Data Engineer III

OP is a technology consulting and solutions company that helps clients harness the power of technology for maximum impact. The Data Engineer III will develop, evaluate, test, and maintain data architectures and solutions, collaborating with teams to design and build extensive data sets that drive innovation and growth.

Responsibilities:

• Work with the Survey Data and the Marketing Data Science team, translating their needs into tangible analytical solutions to improve marketing efficacy by providing impactful insights through streamlined and automated reporting
• Design and develop data models, pipelines, dashboards, and other analytic solutions to support the Marketing programs and campaigns
• Solve data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, and query techniques, sourcing from structured and unstructured data sources
• Collaborate with engineers, data scientists, and marketers to understand data needs, representing key data insights in a meaningful way
• Conceptualize data architecture for large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems
• Implement the security model based on privacy requirements, confirm safeguards are followed, and address data quality issues
• Participate in OP monthly team meetings and participate in team-building efforts
• Contribute to OP technical discussions, peer reviews, etc
• Contribute content and collaborate via the OP-Wiki/Knowledge Base
• Provide status reports to OP Account Management as requested

Requirements:

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent
• Minimum 5 years of experience where the primary responsibility involves working with data. This could include roles such as data analyst, data scientist, data engineer, or similar positions
• More than 5 years of experience with SQL, ETL, data modeling, data visualization, and at least one programming language (Python is preferred)
• Experience working in Marketing Analytics or Marketing Technology is preferred