Remote Data Platform Engineer for AI/ML & Analytics

GoGuardian; Northern (KY); Hybrid; USD 130,000 - 150,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Employee equity plan

Work from home funds

Fertility & adoption reimbursement

Job summary

GoGuardian is hiring a Data Engineer II to design and optimize the Analytics/ML data platform. You’ll work with Data Science and BI teams to enable scalable data-driven products and AI capabilities across K-12 solutions.

The role emphasizes ETL, ML model pipelines, and MLOps, with emphasis on data quality, governance, and scalable architectures. A remote, fast-paced environment awaits.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field.
• 2–4 years of experience building and operating large-scale data systems, ideally supporting analytics and ML workloads.
• Proficiency in Python and SQL, with experience in PySpark, pandas, or similar data processing frameworks.
• Experience with DBT.
• Experience with modern data warehousing and lakehouse platforms, preferably Databricks.
• Hands‑on experience with workflow orchestration tools such as Airflow, Dagster, or Prefect.
• Strong understanding of data modeling, ETL design, and distributed data systems.
• Experience with AWS data and compute services (S3, Lambda, ECS, CloudWatch, etc.) or equivalent cloud platforms.
• Familiarity with MLOps concepts (e.g., feature stores, model registries, CI/CD for ML).
• Experience using Infrastructure as Code, preferably Terraform.

Responsibilities

• Design, build, and optimize ETL pipelines powering analytics, data science, and ML workflows using Databricks, PySpark, and Airflow.
• Develop and maintain labeling and retraining pipelines for ML models with quality, reproducibility, and observability.
• Implement and support MLOps practices, including model versioning, CI/CD for ML, and model monitoring in production.
• Collaborate with data scientists to productionize and scale model training, inference, and evaluation pipelines.
• Contribute to the design and evolution of the data lakehouse, including schema design and performance optimization.
• Document and communicate data architecture, lineage, and dependencies for transparency across teams.
• Champion data quality and governance, ensuring datasets are accurate and well-structured.
• Leverage infrastructure-as-code and containerization to build reproducible environments.
• Participate in code reviews and continuous improvement of engineering best practices.

Skills

Python

SQL

PySpark

Databricks

Airflow

MLOps

Terraform

AWS

Data modeling

Education

Bachelor’s degree in Computer Science or related field

Tools

Databricks

Airflow

DBT

Dagster

Prefect

Job description

GoGuardian is hiring a Data Engineer II to design and optimize the Analytics/ML data platform. You’ll work with Data Science and BI teams to enable scalable data-driven products and AI capabilities across K-12 solutions.

The role emphasizes ETL, ML model pipelines, and MLOps, with emphasis on data quality, governance, and scalable architectures. A remote, fast-paced environment awaits.