Big Data Engineer

the Client•Reston, VA

7h•Hybrid

About The Position

The Big Data Engineer will design, develop, and maintain the client's big data ecosystem to support advanced analytics and data-driven decision-making across engineering, procurement, and construction workflows. This role is pivotal in enabling scalable, secure, and efficient data solutions for projects in semiconductor, electric vehicle, advanced materials, and data center sectors. The position reports to the Digital Solutions Lead and works under general direction. The role may provide technical guidance to junior engineers or analysts, and involves frequent interaction with data scientists, project managers, IT teams, and business stakeholders.

Requirements

Proficiency with big data cloud platforms (AWS, Azure) and tools such as Hadoop, Spark, Kafka.
Strong skills in Python, SQL, and data modeling techniques.

Nice To Haves

Experience with containerization (Docker/Kubernetes) and CI/CD pipelines.
Familiarity with data governance frameworks and enterprise data architecture.
Knowledge of engineering and construction workflows is a plus.

Responsibilities

Design and implement big data architectures, including ingestion, processing, and modeling of heterogeneous data sources.
Develop and maintain ETL/ELT pipelines for structured and unstructured data.
Work closely with data scientists, analysts, and business SMEs to deliver actionable insights.
Integrate big data solutions with the client's digital ecosystem and project execution platforms.
Ensure data reliability, security, and compliance with the client's governance policies.
Optimize data workflows for scalability and efficiency.
Explore emerging technologies and frameworks to enhance data engineering capabilities.
Support automation and advanced analytics initiatives across projects.