Senior Data Engineer – Full Stack

Codvo.ai

Senior Data Engineer developing and maintaining internal tools, automation frameworks, and workflows for data and machine learning platforms. Collaborating with Data Engineers, Data Scientists, and ML Engineers to enhance operations.

Posted 6/16/2026full-timeRemote • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies

ETLPythonReactTerraform

About the role

Key responsibilities & impact

Design and develop CLI tools, scripts, and internal utilities to automate repetitive tasks across the data platform, including:
Pipeline execution and orchestration
Data governance workflows
Metadata synchronization
Environment setup and configuration
Test harness development
Automate workflows on Databricks, including:
Job deployment and scheduling
Environment provisioning
MLOps processes using APIs, Terraform, or Databricks SDK
Build and implement robust testing frameworks:
Integration testing for pipelines
End-to-end validation of ETL/ELT workflows
Testing and validation for ML inference workflows
Improve overall productivity, scalability, and reliability of the data and ML engineering ecosystem
Develop lightweight internal tools and dashboards using frameworks such as React, Streamlit, or similar technologies to:
Visualize data pipelines and workflows
Demonstrate model inference capabilities
Provide configuration and operational controls
Enable internal productivity monitoring and dashboards
Collaborate with cross-functional teams to identify automation opportunities and implement best practices

Requirements

What you’ll need

8+ years of experience in Data Engineering, Platform Engineering, or related roles
Strong experience in Python and scripting for automation and backend development
Hands-on experience with Databricks platform and ecosystem
Experience with APIs, Terraform, and/or Databricks SDK for automation
Solid understanding of ETL/ELT pipelines and data platform architecture
Experience building testing frameworks for data pipelines and ML workflows
Familiarity with CLI tool development and system automation
Knowledge of MLOps principles and practices
Experience with modern development practices, including:
Spec-driven development
Use of coding agents or automation-assisted development tools
Version control and CI/CD pipelines

Benefits

Comp & perks

Flexible work arrangements

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonscriptingDatabricksAPIsTerraformDatabricks SDKETLELTtesting frameworksCLI tool development

Soft Skills

collaborationautomationproblem-solvingproductivity improvementscalability enhancementreliability improvementcross-functional teamworkbest practices implementation