What are the responsibilities and job description for the Sr. Data Engineer position at Tandym Tech?
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
Salary : $80 - $90