Big Data Engineer - Remote Contract
Listing checked September 15, 2026 · pay as published by Micro1
Overview
This contract role at micro1 puts you at the center of building data systems that feed next-generation AI models. You will create and maintain large-scale pipelines, work with Python, and handle both relational and NoSQL databases. The position is fully remote, so you will need to manage your own schedule and communicate well in writing. Your work directly shapes how AI models learn and reason from real-world data.
What You'll Do7
- 1Architect and sustain scalable big data pipelines and storage solutions.
- 2Partner with product and engineering teams to translate data needs into technical deliverables.
- 3Build data integration, transformation, and processing workflows using Python and big data tools.
- 4Set up and tune distributed databases and storage systems for reliability and speed.
- 5Watch over data systems, resolve issues, and improve performance to maintain high uptime.
- 6Apply data quality, security, and governance rules across all data solutions.
- 7Write clear documentation and explain technical concepts to both technical and non-technical audiences.
Requirements7
- 1Hands-on experience building and maintaining large-scale data pipelines in a big data engineering role.
- 2Strong Python skills for data processing, automation, and integration tasks.
- 3Solid grasp of relational and NoSQL databases, including optimization and management.
- 4Familiarity with distributed processing frameworks such as Hadoop, Spark, or Flink.
- 5Knowledge of data modeling, ETL processes, and data warehousing principles.
- 6Ability to communicate technical ideas clearly in writing and speech to varied stakeholders.
- 7Self-motivated and detail-oriented, with a track record of working well remotely and independently.
Who Should Apply
This role suits engineers with proven big data pipeline experience and advanced Python skills, especially those who have worked with distributed frameworks like Spark or Flink. Candidates who have supported global teams in startup-like settings and are comfortable with cloud platforms such as AWS, GCP, or Azure will stand out. It is less ideal for someone who needs close supervision or prefers a fixed office setting. A common reason candidates get rejected is lacking hands-on experience with large-scale data pipelines or failing to show clear communication skills in a remote context. Another pitfall is not demonstrating familiarity with both relational and NoSQL databases in past projects.
Salary Insight
The compensation for this contract role ranges from $30 to $80 per hour, based on the provided information. No additional benefits or salary details are specified.
Pay and demand for Data Engineering roles
AggregatedTypical pay
$75/hour
This role
$30–$80/hr
Most Data Engineering roles pay $54–$100 per hour. This role's pay falls inside that range.
Based on 557 similar roles that publish pay · 97 publish only a top rate; those count at the rate they gave
Rates shown per hour. Yearly and monthly pay converted; one-time fees and non-USD pay are not included.
- Live similar roles
- 636
- Listed in last 30 days
- 285
- Remote
- 97%
Hiring most right now: micro1 (285) · Mercor (81) · SME Careers (64)
Most requested skills · share of roles
- python17%
- technical writing9%
- llm evaluation7%
- ai evaluation6%
Figures from Data Engineering roles live on NearSkill when this page loaded. A role can close before you apply, so check the listing itself.
Compare your resume against these rolesLocation
Compensation
$30–80/hr
Required Skills
Application Tip
In your application, highlight specific projects where you built or maintained large-scale data pipelines, and mention the exact tools you used, such as Spark, Flink, or a particular NoSQL database. Quantify the scale of data you handled and the impact on performance or reliability to show your fit for this role.
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