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Senior IT Big Data Developer

Washington, DC, US • Posted 13 hours ago • Updated 10 hours ago

Full Time

On-site

Fitment

Dice Job Match Score™

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Job Details

Skills

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

Summary

Project Description :

We are seeking an experienced, detail-oriented Data Architect/Engineer to expand and optimize data and data pipeline architecture, as well as optimize data flow and collection for economic policy and research teams at a large, highly regulated federal financial institution.

The ideal candidate is a hands-on data modeler with working knowledge of database design and administration, data pipeline building, and data wrangling who enjoys improving existing data systems and/or building them from the ground up. The Data Architect/Engineer 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 an enterprise data architecture to support the next generation of data initiatives.

ship is required for this position.

Qualification Requirements :

Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical field; advanced degree preferred
At least 7 years of related data architecture/engineering experience
Advanced working knowledge of SQL and relational database platforms (PostgreSQL, Microsoft SQL Server, MySQL)
Advanced working knowledge of Python, R, and other scripting languages for data engineering and analytics
Experience with large-scale data systems including distributed computing, scalable data processing, and high-volume data workload optimization
Experience designing, developing, and automating ETL/ELT workflows and data integration pipelines
Experience with workflow orchestration 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 (GitLab, 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
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 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
Working knowledge of additional programming languages such as Java, Scala, JavaScript, or Perl
Excellent oral and written communication skills with a strong customer service orientation

Skills Requirements :

SQL & relational databases (PostgreSQL, Microsoft SQL Server, MySQL)
Python, R & scripting languages (Java, Scala, JavaScript, Perl)
ETL/ELT workflow design, development & automation
Workflow orchestration (Apache Airflow, Prefect, Dagster, AWS Step Functions)
Distributed computing & large-scale data processing architecture
Data lake & enterprise data platform design and implementation
NoSQL & graph database technologies
Cloud platforms (AWS, Microsoft Azure, Snowflake)
Change Data Capture (CDC) & data warehouse implementation
CI/CD pipelines & DataOps platforms
Machine learning model development, training & deployment
Time series data analysis & forecasting
Source control (GitLab, GitHub) & Linux development environments
Structured & unstructured data processing and integration
Enterprise information architecture (conceptual, logical & physical levels)

Responsibilities :

Expand and optimize data and data pipeline architecture to support economic policy and research teams
Design and develop optimal data delivery architecture in collaboration with economists and technical experts
Build, optimize, and maintain scalable databases, data pipelines, and data processing frameworks
Design and automate ETL/ELT workflows and data integration pipelines
Migrate workflows and data pipelines between on-premises and cloud environments
Process, analyze, and integrate structured and unstructured data sources
Design and communicate enterprise information architecture at conceptual, logical, and physical levels
Implement and maintain data warehouse solutions utilizing Change Data Capture (CDC) methodologies
Implement and maintain CI/CD pipelines and DataOps platforms
Develop, train, deploy, and maintain machine learning models
Perform root cause analysis on internal and external data and business processes to identify improvement opportunities
Support the data needs of multiple teams and systems with a strong service mindset
Document data architecture designs, pipelines, and technical processes

Job ID : 1566

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: 1566
Posted 13 hours ago

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