Senior Software Engineer, Data

Employer Industry: Media and Community Platform

Why consider this job opportunity:

Competitive salary and benefits package, including equity plans and flexible time off

Opportunity for career advancement and growth within the organization

Remote work flexibility with optional in-person attendance in New York or San Francisco

Collaborative and supportive work environment focused on data quality and system reliability

Chance to work on impactful projects that empower creators and enhance user experience

What to Expect (Job Responsibilities):

Design, build, and maintain data pipelines for various use cases, including ingestion of raw data and building core datasets

Develop scalable data models to support product features, internal analytics, and machine learning workloads

Implement batch and streaming pipelines using technologies like Spark, Python, and Airflow

Collaborate with cross-functional teams to address ambiguous questions and deliver high-impact data solutions

Mentor junior team members and improve automation while adhering to best practices in data modeling and reliability

What is Required (Qualifications):

Minimum of 4 years of experience in software development, with at least 2 years in building scalable data pipelines

Familiarity with SQL and distributed data processing tools such as Spark or Kafka

Strong programming skills in Python or a similar language, with knowledge of software engineering principles

Understanding of data modeling and metric design principles

Bachelors degree in Computer Science, Computer Engineering, or a related field, or equivalent experience

How to Stand Out (Preferred Qualifications):

Experience with modern data lakes and data warehouses

Excellent collaboration and communication skills, particularly with non-technical stakeholders

Passion for data quality and system reliability

Ability to thrive in a collaborative, fast-paced environment

Experience in mentoring and guiding peers in data engineering practices

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