As a Systems Engineer, you will...
- 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.
Systems Engineer Qualifications...
- 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.
Additional Skills We'd Like to See:
- 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.