10 data migration engineer jobs at 9 companies in Avondale, PA
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AWS Data Migration Engineer
Philadelphia, Pennsylvania, United States
OnsiteFull Time
Algonomy: AI-powered algorithmic customer engagement platform for retailers.
8+ YOE8+ years software development; experience with Big Data technologies; Scala, PySpark, Python; data pipeline migration, automation, and monitoring; AWS services and Databricks.
Chicago or Milwaukee or Dallas or Columbus or Kirkland or Cincinnati or New York City or Cleveland or Oklahoma City or Austin or Albany or St. Petersburg or Hartford or Pittsburgh or St. Louis or Miami or Sacramento or Raleigh or Minneapolis or Mountain View or Scottsdale or Morristown or San Francisco or Denver or Boston or Philadelphia or Des Moines or Overland Park or Los Angeles or Charlotte or Seattle or Houston or Arlington or Atlanta or Redmond or Bentonville or Beaverton or Nashville or Detroit or San Diego
$87k-$266k/yrOnsiteFull Time
AccentureNYSE: ACN: Global provider of management consulting and technology services.
5+ YOERequires 5+ years of CygNet expertise, 2+ years integrating PI/AVEVA data and leading live cutovers, plus a bachelor's degree or equivalent experience. Ignition, Kafka, .NET, Python/Jython, SQL, and industrial security are valued.
Merck & Co.NYSE: MRK: Produces prescription medicines, vaccines, and animal health products.
10+ YOE10+ years in data architecture/platform engineering leadership in biopharma; B.S./M.S. in related field; hands-on GenAI, cloud-native architecture, DataOps, data quality, and migration experience.
LangChain, Azure OpenAI, AWS Bedrock, Google Vertex AI, LlamaIndex, Pinecone, Weaviate, pgvector, Microsoft Azure Batch Artificial Intelligence (AI)
TranscatNASDAQ: TRNS: Provides accredited calibration services and measurement equipment distribution.
1+ YOEAssociate degree preferred, 1+ years CMMS experience, experience with SAP or Hexagon, Microsoft Excel proficiency, BI knowledge preferred, ability to perform field verification and data migration, up to 25% travel.
Essent GroupNYSE: ESNT: Provides private mortgage insurance, reinsurance, and title insurance services.
5+ YOE5+ years Power BI and advanced SQL experience (Amazon Redshift), bachelor\u0002s degree or equivalent, experience with Cognos migrations, strong communication and documentation skills.
Power BI, DAX, Power Query (M), Amazon Redshift, IBM Cognos Analytics, AWS QuickSight, Git, Azure DevOps, GitHub, Microsoft Office, SQL
FiservNew York Stock Exchange: FI: Provides financial technology and payment processing services to institutions.
5+ YOE5+ years Golang and Postgres experience, 5+ years with databases and data migration, PL/PgSQL and query optimization, experience operating Postgres in cloud, Bachelor’s in CS/engineering or equivalent.
Techximius: Provides specialized IT and engineering services for defense missions.
4+ YOEProven experience with C#, .NET, VB.NET, ASP.NET, JavaScript, SQL; ECM and large-scale data/document migrations; API integrations; SQL Server/Oracle; Bachelor\u0002s degree; able to obtain DoD clearance; 4+ years experience.
Senior Database Engineering Specialist, Cloud Migration and Platform Resiliency
Wayne, Pennsylvania, United States
HybridFull Time
Vanguard: Provides mutual funds, ETFs, and investment management services.
5+ YOE5+ years DBA/data modeling or related experience; expertise with cloud-based relational and non-relational databases; undergraduate degree or equivalent.
SAPFrankfurt Stock Exchange: SAP: Sells enterprise resource planning and business management software solutions.
4+ YOEDesign and advise on SAP-centric cloud architectures, lead solution design and data migration, collaborate with customers and partners; Bachelor's (plus 6 years) or Master's (plus 4 years) in CS/Engineering or related required.
Birmingham or Washington or Hyattsville or Kansas City or Philadelphia or Austin or Parkersburg
$106k-$158k/yrHybridFull Time
Bureau of the Fiscal Service: Manages federal government accounting, payments, and public debt.
1+ YOEExperience leading enterprise data engineering and cloud migration, building ETL pipelines with Python and Spark, establishing data architecture standards, and advising on data quality, metadata, and platform strategy.