Data Engineer

Data Engineer

Washington, DC (Hybrid)

About the Role :

We are looking for a talented Data Engineer to join our growing AI team. As a Data Engineer, you will design and build the data infrastructure and pipelines that power our AI / ML capabilities. Your work will ensure that our data scientists and ML engineers have clean, reliable, and scalable data to train, evaluate, and deploy models. You will be at the center of enabling our platform’s AI capabilities by ensuring robust data systems are in place to support experimentation, production workflows, and ongoing analytics.

Key Responsibilities :

• Design, build, and maintain scalable ETL / ELT pipelines for structured and unstructured data.
• Develop data architectures that support large-scale training, inference, and analytics workflows.
• Ensure data quality, governance, and lineage across multiple sources and systems.
• Partner with data scientists and ML engineers to deliver high-quality datasets for model development.
• Optimize data workflows for performance, scalability, and reliability on cloud platforms (AWS, GCP, Azure).
• Leverage modern data engineering tools (e.g., Spark, Databricks, Airflow, Kafka, dbt) to support pipelines and workflows.
• Implement monitoring, alerting, and observability for data pipelines to ensure robustness.
• Work across teams to ensure data systems align with platform and business goals.

Qualifications :