Data Engineer II

GoGuardian
United States
Workplace: RemoteFull timeUSD 130,000 - 150,000 annuallyFunction: Data Analytics & Business IntelligenceExperience: 2-4 yearsEducation: bachelorsSkills: ["Problem-solving","Collaboration","Communication"]

Design, build, and continuously improve the data pipelines powering analytics and the company’s AI/ML ecosystem. You’ll develop ETL workflows (using tools like Databricks, PySpark, and Airflow), partner with Data Science to productionize training/inference pipelines, and help evolve the data lakehouse with strong data modeling and governance. The role also includes MLOps support (versioning, CI/CD, monitoring) and building reproducible environments via infrastructure-as-code and containerization.

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FursaFursa
GoGuardian
GoGuardian
1 day ago

Data Engineer II

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 9 hours agoStatus: Live
Reposted: similar role first listed 9 months ago

Job Summary

Design, build, and continuously improve the data pipelines powering analytics and the company’s AI/ML ecosystem. You’ll develop ETL workflows (using tools like Databricks, PySpark, and Airflow), partner with Data Science to productionize training/inference pipelines, and help evolve the data lakehouse with strong data modeling and governance. The role also includes MLOps support (versioning, CI/CD, monitoring) and building reproducible environments via infrastructure-as-code and containerization.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Mid level

Key Responsibilities

  • •Design, build, and optimize ETL pipelines for analytics, data science, and ML workflows using tools such as Databricks, PySpark, and Airflow.
  • •Develop and maintain labeling and retraining pipelines for ML models, ensuring 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 data lakehouse (schema design, partitioning, performance) and champion data quality and governance while documenting lineage and dependencies.

Pay and Benefits

Salary: USD 130,000 - 150,000 annually
Perks:Health Insurance401kEquityPaid LeaveParental LeaveRemote Work

Key Requirements

  • •Bachelor’s degree in Computer Science, Engineering, or related field.
  • •2–4 years building and operating large-scale data systems for analytics and/or ML workloads.
  • •Proficiency in Python and SQL, with experience using PySpark and/or pandas.
  • •Experience with DBT and modern data warehousing/lakehouse platforms, preferably Databricks.
  • •Hands-on experience with workflow orchestration tools (Airflow, Dagster, or Prefect) and AWS data/compute services (e.g., S3, Lambda, ECS, CloudWatch).
Experience:2-4 yearsK-12Data systemsAnalyticsMLMLOps
Education:Bachelor's
Skills:Problem-solvingCollaborationCommunication
Tech Stack:PythonSQLPySparkPandasDBTDatabricksAirflowDagsterPrefectETLData modelingData lakehouseAWSS3LambdaECSCloudWatchMLOpsModel versioningCI/CD

Company Brief

GoGuardian
Develops classroom management, student safety, and device management software for K–12 schools. GoGuardian provides tools for web filtering, mental-health insights, remote learning support, and IT device management to help educators monitor and protect students online.
Industry: EdTech
Company Size: Large (251 to 1,000 employees)
Growth: Established Company
Headquarters: San Diego, United States
Founded: 2014
WebsiteLinkedIn