Phillips 66 Senior Data Engineer in Houston, Texas
Phillips 66 & YOU - Together we can fuel the future
Phillips 66 has more than 140 years of experience in providing the energy that enables people to dream bigger and go farther, faster. We are committed to improving lives, and that is our promise to our employees and our communities. We are sustained by the backgrounds and experiences of our diverse teams, which reflect who we are, the environment we create and how we work together. Our company is built on values of safety, honor and commitment. We call our cultural mindset Our Energy in Action, which we define through four simple, intuitive behaviors: We work for the greater good, create an environment of trust, seek different perspectives and achieve excellence. Phillips 66 was recognized by Forbes as one of “America’s Best Employers” in 2021.
The Data Engineer will play a key role in contributing to the success of machine learning and artificial intelligence projects across the company, by partnering with respective business owners and leveraging data to identify areas of improvement & optimization. S/he will build deliverables like business process automation, equipment health monitoring tools, demand forecasting models, prescriptive energy optimization systems etc. that provide edge to business decision making and can scale with growth. The role sits in the sweet spot between technology and business worlds and provides opportunity for growth, high business impact and working with seasoned business leaders.
Responsibilities May Include
Creating systems for storing, extracting, transferring, loading, and modeling data to be used for both production systems and machine learning projects.
Implementing data engineering systems in Microsoft Azure, AWS, Hana, and other systems, including open source data science tools to meet the needs of our internal customers.
Building end-to-end solutions to solve high value business needs in a sustainable, innovative manner.
Engaging in constant process improvement, always looking for opportunities to increase efficiency and reduce failures.
Bachelor’s degree or higher in a computer related field, Computer Science, Engineering, Math, Statistics, or the physical sciences
5 or more years relevant work experience in software development
Advanced understanding of Azure analytics platform - Data Lake, Data Factory, Data Bricks, Cosmos DB, Event hub, Azure API, etc.
Able to understand the diverse business requirements and be able to translate those requirements into applicable solutions
Computer Science fundamentals in object-oriented design, data structures, algorithm design, problem solving, etc.
Proficiency in at least one modern programming language such as C#, Java Scala, or Python and technologies like SQL, NoSQL, Spark, etc.
Knowledge of data management fundamentals and data storage principles
Knowledge of distributed systems as it pertains to data storage and computing
Ability to travel up to 10%
7 or more years relevant work experience in software development
Knowledge of software engineering best practices for the full software development life cycle, including Agile methodologies, coding standards, code reviews, source control management, build processes, testing, and operations
Experience working with Microsoft Azure or AWS
Strong client focus and management of client expectations
Excellent oral and written communication skills
Excellent teamwork skills
Ability to present and explain technical information to diverse audiences
Ability to write clear proposals and technical documents
To be considered
In order to be considered for this position you must complete the entire application process, which includes answering all prescreening questions and providing your eSignature on or before the requisition closing date of November 18, 2021 .
Phillips 66 is an EEO and Affirmative Action Employer of Women/Minorities/Veterans/Individuals with Disabilities
Requisition ID: 54222
Location: Texas - Houston
Job Field: Information Technology
Division : Not Applicable
Technical Req : No