Data Engineer with Security Clearance

ClearanceJobs' client, a government contractor, is looking to hire a Data Engineer on a full-time, permanent basis. This position must be performed onsite in Tysons Corner, VA and requires an active Secret security clearance (minimum). After a probationary period, this opportunity also offers flexibility to work a hybrid schedule. About the Role:

We are seeking a motivated and detail-oriented Data Engineer to support our team. This role is ideal for candidates with a solid foundational knowledge of computer systems engineering and a passion for growing their skills in big data and cloud technologies. You will be working in a team of data engineering specialists, contributing to the development and maintenance of advanced data pipelines and supporting various analytical initiatives. Responsibilities: • Assist in the development and maintenance of data pipelines using Spark, Scala, PySpark, and Python. • Support the deployment and management of AWS services including EC2, S3, and IAM. • Work with the team to implement and optimize big data processing frameworks such as Hadoop and Spark. • Help with the integration and use of various compute instances for specific data processing needs. • Contribute to the development of tools and algorithms for data analysis and visualization. • Assist in troubleshooting and resolving technical issues related to data pipelines and cloud infrastructure. • Collaborate with team members to ensure efficient data processing and storage solutions. • Participate in team meetings and contribute to project planning and execution. Required Qualifications: • 3+ years of experience in data engineering

• Bachelor's degree in Data Engineering, Data Science, Computer Science, Information Technology, or a related field OR equivalent practical experience. • Basic knowledge of Spark and Hadoop distributed processing frameworks. • Familiarity with AWS services, particularly EC2, S3, and IAM. • Some experience with programming languages such as Scala, PySpark, Python, and SQL. • Understanding of data pipeline development and maintenance. • Strong problem-solving skills and the ability to work collaboratively in a team environment. • Eagerness to learn and grow in the field of data engineering and cloud technologies. Preferred Qualifications: • Exposure to Databricks Runtime and Spark Livy. • Basic understanding of location data types and spatiotemporal data.

Permanent