Senior Cloud Data Engineer

Stem IT is a mission-driven digital transformation firm looking to add a Senior Cloud Data Engineer to its growing engineering team in Washington DC. This role involves building modern cloud data platforms and scalable data solutions to support mission-critical applications.

Responsibilities:

• Build modern cloud data platforms and scalable data solutions supporting mission-critical applications
• Designing and developing data pipelines, data lake technologies, cloud-native architectures, and analytics platforms while working alongside engineering, infrastructure, and client teams in a collaborative environment

Requirements:

• 7+ years of professional experience in data engineering, cloud engineering, platform engineering or related fields
• Strong experience with Python, SQL, Apache Spark/PySpark, and Databricks
• Hands-on experience building scalable ETL/ELT pipelines and data processing workflows
• Experience designing and deploying data platforms within AWS
• Strong knowledge of relational and NoSQL databases, data lakes, and modern data architectures
• Experience with AWS services such as Glue, EMR, S3, Redshift, Lambda, or Airflow/MWAA
• Experience with CI/CD and Infrastructure as Code practices
• Bachelor's degree in Computer Science, Engineering, or a related technical discipline
• Experience with dbt, Apache Iceberg, Parquet, Avro, or ORC
• Experience with Kafka or other event-driven architectures
• Background building AI-enabled data solutions, including RAG, vector search, or Amazon Bedrock
• Experience with Docker, Kubernetes, Terraform, or CloudFormation
• Experience modernizing legacy data platforms or migrating Hadoop/ETL environments to the cloud
• Experience supporting federal, financial services, or other highly regulated environments
• Familiarity with NIST 800-53 or FedRAMP