Job Details
Job Description
Job Title: Data Engineer
Company: Client of BizFirst
Location: Crystal City/Alexandria, VA (Onsite requirement: 3 days per week)
Employment Type: Full-time W-2 Employee
Contract Length: 5 years
Security Clearance: Secret clearance required; TS/SCI clearance preferred
Introduction
BizFirst is assisting our client in recruiting a Data Engineer. Our client leverages cutting-edge technology to solve the government's most complex data puzzles, helping to transform business operations and decision-making processes.
What You Will Do
As a Data Engineer, you will play a crucial role in designing, developing, and maintaining our data infrastructure and systems. You will leverage your expertise in ETL, Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks to ensure efficient data processing and analysis.
Responsibilities
- Design, develop, and implement end-to-end data pipelines, utilizing ETL processes and technologies such as Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
- Create and optimize data pipelines from scratch, ensuring scalability, reliability, and high-performance processing.
- Perform data cleansing, data integration, and data quality assurance activities to maintain the accuracy and integrity of large datasets.
- Leverage big data technologies to efficiently process and analyze large datasets, particularly those encountered in a federal agency.
- Troubleshoot data-related problems and provide innovative solutions to address complex data challenges.
- Implement and enforce data governance policies and procedures, ensuring compliance with regulatory requirements and industry best practices.
- Work closely with cross-functional teams to understand data requirements and design optimal data models and architectures.
- Collaborate with data scientists, analysts, and stakeholders to provide timely and accurate data insights and support decision-making processes.
- Maintain documentation for software applications, workflows, and processes.
- Stay updated with emerging trends and advancements in data engineering and recommend suitable tools and technologies for continuous improvement.
Requirements - Interim/ Secret clearance required; TS/SCI clearance preferred.
- 5+ years of Experience with Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter
- Minimum of 3 years of experience as a Data Engineer, with significant experience creating data pipelines from scratch.
- Proficiency in ETL processes and hands-on experience with Databricks
- Strong problem-solving skills and ability to address complex data-related issues.
- Understanding of data modeling, database design principles, and data governance practices.
- Excellent communication and collaboration skills.
Nice to Have - CAC - Nice to Have
- SIPR Token - Nice to Have
- GFE - Nice to Have
- Knowledge of Qlik/Qlik Sense, QVD/QlikView, and Qlik Production Application Standards (QPAS).
- Recent DoD or IC-related experience.
Fully Remote Option Fully remote work schedules are not currently available.
Clearance Sponsorship Our client will only consider candidates that currently possess an active interim Secret security clearance or higher at this time; TS preferred.