Technology and Operations - Data Engineer

Technology and Operations - Data Engineer

Location:

Sterling - 45580 Terminal
-Virginia

Job Title:

Technology and Operations - Data Engineer

We are looking for a seasoned Data Engineer with a strong foundation in big data technologies and a growing proficiency in AI/ML systems. This individual will bring deep expertise in large-scale data processing frameworks (both open‑source and proprietary), OLAP/OLTP systems, and real‑time data streaming. The ideal candidate will also demonstrate a passion for enabling AI‑driven solutions through robust, scalable data infrastructure.

• Design, develop, and maintain highly scalable, fault‑tolerant real‑time, near real‑time, and batch data pipelines.
• Implement data quality checks, validation, and cleaning processes to ensure high data accuracy and integrity.
• Continuously monitor and optimize data pipelines and databases for performance, resource utilization, and cost efficiency.
• Uphold high standards in code quality, testing, and documentation.
• Mentor junior data engineers and provide technical leadership within the team.
• Perform exploratory and quantitative analytics, data mining, and discovery to support AI/ML initiatives.
• Collaborate with data analysts and business stakeholders to make data accessible and actionable.
• Participate in 24x7 platform support rotations as needed.

• Bachelor’s degree or higher in Computer Science or a related field.
• 7+ years of experience in data engineering roles.
• Proficiency in programming languages such as Scala, Python, or Java.
• Expertise in distributed data processing frameworks like Apache Spark or Flink.
• Experience with stream processing systems such as Kafka or Kinesis.
• Strong knowledge of cloud platforms (e.g., AWS) and cloud‑native data platforms like Databricks, Snowflake, or Redshift.
• Solid understanding of SQL, schema design, dimensional modeling, and ETL best practices.
• Experience with workflow orchestration tools such as Apache Airflow.
• Familiarity with CI/CD pipelines, preferably Git Hub Actions.
• Strong technical documentation and issue‑tracking skills.
• Experience with analytics tools such as Looker or Tableau.
• Demonstrated ability to adopt and integrate new technologies.
• Experience in direct‑to‑consumer digital businesses is a plus.

• Familiarity with statistical modeling libraries (e.g., Scikit‑learn, XGBoost, Tensor Flow).
• Experience with AI/ML frameworks such as Tensor Flow, PyTorch, or Scikit‑learn.
• Exposure to GenAI technologies, including LLMs and RAG pipelines.

Seniority level: Mid‑Senior level

Employment type: Contract

Job function: Product Management, Marketing, and Design

Industries: IT Services and IT Consulting, Engineering Services, and Information Services