Platform Architecture:
- Design and maintain scalable, cloud-native data platforms, including data lakes, lake houses, and data warehouses (e.g., AWS, Azure, GCP).
Self-Service Enablement:
- Build reusable CI/CD templates and Infrastructure as Code to allow data scientists and analysts to provision environments and build pipelines independently.
- Develop robust ETL and ELT frameworks for both batch and streaming data.
Implement strict role-based access controls, data encryption, data lineage tracking, and compliance frameworks to protect sensitive digital health or enterprise data. - Monitor platform performance, storage use, and query responsiveness to ensure high availability and cost efficiency. Collaborate with Data Architects, Software Developers, and Data Scientists to integrate RESTful APIs and deliver cohesive end-to-end data products.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical field.
- Minimum 4 years in data engineering, platform engineering, or a highly technical DevOps or data role.
- Proficiency in Python, Java, or Scala; advanced SQL skills; and experience with NoSQL and distributed database systems.
- Hands-on experience with data lake and warehouse technologies such as Databricks, Snowflake, Apache Spark, or Apache Kafka.
- Familiarity with containerization tools (Docker, Kubernetes), workflow orchestration platforms (Airflow, Dagster), and Infrastructure as Code tools (Terraform).
- Must have a TS/SCI Security clearance
Benefits
Benefits Include:
- Covers 100% of employee benefit premiums, including Medical (PPO or HDHP Option), Vision, Dental
- Matching 401K
- Short- and Long-Term Disability
- Pet Insurance
- Professional Development/Education Reimbursement
- Parking and Transit Benefits for NY, NJ, ATL, and DC Metro areas
Other Duties:
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.
Skills Required
- Bachelor's or Master's degree in Computer Science, Software Engineering, or related technical field
- Minimum 4 years in data engineering, platform engineering, or a highly technical DevOps or data role
- Proficiency in Python, Java, or Scala
- Advanced SQL skills
- Experience with NoSQL and distributed database systems
- Hands-on experience with Databricks, Snowflake, Apache Spark, or Apache Kafka
- Familiarity with Docker and Kubernetes
- Experience with workflow orchestration (Airflow, Dagster)
- Experience with Infrastructure as Code tools (Terraform)
- Must have a TS/SCI Security clearance
What We Do
DNI (Delaware Nation Industries) is the parent organization for all Information Technology focused businesses owned by the Delaware Nation. Founded in 2014 DNI was created to support the rapid growth of the tribe’s first 8(a) technology firm, Indigenous Technologies, LLC. In 2011 Indigenous Technologies began several teaming partnerships with CSI, LLC. and was awarded 4 prime contracts with federal customers as a result of this arrangement. This partnership continued through the Fall of 2014 when DNI purchased CSI adding its capabilities and past performance to the growing Tribal IT Services division. As a result of this strategic acquisition by the Delaware Nation, CSI became the second Tribally owned technology focused LLC in the Delaware Nation portfolio. The third company under DNI operations is CreativeIT, LLC. CreativeIT is being built with an eye to the future and is focused on developing core competencies which supplement the strong capabilities of its sister organizations. DNI continues to build a strong team of companies, providing an all-inclusive suite of Information Technology services and capabilities to our clients.
