Senior Data Engineer

We are seeking a highly skilled Senior Data Engineer to support a large-scale transformation initiative focused on modernizing the Management Platform. This role will be instrumental in designing, building, and enhancing data solutions that support critical business operations and revenue optimization efforts. The project is a long-term strategic investment and requires engineers who can operate effectively in a fast-paced environment while partnering closely with architects, developers, and business stakeholders.

The Data Engineering team is responsible for development and sustainment projects, ad-hoc requests, prototyping, and research initiatives by providing data pipeline and data engineering services. You will work with business, science, and technology teams to understand scope and requirements, business needs, and data from across the company in order to design and deliver the data pipelines necessary for our solutions. You will have tasks to design, develop, enhance, and implement systems for advanced analytic data solutions. This includes data aggregation and manipulation to make the data usable by science models, visualizations, and applications. You will be expected to leverage GenAI tools to be efficient in your work, and you will be delivering AI-based solutions. You will also support the exploration and integration of GenAI tools and techniques into data engineering processes to enhance automation and analytical capabilities. Other activities could include planning, estimating, design, development, testing, production rollout, and sustainment activities. In addition to technical capabilities, the role is responsible for developing an understanding of the business domain and processes, then applying that knowledge to the assigned deliverables.

Responsibilities of the Role:
Work assignments may cover activities such as participation in data requirements gathering, source-to-target mapping, data validation scripting and review, developing and monitoring ETL/ELT data pipelines, and producing datasets as input to science models and visualizations. As part of a data engineering team, this role will be included in technical reviews of the team to ensure quality deliverables.
In addition to technical capabilities, the role is responsible for developing an understanding of the business domain and processes, then applying that knowledge to the assigned deliverables. This role communicates data engineering progress to the project leadership team and actively participates in meetings and discussions.

• Design, develop, and maintain scalable data pipelines and integrations.
• Build and support cloud-based data solutions using modern data engineering technologies.
• Collaborate with technical leads, architects, and business stakeholders to gather requirements and translate them into technical solutions.
• Develop APIs and data services that support enterprise applications and analytics initiatives.
• Contribute to data architecture, data modeling, and platform modernization efforts.
• Leverage AI-enabled development tools and practices to improve engineering productivity and solution quality.
• Participate in technical design reviews, code reviews, and best practice development.
• Support delivery of strategic initiatives through hands-on engineering and solution implementation.
• Work closely with project teams to ensure timely delivery of capabilities aligned with business objectives.

• Extensive experience in Data Engineering, Data Integration, or related disciplines.
• Strong experience developing cloud-based data solutions.

• 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.

• 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.