Staff Data Engineer - Remote

Overview

The Staff Data Engineer will be responsible for developing enterprise-wide data architecture, optimizing data pipelines, and supporting various teams with data-related technical issues.

In Short

• Identifies and owns technical solution requirements for data architecture.
• Creates project-specific technical designs and product selections.
• Provides expertise on data pipeline architecture.
• Develops product roadmaps and writes user stories.
• Optimizes data flow and collection for cross-functional teams.
• Implements large dataset engineering and data strategy recommendations.
• Builds infrastructure for data extraction, transformation, and loading.
• Works with stakeholders to resolve data-related technical issues.
• Writes unit and integration tests for data processing code.
• Collaborates with DevOps engineers on CI, CD, and IaC.

Requirements

• Must pass public trust clearance through the U.S. Federal Government.
• Bachelor’s degree in Computer Science or related field, or equivalent experience.
• 8+ years of professional experience in technology or data engineering.
• Extensive experience with data pipelines using Python, Java, and cloud technologies.
• Experience in designing data architecture for scalability and performance.
• Proficient in big data tools like Kafka, Spark, and Hadoop.
• Ability to build and optimize big data pipelines and architecture.
• Excellent analytic skills for working with unstructured datasets.
• Experience with Agile methodology and test-driven development.
• Ability to obtain and maintain a Public Trust clearance.

Benefits

• Highly competitive salary.
• Full healthcare benefits.
• Remote work environment.
• Occasional travel for training and project meetings.
• Equal-opportunity employer.