Responsibilities:

• Lead the design, build, optimization, and maintenance of scalable ETL pipelines

• Guide the development of normalization and transformation frameworks to standardize disparate datasets for analytics, cybersecurity, and mission operations.

• Champion the development of highquality, modern, and fully reproducible code using established software engineering practices including version control, modular design, automated testing, documentation, and CI/CDto ensure reliability, reusability, and maintainability across data pipelines and Databricks workflows.

• Mentor and coach team on software engineering design principles to help improve code quality and design by team members over time

• Develop solutions within a secure cloud-based architecture leveraging Databricks Lakehouse features (Unity Catalog, Delta Lake, Auto Loader, cluster configuration).

• Manage environment setup, version control, deployment, and CI/CD processes for data pipelines and Databricks apps.

• Develop and maintain integrations between Databricks and enterprise systems through APIs, S3 ingestion endpoints and database connectors.

  Collaborate with cross-functional engineering, cybersecurity, and product teams to design and implement features that improve data ingestion, metadata management, automation workflows, and platform usability

• Document technical requirements, user stories, and workflow specifications for data integrations and interface development.

• Help scrum master and teammates estimate, sequence, and prioritize work to ensure efficient delivery of prioritized development capabilities

Qualifications:
Required:

• Lead the design, build, optimization, and maintenance of scalable ETL pipelines

• Guide the development of normalization and transformation frameworks to standardize disparate datasets for analytics, cybersecurity, and mission operations.

• Champion the development of highquality, modern, and fully reproducible code using established software engineering practices including version control, modular design, automated testing, documentation, and CI/CDto ensure reliability, reusability, and maintainability across data pipelines and Databricks workflows.

• Mentor and coach team on software engineering design principles to help improve code quality and design by team members over time

• Develop solutions within a secure cloud-based architecture leveraging Databricks Lakehouse features (Unity Catalog, Delta Lake, Auto Loader, cluster configuration).

• Manage environment setup, version control, deployment, and CI/CD processes for data pipelines and Databricks apps.

• Develop and maintain integrations between Databricks and enterprise systems through APIs, S3 ingestion endpoints and database connectors.

• Collaborate with crossfunctional engineering, cybersecurity, and product teams to design and implement features that improve data ingestion, metadata management, automation workflows, and platform usability

• Document technical requirements, user stories, and workflow specifications for data integrations and interface development.

• Help scrum master and teammates estimate, sequence, and prioritize work to ensure efficient delivery of prioritized development capabilities.

Qualifications:
Required:

• Experience building scalable data-driven services, data ingestion pipelines, and automation workflows, contributing to highreliability cloud solutions at an enterprise scale

• Experience working on complicated problems and providing solutions that are creative, yet practical and feasible

• Strong communication and problemsolving skills in dynamic, remote environments

• Ability to empathetically work with platform customers (software or data engineering teams) to triage and resolve issues, enable self-service, and introduce improvements based on feedback

• Ability to collaborate with data scientists, software engineers, platform engineers, cybersecurity, and product stakeholders to support data platform requirements

• Bachelors or Masters degree in Computer Science, Software Engineering, or a related discipline. Experience will be considered in lieu of a degree

• Demonstrated experience working with agile project management tools

• Must be able to obtain and maintain a NASA Public Trust background investigation

Desired:

• Experience supporting the NASA Web Services Operational Environment

• Experience working with industry-standard Enterprise Data Platform applications, such as Databricks, Apache Airflow, or similar technologies

• Displays tenacity in the face of hard problems and ambiguous requirements

• Interest in driving innovation through independent contributions and strategic guidance of a team of software engineers and data scientists.

• Experience supporting Federal government project

• Ability to design and document technical solutions related to continuous integration and continuous deployment

Pay Range:

There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.

Since this position can be worked in more than one location, the range shown is the national average for the position.

The proposed salary range for this position is: