Mid-Level Data Engineer

Everforth ECS is hiring a Mid-Level Data Engineer to support a high-priority DHS OCIO data analytics and business intelligence platform from a remote setup.

Responsibilities

• Deliver end-to-end development across data pipelines for storing, managing, and provisioning data to consumers
• Collaborate with data scientists, data architects, and federal stakeholders to deploy models into production
• Write code to maintain performance and reliability for data extraction and processing
• Support ongoing automation for data ingest
• Demonstrate technical excellence by applying lean-agile engineering principles such as API-first design, simple design, continuous integration, version control, and automated testing
• Work with program management and engineers to implement and document complex, evolving requirements
• Contribute to a culture focused on customer service excellence, innovation, collaboration, and teamwork
• Partner in a cross-functional environment with user experience researchers and designers, product managers, engineers, and other specialists

Requirements

• US Citizenship required
• Ability to obtain a Public Trust Clearance
• 7+ years of IT experience, including experience working with modern cloud data warehouse technologies
• Experience designing table models
• Experience ingesting multiple data types into the Redshift data warehouse
• Proficiency developing ETL processes, including test and validation steps
• Proficiency manipulating data using Python, R, SQL, and SAS
• Strong knowledge of big data analysis and storage tools and technologies
• Strong understanding of agile principles and the ability to apply them
• Experience working within the AWS ecosystem
• Experience with relational databases (e.g., PostgreSQL)
• Comfort working with version control systems (e.g., Git)

Technologies

• AWS
• Redshift
• Python
• R
• SQL
• SAS
• PostgreSQL
• Git
• ETL

Location

• Remote

Compensation

• USD 130,000 - 140,000 per year

Benefits

• Benefits - Everforth ECS