Cloud/Data Engineer jobs in United States
cer-icon
Apply on Employer Site
company-logo

Prometheus Federal Services (PFS) · 1 day ago

Cloud/Data Engineer

Prometheus Federal Services (PFS) is a trusted partner to federal health agencies, delivering mission-driven data, analytics, and technology solutions. They are seeking skilled Cloud/Data Engineers to design, build, and modernize data platforms that support analytics, automation, and AI/ML initiatives across federal health programs.

Graphic DesignManagement ConsultingRisk ManagementTraining
badNo H1BnoteU.S. Citizen Onlynote

Responsibilities

Design, develop, and deploy end-to-end pipelines for data acquisition, preparation, cleaning, and transformation
Design, develop, and deliver data quality monitoring and observability tools to track data lineage and manage integrity across data pipelines
Design, develop, and manage cloud solutions to deliver data, analytics, and AI/ML products, including migration and modernization efforts
Manage cloud environments to support data and analytics development, including provisioning, configuration, and cost management
Apply DevOps tools to deliver enhanced automation, workflow orchestration, and monitoring

Qualification

Cloud infrastructure AWSCloud infrastructure AzureCloud infrastructure GCPData engineeringArchitectureETL/ELT pipelinesDevOps tools CI/CDDevOps tools TerraformSQLPythonData governanceData quality managementGitHub/GitLabContainerization DockerContainerization KubernetesData platforms DatabricksData platforms SparkCloud certificationsCommunication skills

Required

Bachelor's degree in Computer Science, Data Science, or a related field
Five (5) + years of experience with data engineering and data architecture development, including developing scalable ETL/ELT pipelines for reporting and analytics
Three (3) + years of experience working with cloud infrastructure (i.e., AWS, Azure, GCP), including environment provisioning, configuration, and management
Three (3) + years of experience utilizing languages such as SQL, Python, and PySpark for data ingestion, cleaning, and transformation
Experience working with DevOps/DevSecOps tools and frameworks, including Continuous Integration/Continuous Delivery (CI/CD), build automation, and Infrastructure as Code (e.g., Terraform, CloudFormation) and containerization (e.g., Docker, Kubernetes)
Experience working across a variety of data warehousing tools, including SQL and Oracle
Experience with GitHub, GitLab, and GitHub Actions
Excellent written and verbal communication skills with both technical and non-technical stakeholders
Authorized to work in the U.S. indefinitely without sponsorship
Ability to obtain a public trust

Preferred

Experience building data pipelines and architecture to manage ingest, integration, and data product development for large-scale unstructured datasets (PDF, documents) across multiple source systems
Experience working with data platforms and processing tools, including Databricks and Spark
Experience migrating legacy and on-premises data and systems to cloud environments
Experience developing data products through a medallion architecture
Knowledge and experience applying data governance and data quality management tools, frameworks, and best practices
Amazon or Azure cloud certifications

Company

Prometheus Federal Services (PFS)

twittertwittertwitter
company-logo
PFS supports federal clients in planning and executing healthcare transformation, innovation, technology, and quality improvement initiatives, programs, and projects.

Funding

Current Stage
Growth Stage

Leadership Team

leader-logo
Greg Smallwood
Chief Executive Officer
linkedin
leader-logo
Kate Viggiano Janich
Director of Engagement & Communications
linkedin
Company data provided by crunchbase