Senior Big Data Engineer

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

Bechtel Corporation is seeking talented and ambitious senior big data engineer to join our Big Data and A.I. Center of Excellence (BDAC) team. BDAC designs, develops, and deploys industry-leading data science and big data engineering solutions, using Artificial Intelligence (AI), Machine Learning (ML), and big data platforms and technologies, to increase efficiency in the complex work processes, enable and empower data-driven decision making, planning, and execution throughout the lifecycle of projects, and improve outcomes to Bechtel organization and its customers

Who you are:

• You yearn to be part of groundbreaking projects that work to deliver world-class solutions on schedule
• Someone who is motivated to find opportunity in and develop solutions for evolving challenges, is passionate about their craft, and driven to deliver exceptional results
• You love to learn new technologies and guide junior engineers to raise the bar on your team
• You are imaginative and engaged about intuitive user interfaces, as well as new/emerging concepts and techniques

Job Responsibilities:

• Big data design and analysis, data modeling, development, deployment, and operations of big data pipelines
• Collaborate with a team of other data engineers, data scientists, and business subject matter experts to process data and prepare data sources
• Mentor other data engineers to develop a world class data engineering team
• Ingest, Process, and Model data from many heterogenous data sources to support Data Science projects

Qualifications:

• Bachelor’s degree or higher in Computer Science, or equivalent degree and 6+ years working experience
• In depth experience with a big data cloud platform such as AWS or Azure.
• Strong grasp of programming languages (Python, Scala, or equivalent) and a willingness to learn new ones
• Experience writing database-heavy services or APIs
• Experience building and optimizing data pipelines, architectures, and data sets
• Working knowledge of queueing, stream processing, and highly scalable data stores
• Experience working with and supporting cross-functional teams
• Strong understanding of structuring code for testability
• Professional experience implementing complex ML architectures in popular frameworks such as Tensorflow, Keras, PyTorch, Sci-kit Learn, and CNTK
• Professional experience implementing and maintaining MLOps pipelines in MLflow or AzureML