Data Engineer (Spring, TX, US, 77389)

About us At ExxonMobil, our vision is to lead in energy innovations that advance modern living while reducing emissions. As one of the world’s largest publicly traded energy and chemical companies, we are powered by a unique and diverse workforce fueled by the pride in what we do and what we stand for. The success of our Upstream, Product Solutions and Low Carbon Solutions businesses is the result of the talent, curiosity and drive of our people. They bring solutions every day to optimize our strategy in energy, chemicals, lubricants and lower-emissions technologies. We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet society’s evolving needs. Learn more about our What and our Why and how we can work together . About Houston ExxonMobil's state-of-the-art campus north of Houston serves as home to its Upstream, Product Solutions and Low Carbon Solutions businesses and their associated service groups. The facility opened in 2014 and accommodates more than 10,000 employees and visitors. By bringing many global functional groups together, the campus provides employees with the tools and capabilities needed today, and in the future, to achieve business objectives and accelerate the discovery of new resources, technologies and products. It was designed to foster improved collaboration, creativity and innovation and enhance the company’s ability to attract, develop and retain the top talent in the industry. The campus is located in Spring, Texas, on 385 wooded acres immediately to the west of Interstate Highway 45 (I-45), at the intersection of I-45 and the Hardy Toll Road, approximately 25 miles from the cultural vibrancy of downtown Houston. The campus was constructed to the highest standards of energy efficiency and environmental stewardship. Its design incorporates extensive research into best practices in building and workplace design through extensive benchmarking of the world’s top academic, research, and corporate facilities. Learn more about what we do in Houston here . What role you will play on our team This data engineer position will report to the Data Solutions group within the Development Strategy Team. The team is responsible for Unconventional wide data, automation & integration efforts, and data engineering. Areas of focus will include research and development of data pipelines, analytics, data visualization, automation, data processing, and data management, concentrating on developing sustainable products/platforms. This role will report to the Spring, TX campus. What you will do Design, develop, and institute automated workflows utilizing various technologies (Python, GIS, SQL, Spotfire, Alteryx, MS Power Platform and more) to minimize human error, standardize data, and apply data management best practices with a focus on data integrity and governance Develop and optimize existing and new expansion of the systems in place Design, develop, test, document, deploy, monitor, and support data pipelines Design and develop analytical dashboards using Business Intelligence tools such as Spotfire and Databricks, as well as web-based frameworks including Shiny and React. Work with domain experts, data scientists, engineers to understand needs, constraints, and limitations Develop ETL processes and maintain application integrations across multiple systems and data sources Prepare technical data for interpretation, conduct analyses and routine computer processing of the data, and help create final displays of the results often for formal presentations Willingness to learn, experiment, try new things, fail, and grow! About you Skills and Qualifications Bachelor's in Data Science, Statistics, Applied Mathematics, Computer Science, Engineering, Geoscience, Analytics. Must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products. Driven by the prospect of optimizing or even re-designing company’s data architecture to support the next generation of products and data initiatives Functional in SQL with experience in querying relational databases, views, and normalized schemas Functional in programming (Python-preferred) with skills in algorithms, clean code, environment management Understanding and utilization of enterprise ETL tools; ex: Alteryx, Azure Synapse, Azure Data Factory Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement. Build processes supporting data transformation, data structures, metadata, dependency, and workload management. A successful history of manipulating, processing, and extracting value from large, disconnected datasets. Strong project management and organizational skills. Experience supporting and working with cross-functional teams in a dynamic environment. Ability to identify opportunities for improvement / automation and development of existing workflows and p