Data Engineer

We’re looking for a Data Engineer to support large-scale data initiatives in a highly regulated environment. This role centers on building and improving scalable data systems that enable reporting, analytics, and advanced data use cases across the organization.

Key Responsibilities:

• Design, build, and maintain scalable data pipelines using modern distributed processing frameworks and Python-based tooling

• Develop and enhance ETL/ELT workflows within a cloud-based data platform

• Implement data models aligned with contemporary lakehouse design patterns

• Ensure reliability, accuracy, and performance across all stages of the data lifecycle

• Partner with cross-functional teams to translate business and data requirements into technical solutions

• Create reusable, modular components for data transformation and processing

• Support automated deployment pipelines using CI/CD and DevOps practices

• Monitor, troubleshoot, and optimize data workflows for efficiency and scalability

• Contribute to data governance, security, and compliance standards in a regulated setting

Required Experience:

• Hands-on experience with modern data platforms and integration tools (e.g., distributed compute engines, ingestion frameworks, or comparable technologies)

• Strong background in data architecture, data integration, and data warehousing concepts

• Experience developing and deploying custom processing logic in distributed environments

• Proficiency in SQL and experience with relational database systems (cloud-hosted or on-prem)

• Solid programming skills in Python and experience with large-scale data processing frameworks

• Experience building and optimizing data pipelines in cloud environments

• Familiarity with both batch and streaming data processing patterns

Core Competencies:

• Strong analytical and problem-solving abilities

• Comfortable working across cross-functional and distributed teams

• Ability to clearly communicate technical concepts to non-technical audiences

• Self-starter with a strong sense of ownership and accountability

• Focus on delivering reliable, high-quality data solutions