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Data Engineer II

49 minutes ago
United States
Full-time
Junior
Data Engineer
Software Development
Apache Airflow Apache Spark AWS CI/CD Dagster Databricks dbt Machine Learning MLOps Pandas Prefect Python SQL Terraform
Apply Now
GoGuardian

GoGuardian

GoGuardian provides K-12 schools with tailored Chromebook solutions for safe and engaging digital learning, including device management, web filtering, and classroom engagement tools.

Internet Software & Services
251-1K
Founded 2014
$200M raised
View All Jobs 6

Description

  • Design, build, and optimize ETL pipelines for analytics, data science, and ML workflows.
  • Develop and maintain labeling and retraining pipelines for machine learning models.
  • Implement MLOps practices such as model versioning, CI/CD for ML, and production monitoring.
  • Collaborate with data scientists to productionize and scale training, inference, and evaluation pipelines.
  • Contribute to the design and evolution of the data lakehouse, including schema design and performance optimization.
  • Document data architecture, lineage, and dependencies to improve transparency and maintainability.
  • Champion data quality and governance to ensure datasets are accurate, structured, and compliant.
  • Use infrastructure-as-code and containerization to create reproducible, maintainable environments.
  • Participate in code reviews and team engineering best-practice improvements.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or a related field.
  • 2–4 years of experience building and operating large-scale data systems, ideally for analytics and ML workloads.
  • Proficiency in Python and SQL.
  • Experience with PySpark, pandas, or similar data processing frameworks.
  • Experience with DBT.
  • Experience with modern data warehousing and lakehouse platforms, preferably Databricks.
  • 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 such as S3, Lambda, ECS, and CloudWatch, or equivalent cloud platforms.
  • Familiarity with MLOps concepts such as feature stores, model registries, and CI/CD for ML.
  • Experience using infrastructure as code, preferably Terraform.
  • Strong problem-solving, collaboration, and communication skills in a dynamic, fast-paced environment.

Benefits

  • Competitive pay with a base salary range of $130,000 to $150,000 per year.
  • Complete health insurance and 401(k) matching.
  • Employee equity plan.
  • Flexible time off, paid holidays, and a paid year-end holiday break.
  • Paid parental leave.
  • Work-from-home funds.
  • Fertility and adoption reimbursement.
  • Professional growth and personal wellbeing benefits.

Interested in this position?

Apply directly on the company website

Apply Now

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