Data Engineer V

Responsibilities

We seek a highly skilled and experienced Senior Data Engineer to design and develop data pipelines, dashboards, and analytic solutions supporting marketing programs and campaigns. The ideal candidate will have a strong background in data engineering, extensive experience with Python and Spark, and a passion for leveraging data to drive marketing success. Key Responsibilities:

• Design, develop, and maintain scalable data pipelines to process large datasets efficiently.
• Create impactful dashboards and visualization solutions using tools like Tableau to support marketing decision-making.
• Collaborate with data scientists and marketing teams to implement machine learning infrastructure that enhances marketing campaigns.
• Ensure the quality and integrity of data processes and visualizations by implementing best practices and standards.
• Identify opportunities for optimizing existing data workflows and recommend innovative solutions to improve performance.
• Support cross-functional teams in understanding and utilizing data analytics for audience development and delivery use cases.
• Mentor junior data engineers and contribute to continuously improving our data engineering practices.
  
  

Qualifications:

• Minimum of 10 years of experience in data engineering, specifically designing and building scalable batch processing pipelines.
• Experience in data warehousing, batch data processing, and dashboard development for producing insightful analytics for the business.
• Proficiency in the data engineering ecosystem, including Python, Unidash, Apache Spark, Presto, Tableau, Apache Airflow, and Looker for dashboarding.
• Background in marketing analytics or technology.
• Experience in setting up experiments and applying data-driven methodologies to support decision-making.
• Familiarity with both data engineering and software engineering principles.
• Knowledge of Machine Learning is highly preferred.
  
  

Benefits:

• 401(k).
• Dental Insurance.
• Health insurance.
• Vision insurance.
• We are an equal-opportunity employer and value diversity, equality, inclusion, and respect for people.
• The salary will be determined based on several factors including, but not limited to, location, relevant education, qualifications, experience, technical skills, and business needs.
  
  

Additional Responsibilities:

• 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.
  
  

About us: OP is a technology consulting and solutions company, offering advisory and managed services, innovative platforms, and staffing solutions across a wide range of fields - including AI, cyber security, enterprise architecture, and beyond. Our most valuable asset is our people: dynamic, creative thinkers, who are passionate about doing quality work. As a member of the OP team, you will have access to industry-leading consulting practices, strategies & and technologies, innovative training & education. An ideal OP team member is a technology leader with a proven track record of technical excellence and a strong focus on process and methodology.