[Remote] Senior Data Engineer | The Points Guy

Note: The job is a remote job and is open to candidates in USA. The Points Guy is looking for a Senior Data Engineer to build data products and create the foundation for machine learning and business analytics efforts. In this role, you will design and optimize data pipelines, collaborate with stakeholders, and implement best practices in data architecture and governance.

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

Skills

• Must be located in the Eastern or Central Time Zone and be based in the United States
• 5+ years designing and developing on AWS and Databricks data lake and lakehouse architectures
• Expert in SQL, Python/Scala
• Hands on with Kafka and Spark Structured Streaming in production
• Dimensional, data vault, and real time schemas; SQL performance tuning on data warehouses, including Snowflake and Databricks SQL
• Dbt, GitHub Actions, Terraform; strong CI/CD experience
• Proven experience building scalable data pipelines and integrations leveraging APIs
• System design experience for batch and real time
• Prior work in consumer finance, banking or fintech
• Proven ability to translate technical concepts to non technical audiences; excellent written & verbal communication
• 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

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.

Company Overview