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Position Details: Data Engineer

Location: Portland, OR
Openings: 1
Job Number:

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Description:

Data Engineer

We are eager to attract the best, so we offer competitive compensation and a generous benefits package, including full health insurance (medical, dental and vision), 401(k), life insurance, disability and the opportunity to participate in a company incentive plan.
 
What you’ll do on a typical day:
•    Develop Business Intelligence (BI) and data solutions focused on data engineering and analytics using Python, Machine Learning, RDBMS, R, SQL, Data Modeling, Java, Unix Scripting, AWS and Azure services, MicroStrategy, Power BI and MPP databases
•    Troubleshoot technical issues in existing processes and current development work, solicit assistance from other roles and groups, and drive resolution to ensure the integrity of platform quality and project timelines
•    Understand and improve shared standard patterns, templates and artifacts for BI and data warehouse platform architecture, data science development approaches, data models and new technology adoption and rollout
•    Assist others using the data lake, data warehouse, and related systems to build analytical applications, visualizations, queries and dashboards; tools include SQL, MicroStrategy, Power BI, Python, R and Jupyter notebooks
•    Proactively generalize and share technical approaches and best practices among other developers, and simplify and communicate completed work to broader audiences across the company
•    Help support data consumers to ensure they have reliable access to trusted data; periodic responsibility for 24/7 on-call production support

What you need to succeed at XPO:
At a minimum, you’ll need:
•    Bachelor’s degree in Computer Science, MIS, Engineering or related field
•    3 years of experience in data engineering and analytics
It’d be great if you also have:
•    Data Science specialization from Coursera, Udacity, Data Camp, etc.; R, Python certifications
•    Certified Business Intelligence Professional from TDWI and Data Management Professional from DAMA
•    Certifications in data modeling and data engineering
•    4 years of experience in data engineering and analytics, and in delivering solutions in at least two of the following: data science, data modeling, data integration, data analysis, AWS, big data, SQL, R, Python and machine learning
•    Understanding of core principles of data warehousing, data science and machine learning
•    Ability to work with MPP databases like Netezza, Redshift or Teradata; write SQL fluently, recognize and correct inefficient or error-prone SQL, and perform test-driven validation of SQL queries and their results
•    Knowledge of data pipeline concepts such as Pentaho, SSIS, Informatica, Data Stage etc; data analytics and visualization using R and Python (Numpy, Pandas, Scipy, Scikit-learn, Tensorflow and Keras)
•    Knowledge in cloud solutions (preferably with Amazon suite of products)
•    Ability to read and understand logical data models and physical data models

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