Healthcare Data Engineer Consultant

posted on August 20, 2018

Job Description

Location: Durham, NC

Duration: 6 Months

Job Profile Summary:

  • The Data Engineer will work closely with senior engineers, data scientists and other stakeholders to design and maintain moderate to advanced data models.
  • The Data Engineer is responsible for developing and supporting advanced reports that provide accurate and timely data for internal and external clients.
  • The Data Engineer will design and grow a data infrastructure that powers our ability to make timely and data-driven decisions.
  • Extract data from multiple sources, integrate disparate data into a common data model, and integrate data into a target database, application, or file using efficient programming processes
  • Document, and test moderate data systems that bring together data from disparate sources, making it available to data scientists, and other users using scripting and/or programming languages
  • Write and refine code to ensure performance and reliability of data extraction and processing
  • Participate in requirements gathering sessions with business and technical staff to distill technical requirement from business requests
  • Develop SQL queries to extract data for analysis and model construction
  • Own delivery of moderately sized data engineering projects
  • Define and implement integrated data models, allowing integration of data from multiple sources
  • Design and develop scalable, efficient data pipeline processes to handle data ingestion, cleansing, transformation, integration, and validation required to provide access to prepared data sets to analysts and data scientists
  • Ensure performance and reliability of data processes
  • Define and implement data stores based on system requirements and consumer requirements
  • Document and test data processes including performance of through data validation and verification
  • Collaborate with cross functional team to resolve data quality and operational issues and ensure timely delivery of products
  • Develop and implement scripts for database and data process maintenance, monitoring, and performance tuning
  • Analyze and evaluate databases in order to identify and recommend improvements and optimization
  • Design eye-catching visualizations to convey information to users

Hiring Requirements:

  • Bachelor’s degree in Computer Science or related field or equivalent experience
  • 3 years of SQL programming skills (Intermediate to Advance SQL programming skills)
  • 3 years programming experience in Python, R or other programming language
  • Demonstrated experience working with large and complex data sets
  • Experience with business intelligence tools (Tableau)

Hiring Preferences:

  • Experience with Hadoop, Hive and/or other Big Data technologies
  • Experience with ETL or Data Pipeline tools
  • Experience with query and process optimization
  • Experience working in AWS and/or using Linux based systems
  • Ability to translate task/business requirements into written technical requirements
  • Reliable task estimation skills
  • Excellent quantitative, problem solving and analytic skills
  • Ability to document data pipeline architecture and design
  • Ability to collaborate effectively with business stakeholders, performance consultants, data scientists, and other data engineers
  • Proficient in use of MS Office applications including expert level Excel programming
  • Ability to quickly become an expert in operational processes and data of lines of business
  • Ability to troubleshoot and document findings and recommendations
  • Ability to communicate risks, problems, and updates to leadership
  • Ability to keep up with a rapidly evolving technology space

Required Skills:

  • Database building and design experience
  • Basic linux/shell scripting experience
  • Experience with ER (entity relationship) tools
  • Experience with Intermediate/Advanced ETL techniques

Good to Have But, Not Required Skills:

  • Experience with AWS, Hadoop, Alteryx, Tableau
  • Experience with Master Dataset Management
  • Experience with data warehousing

 

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