Lead Data Engineer/Architect - W2 Position

Warsaw, IN, US • Posted 1 hour ago • Updated 1 hour ago
Contract W2
Travel Required
On-site
$50 - $60/hr
Fitment

Dice Job Match Score™

⏳ Almost there, hang tight...

Job Details

Skills

  • Data Architecture
  • Data Engineering
  • Data Processing
  • Data Quality
  • Data Warehouse
  • DevOps
  • Amazon Web Services
  • Change Data Capture
  • Continuous Delivery
  • Continuous Integration
  • Amazon Redshift
  • Dimensional Modeling
  • Enterprise Architecture
  • Extract
  • Transform
  • Load
  • Good Clinical Practice
  • Google Cloud Platform
  • Java
  • Management
  • Microsoft Azure
  • Operational Excellence
  • Orchestration
  • Performance Tuning
  • Python
  • Real-time
  • Regulatory Compliance
  • Root Cause Analysis
  • Scala
  • Snow Flake Schema
  • Software Design
  • Streaming
  • Testing
  • ELT
  • Lead Data Engineer
  • Data Engineer

Summary

Role - Lead Data Engineer
Location - Warsaw, IN (Onsite - 100%)


Job Details:
Mandatory Skills:
Advanced expertise in ETL / ELT pipeline design
Handling:
o Batch data processing
o Near real time / streaming data
Experience with structured and semi structured data
Strong knowledge of:
o Incremental loading
o CDC (Change Data Capture)
Pipeline orchestration and dependency management
Strong programming skills in Python or Scala or Java (nice to have)
Performance optimization for large scale data processing
Solid understanding of:
o Dimensional modeling (Star / Snowflake)
o Normalized and denormalized models
Strong experience on: Azure, AWS, or Google Cloud Platform
Hands on with Data Warehouses (Snowflake, Synapse, BigQuery, Redshift) Data Architecture & Solution Design
Design end to end data engineering architectures
Define scalable solutions for:
o Data lakes / lakehouse
o Data warehouses
o Streaming and real time systems
Ensure alignment with enterprise architecture, security, and compliance standards
Review and approve technical designs

Data Pipeline Development & Management
Lead development of ETL / ELT pipelines
Handle:
o Batch and real time ingestion
o Structured and semi structured data
Optimize pipelines for performance, reliability, and cost
Manage schema evolution and data dependencies

Data Quality, Reliability & Operations
Establish data quality standards and validation rules
Implement monitoring, alerting, and observability
Perform root cause analysis for data incidents
Drive operational excellence and stability

DevOps / DataOps Enablement
Build CI/CD pipelines for data workloads
Automate testing, deployment, and rollback
Improve reliability through automation

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: 90557102
  • Position Id: 8962952
  • Posted 1 hour ago
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