6 big data engineer jobs at 4 companies in Eighty Four, PA
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Big Data Engineer
Pittsburgh or Cleveland or Dallas
$100k-$130k/yrHybridFull Time
EXLNASDAQ: EXLS: Provides data analytics and digital operations solutions to businesses.
7+ YOERequires 7–10 years of data engineering experience, strong Python and Apache Spark skills, Hadoop ecosystem expertise, CA7 or Control-M experience, SQL knowledge, and technical leadership and mentoring experience.
PNC Financial ServicesNYSE: PNC: Provides banking, lending, and investment services to customers.
2+ YOEBachelor's degree and 2+ years experience or equivalent, strong Python and big-data engineering skills, experience with MLOps, large-scale data pipelines, production support, and troubleshooting.
EXLNASDAQ: EXLS: Provides data analytics and digital operations solutions to businesses.
5+ YOE5+ years enterprise web application development and production support experience; strong SQL/SSRS/SSIS, .NET/C#/ReactJS, cloud, big data, and healthcare payer analytics knowledge.
.NET framework 4.0/4.5, C#.NET, ASP.NET, MVC, Web Service, IIS, HTML, CSS, XML, SOAP, JQuery, Ajax, ReactJS, NHibernate, Entity framework, SQL Server 2016, SQL Server Reporting Services (SSRS), SQL Server Integration Services (SSIS), Tortoise HG, SVN, Azure, AWS, Python, PySpark, DTKBarcode, Esker, Biscom, WebStart, 3M, Tableau, APM Tools (Application Performance Management), Microsoft Power BI, Microsoft Excel, CRM Systems
New York City or Milwaukee or Dallas or Columbus or Kirkland or Cincinnati or Cleveland or Oklahoma City or Austin or Albany or Chicago or St. Petersburg or Hartford or Pittsburgh or St. Louis or Miami or Sacramento or Raleigh or Minneapolis or Mountain View or Scottsdale or San Francisco or Morristown or Denver or Boston or Philadelphia or Des Moines or Overland Park or Los Angeles or Charlotte or Walnut Creek or Carmel or Seattle or Houston or Arlington or Atlanta or Redmond or Bentonville or Beaverton or Nashville or Detroit or San Diego
$80k-$294k/yrHybridFull Time
AccentureNYSE: ACN: Global provider of management consulting and technology services.
6+ YOEBachelor's degree or equivalent experience, 6+ years developing and deploying AI/ML solutions, programming proficiency, experience with ML frameworks, big data, databases, and cloud platforms.
Python, R, Java, TensorFlow, PyTorch, Hadoop, Spark, AWS, Microsoft Azure, Google Cloud, D3.js, ggplot
CGINYSE: GIB: Provides information technology and business consulting services.
5+ YOE5+ years in big data development with hands-on Kafka, Spark, Hadoop, Impala, strong Java/Scala/Python skills, SQL proficiency, and experience in Agile teams.
CGINYSE: GIB: Provides information technology and business consulting services.
8+ YOE8+ years QA experience, lead QA initiatives, strong Python and PySpark skills, big data and Hadoop testing experience, Oracle/SQL validation, Unix/Linux scripting, Jenkins/Git CI/CD, Docker/OpenShift experience.