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Sr. Data Engineer

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Onsite

Sr. Data Engineer

Tandym Group

Sr. Data Engineer

Skills

Google Cloud PlatformSQL QueriesData EngineeringData ScienceData VisualizationSnowflakeDatabricksGitData AnalysisAWSKanban

1 month ago

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Important information


Contract type:

Permanent

Location:

New York, NY, USA

Work mode:

Onsite

Published on:

24 September 2026

What they need


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 GCP
  • 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

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