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IT Data Engineer Specialist

  • PA, United States

Hybrid

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Job details

Workplace
Hybrid
Experience
6+ years of Data Engineering/Business Intelligence/Data Warehousing experience, preferably in a healthcare environment.
Posting language
English
Posted

Original job description

Could you be our next IT Data Engineer Specialist with Main Line Services? This is a hybrid role.

Why work as an IT Data Engineer Specialist with Main Line Health? · Make an Impact! The IT Data Engineer Specialist plays a key role in expanding and optimizing our data analytics platform, strengthening data integrations, and advancing best practices for data governance and management. This position supports clinical and administrative reporting, data visualization, and the efficient flow and collection of data across cross-functional teams. The ideal candidate brings experience working with large, complex data sets from multiple sources and enjoys designing, improving, and optimizing data systems. This role partners closely with analytics developers, database architects, data analysts, and data scientists to ensure reliable, scalable, and consistent data delivery across projects and initiatives. · Develop and Grow your Career! Invest in furthering your education through seeking certifications or advanced degrees by taking advantage of our Tuition Reimbursement! This position is eligible for up to $6,000 per year based upon your Full or Part Time status. · Join the Team! Like our patients, the Main Line Health Family encompasses a wide range of backgrounds and abilities. Just as each of our patients requires a personalized care plan, each of our employees, physicians, and volunteers, bring distinctive talents to Main Line Health. Regardless of our unique design, we all share a purpose: providing superior service and care. · Position-Specific Benefits include: You are eligible for up to 240 hours of paid time off per year based on your Full or Part Time status. We also offer a number of employee discounts to various activities, services, and vendors... And employee parking is always free!

Position: IT Data Engineer Specialist- Hybrid role- Occasional onsite requirement Shift: Day Shift – 8am-4:30pm

Experience:

6+ years of Data Engineering/Business Intelligence/Data Warehousing experience, preferably in a healthcare environment. Other Minimal Qualifications: ' Highly proficient in SQL' Experience with big data tools: Hadoop, Spark, Kafka, BigSQL, Hive, etc.' Experience with relational SQL and NoSQL databases, including Oracle, MS SQL Server, HBase, etc.' Experience with data integration tools: Informatica, MS Integration Services, Sqoop, etc.' Experience with cloud vendors and services: Microsoft, AWS, Google' Experience with open source stream-processing: Flume, Storm, Spark-Streaming, etc.' Experience consuming and building APIs' Experience with object-oriented/object function programming languages: Python, Java, C++, Scala, etc.' Experience with statistical data analysis tools: R, SAS, SPSS, etc.' Experience with visual analytics tools: Tableau, QlikView, Power BI etc.' Experience working in the Agile methodology for development' Familiarity with electronic health record and financial systems. i.e. Epic Systems, Cerner, Peoplesoft, Work Day, Infor, EPSi, Strata etc.

Education:

Bachelor's degree in technology, clinical or related field, masters preferred in related discipline.

Licenses and Certifications:

Current Epic certification(s) and/or appropriate certification as defined by your role (if applicable to your application (s) or must be willing to travel for training and achieve certification within 90 days of completed testing. All certifications must be actively maintained.

More about this job

Skills

  • Reporting
  • Data visualization
  • Data engineering
  • Data warehousing
  • SQL
  • Apache Hadoop
  • Apache Spark
  • Apache Kafka
  • Apache Hive
  • NoSQL
  • Oracle
  • Microsoft SQL Server
  • Apache HBase
  • Informatica
  • Apache Sqoop
  • AWS
  • Programming languages
  • Python
  • Oracle Java
  • C++
  • Scala
  • Data analysis
  • R
  • SAS
  • SPSS
  • Tableau
  • Qlik
  • Microsoft Power BI
  • Agile
  • Epic Systems
  • Cerner
  • Oracle PeopleSoft
  • EPIC

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