Data Engineer

About the role

The ideal candidate is a critical thinker and perpetual learner; excited to gain exposure and build skillsets across a range of technologies while solving some of our clients’ toughest challenges.

Responsibilities

• Complete development efforts across data pipeline to store, manage, store, and provision to data consumers.
• Be an active and collaborating member of an Agile/Scrum team and follow all Agile/Scrum best practices.
• Write code to ensure the performance and reliability of data extraction and processing.
• Support continuous process automation for data ingest.
• Achieve technical excellence by advocating for and adhering to lean-agile engineering principles and practices 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 and evolving requirements.
• Help cultivate an environment that promotes customer service excellence, innovation, collaboration, and teamwork.
• Collaborate with others as part of a cross-functional team that includes user experience researchers and designers, product managers, engineers, and other functional specialists.

Qualifications

• Must be a US Citizen.
• Must be able to obtain a Public Trust Clearance.
• 7+ years of IT experience including experience in design, management, and solutioning of large, complex data sets and models.
• Experience with developing data pipelines from many sources from structured and unstructured data sets in a variety of formats.
• Proficiency in developing ETL processes, and performing test and validation steps.
• Proficiency to manipulate data (Python, R, SQL, SAS).
• Strong knowledge of big data analysis and storage tools and technologies.
• Strong understanding of the agile principles and ability to apply them.
• Strong understanding of the CI/CD pipelines and ability to apply them.
• Experience with relational database, such as, PostgreSQL.
• Work comfortably in version control systems, such as, Git Repositories.

Ideally, you will also have

• Experience creating and consuming APIs.
• Experience with DHS and knowledge of DHS standards a plus.
• Candidates will be given special consideration for extensive experience with Python.
• Ability to develop visualizations utilizing Tableau or PowerBI.
• Experience in developing Shell scripts on Linux.
• Demonstrated experience translating business and technical requirements into comprehensive data strategies and analytic solutions.
• Demonstrated ability to communicate across all levels of the organization and communicate technical terms to non-technical audiences.