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# Data Engineer

- **Company:** Tandym Tech
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Amazon Web Services, Automation of Tests, Big Data, Information Engineering, Extract Transform Load (ETL), Data Systems, Data Visualization, Reliability Engineering, Cloud Services, Software Engineering, Unstructured Data, Google Cloud, Cloud Platform System, Feature Engineering, Sql Optimization, Snowflake, Information Technology, Tools for Reporting, Software Version Control, Data Pipelines, Databricks
- **Published:** September 21, 2026
- **Apply:** https://www.dice.com/job-detail/062d063d-40c2-4785-8662-0dfbbdc55663

## About the Role

* 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

## Description

* 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