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Data Engineer - W2 Position - Need Local to Indiana

Warsaw, IN, US • Posted 6 hours ago • Updated 6 hours ago

Contract W2

Travel Required

On-site

$50 - $60/hr

Fitment

Dice Job Match Score™

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Job Details

Skills

Amazon Web Services
Collaboration
Data Engineering
Data Quality
Data Warehouse
Design Patterns
Extract
Transform
Load
Finance
Good Clinical Practice
Google Cloud Platform
High Availability
ELT
Management
Microsoft Azure
Product Engineering
Product Requirements
Product Scoping
Quality Improvement
Regulatory Compliance
Root Cause Analysis
Sales
Snow Flake Schema
Sprint
Supply Chain Management
Sustainability
Data Engineer
Product

Summary

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

Job Details:
Mandatory Skills:
Strong understanding of Data as a Product mindset
Ability to convert business outcomes into data product requirements
Defining and managing Data product scope/Data contracts
Domain knowledge (e.g., Finance, Sales, Supply Chain, Customer, Risk)
Expert in ETL / ELT design patterns
Hands on experience with Azure / AWS / Google Cloud Platform
Hands on experience with Data Warehouses (Snowflake/Azure Synapse)
Data Product Engineering Ownership
Lead the design, build, and maintenance of domain owned data products
Translate product requirements into scalable data engineering solutions
Ensure data products meet defined:
o Functional requirements
o SLAs / SLOs
o Quality and compliance standards

Collaboration with Data Product Owner
Partner closely with the Data Product Owner to:
o Understand business outcomes and priorities
o Refine data product scope and roadmap
o Balance delivery speed with technical sustainability
Provide technical input for backlog prioritization and sprint planning

Data Pipeline & Transformation Design
Design and implement ETL/ELT pipelines for data products
Support:
o Batch and near real time processing
o Structured and semi structured data
Manage schema evolution and backward compatibility
Implement data contracts for product consumers

Data Quality, Reliability & Trust
Define and enforce data quality rules for data products
Implement:
o Validation checks
o Reconciliation logic
o Data freshness monitoring
Ensure high availability and fault tolerance
Lead root cause analysis for data incidents
Drive continuous quality improvement

Phone:

E-mail:

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: 8959015
Posted 6 hours ago

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