Data Engineer

Federal Reserve Bank • Dallas, TX

426d

About The Position

The Data Engineer at the Federal Reserve Bank of Dallas is responsible for developing data solutions that are critical to the business. This role involves creating and maintaining data pipelines, ensuring data quality, and collaborating with cross-functional teams to meet data needs. The engineer will work independently on complex tasks and may lead projects, contributing to the overall efficiency and quality of data processes within the organization.

Requirements

• 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.
• Highly proficient with Tableau, Tableau Prep, MySQL or SQL Server.
• Proficient with Apache Spark, Python and SQL.
• Hands-on experience in Gitlab with CI/CD.
• Hands-on experience in AWS Services like S3, RDS, Lambda, SQS, SNS.
• Deep understanding of AWS Cloud platforms and data engineering technologies.
• Strong SQL skills to perform data analysis and understanding of source data.
• Familiarity with NoSQL databases and JSON formats.
• Experience with data modeling, schema design, and database optimization.
• Experience with data pipeline orchestration 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.
• Experience working in a team using Agile methodology.

Nice To Haves

• Good to have experience with ETL tools.

Responsibilities

• Design, develop, monitor, and maintain data pipelines in an AWS Gov Cloud ecosystem.
• Collaborate with cross-functional teams to understand data needs and translate them into effective data pipeline solutions.
• Design and develop data and/or reporting solutions with moderate to high complexity.
• Develop, optimize, and maintain ETL processes to facilitate the smooth and accurate movement of data across systems.
• Establish data quality checks and ensure data integrity and accuracy throughout the data lifecycle.
• Implement and enforce data governance policies and procedures.
• Optimize data processing and query performance for large-scale datasets within AWS environments.
• Document data engineering processes, architecture, and configurations.
• Troubleshoot and debug data-related issues on the AWS platform.

Benefits

• Comprehensive healthcare options (Medical, Dental, and Vision)
• 401K match, and a fully funded pension plan
• Paid vacation, holidays, and volunteer hours; flexible work environment
• Generously subsidized public transportation and free parking
• Annual tuition reimbursement
• Professional development programs, training, and conferences

What This Job Offers

• Job Type: Part-time
• Career Level: Mid Level
• Industry: Monetary Authorities-Central Bank
• Education Level: Bachelor's degree