Involgix
Involgix

Data Engineer

Dallas, TX, US • Posted 1 day ago • Updated 22 hours ago
Contract W2
No Travel Required
On-site
$60 - $65/hr
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Artificial Intelligence
  • Cloud Computing
  • Collaboration
  • Continuous Delivery
  • Continuous Integration
  • Data Engineering
  • Data Governance
  • Data Integration
  • Data Quality
  • Databricks
  • DevOps
  • Environment Management
  • Google Cloud
  • GitHub
  • Google Cloud Platform
  • Machine Learning (ML)
  • Modeling
  • PySpark
  • Python
  • Orchestration
  • SQL
  • Terraform

Summary

Role: Sr. Data Engineer

Location: Dallas, TX (Onsite role)

Duration: 12+ Months

Need to attend In person Interview 

Need Only W2 candidates

Job Description: 

As a Senior Data Engineer, you will build and optimize scalable data pipelines and models that power critical business insights. You’ll leverage cloud technologies, automation, and modern data engineering practices to transform complex datasets into reliable, highquality assets.

What you''ll do:

  • Design and build scalable data pipelines and models using Databricks, PySpark, and SQL.
  • Integrate and transform data from multiple sources with strong quality, observability, and governance.
  • Orchestrate and automate workflows using Airflow and CI/CD pipelines in GitHub Actions.
  • Develop and maintain infrastructure using Terraform and support DevOps tasks such as deployments, monitoring, and environment management.
  • Optimize pipelines for reliability, performance, and cost across cloud environments.
  • Collaborate with Product, Data Science, and Engineering teams to deliver reliable, scalable, and efficient data solutions.

What you''ll bring:

  • Extensive experience in data engineering, including scalable pipeline development, data integration, and modeling.
  • Strong proficiency in SQL, Python, PySpark, Databricks, and workflow orchestration with Airflow.
  • Solid understanding of cloud platforms, especially Google Cloud Platform.
  • Hands on experience with CI/CD using GitHub Actions and infrastructure automation with Terraform.
  • Strong grounding in data governance, data quality, and compliance best practices.
  • Ability to design resilient data architectures across warehouses, lakes, and streaming systems.
  • Proven skill in translating complex business needs into effective data solutions.
  • Familiarity with machine learning concepts and how they integrate with data engineering workflows.
  • A passion for finding ways to integrate AI and LLMs into daily engineering
    activities and products, while not compromising simplicity and code
    maintainability.

 

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: 10519030
  • Position Id: 8933495
  • Posted 1 day ago
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