Data Engineer Sr

5 days ago


Augusta, Maine, United States Zapata Technology Full time
Job Summary:

The DevOps and Data Engineer will be part of a skilled IT team that works independently and/or collectively with other engineers to identify and test potential enhancements and resolve technical issues with the rapid scaling of an intelligence application.

This position is contingent upon award. The expected award is in October.

Key Responsibilities:

Data Engineering:
Collaboratively develop and implement custom-developed ETL scripts and support software products as needed. Ensure data quality, consistency, and integrity throughout the pipeline. Create, monitor, and adjust data ingestion flows. Process raw data by transforming it into a usable form (ETL).

Rapidly create data pipelines to support training exercises with little prior notification to connect fielded systems to cloud-based infrastructure as well as other fielded systems. Develop for and work with the ZIngest system, an ingestion system developed by Zapata Technology.

Systems Administration:
Database management, data management, and fixing issues that arise. Perform basic SysAdmin tasks, including the installation of peripheral software and software updates.

Software Engineering:
Provide full life cycle database design and software development systems analysis to include requirements gathering; development; testing; documentation; supporting technical writers and testers; configuration; maintenance of developed software projects. Manage lifecycle development of software, gaining and understanding requirements, executing actual development, documentation, maintenance, and expansion of deliverables as the need arises. Implement rapid features and API capabilities to meet evolving customer needs for data access and dissemination. Interface with the customer(s) to create ingestion feeds for unique systems with the ability to implement solutions with few prior known details/documentations about said systems. Use source-code control to track and protect changes to the code baseline.

Infrastructure Management:
Design, architect, and implement scalable infrastructure on multiple IC networks and application "nodes" using DevSecOps practices. Manage containerization efforts (Docker, Podman) and orchestration. Upgrade and migrate applications to containers to allow the required scalability and move legacy monolith applications to a microservices type environment. Document Infrastructure administration, tear down, and creation.

Automation and Security:
Implement Infrastructure as Code (IaC) using Puppet, Ansible or similar technology to meet security mandated change management guidelines. Ensure application and database compliance with DISA and GISA standards and regulations. Design and implement API security to protect unauthorized access to data and reduce exposed endpoints. Review API code and designs to identify potential security risks. Implement Role Based Access Control (RBAC) for APIs to meet basic security requirements. Document API endpoints using OpenAPI documentation standards. Work with Cyber-Security personnel to document security vulnerabilities and any mitigations to reduce risks that cannot be removed.

Requirements:
Knowledge of JavaScript frameworks and API development. Knowledge of Agile programming and development concepts including Jira or similar. Knowledge of DevSecOps processes including Infrastructure as Code using Puppet, Ansible, etc. Knowledge of containerization and container orchestration including networking using Docker, Podman, or Kubernetes. Experience with SIGINT and All Source Intelligence reports standards such as USMTF and lifecycle requirements management development. Experience with the full DataOps lifecycle including ingestion and ETL processes into databases, data lakes, or data warehouses. Ability to look at the big picture while evaluating software requests in order to determine where existing requirements intersect or can be used in conjunction with new products as needed. Ability to estimate the technical debt of the creation of new features or systems. Interpret specifications, troubleshoot, and define needed software solutions. Detail-oriented and organized; able to understand information systems and ensure accuracy of work. Grasp of Software Engineering concepts, especially scripting in Python and Groovy. Knowledge of Linux System administration including the Linux command line, service management, software configuration concepts in lieu of virtual machine constraints. Ability to work with the customer(s) to find out specifications and formats for the data. Ability to convert raw data into a human-readable and easily viewable format. Ability to convert data and fix malformed data. This requires an understanding of XML, JSON, and regular expressions. *Requires an IAT Level II certification.

Preferred Qualifications and Skills:
An understanding of pub-sub messaging systems including RabbitMQ, Pulsar, and Kafka. A solid understanding of and experience in NiFi data flow, from configuration to creating new flows and making new processors. Experience with troubleshooting the NiFi software. Knowledge of NiFi, with the ability to keep the cluster running. Ability to write scripts in Groovy and Python within NiFi and Linux. Ability to write new processors in NiFi using Java.
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