Data Engineer - Experienced

Company

Federal Reserve Bank of New York

Understands technical requirements to design, develop, and integrate components addressing business needs with minimal guidance.

Responsibilities

In this role you will be responsible for designing, developing, and maintaining data pipelines in support of data engineering and data management activities. You must be passionate about data engineering and data quality with a solid background in AWS, Databricks, Python, Trino and SQL.

Your role as a Data Engineer: 

• Design, develop, monitor, and maintain data pipelines in an AWS Gov Cloud ecosystem with AWS, Databricks, Delta Lake and Starburst as the underlying platforms
• Collaborate with cross-functional teams to understand data needs and translate them into effective data pipeline solutions.
• Establish data quality checks and ensure data integrity and accuracy throughout the data lifecycle.
• Automate testing of the data pipelines and configure as part of CICD
• Optimize data processing and query performance for large-scale datasets within AWS and Databricks environments.
• Document data engineering processes, architecture, and configurations.
• Troubleshooting and debugging data-related issues on the AWS Databricks platform.  
• Integrating Databricks with other AWS products such as SNS, SQS, and MSK.

What we are looking for: 

• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
• Minimum of 5 years of experience in data engineering roles, with a focus on AWS and Databricks.
• Highly proficient with Databricks, Spark, Starburst/Trino, Python, PySpark and SQL
• Hands-on experience in Gitlab with CI/CD.
• Hands-on experience in AWS Services like S3, RDS, Lambda, SQS, SNS, MSK is required.
• Strong SQL skills to perform data analysis and understanding of source data.
• Experience with data pipeline orchestration tools
• Experience with ETL tools
• Ability to troubleshoot complex data issues and implement effective solutions.
• Strong communication and interpersonal skills.
• Ability to work collaboratively in a team-oriented environment.
• Proactive in staying updated with industry trends and emerging technologies in data engineering.

Full Time / Part Time

Full time

Regular / Temporary

Regular

Job Exempt (Yes / No)

Yes

Job Category

Information Technology

Work Shift

First (United States of America)

The Federal Reserve Banks believe that diversity and inclusion among our employees is critical to our success as an organization, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool. The Federal Reserve Banks are committed to equal employment opportunity for employees and job applicants in compliance with applicable law and to an environment where employees are valued for their differences.

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