Data Engineer

Clark Construction Group, LLC•McLean, VA

5d•Onsite

About The Position

We are looking for an ambitious entry level Data Engineer to join our data operations team. In this role, you will help build and maintain the data backbone of our organization—the essential systems that transform raw, fragmented data into a structured, reliable resource. This is a perfect opportunity for a recent graduate to transition from academic theory to professional practice. You will work under the mentorship of senior engineers to master the art of building scalable, production-grade data environments that power our most critical business decisions. This is a full-time onsite position based in our McLean, VA office.

Requirements

Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related quantitative field.
0–2+ years of experience. We highly value relevant internship experience, open-source contributions, or significant academic projects.
Strong proficiency in Python (or a similar language like Java/Scala) with an emphasis on writing clean, maintainable code.
Solid understanding of relational database concepts and the ability to write complex queries (joins, window functions, and aggregations).
Exposure to relational databases (e.g., PostgreSQL, MySQL) and an interest in learning NoSQL environments (e.g., MongoDB).
Familiarity with cloud concepts (AWS, Azure, or GCP) and basic exposure to distributed computing (e.g., Spark) is a significant plus.
A desire to learn modern orchestration and transformation tools such as Airflow or dbt.

Nice To Haves

Curious Problem Solver: You enjoy deconstructing a problem to its root cause rather than just applying a quick fix.
Efficiency Minded: You are naturally inclined to look for ways to make code run faster and processes more reliable.
Adaptable: You are excited by the fast-moving nature of data technology and are eager to learn new frameworks as they emerge.

Responsibilities

Assist in building and monitoring end-to-end data pipelines that serve as the bridge between source systems and our data warehouse.
Write and maintain scripts to clean, structure, and enrich data, ensuring it is optimized for high-level analysis.
Implement automated validation checks to identify data discrepancies and ensure our "source of truth" remains accurate.
Help design and refine data models and database structures to keep our storage systems organized and easy to navigate.
Work closely with Data Scientists and Analysts to understand their requirements and deliver the datasets they need to succeed.