Systems Engineer

• Administer Databricks environments, overseeing workspace configuration, user roles, cluster optimization, and issue resolution.
• Support and maintain AWS infrastructure (EC2, S3, RDS, IAM, CloudWatch, Lambda) to ensure secure, scalable, and reliable operations.
• Collaborate with data scientists, developers, and mission analysts to translate technical requirements into effective engineering solutions.
• Implement and manage Infrastructure-as-Code (IaC) using CloudFormation and Terraform for consistent, automated deployments.
• Contribute to Agile processes, including sprint planning, standups, and retrospectives.
• Assist with system integration, security hardening, and operational readiness to meet compliance and mission objectives.
• Develop and maintain comprehensive system documentation aligned with customer standards.

• Education: Bachelor’s in Computer Science, Information Systems, Engineering, or related field with 6+ years experience.
• Databricks Expertise: Proven, hands-on experience administering and supporting Databricks in enterprise or mission-critical environments.
• Cloud Infrastructure: Skilled in managing AWS services including EC2, RDS, S3, IAM, and networking components.
• Automation: Experienced in developing and testing automation scripts to streamline cloud and data operations.
• Documentation: Strong ability to create and maintain technical documentation, work instructions, and configuration records.
• Data Manipulation: Proficient in Microsoft Excel for data transformation, analysis, and visualization.
• Presentation Development: Experienced in building PowerPoint presentations, integrating visuals, graphs, and analytical insights.
• Security & Compliance: Familiar with classified cloud environment standards and compliance best practices.
• Certification: Must hold or be willing to obtain Security+ CE (or equivalent) within six months for privileged user access.
• Agile Experience: Background in Agile/Scrum environments using tools such as Jira and Confluence.
• Professional Skills: Strong analytical and problem-solving abilities, high attention to detail, and capable of working independently or within collaborative, fast-paced teams.

• Experience supporting DoD or IC customers
• Familiarity with the IC customer mission systems and data handling standards.
• Knowledge of containerization (e.g., Docker, ECS, EKS).
• Experience with Python (Pandas, Boto3, PySpark, MLOps), Java or Scala in a data engineering context.
• AWS certification (e.g., AWS Solutions Architect Associate or Professional)
• Familiarity with scripting languages such as Bash, and Bash Scripting.
• Experience with Databricks, Jupyter Notebook, Microsoft Power Query and Power Pivot.
• Strong proficiency in SQL, including advanced performance tuning, query plan analysis, and indexing strategies.
• Experience with transforming data and join/merge with other data sets sharing a common key.
• Software Architectures: Client-Server, Microservices, Model-View-Controller.
• Cloud Exposure:
• Multi-cloud architectures: AWS, IBM, Google, Azure, and Oracle.
• Specific AWS Services: Compute (EC2, Lambda), Storage (S3, EBS), Security, Identity & Compliance (IAM, IdAM, KMS), SQS, SNS, and CloudFormation.
• Certifications such as AWS DevOps Engineer or similar.
• Knowledge of continuous integration and delivery tools: Jenkins, GitLab, and Docker.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.