Senior Data Engineer

Columbus, OH, US • Posted 2 days ago • Updated 5 minutes ago
Contract W2
On-site
DOE
Fitment

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Job Details

Skills

  • Cloud Computing
  • Analytics
  • Business Intelligence
  • Physical Data Model
  • Database Design
  • Extract
  • Transform
  • Load
  • Gap Analysis
  • Data Architecture
  • Management
  • Version Control
  • Data Integration
  • Data Quality
  • Collaboration
  • Data Engineering
  • SQL
  • Snow Flake Schema
  • ADF
  • Python
  • Data Processing
  • Data Modeling
  • Star Schema
  • Continuous Integration
  • Continuous Delivery
  • Microsoft Azure
  • DevOps
  • MPP
  • Conflict Resolution
  • Problem Solving
  • Analytical Skill
  • PaaS
  • SaaS
  • Artificial Intelligence

Summary

Job Summary The Senior Data Engineer will be responsible for designing, building, and optimizing enterprise data solutions across cloud and on-premises environments. This role focuses on developing scalable data pipelines, supporting analytics and business intelligence initiatives, and driving modern data architecture using platforms such as Azure and Snowflake. Key Responsibilities Design and implement data engineering solutions across cloud and on-prem environments Develop and maintain scalable data pipelines for analytics, BI, and data integration Provide logical and physical data modeling and database design Support end-to-end data pipeline development including design, development, deployment, and maintenance Perform gap analysis and contribute to defining future-state data architecture Manage source control, code versioning, and deployment processes across teams Troubleshoot and resolve complex data integration and data quality issues Collaborate with data scientists, architects, and enterprise teams to define requirements and solutions Apply best practices and standards for data engineering and development Required Qualifications Bachelors degree or equivalent experience 8+ years of relevant experience in data engineering or related fields Strong hands-on experience with SQL and Snowflake Experience working with Azure services such as ADLS, ADF, and Azure Functions Experience building data pipelines using DBT Proficiency in Python for data processing and automation Experience with data modeling techniques including relational, star schema, data vault, and document models Experience with CI/CD tools, preferably Azure DevOps Experience with modern data platforms and MPP architectures Strong problem-solving and analytical skills Preferred Qualifications Experience with data modernization initiatives using PaaS/SaaS solutions Experience leveraging AI tools for development and automation Experience working in fast-paced, dynamic environments Ability to adapt quickly to changing requirements and priorities Education: Bachelors Degree
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: compun
  • Position Id: TIWDC5779395
  • Posted 2 days ago
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