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Senior IT Data Engineer

System One Washington, DC

Washington, DC

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Contract Senior Apache Airflow AWS

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Job Description

System One is hiring a Senior IT Data Engineer to support the Federal Reserve Board’s Division of Research & Statistics (R&S) DATA section in Washington, DC (onsite).

Responsibilities

Expand and optimize data and data pipeline architecture.
Optimize data flow and collection to support economic policy and research teams.
Design and develop optimal data delivery architecture.
Improve existing data systems and/or build new systems from the ground up.
Optimize or redesign the R&S division data architecture to support next generation data initiatives.
Support economists and technical experts.
Provide service-minded support for multiple teams and systems with a self-directed working approach.
Design and communicate enterprise information architecture across conceptual, logical, and physical levels.

Requirements

Bachelor’s degree in computer science, Information Technology, Engineering, or related technical field; at least 7 years of related experience (advanced degree preferred).
Advanced working knowledge of SQL.
Experience with relational database platforms including PostgreSQL, Microsoft SQL Server, and MySQL.
Advanced working knowledge of Python, R, and other scripting languages used for data engineering and analytics.
Experience with large-scale data systems: distributed computing, scalable data processing, data storage architecture, and optimization of high-volume data workloads.
Experience designing, developing, and automating ETL/ELT workflows and data integration pipelines.
Experience building, optimizing, and maintaining scalable databases, data pipelines, and data processing frameworks.
Experience with workflow orchestration and pipeline automation tools such as Apache Airflow, Prefect, Dagster, or AWS Step Functions.
Experience migrating workflows and data pipelines between on-premises and cloud environments.
Experience processing, analyzing, and integrating structured and unstructured data sources.
Experience developing in Linux and using source control platforms such as GitLab and/or GitHub.
Ability to perform root cause analysis on internal and external data and business processes to answer business questions and identify improvement opportunities.
Ability to design and communicate enterprise information architecture at conceptual, logical, and physical levels.
In-depth experience designing and implementing database, data lake, and enterprise data platform solutions.
Strong hands-on software engineering experience including development, testing, and deployment of data applications and services.
Excellent oral and written communication skills, with a strong customer service orientation.
Exceptional analytical, problem-solving, and troubleshooting skills.
Understanding of time series data and related analytical and forecasting techniques.
Experience working in a research environment and/or with economic or financial data.
Experience with NoSQL and graph database technologies.
Experience developing, training, deploying, and maintaining machine learning models.
Working experience with AWS, Microsoft Azure, and Snowflake.
Experience implementing data warehouses utilizing Change Data Capture (CDC) methodologies.
Experience implementing and maintaining CI/CD pipelines and DataOps platforms.
Working knowledge of additional programming and scripting languages such as Java, Scala, JavaScript, or Perl.

Technology Stack

SQL, PostgreSQL, Microsoft SQL Server, MySQL
Python, R
Apache Airflow, Prefect, Dagster, AWS Step Functions
Linux, GitLab, GitHub
NoSQL, graph database technologies
Machine learning models
AWS, Microsoft Azure, Snowflake
Change Data Capture (CDC)
CI/CD pipelines, DataOps
Java, Scala, JavaScript, Perl

Benefits

Eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans.
Participation in a 401(k) plan.

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