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Big Data Engineer

$30–$80/h

Remote

Role overview

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.


Key Responsibilities:

  1. Design, build, and maintain scalable big data pipelines and architectures to support robust data solutions.
  2. Collaborate with cross-functional teams to understand and deliver on data requirements and business objectives.
  3. Implement data integration, transformation, and processing solutions using Python and relevant big data technologies.
  4. Develop, manage, and optimize distributed databases and storage systems for efficiency and reliability.
  5. Monitor, troubleshoot, and enhance data systems to ensure high availability and performance.
  6. Enforce data quality, security, and governance standards across all solutions.
  7. Document solutions and communicate complex technical concepts effectively, both in writing and verbally.


Required Skills and Qualifications:

  1. Proven expertise in big data engineering with hands-on experience building and maintaining large-scale data pipelines.
  2. Advanced proficiency in Python for data processing, automation, and integration.
  3. Deep understanding of relational and NoSQL databases, including optimization and management techniques.
  4. Experience with distributed data processing frameworks (e.g., Hadoop, Spark, Flink).
  5. Strong foundation in data modeling, ETL processes, and data warehousing principles.
  6. Excellent written and verbal communication skills, with the ability to convey technical ideas clearly to both technical and non-technical stakeholders.
  7. Detail-oriented, proactive, and self-motivated, thriving in remote and autonomous work environments.


Preferred Qualifications:

  1. Prior experience in fast-paced or startup-like environments supporting global teams.
  2. Expertise with cloud-based big data platforms (e.g., AWS, GCP, Azure).
  3. Familiarity with machine learning operations and data science workflows is a plus.

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Sporterer
Future of work · September 2026

How big is the remote / hybrid opportunity?

Remote work is already huge — but the bigger story may be the hundreds of millions of jobs that could still move beyond geography.

Sporterer Insights · Approximate figures based on World Bank and ILO estimates
Global remote and hybrid work opportunity infographic

Remote work already connects millions of people with companies they would never have been able to work for a decade ago. But compared with the size of the global labour market, it may still be early.

The interesting number is not only how many people work remotely today — it is how many roles could plausibly become remote or hybrid next.

The chart above starts with roughly 3.3 billion people employed worldwide. Around 300 million jobs are already remote or hybrid, while an additional pool of roughly 250 million roles could potentially move in that direction as technology, workflows and company culture continue to change.

Skills are becoming more portable

This matters because more work can increasingly be matched to expertise rather than location. AI training and evaluation are a good example: companies need lawyers, engineers, designers, editors, researchers, finance professionals and many other specialists to help improve AI systems.

For workers, that creates access to projects outside their local market. For companies, it expands the talent pool from one city or country to the world.

Explore remote opportunities →