Sr. Data Engineer

New York, NY, US • Posted 6 hours ago • Updated 2 hours ago
Contract W2
On-site
$80 - $90 per hour
Fitment

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Job Details

Skills

  • Sr. Data Engineer

Summary






A media services company in New York City is seeking a Senior Data Engineer to support the design, development, and maintenance of scalable data platforms, ETL pipelines, and cloud-based data solutions across a high-volume streaming and analytics environment.


About the Opportunity:



  • Assignment Length: 6+ month opportunity

  • Schedule: Monday to Friday

  • Hours: Standard business

  • Setting: Hybrid (at least 4 days a week onsite)


Responsibilities:



  • Design, develop, and maintain scalable data pipelines and data systems with a focus on reliability, performance, and usability

  • Build and support ETL processes to ingest, process, and store large volumes of data from internal and external sources

  • Collaborate with business stakeholders to define requirements, KPIs, and acceptance criteria

  • Work with structured and unstructured data from relational, non-relational, and cloud-based data platforms

  • Support data quality initiatives including cleansing, transformation, and feature engineering processes

  • Partner with Data Science, Software Engineering, and Architecture teams to deliver real-time and batch data solutions

  • Maintain CI/CD pipelines, source control processes, and automated testing standards

  • Participate in architecture reviews, design discussions, and knowledge-sharing sessions

  • Monitor platform performance, identify issues, and implement solutions to improve reliability and scalability

  • Perform other duties, as needed


Qualifications:



  • 5+ years of Data Engineering experience

  • Bachelor's degree in Computer Science, Information Technology, or a related field

  • Strong experience with ETL development, data pipelines, and large-scale data processing

  • Advanced SQL skills

  • Experience building scalable, distributed, and highly available data systems

  • Experience with cloud data platforms such as Snowflake, Databricks, AWS, or Google Cloud Platform

  • Experience with source control repositories, CI/CD pipelines, and automated testing

  • Familiarity with Agile methodologies including Scrum and Kanban

  • Strong communication and collaboration skills


Desired Skills:



  • Experience with Snowflake or similar cloud data platforms

  • Experience with data visualization tools and reporting solutions

  • Experience working with multi-billion-record datasets

  • Knowledge of enterprise digital analytics platforms

  • Understanding of Site Reliability Engineering (SRE) practices

  • Experience supporting Data Science and Analytics teams

  • Exposure to CDN technologies or streaming media environments

  • Collaborative mindset with a strong willingness to learn new tools and 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: EXECUSCH
  • Position Id: CR511821-952
  • Posted 6 hours ago
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