Data Engineer

Indianapolis, IN, US • Posted 2 days ago • Updated 12 minutes ago
Full Time
Part Time
On-site
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Art
  • ELT
  • Management
  • Data Quality
  • Scalability
  • Collaboration
  • Data Security
  • Workflow
  • Computer Science
  • Python
  • Java
  • Scala
  • SQL
  • Database
  • Extract
  • Transform
  • Load
  • Apache Airflow
  • Talend
  • Data Warehouse
  • Modeling
  • Big Data
  • Apache Hadoop
  • Apache Spark
  • Amazon Web Services
  • Microsoft Azure
  • Google Cloud Platform
  • Google Cloud
  • Conflict Resolution
  • Problem Solving
  • Analytical Skill
  • Streaming
  • Apache Kafka
  • Apache Flink
  • DevOps
  • Continuous Integration
  • Continuous Delivery
  • Docker
  • Kubernetes
  • Business Intelligence
  • Microsoft Power BI
  • Tableau
  • Cloud Computing
  • Data Engineering

Summary

W2 Candidates Only

Key Responsibilities

  • Design, build, and maintain robust data pipelines (ETL/ELT processes)

  • Develop and manage data architectures, databases, and data warehouses

  • Integrate data from multiple sources (APIs, databases, streaming systems)

  • Ensure data quality, integrity, and consistency across systems

  • Optimize data workflows for performance and scalability

  • Collaborate with Data Analysts, Data Scientists, and business teams

  • Implement data security and governance best practices

  • Monitor and troubleshoot data pipeline issues

  • Automate data processes and workflows


Required Skills & Qualifications

  • Bachelor s degree in Computer Science, IT, Engineering, or related field

  • Strong programming skills in Python, Java, or Scala

  • Proficiency in SQL and database systems

  • Experience with data pipeline tools (e.g., Apache Airflow, Talend)

  • Knowledge of data warehousing concepts and modeling

  • Familiarity with big data technologies (e.g., Hadoop, Spark)

  • Understanding of cloud platforms (AWS, Azure, or Google Cloud)

  • Strong problem-solving and analytical skills


Preferred Qualifications

  • Experience with streaming tools (e.g., Kafka, Flink)

  • Knowledge of DevOps practices and CI/CD pipelines

  • Experience with containerization (Docker, Kubernetes)

  • Familiarity with BI tools (Power BI, Tableau)

  • Certification in cloud or data engineering technologies


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: 90737436
  • Position Id: OOJ - 8188-7192-1774037077
  • Posted 2 days ago
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