and reliability using Airflow
  , dbt
  , Rivery
  , Python
  , and SQL
  , enabling robust ingestion and transformation of structured and semi-structured data.
• Serve as a strategic partner to business teams, working closely with stakeholders to translate high-level goals into data solutions that support forecasting, performance tracking, and optimization.
• Develop and maintain clean, well-documented data models in Snowflake and Big Query that support analytics, reporting, and operational workflows and contribute to architecture decisions.
• Integrate data from a variety of internal and external sources, including Google Analytics and third-party APIs, to support full-funnel visibility across departments.
• Enable self-service analytics by ensuring data assets are discoverable and usable via tools such as Tableau
  , including thoughtful semantic layer design and performance tuning.
• Contribute to the development of robust monitoring and observability practices for data quality and pipeline health.
• Collaborate on architecture and design decisions, including cloud infrastructure and containerization using AWS. Pulumi and Docker
  .
• Maintain strong documentation and promote engineering standards that ensure transparency, maintainability, and reusability of data systems.

• 7+ years of professional experience in data engineering, analytics engineering, or related roles.
• Advanced proficiency in SQL and Python
  , with expertise in efficient query writing, data structures, and software engineering principles.
• Hands-on experience with Snowflake and/or Big Query
  , including data modeling and performance optimization.
• Proficiency with orchestration tools (e.g., Airflow) and data integration tools like dbt
  .
• Experience working with cloud platforms
  , especially AWS
  , for data storage, compute, and infrastructure management, including services such as AWS Batch, ECR, Lambda functions
  , and related tools.
• Familiarity with data analytics and visualization tools
  , particularly Tableau
  , and ability to support data consumers in building actionable dashboards.
• Experience with marketing and product data sources
  , including Google Analytics and similar platforms.
• Strong knowledge of ETL/ELT design and data warehousing solutions.
• Familiarity with CI/CD pipelines and Dev Ops practices for data engineering.
• Strong skills in Microsoft Suite for documentation and collaboration.
• Robust experience with API design and integration
  .
• Familiarity with SCRUM development methodologies and tools like Jira

• Paid Time Off
• Medical, Dental, Vision and Prescription Insurance
• 401(k) Retirement Plan with Company Match
• Flexible Spending Account | Health Savings Account
• Tuition Reimbursement
• Employee Discount
• Parental Leave
• Life Insurance

At this time, R2

Net will not sponsor a new applicant for employment authorization for this position.