Principal Data Engineer (Remote) at 8th ...

8th ...

RemoteStaffContractCanada, CAai

We benchmark our salaries using Geographic Structures to establish competitive pay ranges within the regions where 8th Lights live. Our pay ranges for our Principal Engineer position within our four US structures are as follows: Reach out to [redacted] for more relevant information about your local market. th Light Hubs and Geographies As a remote-first company, 8th Light's culture is rooted in strong connections that extend across our teams, regions, and beyond client work. We are a distributed

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Skills in this role

AI fundamentals

Courses relevant to this posting

Relevance is based on skills and concepts — not a guarantee that you qualify.

Data Pipeline Design for Machine Learning Systems
Covered skills:AI fundamentals
Skills to close:None listed

Build the skills for this job

Coming-soon courses matched to this posting — outline, waitlist, and skill path.

Course DNA for this role

Data Pipeline Design for Machine Learning Systems

7 chapters · 33 lessons

1. Data Acquisition Strategy and Source Evaluation
5 lessons
Learn to identify, evaluate, and prioritize data sources based on quality, coverage, cost, and legal constraints.
2. Cleaning Workflows and Quality Control
5 lessons
Build automated pipelines to detect and remove noise, duplicates, malformed content, and low-value material.
3. Provenance Tracking and Metadata Management
4 lessons
Implement systems to track data lineage, source attribution, and transformation history across pipelines.
4. Privacy, Security, and Sensitive Data Handling
5 lessons
Detect and protect personally identifiable information, proprietary content, and regulated data in ML pipelines.
5. Evaluation Set Hygiene and Contamination Prevention
4 lessons
Design processes to prevent test data leakage and ensure evaluation metrics reflect true model capability.
6. Governance Frameworks and Policy Design
5 lessons
Establish organizational policies for data usage, retention, licensing, and ethical review.
7. Diagnosing and Debugging Data Quality Issues
5 lessons
Learn systematic approaches to identify data problems that cause model failures, bias, or performance degradation.

Want the full course when it launches? Join the waitlist and we will notify you.

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Skills in this role

Courses relevant to this posting

Build the skills for this job

Data Pipeline Design for Machine Learning Systems

1. Data Acquisition Strategy and Source Evaluation

2. Cleaning Workflows and Quality Control

3. Provenance Tracking and Metadata Management

4. Privacy, Security, and Sensitive Data Handling

5. Evaluation Set Hygiene and Contamination Prevention

6. Governance Frameworks and Policy Design

7. Diagnosing and Debugging Data Quality Issues

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