[Remote] Remote | Data Infrastructure Evaluation Engineer — Up to $90/hour

Note: The job is a remote job and is open to candidates in USA. 24-MAG LLC is offering a specialized remote consulting opportunity for experienced data engineers. The role focuses on evaluating data engineering implementations, reviewing technical workflows, and assessing data infrastructure using modern coding agents.ResponsibilitiesUse modern coding agents to complete and evaluate complex data engineering tasksReview generated implementations involving ETL pipelines, data warehouses, analytics platforms, and distributed data systemsAssess technical outputs for correctness, scalability, maintainability, reliability, and production-readinessApply professional data engineering judgment to realistic infrastructure and pipeline scenariosEvaluate pipeline architecture, data transformation logic, ingestion workflows, orchestration patterns, and data quality checksReview data warehouse and analytics platform implementations for performance, accuracy, structure, and maintainabilityIdentify bugs, edge cases, scalability issues, failure modes, and weak assumptions in data engineering outputsProvide structured feedback on data flow, system design, reliability, and implementation qualityCompare outputs from multiple coding agents and assess their strengths, weaknesses, accuracy, and practical usefulnessIdentify where generated solutions succeed, where they fail, and where additional engineering judgment is requiredEvaluate whether generated data infrastructure reflects real-world data engineering standardsDocument technical review findings clearly for project teams and quality evaluation workflowsProduce clear, structured evaluations of data engineering tasks and generated outputsExplain reasoning around pipeline design, data modelling, warehouse architecture, distributed systems, scalability, and failure handlingSupport technical assessment workflows by documenting accepted work, improvement areas, and practical engineering conclusionsHelp ensure outputs reflect production-scale data engineering expectationsSkills2+ years of professional data engineering experienceHands-on experience building ETL pipelines, data warehouses, analytics platforms, distributed data systems, or large-scale data infrastructureRegular use of AI coding agents such as Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or comparable toolsAbility to evaluate generated data infrastructure and pipeline implementations for correctness, scalability, and reliabilityStrong understanding of data modelling, data quality, orchestration, distributed processing, warehouse design, and pipeline maintainabilityClear written communication skills and comfort documenting technical reasoning in a remote, project-based environmentA degree in Computer Science, Data Engineering, Software Engineering, Computer Engineering, Information Systems, Statistics, or a related technical field is helpfulEquivalent professional experience in data engineering, analytics engineering, distributed systems, or production data platforms is also highly relevantExperience supporting large-scale data platforms is strongly preferredExperience with Python, SQL, Spark, Airflow, dbt, Kafka, Flink, Snowflake, BigQuery, Redshift, Databricks, or comparable data toolsFamiliarity with cloud data platforms, data lakehouse architecture, orchestration systems, batch processing, streaming pipelines, or data quality frameworksExperience with CI/CD workflows, Docker, Kubernetes, Terraform, observability tooling, or infrastructure automation in data environmentsBackground in technical code review, data architecture review, pipeline performance evaluation, or large-scale analytics systemsStrong comfort working in sprint-based project environments with focused technical assessment windowsBenefitsRemote consulting work aligned with data engineering, coding agent, and technical evaluation expertiseFully remote and flexible schedulingSprint-based, project-based availabilityPayments are made weekly via Stripe or Wise based on services renderedProjects may be extended, shortened, adjusted, or concluded based on project needs and performanceCompany OverviewAt 24-MAG, we support emerging AI and consulting platforms by sourcing and connecting qualified professionals with remote, contract-based opportunities. It was founded in undefined, and is headquartered in Sheridan, Wyoming, US, with a workforce of 2-10 employees. Its website is https://24-mag.com/.