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.
- 5+ years of experience as a Data Engineer or in a similar role focused on large-scale data systems.
- Strong programming skills in Python, SQL, and familiarity with Java/Scala a plus.
- Hands-on experience with big data frameworks (e.g., Spark, Flink, Hadoop) and workflow orchestration (Airflow, Prefect, Dagster).
- Proven experience with cloud-based data platforms (AWS, GCP, Azure) and data lake/warehouse technologies (Snowflake, BigQuery, Redshift, Delta Lake).
- Strong understanding of data modeling, ETL/ELT processes, and distributed data systems.
- Experience with streaming data systems (Kafka, Kinesis, Pub/Sub) preferred.
- Knowledge of data governance, security, and compliance best practices.
- Strong analytical and problem-solving skills, with a focus on building maintainable, scalable systems.
- Excellent collaboration skills and ability to work across engineering, product, and AI teams
Top Skills
What We Do
We help companies realize the full value of AI by empowering their teams to instantly make any application AI-intelligent.
We value and believe in equitable access to AI where all people can adopt AI and have access to AI technology and insights regardless of their ethnicity, socio-economic status, educational or career level, work role, age, physical ability, or any other quality. The goal of our AI Squared technology is to level this playing field by providing AI integration technologies that would increase AI adoption and enable access to AI for anyone.
This is our story. Dr. Benjamin Harvey was the Chief of Operations Data Science at NSA where he experienced challenges first-hand associated with the inability to adopt AI, provide equitable access to AI, and unlock the value of AI for intelligence analysts and the military warfighter. His inspiration came from his two brothers who were Army officers recently deployed to the Middle East (Kuwait, Iraq and Qatar) and SW Asia (Afghanistan and Pakistan) who both relied on intelligence to achieve mission. He began a journey and developed a solution to solve these inequities that simplifies and accelerates AI integration into applications ultimately protecting lives of Americans and military warfighters in similar situations as his brothers.
Our vision is to build the world’s most powerful model integration framework and AI integration software which enables any application to become AI-powered. For the first time ever data scientists can describe their models using our model integration framework and our AI integration software will overlay intelligence from inference results directly into a pre-existing web application. We provide application developers with a software (e.g. SDK) and analysts with a no/low-code solution to customize the user experience
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