More jobs:
Big Data Engineer
Job in
Los Angeles, Los Angeles County, California, 90079, USA
Listed on 2026-09-30
Listing for:
Executive Staff Recruiters / ESR Healthcare
Full Time
position Listed on 2026-09-30
Job specializations:
-
Software Development
Data Engineering, Python
Job Description & How to Apply Below
Big Data Engineer
$30 - $80/hour
pay
Required Skills- big data
- Python
- databases
- data engineering
Job Title:
Big Data Engineer
Job Type: Contractor
Location:
Remote
Job Summary:
In this role, you'll apply your expertise to help train next‑generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input.
- Design, build, and maintain scalable big data pipelines and architectures to support robust data solutions.
- Collaborate with cross-functional teams to understand and deliver on data requirements and business objectives.
- Implement data integration, transformation, and processing solutions using Python and relevant big data technologies.
- Develop, manage, and optimize distributed databases and storage systems for efficiency and reliability.
- Monitor, troubleshoot, and enhance data systems to ensure high availability and performance.
- Enforce data quality, security, and governance standards across all solutions.
- Document solutions and communicate complex technical concepts effectively, both in writing and verbally.
Skills and Qualifications
- Proven expertise in big data engineering with hands‑on experience building and maintaining large‑scale data pipelines.
- Advanced proficiency in Python for data processing, automation, and integration.
- Deep understanding of relational and No
SQL databases, including optimization and management techniques. - Experience with distributed data processing frameworks (e.g., Hadoop, Spark, Flink).
- Strong foundation in data modeling, ETL processes, and data warehousing principles.
- Excellent written and verbal communication skills, with the ability to convey technical ideas clearly to both technical and non‑technical stakeholders.
- Detail‑oriented, proactive, and self‑motivated, thriving in remote and autonomous work environments.
- Prior experience in fast‑paced or startup‑like environments supporting global teams.
- Expertise with cloud‑based big data platforms (e.g., AWS, GCP, Azure).
- Familiarity with machine learning operations and data science workflows is a plus.
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