Systems Engineer
On-siteGaithersburg, Maryland, United States or Chantilly, Virginia, United States
Job Summary
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.
Required Qualifications
- Active Top Secret clearance with an ability to obtain SCI access and willingness to obtain CI Polygraph
- US Citizenship
- Bachelor's in Computer Science, Information Systems, Engineering, or related field
- 6+ years experience
- Proven, hands-on experience administering and supporting Databricks in enterprise or mission-critical environments
- Skilled in managing AWS services including EC2, RDS, S3, IAM, and networking components
- Experienced in developing and testing automation scripts to streamline cloud and data operations
- Strong ability to create and maintain technical documentation, work instructions, and configuration records
- Proficient in Microsoft Excel for data transformation, analysis, and visualization
- Experienced in building PowerPoint presentations, integrating visuals, graphs, and analytical insights
- Familiar with classified cloud environment standards and compliance best practices
- Must hold or be willing to obtain Security+ CE (or equivalent) within six months for privileged user access
- Background in Agile/Scrum environments using tools such as Jira and Confluence
- Strong analytical and problem-solving abilities
- High attention to detail
- Capable of working independently or within collaborative, fast-paced teams
Desired Qualifications
- 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
- 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
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