Data Engineer

Overview

Design, develop and maintain robust data pipelines and infrastructure that enable efficient data flow and accessibility for critical business operations and analytics.

What you'll do

• Design, develop and optimize scalable ETL/ELT processes to ingest, transform and load data from various sources into the system of record (SOR).
• Build and maintain data pipelines using a variety of technologies (e.g., Python, SQL, cloud-native services such as AWS Glue, Step Functions, Lambda, Kafka).
• Collaborate with software engineers, data engineers, analysts and business stakeholders to understand data requirements and translate them into technical solutions.
• Implement data quality checks and monitoring to ensure accuracy, completeness and reliability of data.
• Optimize database performance and ensure data security and compliance with relevant regulations.
• Troubleshoot and resolve data-related issues, ensuring data availability and integrity.
• Participate in the design and architecture of data platforms, including data warehousing, data lake and streaming solutions.
• Document data models, data flows and technical specifications.
• Stay up-to-date with emerging data engineering technologies and best practices.

What you'll need

• Bachelor's degree in Computer Science, Engineering, Information Systems or a related field.
• 3+ years of experience in data engineering, ETL development or a similar role.
• Strong proficiency in SQL and experience with relational databases (e.g., PostgreSQL, RDS).
• Strong working experience with AWS ecosystems and its data-related services.
• Proficiency in a programming language commonly used for data engineering (e.g., Python, Java, Scala).
• Experience with data warehousing concepts and technologies (e.g., Snowflake, Redshift, Synapse).
• Familiarity with data lake concepts and technologies (e.g., S3, Iceberg).
• Understanding of data modeling principles and best practices.
• Experience with version control systems (e.g., Git).
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills.

Nice to have

• Experience working with AI tools including co-pilot and Claude Code.
• Financial services industry experience.