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Verified Pay check_circle $53 - $56.81 per hour
Hours Full-time, Part-time
Location Minnetonka Mills, MN
Minnetonka Mills, Minnesota open_in_new

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About this job

Job Description

Job Description
Role Summary

  • Experience Required: 4–6 years

  • Primary Role: Data Engineer / API Role with AI Builder

  • Cloud Platform: Azure Cloud

  • Role Type: Individual Contributor

Core Technical Skills

  • Azure Databricks

  • PySpark

  • Scala

  • Azure Data Factory (ADF)

  • Azure Data Lake Storage Gen2 (ADLS Gen2)

  • Delta Lake

  • Unity Catalog

  • Python

  • SQL

  • GitHub

  • CI/CD

Data Engineering Responsibilities

  • Design, develop, and optimize scalable data pipelines.

  • Build cloud-based data solutions using Azure.

  • Develop ETL/ELT data processing workflows.

  • Work with large-scale datasets in enterprise environments.

  • Perform data modeling and performance tuning.

  • Implement and maintain Delta Lake solutions.

  • Work with Databricks, ADF, and PySpark for data engineering workloads.

  • Develop end-to-end data solutions independently.

  • Apply data governance and security best practices.

API Development Skills

  • Strong hands-on experience building REST or GraphQL APIs.

  • Understanding of:

    • API design and contracts

    • API security

    • Error handling

    • API performance optimization

  • Experience deploying APIs using Kubernetes, preferably Azure Kubernetes Service (AKS).

AI / ML Skills

  • Exposure to AI/LLM technologies.

  • Experience or exposure to agentic frameworks.

  • Familiarity with:

    • Databricks AI/ML

    • Codex

    • Claude

    • Other LLM/AI development frameworks

Cloud & DevOps

  • Strong hands-on experience with Azure Cloud.

  • Experience with CI/CD practices.

  • GitHub experience.

  • Knowledge of cloud-native data platforms.

  • Understanding of Kubernetes/AKS deployment.

Data Governance & Security

  • Strong understanding of data governance.

  • Knowledge of data security and access control.

  • Experience with Unity Catalog is preferred.

  • Ability to implement secure and governed data solutions.

Essential Skills

  • Databricks

  • Azure Data Factory (ADF)

  • PySpark

  • Azure Cloud

  • ADLS Gen2

  • Delta Lake

Desirable Skills

  • Scala

  • REST APIs / GraphQL

  • Kubernetes / AKS

  • AI/LLM

  • Agentic frameworks

  • Databricks AI/ML

  • CI/CD

  • Unity Catalog

Key Responsibilities

  • Own end-to-end solution delivery.

  • Analyze and solve complex data engineering problems.

  • Collaborate with cross-functional teams and business stakeholders.

  • Build scalable and reliable data pipelines.

  • Optimize data processing and API performance.

  • Follow enterprise standards for governance, security, and deployment.

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Posting ID: 1310147428 Posted: 2026-10-29 Job Title: Senior Data Engineer
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Senior Data Engineer