Senior Data Engineer Job at Software Resources (New York)

Senior Data Engineer

Software Resources

Location:
United States , New York

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

90.00 - 93.00 USD / Hour

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Job Description:

Our Streaming is the leading premium streaming service offering live and on-demand TV and movies, with and without commercials, both in and outside the home. Operating at the intersection of entertainment and technology, our Streaming has a unique opportunity to be the number one choice for TV. We captivate and connect viewers with the stories they love, and we’re looking for people who are passionate about redefining TV through innovation, unconventional thinking, and embracing fun. Join us and see what this is all about. The Product Performance Data Solutions team for the Data organization within our streaming team, a segment under the Media & Entertainment Distribution is in search of a Senior Data Engineer. As a member of the Product Performance team, you will work on building foundational datasets from clickstream and quality of service telemetry data – enabling dozens of engineering and analytical teams to unlock the power of data to drive key business decisions and provide engineering, analytics, and operational teams the critical information necessary to scale the largest streaming service. The Product Performance Data Solutions team is seeking to grow their team of world-class Data Engineers that share their charisma and enthusiasm for making a positive impact.

Job Responsibility:

Contribute to maintaining, updating, and expanding existing data pipelines in Python / Spark while maintaining strict uptime SLAs
Architect, design, and code shared libraries in Scala and Python that abstract complex business logic to allow consistent functionality across all data pipelines
Collaborate with product managers, architects, and other engineers to drive the success of the Product Performance Data and key business stakeholders
Contribute to developing and documenting both internal and external standards for pipeline configurations, naming conventions, partitioning strategies, and more
Ensure high operational efficiency and quality of datasets to ensure our solutions meet SLAs and project reliability and accuracy to all our partners (Engineering, Data Science, Operations, and Analytics teams)
Be an active participant and advocate of agile/scrum ceremonies to collaborate and improve processes for our team
Engage with and understand our customers, forming relationships that allow us to understand and prioritize both innovative new offerings and incremental platform improvements
Maintain detailed documentation of your work and changes to support data quality and data governance requirements

Requirements:

At least 5 years of data engineering experience developing large data pipelines
Strong algorithmic problem-solving expertise
Strong fundamental Python programming skills
Basic understanding of AWS or other cloud provider resources (S3)
Strong SQL skills and ability to create queries to analyze complex datasets
Hands-on production environment experience with distributed processing systems such as Spark
Hands-on production experience with data pipeline orchestration systems such as Airflow for creating and maintaining data pipelines
Some scripting language experience
Willingness and ability to learn and pick up new skills
Self-starting problem solver with an eye for detail and excellent analytical and communication skills
Bachelor’s Degree + 5 years of relevant experience

Nice to have:

Candidates with Click stream, user browse data are highly preferred

What we offer:

medical, dental, and vision coverage
a 401(k) with company match
short-term disability
life insurance with AD&D

Additional Information:

Job Posted:
January 01, 2026

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