Data Engineer

 San Antonio, TX

job summary:

Minimum Required Education, Experience & Skills

  • Clear understanding of quality principles as it pertains to optimal performance, impact, and user experience
  • Effective communicator with all levels of management
  • Excellent analytical and problem solving capabilities with particular attention to accuracy and detail
  • Ability to effectively prioritize and multi-task in high-volume workload situations
  • Advanced knowledge of T-SQL and development of high-performing queries
  • 0+ years of SQL development and usage
  • 5+ years of experience building SQL Server Integration Services (SSIS) packages)
  • 5+ years of experience using Python, Hive and/or Pig
  • Experience with Microsoft Azure
  • Experience working in Hadoop/Spark environments to include HDFS, YARN, and PySpark familiarity
  • Experience with Unix/Linux administration - user management, system and service configuration, task automation, security management, etc.
  • Bachelor's Degree in Computer Science, Data Analytics, Software Engineering, Mathematics, or similar discipline

Preferred Education, Experience & Skills

  • Experience with healthcare data, specifically medical claims, pharmacy claims, lab claims, supplemental healthcare data
  • Experience in a Medicare Advantage (MA) environment
  • Master's Degree or higher education in one of the above disciplines
  • Experience with R, C#, and/or Java
  • PySpark and Jupyter notebook experience
  • Knowledge of Tableau, PowerBI, and/or SSRS
  • Knowledge of predictive modeling techniques, including regression (linear and logarithmic), classification methods, clustering, neural network development, etc.
  • Experience using supervised and unsupervised learning methods to derive practical analytic insights

Physical & Mental Requirements:

  • Ability to lift up to 25 pounds
  • Ability to sit for extended periods of time
  • Ability to use fine motor skills to operate office equipment and/or machinery
  • Ability to receive and comprehend instructions verbally and/or in writing
  • Ability to use logical reasoning for simple and complex problem solving

location: San Antonio, Texas

job type: Contract

salary: $47.00 - 58.75 per hour

work hours: 8am to 5pm

education: No Degree Required


Essential Job Functions

  • Define and build enterprise-wide standard big data models
  • Serve as lead data modeler for all data science activities across a spectrum of business units
  • Create hierarchies, aggregations, partitions, etc. in efforts to develop an efficient data landscape
  • Assist in development of data pipelines from on-prem systems to both on-prem systems and cloud-based repositories
  • Assist in development of cloud-based data lake for data science use
  • Support operation and maintenance activities for various software applications that require clear data structures
  • Leverage data science techniques to optimize data flow and resource utilization
  • Collaborate with relevant stakeholders, both internal to IT and business users to achieve business outcomes
  • Develop and implement scripts to maintain, monitor, and complete performance testing of data models
  • Create and document functional and technical specifications
  • Engineer solutions to reduce waste across IT systems
  • Maintain Hadoop/Spark clusters for data science usage, including data transfer, load, refresh, troubleshooting, resource management, and library/framework installation and configuration
  • Assist in development and implementation of periodic architectural changes as necessitated by the business case


  • Experience level: Experienced
  • Minimum 5 years of experience
  • Education: No Degree Required


  • T-SQL
  • SQL Server Integration Service
  • Python
  • Microsoft Azure
  • Hadoop

For certain assignments, Covid-19 vaccination and/or testing may be required by Randstad's client or applicable federal mandate, subject to approved medical or religious accommodations. Carefully review the job posting for details on vaccine/testing requirements or ask your Randstad representative for more information.

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.