Senior Data Engineer

Remote • Posted 4 hours ago • Updated 4 hours ago
Contract Independent
Contract W2
No Travel Required
Remote
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Amazon Kinesis
  • Amazon Redshift
  • Apache Kafka
  • Business Process
  • Amazon Web Services
  • Cloud Computing
  • Data Engineering
  • Artificial Intelligence
  • Conflict Resolution
  • Continuous Delivery
  • Continuous Integration
  • Data Governance
  • Data Integration
  • Data Processing
  • Data Warehouse
  • Databricks
  • Electronic Data Interchange
  • ELT
  • Extract, Transform, Load
  • Finance
  • HIPAA
  • HL7
  • Master Data Management
  • Microsoft Azure
  • Migration
  • Modeling
  • Ontologies
  • Privacy
  • Problem Solving
  • Procurement
  • PySpark
  • Python
  • Real-time
  • SAP
  • Semantics
  • Snow Flake Schema
  • Streaming
  • Supply Chain Management
  • System Integration
  • System On A Chip
  • XBRL
  • Swift

Summary

Senior Data Engineer – Migration & Consolidation

Experience Required: 7+ Years

Location: Remote (United States)

More Than 20+ Openings

Travel: Up to 40% travel to client locations may be required

Required Skills

  • 7+ years of experience in Data Engineering, System Integration, or Data Migration
  • Strong experience with Python and SQL
  • Hands-on experience with PySpark and modern data processing frameworks
  • Experience working with ETL/ELT and data integration tools
  • Strong experience building scalable and maintainable data pipelines
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform
  • Experience with modern data warehouse and lakehouse platforms such as Snowflake, Databricks, BigQuery, Redshift, Synapse, or Delta Lake
  • Experience integrating enterprise systems such as SAP and Oracle
  • Knowledge of semantic modeling, knowledge graphs, or ontology frameworks
  • Exposure to AI-driven tooling or LLM-based solutions in data workflows
  • Strong problem-solving skills and ability to work on complex enterprise data environments
  • Experience collaborating with technical teams and enterprise stakeholders

Preferred Skills

  • Experience with real-time streaming platforms such as Kafka, Kinesis, Event Hubs, or Pub/Sub
  • Experience working with enterprise Master Data Management platforms
  • Knowledge of CI/CD pipelines and infrastructure-as-code tools
  • Experience building APIs and microservices
  • Understanding of data governance, data privacy, and regulatory frameworks such as GDPR, HIPAA, SOC2, or CCPA
  • Familiarity with data observability, catalog, and lineage platforms
  • Knowledge of enterprise business processes such as financial operations, supply chain, procurement, or revenue workflows
  • Knowledge of industry standards such as EDI, HL7, FHIR, SWIFT, and XBRL
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91125331
  • Position Id: 8907437
  • Posted 4 hours ago
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