Description:
Assured Information Security (AIS) has an immediate opening for a Data Engineer/Integrator. This is an onsite position located in Annapolis Junction, MD and requires a TS/SCI w/CI Poly. In this role We you’ll collaborate with a team of developers to fulfill data integration requirements.

EDUCATION/EXPERIENCE/SKILLSET REQUIRED:

• Bachelor’s degree in Software or Data Engineering/Administration or related field and 5 years’ experience OR equivalent combination of education and experience.
• Experience using the Databricks platform for building, deploying, and managing data and AI solutions.
• Experience building ETL pipelines, managing data pipelines, and working with large datasets using tools like Spark, Python, and SQL.
• Experience with technologies like Delta Lake, Delta Live Tables, and Databricks Workflows.
  Clearance Required: Active TS/SCI with CI polygraph
  AA / Disability / Veteran
  US Salary Range: $130,000 - $160,000
  The salary offered to a selected candidate will be based on several factors including location, skills, and experience. In addition to a comprehensive benefits package which includes employer paid health insurance and a 7% contribution to your 401k, candidates may be eligible for other forms of compensation.
  AIS is a leading cyber and information security company supporting mission critical operations across the DoD, intelligence community, commerce and beyond. Founded in 2001, AIS is a privately-owned company committed to excellence in all facets. We pride ourselves on offering some of the best benefits seen in the industry. We celebrate the unique backgrounds and experiences of our people and encourage new ideas, innovation, and the autonomy to create the future and career they want with our support.
  Requirements:

• Write and maintain code using an Extract-Transform-Load (ETL) platform to ensure data is transformed into suitable formats as defined by IC ITE initiatives.
• Work with external teams and systems, employing various protocols including HTML and SFTP to collect data efficiently.
• Enhance the ETL platform by adding features aimed at shortening timelines for future data integration efforts.
• Develop and maintain software, ensuring seamless integration into a fully functional system.
• Collaborate with external teams to validate data ingest processes.
• Provide comprehensive documentation covering system architecture, development, and any enhancements made throughout the process.