- Salary
- $129k – $149k
- Location
- Washington, DC
- Type
- Full-time
- Department
- Engineering
- Seniority
- Senior
- Experience
- 5+ years
- Education
- Bachelor
- Source
- ApplicantPro
Description
Description:
CORE-CSI is a small business headquartered in Sterling, VA. We provide trusted and results-oriented expertise to the Intelligence Community, the Department of Defense, and other Federal and Commercial customers across the US.
The Senior Data Engineer designs, develops, and maintains secure, scalable cloud-based data architectures and data pipelines. The position supports advanced analytics, fraud detection, machine learning, and investigative operations by delivering reliable, high-quality data solutions within the Microsoft Azure environment.
Key Responsibilities:
• Develop new datasets to support loan fraud identification, audits, and investigations.
• Optimizes the performance of common queries in the database.
• Creates and implements data models to improve the efficiency and utility of the database.
• Proposes and implements architectural improvements to reduce cloud costs.
• Develops, optimizes, and maintains ELT/ETL pipelines
• Monitors pipelines to ensure performance and regular updating of datasets.
• Works with a Cloud Architect to develop new ways of accessing and transporting data.
• Aids in the development of dashboards or reports to visualize data and storytelling.
• Assists in ingestion, transformation, and configuration of data in cloud-based data lake or data warehouse.
• Assists with exploration, structuring, and analysis of unstructured and semi-structured data from SQL and data lake environments.
• In collaboration with data architecture staff, authors SOPs governing creation, maintenance, and monitoring of all assets in Azure environment.
• Design, implement, and maintain ELT/ETL pipelines for efficient processing of source data in Azure Synapse and Azure Machine Learning (using SDK V1 and SDK V2).
Required:
• Bachelor's degree in data engineering, computer science, data science, machine learning, mathematics, or a related field; OR 5 years of applied work experience in any of the same fields.
• Minimum 5 years of experience in Azure DevOps, Azure Synapse and Azure Machine Learning.
• Five (5) years of hands-on experience in each of the following:
a. Maintaining SQL databases and conducting advanced operations in SQL and T-SQL.
b. Designing, implementing, and maintaining ELT/ETL processes in cloud-based data analytics environments.
• Three (3) years of hands-on experience in each of the following:
A. Working in Azure Synapse and Azure Machine Learning, with the modern data stack. Certifications equivalent to DP-203 or DP-900.
B. Manipulating data in Python. Pandas required. PySpark/Polars preferred. Experience developing reusable, modular code preferred.
Preferred:
• Implementing pipelines and infrastructure using code-first approaches (Python SDK, CLI, REST APIs, or IaC tooling)
• Additional certifications preferred: AZ-305
• Implementing source control and CI/CD workflows
• Demonstrated familiarity with AI coding assistants and LLM integration patterns
• Experience with REST APIs, Infrastructure as Code (IaC), and Azure DevOps.
• Experience supporting AI, Large Language Models (LLMs), and Natural Language Processing (NLP).
• Experience supporting Federal Government or Inspector General organizations.
EEO Statement
We are committed to providing equal employment opportunities to all persons regardless of race, color, ancestry, citizenship, national origin, religion, veteran status, disability, genetic characteristic or information, age, gender, sexual orientation, gender identity, marital status, family status, pregnancy, or other legally protected status (collectively, "protected statuses"). We do not tolerate unlawful discrimination in any employment decisions, including recruiting, hiring, compensation, promotion, benefits, discipline, termination, job assignments or training.
Skills
PythonAzureCI/CDSQLMachine LearningNLPPandasData ScienceData EngineeringETLRESTDevOps
