Sr. Data Engineer

Company

Federal Reserve Bank of Dallas

We are dedicated to serving the public by promoting a strong financial system and a healthy economy for all.

These efforts take a team of dedicated individuals doing many different jobs.

Together we’re creating a workplace where talented people can thrive, and we welcome your unique background and perspective to help present the best possible solutions for our partners.

Location: #LI-Hybrid

About the Role:

The Lead Data Engineer serves as an integral member of a national team responsible for supporting the core functions of the Credit Risk Management business line.

As a Lead data Engineer specializing in modern data engineering, you will play a crucial role in our data ecosystem, leveraging your expertise in AWS tools, scripting, data analytics, and software development.

Collaborating with cross-functional teams, you will be responsible for designing, implementing, and maintaining data pipelines, ensuring seamless integration between on-premises and cloud-based environments.

Your role will involve working closely with data analysts, QA engineers, architects, and DevOps teams to meet project goals efficiently and effectively.

The Data Engineer will be  operating under a clear framework of accountability with substantial autonomy.

The successful candidate will develop a strong domain knowledge of the relevant business area/s, managing key responsibilities to include requirement analysis, code, test, debug, document, implement and maintain data and/or analytics solutions.

You Will:


* Develop and maintain data pipelines between on-prem relational databases and AWS cloud environment using AWS tools such as DMS, Glue, Redshift (Stored Procedures), and cloud databases.


* Utilize strong scripting skills in Python for automation and data manipulation tasks.


* Collaborate with CICD DevOps teams using tools like GitLab for continuous integration and deployment.


* Lead the team of data engineers in Agile framework practices, assisting with project planning, estimation, and design.


* Evaluate business needs, translate them into technical requirements, and document artifacts accordingly.


* Monitor, maintain, and enhance data and application processes, ensuring adherence to SLAs and process compliance.


* Proactively identify and implement process improvements to optimize data workflows and enhance efficiency.


* Lead and contribute end-to-end implementation of large-scale software development projects, ensuring high-quality deliverables.


* Interpret and analyze data sets using statistical techniques, providing valuable insights to support business decision-making.


* Build dashboards and reports using BI solutions like Tableau to visualize data trends and patterns.


* Demonstrate strong expertise in cloud core technologies and stay updated with emerging trends in data engineering.

You Have:


* 10 + years of experience in Data engineering with a focus on ...