Data Engineer

Join the Data Strategy team as an Associate-level Data Engineer reporting to the VP, Head of Data Engineering. Support cloud-based data pipelines, integration frameworks, self-service data platforms, and enterprise-grade data solutions while collaborating with engineering, product, infrastructure, security, and application development teams.

Responsibilities

• Support the design, development, and maintenance of cloud-based data ingestion and integration pipelines
• Build and maintain ETL / ELT workflows using Python, SQL, Spark, and Databricks
• Assist in integrating data from SaaS platforms, APIs, databases, and cloud applications
• Contribute to reusable data integration components and frameworks
• Monitor data pipelines, troubleshoot issues, and support production operations
• Assist in developing centralized data services and APIs for analytics, reporting, and application teams
• Support logical data models and service-layer abstractions
• Participate in batch and near-real-time data processing workflows
• Contribute to modernization initiatives migrating legacy data processes to cloud-native solutions
• Prepare curated datasets for data lakes, enterprise data hubs, and data warehouses
• Support scalable data storage and compute solutions using Databricks and cloud data services
• Enable reliable data access for analytics, reporting, and data science use cases
• Develop and maintain SQL objects, data models, and transformations
• Write maintainable Python code for data processing and orchestration
• Participate in code reviews, testing, and documentation to ensure data quality and reliability

Requirements

• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent practical experience
• 2–4 years of experience in data engineering, analytics engineering, or a related technical role
• Exposure to financial services or enterprise data environments is a plus
• Proficiency in Python and SQL
• Hands-on experience with Databricks, Snowflake, or similar data platforms
• Familiarity with cloud data services, especially Azure, including data lakes, warehouses, and orchestration tools
• Experience with structured and semi-structured data from APIs, SaaS platforms, and databases
• Understanding of ETL / ELT, data modeling, and pipeline monitoring
• Exposure to Power BI or Tableau is a plus
• Strong problem-solving skills and attention to detail
• Ability to learn quickly and adapt in a fast-paced environment
• Comfort working collaboratively within cross-functional teams
• Clear written and verbal communication skills

Benefits

• Medical insurance
• Retirement savings contributions
• Mental and physical health resources
• Equal pay program
• Annual discretionary bonuses
• Long-term incentive programs