Senior Data Engineer II

Are you passionate about making a positive impact through technology?

Do you approach complex challenges with curiosity and a collaborative spirit?

About Our Team At Cirium, our vision is to keep the world connected. As industry leaders in aviation analytics, we empower customers to understand the past, interpret the present, and anticipate the future. Our mission is to transform aviation by supporting the digital advancements of airlines, airports, travel companies, tech innovators, manufacturers, financial institutions, and more. Discover more about Cirium at [[URL]>

About The Role

This position offers the opportunity to work on innovative projects and contribute directly to the growth of our organization. As a Senior Data Engineer II, you will be part of a diverse team that values every perspective. You’ll engage in a variety of data engineering tasks and support colleagues through mentorship, collaboration, and knowledge-sharing. We strive to create a supportive environment where everyone can thrive.

Responsibilities

• Ensure timely and accurate data loads, with robust tracking and reporting.
• Collaborate with team members and stakeholders to understand and document requirements.
• Apply your knowledge of tools such as AWS (EC2, Lambda, Athena, S3, ECS, ECR, SQS, SNS), SQL, Linux, Docker, Jenkins, Terraform, Excel, Vertica, and Github (experience with all is not required; willingness to learn is valued).
• Write efficient, maintainable code, adhering to best practices.
• Review and contribute to technical specifications for data components.
• Research and resolve complex data engineering issues, identifying root causes and sharing solutions.
• Identify and implement automation or improved tools to enhance efficiency and effectiveness.
• Participate in the design and delivery of data engineering and data management solutions.
• Champion process improvements that support inclusive and efficient workflows.
• Engage with multiple development methodologies (Agile, Waterfall, etc.) and collaborate with key stakeholders.
• Encourage knowledge sharing and team-based problem solving to foster a culture of growth and learning.
• Mentor and support the development of team members, sharing insights on methodologies and optimization techniques.
• Stay updated on new technology developments and share relevant knowledge with the team.
• Design and work with complex data models.
• Perform all other duties as assigned, contributing to team success.
  
  

Requirements

• You have experience with data engineering or related fields. Equivalent skills and knowledge gained through professional, volunteer, or educational experience are welcomed.
• You are comfortable working with or learning new technologies and platforms.
• You have strong problem-solving skills and a collaborative approach.
• You value diversity, equity, inclusion, and accessibility, and want to work with a team that shares these commitments.
• You communicate effectively and work respectfully with people from all backgrounds and abilities.
  
  

Learn more about the LexisNexis Risk team and how we work