[Remote] Staff Data Engineer
Note: The job is a remote job and is open to candidates in USA. Oscar is working with a leading FinTech Saas organization that is looking for an experienced Staff Data Engineer to join their team. In this role, you will own a critical portion of the Databricks platform, design, build, and maintain scalable data solutions while mentoring engineers and liaising between engineering and business stakeholders.
Responsibilities
- Design, build, and maintain production-grade data pipelines in Databricks
- Develop scalable data models and architecture to support multiple products and business needs
- Lead migration efforts from legacy systems to a unified Databricks Lakehouse platform
- Establish and promote engineering best practices, including testing, code reviews, monitoring, and data quality standards
- Partner with product and engineering teams to translate business requirements into data solutions
- Provide technical leadership, mentorship, and architectural guidance across the team
Skills
- 5+ years of data engineering experience with end-to-end ownership of data solutions
- Strong skills in SQL, Python, and PySpark
- Hands-on experience with Databricks (Delta Lake, Workflows, Databricks SQL)
- Experience building and operating large-scale ETL/ELT pipelines
- Strong data modeling and architecture skills
- AWS experience (S3, IAM, VPC) and familiarity with Infrastructure as Code (Terraform preferred)
- Excellent communication skills and ability to work directly with stakeholders
- U.S.-based with availability during U.S. business hours
- Experience with financial data, ERP systems, or NetSuite
- Experience supporting AI/ML, RAG, or LLM-related data workloads
- Familiarity with data governance, compliance, and regulated environments
- Experience working with distributed or nearshore engineering teams
Benefits
- Benefits
Company Overview