Senior Data Engineer | The Points Guy
About The Position
Our The Points Guy team is looking for a Senior Data Engineer. In this role, you’ll build data products and create the foundation that powers our machine learning and business analytics efforts. You’ll work hand-in-hand with a variety of stakeholders from functional groups across the organization to create end-to-end solutions. Red Ventures is a high-autonomy, high-ownership environment; you’ll own your work from idea to production solution. Our data engineering tech stack is primarily AWS and Spark/SparkSQL/Python via Databricks, though we welcome strong applicants from a wide variety of technical backgrounds. We believe that diverse, inclusive teams are better teams. Think of the bullets below as guidelines: if you only partially meet the qualifications on this posting, we encourage you to apply anyway!
Requirements
- Cloud & big data platforms - 5+ years designing and developing on AWS and Databricks data lake and lakehouse architectures
- Programming - Expert in SQL, Python/Scala
- Streaming - Hands on with Kafka and Spark Structured Streaming in production
- Data modeling & warehousing - Dimensional, data vault, and real time schemas; SQL performance tuning on data warehouses, including Snowflake and Databricks SQL
- Orchestration & DevOps - dbt, GitHub Actions, Terraform; strong CI/CD experience
- Proven experience building scalable data pipelines and integrations leveraging APIs.
- Data architecture - System design experience for batch and real time
- Domain experience - Prior work in consumer finance, banking or fintech
- Soft skills - Proven ability to translate technical concepts to non technical audiences; excellent written & verbal communication
Nice To Haves
- Experience modernizing or migrating large-scale data environments to Databricks or AWS.
- Familiarity with data governance, cataloging, and access-control frameworks.
- Proven success influencing technical direction and driving adoption of best practices across teams.
Responsibilities
- Design, build, and optimize data pipelines and infrastructure in Databricks and AWS (S3, EC2, Lambda, etc.).
- Build high impact data products - Develop scalable, well tested data models that drive lifetime value, churn, and propensity insights powering RV sites and CRM activations.
- Engineer reliable data pipelines - Implement Python/Spark jobs, dbt transformations, and Orchestration with CI/CD (GitHub Actions, Terraform).
- Partner with analytics and product teams to translate business needs into scalable data models and solutions.
- Implement and promote best practices in data architecture, security, observability, and governance.
- Collaborate with data stakeholders on privacy-safe data sharing solutions, including clean-room environments and other secure data exchange methods.
Benefits
- Health Insurance Coverage (medical, dental, and vision)
- Life Insurance
- Short and Long-Term Disability Insurance
- Flexible Spending Accounts
- Holiday Pay
- 401(k) with match
- Employee Assistance Program
- Paid Parental Bonding Benefit Program
- Flexible Paid Time Off (PTO): We believe time to rest and recharge is essential. That’s why we offer a generous and flexible PTO policy. Full-time employees accrue 20 days of PTO for a full calendar year annually, with an increase to 25 days after five years of service.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
