Data Engineer

You will be responsible for the day-to-day operations of systems that depend on data, ensuring data is properly processed and securely transferred to its appropriate location, in a timely manner. Processing data will include managing, manipulating, storing and parsing data in a data pipeline for variety of target sources. You will also support maintenance of applications and tools that reside on these systems such as upgrades, patches, configuration changes, etc. The work is performed in a multidisciplinary team environment using agile methodologies. The candidate we seek must be highly motivated and enthusiastic about implementing new technologies and learning about new data in a small team environment where deadlines are important., * Complete development efforts across data pipeline to store, manage, store, and provision to data consumers.

• Partner with data scientists, data architects, and federal stakeholders to deploy models in production.
• 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.

• Must be able to obtain Public Trust Clearance.
• 7+ years of IT experience including experience in working with modern cloud data warehouse technologies.
• Experience with designing table models.
• Experience with ingesting data of various types into the Redshift data warehouse.
• Proficiency in developing ETL processes, and performing test and validation steps.
• Proficiency in manipulating 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.
• Experience working inside the AWS ecosystem.
• Experience with relational databases (e.g., PostgreSQL).
• Work comfortably in version control systems (e.g., Git).

Desired Skills

• Experience creating and consuming APIs.
• Experience with DHS and knowledge of DHS standards a plus.
• Ability to develop visualizations utilizing Tableau or Power BI.
• 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.
• Experience with AI/ML-specific tools and platforms.
• Experience in one of the following areas: NLP, data provenance, LLMs/RAG, or deep learning.
• A passion for staying updated with the latest advancements in AI/ML and data engineering.

Everforth ECS is the federal segment of Everforth , a $4B global organization with over 10,000 employees. Our nearly 3,500 professionals deliver advanced technology solutions in data and AI, cybersecurity, and enterprise transformation, serving defense, intelligence, and federal civilian agencies.

Our work powers mission-critical outcomes, strengthens technology partnerships, and creates meaningful opportunities for our people. We are defined by a commitment to excellence in delivery, a culture of innovation, and an environment where talent can thrive and grow.