[Remote] Senior Data Engineer | The Points Guy
Salário Estimado
R$ 8.333,00 - R$ 19.000,00
Descrição da Vaga
Note: The job is a remote job and is open to candidates in USA.
Red Ventures, a global portfolio of high-growth companies, is seeking a Senior Data Engineer for their The Points Guy team.
In this role, you will build data products and create the infrastructure that supports machine learning and business analytics efforts, collaborating with various stakeholders to develop end-to-end solutions.
Responsibilities • Design, build, and optimize data pipelines and infrastructure in Databricks and AWS (S3, EC2, Lambda, etc.)
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 • A portfolio of influential brands, digital platforms, and strategic partnerships that help people make life's most important decisions.
It was founded in 2000, and is headquartered in Fort Mill, South Carolina, USA, with a workforce of 1001-5000 employees.
Its website is http://www.redventures.com.
Requisitos
- 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
Responsabilidades
- In this role, you will build data products and create the infrastructure that supports machine learning and business analytics efforts, collaborating with various stakeholders to develop end-to-end solutions
- 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
Benefícios
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