We are seeking a highly skilled and motivated Mid-Level Data Engineer to join our growing team. The successful candidate will have a strong background in data engineering, and a passion for working with large, complex data sets.

• Design and implement data pipelines, architectures and data sets to support business and data analytics needs.
• Work with cross-functional teams to understand and define data requirements, and translate them into technical solutions.
• Build, optimize, and maintain data storage and processing systems, including data warehousing, ETL, and data lake technologies.
• Collaborate with data scientists and analysts to ensure data is accurate, complete, and accessible for analysis and reporting.
• Monitor and troubleshoot data pipeline performance, and optimize as necessary.
• Ensure data security and data governance compliance.
• Evaluate and implement new technologies and tools to improve data processing and storage capabilities.

• 3-5 years of experience in data engineering or related field.
• Strong hands-on experience with data warehousing, ETL, and data lake technologies.
• Experience with SQL and at least one programming language such as Python, Java or Scala.
• Familiarity with big data technologies such as Hadoop, Spark, and Hive.
• Experience with cloud-based data storage and processing solutions, such as AWS, Azure, or GCP.
• Strng understanding of data modeling, data warehousing and data governance.
• Experience with data security and compliance.
• Strong problem solving, analytical, and communication skills.
• Strong understanding of data governance and data privacy regulations.
• Bachelor's degree in Computer Science, Data Science, or a related field.

• Government Security Clearance 

Exovera offers a competitive salary and benefits package, as well as a dynamic and fast-paced work environment. If you are passionate about data engineering and want to be part of a team that is driving innovation and growth, we want to hear from you.

• Full remote flexibility