Senior Data Engineer

Senior Data Engineer

Location: Remote

Changeis, Inc. is an award-winning 8(a) certified, woman-owned small business that provides management consulting and engineering services to the public sector. Changeis' work has resulted in the successful execution of numerous programmatic initiatives, development of acquisition-sensitive deliverables, and establishment of a variety of long-term innovative strategic priorities for its customers. A Federal Agency Office of Human Resources is seeking business management support, including development and maintenance of business plans, business decision-making, acquisition/contract management, strategic planning, information technology, data analytics, and knowledge management.

The Senior Data Engineer will partner with a Federal Agency Office of Human Resources, focusing on essential areas such as business management, strategic planning, and decision-making. By developing and maintaining data architectures, engaging in acquisition/contract management, and applying expertise in information technology, data analytics, and knowledge management, the Senior Data Engineer will significantly contribute to the optimization and innovation of organizational processes. The Senior Data Engineer will collaborate with product design and engineering teams to understand their needs, and then research and devise innovative statistical models for data analysis. By communicating findings to all stakeholders and using analytics for meaningful insights, they will enable smarter business processes and stay abreast of current technical and industry developments.

Roles and Responsibilities

• Identifying new datasets and integrate them, focusing on enhancing product capabilities.
• Conducting experiments with analytical techniques to solve complex problems across various domains.
• Recognizing relevant data sources and gather structured and unstructured data to meet client needs.
• Developing and running ETL (Extract, Transform, Load) processes to manage data flow and ensure data quality.
• Supporting the development of data platforms (e.g., AWS data lake), collaborating with teams to ensure alignment with organizational goals.
• Designing algorithms and models to mine big data, perform data and error analysis, and clean and validate data.
• Analyzing data for trends and patterns, interpret insights, and apply them to meet clear objectives.
• Collaborating with software developers and machine-learning engineers to implement models in production environments.

Requirements

• 15+ years of experience in data analysis, data management, data science, or operations research.
• 7 years of experience in data and software engineering, data analytics, and machine learning, including design and implementation of end-to-end production level software and/or data engineering solutions.
• 5 years of experience working with cloud computing and database services such as Amazon Web Service (AWS).
• 5 years of professional software engineering experience in at least one of the following: Python, JavaScript (e.g., Node.js, React, Vue.js), or C#.
• Experience with data ETL (Extract, Transform, and Load).
• Experience with the ELK Stack (Elastic Search, Logstash, and Kibana).
• Ability to formulate business needs and translate them into technical functional and non-functional requirements.
• Experience with Container-based technologies such as Docker, Kubernetes, and similar technologies.
• Experience in data modeling, including transactional and data warehouse design.

Preferred

• Active AWS certification(s)