Systems Engineer

Systems Engineer

Reinventing Geospatial, Inc. (RGi) is a fast-paced small business that has the environment and culture of a start-up, with the stability and benefits of a well-established firm. We solve complex problems within geospatial software development and national defense to make an immediate impact for our nation's soldiers and analysts.

We pride ourselves on giving employees an exceptional life experience, where creativity thrives, and challenges are simply part of the fun. We provide truly excellent benefits, including:

• 100% paid employee healthcare & dental insurance
• Paid parental leave
• 401k with matching
• Escalating vacation time
• Referral bonuses
• Tuition reimbursement
• Professional development training
• Free beverages and snacks
• Weekly catered lunches and breakfast on Fridays

If you're the kind of person who leads with initiative, thrives in a fast-paced environment, and is eager to create real impact, we want you on our team.

Active Top Secret clearance with an ability to obtain SCI access and willingness to obtain CI Polygraph. US Citizenship required.

As a Systems Engineer, you will:

1. Administer Databricks environments, overseeing workspace configuration, user roles, cluster optimization, and issue resolution.
2. Support and maintain AWS infrastructure (EC2, S3, RDS, IAM, CloudWatch, Lambda) to ensure secure, scalable, and reliable operations.
3. Collaborate with data scientists, developers, and mission analysts to translate technical requirements into effective engineering solutions.
4. Implement and manage Infrastructure-as-Code (IaC) using CloudFormation and Terraform for consistent, automated deployments.
5. Contribute to Agile processes, including sprint planning, standups, and retrospectives.
6. Assist with system integration, security hardening, and operational readiness to meet compliance and mission objectives.
7. 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.