Senior Data Engineer – Technical Interviewer

Senior Data Engineer – Technical Interviewer (Part-Time Contract)

Location: Remote – United States or Canada
Job Type: Part-Time Contract / Independent Contractor
Hours: 5–20 hours per week, depending on availability and business needs
Compensation: Contract-based compensation, discussed with qualified candidates

About the Opportunity

We are building a technology-focused talent assessment network that connects experienced engineering professionals with technical evaluation opportunities.

Our approach emphasizes practical engineering expertise, structured assessments, and meaningful feedback to help organizations evaluate technical talent. We collaborate with technology professionals and recruitment partners to support the technical evaluation and hiring process.

We are expanding our network of experienced engineers who can contribute their expertise on a flexible, part-time basis.

Position Overview

We are seeking an experienced Senior Data Engineer to conduct technical interviews and evaluate the skills of data engineering candidates.

This is a remote, part-time contract opportunity suited to experienced professionals with strong hands-on data engineering backgrounds, excellent communication skills, and the ability to assess technical knowledge objectively.

Key Responsibilities

• Conduct live technical interviews for mid-to-senior-level data engineering candidates.
• Evaluate candidates' knowledge of data architecture, data modeling, distributed processing, and cloud-based data platforms.
• Assess proficiency in Python, SQL, and relevant data engineering technologies.
• Lead technical discussions covering data pipelines, system design, scalability, and performance optimization.
• Provide structured, objective feedback on candidates' technical strengths and areas for improvement.
• Coordinate with the operations team to facilitate interviews and technical assessments.
• Maintain consistency, professionalism, and fairness throughout the evaluation process.

Required Qualifications

• 8+ years of professional data engineering experience in corporate, enterprise, or established IT services environments.
• Strong hands-on experience with Python, SQL, and modern data engineering technologies.
• Knowledge of distributed processing frameworks such as Apache Spark, Flink, or Hadoop.
• Experience with workflow orchestration tools such as Airflow, Prefect, or Dagster.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Familiarity with modern data warehouses and lakehouse platforms, including Snowflake, Databricks, BigQuery, or Redshift.
• Understanding of data modeling, data pipelines, streaming technologies, and production data systems.
• Strong verbal and written English communication skills.
• Ability to provide clear, structured, and objective technical assessments.
• Legal authorization to work in the United States or Canada, as applicable to the engagement.

Preferred Qualifications

• Previous experience conducting technical interviews or evaluating engineering candidates.
• Experience mentoring engineers, reviewing technical designs, or participating in engineering hiring decisions.
• Knowledge of structured technical interviewing and competency-based assessment methods.
• A bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related field, or equivalent professional experience.

Work Arrangement

• Fully remote, part-time contract engagement.
• Flexible scheduling based on mutual availability and interview demand.
• An expected commitment of approximately 5–20 hours per week, depending on business requirements and your availability.
• Ongoing collaboration opportunities based on performance, availability, and business needs.

Pay: $55.00 - $70.00 per hour

Work Location: Remote