Cloud Data Platform Engineer | TS/SCI

DNI (Delaware Nation Industries); Washington (District of Columbia); On-site; USD 130,000 - 180,000; Full time

Benefits offered by this job

Covers 100% of employee premiums (Meds

401K matching

Disability insurance

Pet Insurance

Education reimbursement

Parking and transit benefits

Job summary

DNI (Delaware Nation Industries) in the Washington, DC area seeks a data platform engineer to design and maintain scalable, cloud-native data platforms, including data lakes, lake houses, and data warehouses with Databricks, Snowflake, Spark, and Kafka.

You will build reusable CI/CD templates and IaC to empower data scientists and analysts, develop robust ETL/ELT pipelines with strong security controls, and monitor performance to ensure high availability and cost efficiency.

Qualifications

• Degree in Computer Science, Software Engineering, or related field.
• Minimum 4 years in data engineering or equivalent.
• Proficiency in Python, Java, or Scala; strong SQL; NoSQL and distributed DBs.
• Hands-on experience with data lakes and warehouses (Databricks/Snowflake/Spark/Kafka).
• Familiarity with Docker, Kubernetes, Airflow or Dagster, and Terraform.
• Must have TS/SCI Security clearance.

Responsibilities

• Design and maintain scalable, cloud-native data platforms (data lakes, lake houses, data warehouses).
• Build reusable CI/CD templates and Infrastructure as Code to enable self-service environments for data scientists and analysts.
• Develop robust ETL/ELT frameworks for batch and streaming data with strong security controls (RBAC, encryption, data lineage).
• Monitor performance, storage, and query responsiveness; collaborate with data teams to deliver end-to-end data products.

Skills

Python/Java/Scala

Advanced SQL

NoSQL databases

Databricks/Snowflake/Spark/Kafka

Docker/Kubernetes

Airflow/Dagster

Terraform

Education

Bachelor's or Master's in CS/SE

Tools

Databricks

Snowflake

Apache Spark

Apache Kafka

Job description

DNI (Delaware Nation Industries) in the Washington, DC area seeks a data platform engineer to design and maintain scalable, cloud-native data platforms, including data lakes, lake houses, and data warehouses with Databricks, Snowflake, Spark, and Kafka.

You will build reusable CI/CD templates and IaC to empower data scientists and analysts, develop robust ETL/ELT pipelines with strong security controls, and monitor performance to ensure high availability and cost efficiency.