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

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