Data Platform Engineer with Security Clearance

DNI (Delaware Nation Industries); Washington (District of Columbia); On-site; USD 130,000 - 190,000; Full time

Benefits offered by this job

Medical Premiums Covered

401K Matching

Disability Insurance

Pet Insurance

Education Reimbursement

Parking and Transit Benefits

Job summary

DNI (Delaware Nation Industries) in Washington, DC is seeking a Senior Data Platform Engineer to design, build and maintain scalable data platforms using AWS, Azure and GCP. You will implement reusable CI/CD templates, IaC, and secure data access controls to enable self-service for data scientists and analysts.

Responsibilities include robust ETL/ELT frameworks, monitoring, and collaboration with Data Architects, Software Engineers, and Data Scientists to deliver end-to-end data products while

Qualifications

• Bachelor's or Master's degree in Computer Science, Software Engineering, or related field.
• Minimum 4 years in data engineering, platform engineering, or related DevOps/data role.
• Proficiency in Python, Java, or Scala with strong SQL and NoSQL experience.
• Hands-on experience with data lake/warehouse tech (Databricks, Snowflake, Spark, Kafka).
• Experience with containers, workflows, and IaC (Docker, Kubernetes, Airflow, Dagster, Terraform).
• Must have TS/SCI clearance.

Responsibilities

• Design and maintain scalable cloud-native data platforms (data lakes, lake houses, data warehouses).
• Develop robust ETL/ELT pipelines for batch and streaming data.
• Implement RBAC, encryption, data lineage, and compliance controls.
• Monitor platform performance, storage and query responsiveness; optimize cost and availability.
• Collaborate with Data Architects, Software Developers and Data Scientists to deliver end-to-end data products.
• Provide self-service enablement for analytics teams via CI/CD templates and Infrastructure as Code.

Skills

Python

Java

Scala

SQL

NoSQL

Education

Bachelor's or Master's in Computer Science / Software Engineering

Tools

Databricks

Snowflake

Apache Spark

Apache Kafka

Docker

Kubernetes

Airflow

Dagster

Terraform

Job description

Description 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
• 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.