Data Engineer

New York, NY, US • Posted 8 hours ago • Updated 3 hours ago
Full Time
On-site
$112000.0000 - $134991.0000/yr
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Apache Spark
  • PySpark
  • SQL
  • Databricks

Summary

Title: Data Engineer


Salary:$112-$135K


Location - Denver or New York


Responsibilities:



  • Data Engineering & Backend Development Design, develop, test, and deploy backend services and data pipelines processing terabytes of data

  • Support core advertising and ACR systems through scalable, reliable engineering solutions Build and maintain ETL workflows and platform services across the data ecosystem

  • Platform Tooling & Governance Build internal tooling that supports data governance, data quality, and compliance initiatives

  • Help maintain standards and controls across critical data assets Contribute to platform improvements that make large-scale data systems more reliable and manageable

  • System Ownership & Troubleshooting Build understanding across multiple complex pipelines and platform projects

  • Troubleshoot and resolve bugs in distributed systems and large-scale processing workflows

  • Define technical enhancements, scope deliverables, and provide estimates for smaller features

  • Cross-Functional Collaboration Work closely with product managers, data scientists, and engineering teams in the US and India

  • Communicate technical concepts clearly to both technical and non-technical stakeholders

  • Support planning and development efforts across multiple components of the data platform


Must Haves:



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



  • 1-2 years of relevant professional software development experience



  • Strong proficiency in data structures and algorithms



  • Solid understanding of operating systems, computer networks, and DBMS Strong problem-solving and analytical skills



  • Clear written and verbal communication Ability to collaborate effectively across time zones.



  • Experience with Apache Spark (PySpark or Scala-Spark)



  • Hands-on experience with Databricks and Apache Airflow Experience building and scaling ETL processes


Plusses:



  • Familiarity with AWS, or Azure Understanding of distributed systems concepts and low-level design


This is a direct hire opportunity. The selected candidate will be employed directly by our client. All compensation and benefits, including but not limited to medical insurance, retirement plans, paid time off, and other perks, will be provided by the client in accordance with their internal policies and subject to applicable laws and eligibility requirements.

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: 91127026
  • Position Id: 33116
  • Posted 8 hours ago
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