Butler/TillData Engineer
Apr. 2024Rochester, New York, United StatesThe Data Engineer is a hybrid role, combining the core competencies of data engineering with business intelligence techniques to support our client’s reporting needs with high agility. The role works closely with Information Analysts to plan and support the creation of reports, analysis, extracts, and data marts that feed directly into Power BI. This position concentrates on SQL, Python, and data processing within cloud environments (Snowflake, Azure, AWS), but also works to understand both Power BI and the marketing platforms that the source data derives from for Quality Assurance purposes. This role works to automate ad hoc processes, document ETL steps, and manage database schemas as well as works with senior colleagues to receive training, code reviews, and receive feedback to improve their deliverables. KEY OUTCOMES & RESPONSIBILITIES Key Outcome: IMPROVED ORGANIZATION & PRODUCTIVITY Effective data management fuels organization, productivity, and automation. Enabling internal consumers access to trusted data for running queries, developing strategic insights, and delivering standardized outputs. Adding value to our external customers and improving the bottom line. Key Responsibilities: Seeks direction from their Director and works with both internal and external stakeholders to capture requirements and document Butler/Till’s data frameworks. Writes scripts for the creation, support, and automation of standardized, scalable, and client specific data marts. Collaborates with other departments to create solutions to improve agency efficiency. Works closely with B/T’s Analysts, Media, and Account teams to understand our clients’ data needs and the standardization of campaign/ad naming conventions across clients. Maintains documentation on existing data policies, data dictionaries, metadata and ETL processes and assists with proof of concept (POC) designs for strategic initiatives.