Data Scientist

Overview

Credence Management Solutions, LLC (Credence) is seeking a Data Engineer to join our Technology Practice. This position will provide an opportunity to work with an experienced team of Cloud Engineers, Solutions Architects, Data Scientists, Developers, and Cybersecurity professionals. The successful candidate will have the opportunity to work in a federal client environment and grow their career in the Cloud and Data Science spaces by honing their cloud and data science knowledge and skillsets. This role is supporting a federal client environment so US Citizenship is required. This position is based in Credence’s corporate headquarters located in Tyson’s Corner in Vienna, VA.

Responsibilities include, but are not limited to the duties listed below



We are seeking a motivated and skilled Data Engineer to join our team. The ideal candidate is passionate about data engineering, possesses a strong analytical mindset, and demonstrates a keen interest in working with large-scale data systems. In this role, you will assist in designing, developing, and maintaining our data pipelines, ensuring the efficient flow of data between various systems. You will collaborate closely with cross-functional teams, including data scientists, cloud engineers, software engineers, and business analysts, to enable data-driven decision-making and deliver high-quality solutions.



Responsibilities:

Assist in designing, developing, and maintaining data pipelines, ensuring smooth data flow from diverse sources into our data warehouse.
Collaborate with data scientists and software engineers to implement efficient and scalable data processing solutions.
Perform data cleansing, transformation, and aggregation to ensure data integrity and accuracy.
Help optimize and tune data pipelines for performance and reliability.
Assist in monitoring and troubleshooting data-related issues to ensure smooth operations.
Collaborate with cross-functional teams to understand data requirements and translate them into technical solutions.
Stay up-to-date with emerging data engineering technologies and best practices to contribute innovative ideas and improvements.
Document data engineering processes, procedures, and standards for future reference.

Education, Requirements and Qualifications

Must be clearable for DoD Public Trust or higher
Bachelor's degree in computer science, information systems, economics or a related critical thinking field. Equivalent practical experience will also be considered.
Strong understanding of data engineering concepts and principles (ingestion, standardization, transformation)
Proficiency in programming languages such as Python, Java, or Scala.
Experience with SQL and relational databases.
Familiarity with data modeling and ETL/ELT (Extract, Transform, Load) processes.
Basic understanding of distributed computing and big data technologies such as Apache Hadoop, Spark, or Kafka.
Knowledge of cloud-based data storage and processing platforms like AWS, Azure, or Google Cloud is a plus.
Excellent problem-solving and analytical skills.
Strong communication and teamwork abilities.
Attention to detail and commitment to delivering high-quality work.
Ability to work in a fast-paced environment and handle multiple tasks simultaneously



Nice to have

Familiarity with DevOps scripting languages (Gitlab CI/CD)
AWS Cloud Practitioner or AWS Associate Level Certification
Experience automating tasks in a cloud or on premise environment

Working Conditions and Physical Requirements

Onsite in - Vienna Va

#LI-Onsite