Data Engineer (Senior)

At Dataonez, we value innovation, hard work, and creativity in our employees. If you're looking for a company that values these qualities and provides a supportive work culture, we encourage you to apply. We offer competitive salaries, excellent health benefits, and a team of colleagues who will support you in your career journey. As a Dataonez employee, you'll have the opportunity to work on some of the most pressing challenges facing government and industry. Whether you're just starting your career or looking for a new opportunity to advance, we have a range of roles that offer both challenges and rewards. We believe that our employees are our greatest asset, and we are committed to creating a work environment that helps them succeed. If you're interested in joining our team, we encourage you to apply. Data Engineer (Senior) Location: Ashburn, VA Roles & Responsibilities: Focus on data infrastructure. Lead and build out data services/platforms from scratch (using OpenSource technologies). Creating and maintaining transparent, Data integration pipelines involving relational as well as file based data sources Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Improve existing data models while implementing new business capabilities and integration points. Creating proactive monitoring so we learn about data breakages or inconsistencies right away. Maintaining internal documentation of how the data is housed and transformed. Stay current with latest cloud technologies, patterns, and methodologies Requirements: Bachelor’s in computer science, or related field with 5 years of experience working in a data engineer role, or related position. Advanced knowledge of AWS Services/Architecture and AWS Management and Governance suite of products such as CloudTrail, CloudWatch Experience working with Apache Airflow or similar technology to build DAG based data pipeline and workflow Proven knowledge of data platforms and tangible examples of designing and developing complex data pipelines using Python is a big plus Advanced working SQL knowledge and experience working with relational databases. Experience with code hosting platforms for version control and collaboration such as GitHub. Familiarity with container and container orchestration tools (Docker, Kubernetes, OpenShift etc.) Ability to translate business requirements into non-technical use cases Experience working with a multitude of internal and external stakeholders is a big plus.