Data Engineer - Sr. Consultant level

Qualifications

• Basic Qualifications:
• 8 or more years of relevant work experience with a Bachelor Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD
• Preferred Qualifications:
• 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD
• Expert-level experience with the Spark framework, Hive-based technologies, and broader Big Data development tools and platforms.
• 5+ years of hands-on programming experience in Java, Scala, or Python, with the ability to quickly develop clean, production-quality prototypes and core application components.
• Practical experience applying Generative AI and Large Language Models in data engineering, including leading initiatives that leverage GenAI to improve team productivity and operational efficiency.
• Strong working knowledge of SQL, NoSQL, graph databases, and RESTful APIs.
• Demonstrated success leading large-scale, end-to-end projects that deliver measurable business impact, from initial concept through production delivery.
• Strong understanding of algorithms, data structures, and core computer science fundamentals.
• Practical experience with data modeling for both relational and non-relational database systems.
• Experience collaborating with data scientists and machine learning teams, with the ability to discuss major machine learning paradigms, algorithms, and common software tools.
• Hands-on experience designing, building, and managing reliable data pipelines that move data across systems using tools such as Apache Airflow.
• Proficiency with version control systems such as Git, along with experience implementing CI/CD pipelines for automated testing, deployment, and release management.
• Demonstrated leadership behaviors, including a positive mindset, quick learning ability, collaboration, courage in leadership, and strong customer obsession.
• Experience in mentoring junior engineers and providing technical leadership.
• Experience in refining code plans for architecture and sharing learnings with the team.
• Experience in driving security assessment processes to ensure code quality.
• Experience in collaborating with cross-functional teams to deliver solutions.
• Ability to manage multiple, competing priorities effectively in a fast-paced, dynamic environment.
• Experience supporting data quality, data lineage, data governance, compliance, and security requirements within data engineering environments.
• Information for US Applicants
• Work Hours
• Varies upon the needs of the department.
• Travel Requirements
• This position requires travel 5-10% of the time.
• Mental/Physical Requirements
• This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.
• Visa is an EEO Employer