***US based remote role with a preference for a candidate in McLean, VA area***

Job Summary:
We are seeking a highly skilled and experienced data engineering professional to join our enterprise data platform team. In this role, you will be responsible for designing, developing, and implementing scalable, cloud-native data solutions that power critical business intelligence and AI-driven initiatives across the organization. You will work at the intersection of modern data engineering and emerging artificial intelligence technologies, contributing to a robust and secure data ecosystem that spans a distributed cloud infrastructure. This is an opportunity to make a meaningful impact by building the data foundation that enables advanced analytics, machine learning, and enterprise-wide decision-making.

Responsibilities:

• Design, develop, and implement scalable data solutions for ingesting, processing, provisioning, and securing data across the enterprise data platform, including Data Lake, Cloud Data Warehouse, and downstream data marts
• Leverage modern data engineering frameworks and cloud-native services to build reliable and performant data pipelines
• Apply understanding of feature engineering, model input/output pipelines, and data serving patterns to support AI and machine learning use cases
• Implement and support LLM integration patterns, data pipelines for AI use cases, and metadata and semantic layer design for AI consumption
• Contribute to the full software development lifecycle, including design reviews, testing, validation, and certification of data pipelines and solutions
• Collaborate with cross-functional teams to ensure data solutions meet business requirements and adhere to engineering best practices
• Apply strong knowledge of distributed processing frameworks and data engineering patterns to optimize pipeline performance and scalability
• Support CI/CD processes and contribute to the continuous improvement of development workflows and deployment practices

Skills:

• Strong hands-on experience with Java, Scala, and Apache Spark for large-scale data processing
• Proficiency with streaming and event-driven technologies including Apache Kafka and Amazon Firehose
• Experience with cloud-native services including AWS Lambda, AWS Glue, and Amazon EMR
• Expertise in workflow orchestration using Apache Airflow
• Solid understanding of data lake and cloud data warehouse architectures
• Familiarity with data integration tools such as Talend or Informatica is a plus
• Experience working with vectorized data, embeddings, or AI-assisted data processing tools is a plus
• Strong understanding of data engineering best practices, patterns, and distributed processing frameworks
• Experience with CI/CD tools including Maven, Stash (Bitbucket), Bamboo, and GitLab

Qualifications:

• 8+ years of experience in data engineering or a related field
• Demonstrated experience designing and implementing enterprise-scale data platforms in a cloud environment
• Experience contributing to the full software development lifecycle including design, testing, and validation of data solutions
• Background working with AI or machine learning data pipelines is strongly preferred

This is a rare opportunity to work on a high-impact, enterprise-scale data platform that sits at the forefront of cloud and AI innovation. You will collaborate with talented engineers and data professionals in a dynamic environment where your contributions will directly influence how data is used to drive strategic decisions across a globally recognized organization. If you are passionate about building cutting-edge data infrastructure and want to shape the future of data engineering in an exciting and fast-paced setting, this role offers the challenge and growth you have been looking for.

Pay Rate Range

75 - 83 USD hourly