Senior Data Engineer, Data Products

Raya

full-time

Posted on: 1/9/2026

Location Type: Remote

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About the role

Architect complex, high-volume data pipelines for production use.
Design and implement scalable data models serving multiple product and internal teams.
Own data quality frameworks and standards across key data products.
Build reusable patterns for transformations and metrics to drive efficiency.
Define and maintain core business metrics and Key Performance Indicators (KPIs) in partnership with Analytics.
Own the data products used across the company, ensuring reliability and performance.
Set and promote standards for data modeling and pipeline development.
Partner closely with Analytics, Data Science, and Machine Learning teams on requirements to reduce friction and accelerate their work.
Mentor engineers and actively participate in the hiring process.

5+ years of experience in data engineering with a proven track record of successful data architecture and pipeline creation.
Expertise in handling large-scale data systems and cloud platforms (preferably AWS).
Proficient in Python and SQL. Scala and MongoDB are a plus
Strong experience with data pipeline and workflow management tools like Apache Airflow, Luigi, or Prefect.
In-depth knowledge of real-time data processing frameworks such as Kinesis, Kafka, Flink, or Spark Streaming. Experience with Segment is a plus.
Experience with data modeling tools and ETL frameworks, with a strong emphasis on performance optimization.
Excellent communication and collaboration skills to work effectively across teams.

Tip: use these terms in your resume and cover letter to boost ATS matches.

data engineeringdata architecturedata pipeline creationPythonSQLScalaMongoDBdata modelingETL frameworksreal-time data processing

communicationcollaborationmentoring