Job Description
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Company Overview
A technology consulting and digital transformation organization that helps businesses develop scalable technology solutions, modernize data capabilities, and support critical business initiatives. Its teams work across data engineering, architecture, modeling, and digital transformation to deliver reliable enterprise solutions.
Responsibilities
- Manage data engineering projects throughout the full development and delivery lifecycle.
- Identify and support business initiatives from a data engineering perspective.
- Design, build, test, and maintain highly scalable data management systems.
- Develop, implement, automate, and maintain large-scale enterprise ETL processes.
- Build high-performance algorithms, prototypes, predictive models, and proof-of-concepts.
- Evaluate and maintain data solutions to ensure they meet business requirements and established engineering practices.
- Collaborate with data architects, data modelers, and IT team members to define and deliver project objectives.
- Support operational data workflows and ensure reliable delivery of data engineering solutions.
Internal Responsibilities
- Participate in regular internal practice community meetings.
- Collaborate with the data engineering practice team on industry thought leadership initiatives.
- Contribute to client case studies and learning materials, including blogs and media content.
- Develop materials supporting digital transformation initiatives.
- Participate in internal networking events, both in person and virtually.
- Collaborate with leadership on professional development and career advancement opportunities.
Required Qualifications and Skills
- 8+ years of professional experience in data engineering or a related technical field.
- Strong proficiency in Python.
- Hands-on experience with data engineering and ETL processes.
- Experience supporting operational data work and workflows.
- Experience designing, developing, testing, and maintaining scalable data solutions.
- Ability to work independently with minimal direction while collaborating effectively within a team.
- Strong written, verbal, and presentation communication skills.
- Strong PC skills, including experience with Microsoft SharePoint.
- Ability to collaborate effectively with data architects, data modelers, and IT teams.
- Bachelor’s degree in Computer Science, Computer Engineering, or a related technical field.
Preferred Qualifications and Skills
- Experience establishing and executing model evaluation processes.
- Experience running and evaluating model measurement pipelines.
- Previous experience working at a large technology company is a plus.
- Process certification such as Six Sigma, CBPP, BPM, ISO 20000, ITIL, or CMMI is a plus.
Benefits
- Comprehensive medical benefits.
- 401(k) plan.
- Paid holidays.
- Additional benefits may be available based on employment terms.
Disclaimer
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