Senior Data Engineer - TS/SCI Clearance, Multi-Cloud Data

BuddoBot Inc.; Chantilly (VA); On-site; USD 130,000 - 170,000; Full time

Job summary

Dark Wolf in Chantilly/Herndon, VA is seeking a Senior Data Engineer to design, build, and optimize robust data pipelines, data warehouses, and streaming solutions in multi-cloud, secure environments. You will integrate diverse data sources, automate workflows, and deploy containerized data services.

The role requires active TS/SCI clearance with Full-Scope Polygraph, a Bachelor's degree in a technical field (Master's preferred), and 4–7+ years of data engineering experience with Spark, Kafka,

Qualifications

• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field.
• 4-7+ years of data engineering experience.
• Active TS/SCI security clearance with Full-Scope Polygraph.

Responsibilities

• Design and implement batch and real-time ingestion pipelines using Spark, Kafka, and Airflow.
• Model data warehouses with Snowflake, Redshift, or BigQuery.
• Deploy containerized data services with Docker and Kubernetes.
• Incorporate automated security scanning and credential management into CI/CD pipelines.
• Collaborate in Agile teams to estimate stories, review code, and mentor junior data engineers.

Skills

PySpark

Airflow

Kafka

dbt

Python

SQL

Scala/Java

REST API

Docker

Kubernetes

Helm

Agile

Multi-cloud

SAST/DAST

Education

Bachelor's degree in CS/IS/Engineering

Master's degree preferred

Tools

AWS GovCloud

Azure

Snowflake

Redshift

BigQuery

Job description

Dark Wolf in Chantilly/Herndon, VA is seeking a Senior Data Engineer to design, build, and optimize robust data pipelines, data warehouses, and streaming solutions in multi-cloud, secure environments. You will integrate diverse data sources, automate workflows, and deploy containerized data services.

The role requires active TS/SCI clearance with Full-Scope Polygraph, a Bachelor's degree in a technical field (Master's preferred), and 4–7+ years of data engineering experience with Spark, Kafka,