Data Engineer III | Contract

Philadelphia, PA 19019

Posted: 06/20/2022 Job Category: Information Technology (IT) Job Number: 5398

Job Description


Data Engineer III

WalkerHealthcareIT is seeking a Data Engineer III  for our client located in Philadelphia, PA. This is a contract opportunity.

START DATE: 07/04/2022

END DATE: 10/8/22

ONSITE/REMOTE: On Site


WAGE TYPE: W2

Data Engineer III-JOB SUMMARY

The Data Engineer III  will be responsible for expanding and optimizing our data warehouse and building data integrations, developing data best practices and governance, performing clinical and administrative reporting and data visualization, as well as optimizing data flow and collection for cross functional teams. Build processes supporting data transformation, data structures, metadata, dependency and workload management. Make recommendations about platform adoption, including technology integrations, application servers, libraries, and frameworks. Participate in a shared production on-call support model. Be a critical part of an Agile Scrum software development team, ensuring the team successfully meets its deliverables each sprint. Serve as a mentor for Data Engineer I and II.

Data Engineer III-JOB RESPONSIBILITIES:
  • Data Modeling – evaluate structured and unstructured data, determine the most appropriate schema for new fact tables, data marts, etc
  • Data Integration – incorporate new business and system data into the Data Warehouse while maintaining enterprise best practices and adhering to data governance standards
  • ETL – apply business rules to our data as we migrate from source to target using Informatica or scripting language. Validate data to ensure quality.
  • Reporting – collaborate with colleagues across the enterprise to scope requests. Extract data from various data sources, validate results, create relevant data visualizations, and share with requester. Develop dashboards and automate refreshes as appropriate.
  • Governance / Best Practices – adhere and contribute to enterprise data governance standards. Also educates and supports colleagues in best practices to ensure that data is used appropriately.
  • Product Ownership – collaborate and act as the voice of the customer to offer concrete feedback and project requests as well as an advocate for analytics from within the business units themselves
  • Assemble large, complex data sets that meet functional / non-functional business requirements
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources (including ground, hybrid cloud, and cloud) using SQL and various programming technologies
  • Develop analytics tools that utilize data resources to provide actionable insights, operational efficiency and other key business performance metrics
  • Work with stakeholders including the Executive, Clinical, and Analyst teams to assist with data-related technical issues and support their data infrastructure needs
  • Develop optimized tools for analytics and data scientist team members that assist them in building and optimizing projects into an innovative industry leader
  • Proficient at integrating predictive and prescriptive models into applications and processes

Data Engineer III-REQUIRED QUALIFICATIONS
  • Must be familiar with Informatica and Informatica Cloud
  • Must know data ware housing/modeling/architecture
  • Must be proficient in SQL
  • Minimum of ten (10) years of experience in a Data Engineer role
  • Minimum of six (6) years of Data Engineering/Business Intelligence/Data Warehousing experience, preferably in a healthcare environment
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
  • Experience supporting and working with cross-functional teams in a dynamic environment
  • Working knowledge of message queuing, stream processing, and highly scalable data stores
  • Previous experience manipulating, processing and extracting value from large disconnected datasets
Data Engineer III-REQUIRED EXPERIENCE:
  • Minimum of six (6) years of Data Engineering/Business Intelligence/Data Warehousing experience, preferably in a healthcare environment
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
  • Experience supporting and working with cross-functional teams in a dynamic environment
  • Working knowledge of message queuing, stream processing, and highly scalable data stores
  • Previous experience manipulating, processing and extracting value from large disconnected datasets
Data Engineer III-REQUIRED CERTIFICATIONS & LICENSES:
  • Two (2) Certifications or proficiency in appropriate Data Science/Data Integration/Data Warehousing technology or subject domain
  • AWS Certification a plus, but not required
  • Amazon Web Services (AWS Certification a plus, but not required)
  • Strong knowledge of Networks, Load Balancing, Firewall Rules, Certificates to work with Network Engineering
Data Engineer III-PREFERRED EXPERIENCE:
  • Minimum of ten (10) years of experience in a Data Engineer role
Data Engineer III-PREFERRED EDUCATION:
  • Advanced Degree in Computer Science, Informatics, Information Systems or another quantitative field
Data Engineer III ADDITIONAL SKILLS:
  • Strong analytic skills related to working with structured and unstructured datasets
  • Must possess critical thinking and creative problem solving skills along with the ability to communicate well with stakeholders throughout the organization
  • Strong communication, project management and organizational skills
  • Highly proficient in SQL
  • Familiarity with electronic health record and financial systems. i.e. Epic Systems, Cerner, WorkDay, Infor, Strata etc.
  • Experience with:
    • Big data tools: Hadoop, Spark, Kafka, BigSQL, Hive, etc.
    • Relational SQL and NoSQL databases, including IBM PDA (Netezza), MS SQL Server and HBase
    • Data integration tools: Informatica, MS Integration Services, Sqoop, etc.
    • Cloud vendors and services: AWS, Google, Microsoft, IBM
    • Stream-processing systems: IBM Streams, Flume, Storm, Spark-Streaming, etc.
    • Consuming and building APIs
    • Object-oriented/object function programming languages: Python, Java, C++, Scala, etc.
    • Statistical data analysis tools: R, SAS, SPSS, etc.
    • Visual analytics tools: QlikView, Tableau, Power BI etc.
    • Utilizing Agile methodology for development

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