Senior Data Engineer

Bechtel

(Reston, Virginia)
Full Time
Job Posting Details
About Bechtel
Bechtel is among the most respected engineering, project management, and construction companies in the world. We stand apart for our ability to get the job done right no matter how big, how complex, or how remote. Bechtel operates through four global business units that specialize in infrastructure; mining and metals; nuclear, security and environmental; and oil, gas, and chemicals.
Summary
Bechtel Corporation is seeking talented Data Engineers for its highly anticipated Data & Analytics Center of Excellence (COE). The Data & Analytics COE will be housed within the company’s Information Systems & Technology division and will play a vital role in enhancing the user experience and enabling optimal decisions to be made across the organization that will transform and drastically increase our company performance. If you are passionate about big data analytics and are willing to embrace the challenge of dealing with several petabytes of data on a daily basis, we want to hear from you. We have the technology and the resources to collect, manage and visualize large sets of data. We need you to use our multiple platforms to turn this information into valuable insights and help us to predict the likelihood of safety incidents in our jobsites, analyze productivity trends, better manage construction indirect cost, among many other challenges.
Responsibilities
- Collaborate with a team of other data engineers, data scientists, and business subject matter experts to process data and prepare data sources - Ingest data from many data sources - Model data to support Data Science Projects - Work closely with Enterprise Data Architects to implement the essential designed approaches.
Ideal Candidate
- Bachelor’s degree in Computer Science, Human-Computer Interaction (HCI), Cognitive Science or other closely related disciplines with emphasis on Data Analytics. - 6+ years of programming proficiency in a subset of Python, R, Java, and Scala - 4+ years of experience analyzing data with SQL and implementing large-scale RDBMS - 3+ years of experience implementing systems in Amazon Web Services (AWS) and cloud-based systems - 3+ years’ proficiency in configuring and deploying Linux-based systems - 4+ years of experience implementing data pipelines in large-scale data analysis systems such as Hadoop or MPP databases - 6+ years of experience in data flow and systems integration - Experience with Power BI or similar Analytics Program

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