Senior Data Engineer/Remote/PySpark
Los Angeles, Los Angeles County, California, 90079, USA
Listed on 2026-01-16
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Software Development
Data Engineer, Machine Learning/ ML Engineer, AI Engineer
A well‑known data aggregation company is seeking a Senior Data Engineer to join their engineering team on. The company builds large‑scale platforms that ingest, normalize, and connect data from thousands of sources, powering analytics, machine learning, and customer‑facing products. The role is heavily focused on PySpark, AWS EMR, distributed data processing, API development, and data systems that support modern ML and LLM‑driven workflows.
This is a chance to work on high‑impact data systems at serious scale. The team is looking for a senior engineer who enjoys tackling messy data problems, shaping architecture, and collaborating closely with ML and product teams. The #1 draw of this role is ownership. You’ll have real influence over pipeline design, data quality, and how aggregated data is used across SEO, search, and customer interaction use cases.
Engineers here grow by ورو solving non‑trivial problems, learning modern MLOps practices, and working in a balanced, low‑meeting environment that values deep focus.
- 7+ years of professional experience in data engineering
- 5+ years of hands‑on experience with PySpark in production
- Strong experience running distributed workloads on AWS EMR
- Experience building and maintaining data pipelines at scale
- Exposure to MLOps workflows (model training, deployment, or monitoring)
- Experience developing and supporting APIs
- Strong wicked understanding of distributed systems and data modeling
- Experience in data aggregation, enrichment, or entity‑level data systems
- Familiarity with LLMs for SEO optimization or customer interaction use cases
- Experience working with large‑scale consumer or web data
- Exposure to workflow orchestration tools (Airflow or similar)
- Experience supporting ML or search‑related platforms
- 60% PySpark / Spark on AWS EMR
- 20% API development and backend services
- 20% ML / LLM data support and MLOps collaboration
- 75% Hands On
- 5% Management Duties
- 20% Team Collaboration
Competitive salary and bonus eligibility
You will receive the following benefits:
- Medical, Dental, and Vision Insurance
- Vacation Time
- Stock Options
Applicants must be currently authorized to work in the US on a full‑time basis now and in the future.
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