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Senior Data Engineer

Chantilly, VA, US • Posted 14 hours ago • Updated 1 hour ago

Full Time

On-site

Fitment

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Job Details

Skills

Usability
Pivotal
Artificial Intelligence
Workflow
Cloud Computing
Data Processing
Data Analysis
Decision-making
Data Engineering
Computer Science
Software Engineering
Python
SQL
Apache Airflow
Apache HTTP Server
Extract
Transform
Load
Amazon Web Services
Finance
Translation
Kubernetes

Summary

Overview

VTG is seeking a talented and experienced Senior Data Engineer to serve as an integrator between business needs and technical solutions. Must be able to work creatively and efficiently to solve difficult technical problems.

What will you do?

As a Data Engineer in this role, you will be at the forefront of transforming financial data into actionable insights for a mission-driven customer. Your primary responsibility will be to develop, optimize, and maintain robust ETL processes and data pipelines. You will leverage your expertise in Python and SQL to condition and normalize both raw and structured data, enhancing its usability and searchability within downstream enterprise tools. Your work will be pivotal in implementing cutting-edge technology, including AI models, to improve data fidelity and accelerate data engineering tasks. Familiarity with Apache Airflow and Apache Hop will be beneficial as you build new and repeatable workflows to support the team's objectives.
Your success in this position will be bolstered by your ability to work independently as well as collaboratively with a team of technical experts, data managers, and operational stakeholders. Experience with Amazon Web Services (AWS) will be crucial as you deploy scalable solutions in a cloud environment. While not mandatory, a background in Kubernetes will give you an edge, as will any experience with financial data and language translation models.
In this dynamic role, you will not only support the team in conditioning financial data but also play a key role in the adoption of modern data engineering practices. Your contributions will directly impact the efficiency and effectiveness of data processing, setting the stage for advanced data analysis and decision-making. The ideal candidate will bring a proven track record of building and implementing ETL processes, with a keen eye for optimizing data for various enterprise applications. If you have a passion for data engineering and are ready to take on a challenge that marries technical prowess with mission-critical analysis, this is the opportunity for you.

Do you have what it takes?

Active TS/SCI with Polygraph required.
Bachelor's degree in computer science, Software Engineering, or related field.
Required Skills:
- Python
- Structured Query Language (SQL)
- Apache Airflow
- Apache Hop
- Experience normalizing raw, unstructured, and structured data
- Ability to work independently and collaboratively
- Experience building, optimizing, and implementing ETL processes and data pipelines
- Experience with Amazon Web Services (AWS)
Desired Skills:
- Experience with financial data
- Experience with language translation models
- Experience using Kubernetes

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: RTL806649
Position Id: 38ccf35cb751520266e2a2ab8d65d37f
Posted 14 hours ago

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