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Senior IT Data Engineer

Washington, DC, US • Posted 2 hours ago • Updated 2 hours ago

Full Time

On-site

Fitment

Dice Job Match Score™

👾 Reticulating splines...

Job Details

Skills

Attention To Detail
Data Flow
Database Design
Data Wrangling
Data Architecture
Computer Science
Information Technology
RDBMS
Scripting
Data Storage
Optimization
Migration
Software Engineering
Development Testing
Finance
Data Warehouse
SQL
PostgreSQL
Microsoft SQL Server
MySQL
Python
R
Data Engineering
Analytics
Orchestration
Apache Airflow
Step-Functions
Distributed Computing
Data Lake
Amazon Web Services
Microsoft Azure
Snow Flake Schema
Linux
Version Control
GitLab
GitHub
NoSQL
Graph Databases
Training
Change Data Capture
Time Series
Data Analysis
Forecasting
Programming Languages
Java
Scala
JavaScript
Perl
Communication
Customer Service
Analytical Skill
Conflict Resolution
Problem Solving
Research
Database
Data Processing
Extract
Transform
Load
ELT
Data Integration
Unstructured Data
Information Architecture
Root Cause Analysis
Business Process
Workflow
Cloud Computing
Machine Learning (ML)
Continuous Integration
Continuous Delivery

Summary

Project Description :

We are seeking an experienced, detail-oriented Data Architect/Engineer to expand and optimize our data and data pipeline architecture, as well as optimize data flow and collection for economic policy and research teams. The ideal candidate is a hands-on data modeler with working knowledge of database design and administration, data pipeline building, and data wrangling who thrives on improving existing data systems and building new ones from the ground up. This role will support economists and technical experts, ensuring optimal data delivery architecture is designed and developed. The right candidate will be excited by the prospect of optimizing or re-designing the division's data architecture to support the next generation of data initiatives.

ship required

Qualification Requirements :

Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical field with at least 7 years of related experience; advanced degree preferred
Advanced working knowledge of SQL and 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 including distributed computing, scalable data processing, data storage architecture, and high-volume data workload optimization
Experience designing, developing, and automating ETL/ELT workflows and data integration pipelines
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 developing in Linux environments and using source control platforms such as GitLab and/or GitHub
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
Experience working in a research environment and/or with economic or financial data
Working experience with cloud technologies such as 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

Skills Requirements :

SQL - advanced proficiency (PostgreSQL, Microsoft SQL Server, MySQL)
Python and R for data engineering and analytics
ETL/ELT workflow design, development, and automation
Workflow orchestration tools: Apache Airflow, Prefect, Dagster, or AWS Step Functions
Distributed computing and scalable data processing architecture
Database, data lake, and enterprise data platform design and implementation
Cloud platforms: AWS, Microsoft Azure, Snowflake
Linux development environments and source control (GitLab, GitHub)
NoSQL and graph database technologies
Machine learning model development, training, deployment, and maintenance
Change Data Capture (CDC) methodologies
CI/CD pipelines and DataOps platforms
Time series data analysis and forecasting techniques
Structured and unstructured data processing and integration
Additional programming languages: Java, Scala, JavaScript, or Perl
Excellent oral and written communication with a strong customer service orientation
Exceptional analytical, problem-solving, and troubleshooting skills

Responsibilities :

Expand and optimize data and data pipeline architecture to support economic policy and research teams
Design and develop optimal data delivery architecture to meet multi-team and multi-system data needs
Build, optimize, and maintain scalable databases, data pipelines, and data processing frameworks
Design, develop, and automate ETL/ELT workflows and data integration pipelines
Process, analyze, and integrate structured and unstructured data sources
Design and communicate enterprise information architecture at conceptual, logical, and physical levels
Perform root cause analysis on internal and external data and business processes to identify opportunities for improvement
Migrate workflows and data pipelines between on-premises and cloud environments
Develop, train, deploy, and maintain machine learning models
Implement and maintain CI/CD pipelines and DataOps platforms
Support economists and technical experts with their data needs across multiple teams and systems

Job ID : 1554

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10301578
Position Id: 1554
Posted 2 hours ago

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