Senior Data Engineer building and maintaining data pipelines for cloud and AI solutions at Qodea. Collaborating with ML engineers and focusing on reliability and performance in a cloud - native environment.
About the role
- Manager II leading data engineering projects at Navy Federal Credit Union. Overseeing data governance and quality initiatives while managing engineering teams in a hybrid work environment.
Responsibilities
- To lead data engineering projects, ensuring that data systems and pipelines are designed, built, and run effectively for large-scale data processing and analytics.
- Manage data engineering projects, including design, development, and execution.
- Ensure that data engineering efforts align with business goals and drive operational success.
- Collaborate with senior stakeholders to define data needs and drive complex data initiatives.
- Implement best practices for data engineering, data governance, and data quality assurance across the organization.
- Lead cross-functional data projects and initiatives.
Requirements
- Bachelor’s Degree or the equivalent combination of education, training or experience
- 8-12 years of relevant experience
- 5-8 years of management experience; or equivalent experience as the subject matter lead or expert in area of expertise.
- Broad expertise or unique knowledge in the data engineering function.
- Deep understanding of data warehousing, ETL processes, and cloud platforms (AWS, Azure, GCP).
- Expert analytical and problem-solving skills.
- Expert knowledge of project lifecycles and management methodologies.
- Ability to influence others internally and externally, including leaders, vendors and regulators.
- Experience with Agile practices including Scrum, Azure DevOps, Git and CI/CD.
- Proven expertise in managing vendor relationships for Statement of Work (SOW) execution, developing risk mitigation strategies, and maintaining effective communication channels to ensure successful project outcomes.
Benefits
- Health insurance
- 401(k) matching
- Flexible work hours
- Paid time off
- Professional development opportunities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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