Data Engineer

Join our data engineering team to build robust, scalable data infrastructure that powers AI/ML initiatives and business intelligence across commercial and government clients. This role focuses on designing and implementing modern data architectures, pipelines, and platforms. Key Responsibilities Design and implement scalable data architectures using modern data stack technologies Build real-time and batch data processing pipelines using Apache Spark, Kafka, and Airflow Develop ETL/ELT processes for data integration across multiple source systems Implement data lake and data warehouse solutions using Snowflake, Databricks, and cloud services Build and maintain cloud-based data platforms on AWS, Azure, and GCP Design data mesh architectures and self-service analytics platforms Optimize data storage, processing, and query performance Data Governance & Quality Implement data quality monitoring and validation frameworks Design data cataloging and metadata management solutions Ensure data security, privacy, and compliance with federal regulations Develop data lineage tracking and impact analysis capabilities Required Skills and Qualifications Education & Experience Bachelor's degree in Computer Science, Engineering, or related field 5+ years of data engineering experience in enterprise environments 3+ years of cloud data platform experience Technical Skills Programming: Advanced Python, SQL, Scala; familiarity with Java Preferred Qualifications Data mesh and modern data architecture experience Terraform, CloudFormation, or similar IaC experience #J-18808-Ljbffr