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Azure & Snowflake Data Engineer

HTC Global ServicesTroy, MI🇺🇸United StatesPosted 25 Jul 2026

Quick Overview

Work Type
On Site
Level
Mid Senior

Job Description

  • Apply your Azure and Snowflake data-engineering experience to build scalable pipelines and modern data solutions in a collaborative global delivery environment.

    This role is ideal for a hands-on Data Engineer who can independently design, develop, troubleshoot, and support data pipelines using Azure Data Factory, Snowflake, SQL, Python, and Snowpark. You will work across data-warehouse and lakehouse environments while collaborating closely with onsite and offshore team members.

    Key Responsibilities

  • Design, develop, test, and support scalable data pipelines on Microsoft Azure.
  • Build and maintain data-integration workflows using Azure Data Factory.
  • Develop Snowflake solutions using:
    • Tasks
    • Streams
    • Stored procedures
    • Functions
    • Snowpark
  • Write and optimize complex SQL queries, transformations, and data-processing logic.
  • Develop Python-based data-processing and automation solutions.
  • Support data ingestion, transformation, validation, and delivery across enterprise data platforms.
  • Apply data-warehouse, lakehouse, data-modeling, and solution-design concepts.
  • Troubleshoot data-quality, performance, pipeline, and integration issues.
  • Monitor data workflows and resolve failures or processing exceptions.
  • Participate in Agile planning, development, testing, and delivery activities.
  • Collaborate with business, engineering, architecture, and offshore delivery teams.
  • Track open issues during onsite working hours and provide clear handoffs to offshore team members.
  • Maintain technical documentation, data mappings, process flows, and operational support notes.
  • Work independently while communicating risks, dependencies, and progress to the broader team.

  • Required Qualifications

  • At least four years of experience building data pipelines using Microsoft Azure.
  • Strong hands-on experience with Azure Data Factory.
  • Strong SQL development and query-optimization skills.
  • Strong Python programming experience for data engineering and automation.
  • Hands-on Snowflake experience, including:
    • Tasks
    • Streams
    • Procedures
    • Functions
  • Experience using Snowpark.
  • Strong understanding of:
    • Data-warehouse architecture
    • Lakehouse architecture
    • Data modeling
    • Data-design concepts
    • ETL and ELT processing
  • Experience building and supporting production data pipelines.
  • Experience working within Agile delivery teams.
  • Strong analytical, organizational, and problem-solving skills.
  • Ability to work independently and deliver assigned work with limited supervision.
  • Strong written and verbal communication skills.
  • Ability to coordinate effectively with globally distributed onsite and offshore teams.
  • Ability to provide clear handoffs, status updates, and follow-up on unresolved issues.

  • Preferred Qualifications

  • Experience optimizing Snowflake performance and resource usage.
  • Experience with Azure Data Lake Storage.
  • Exposure to Azure Synapse Analytics.
  • Experience with Databricks or Spark-based processing.
  • Experience with CI/CD pipelines for data solutions.
  • Experience with Git, Azure DevOps, or similar source-control and delivery tools.
  • Experience supporting enterprise data platforms in production.
  • Familiarity with data-quality, governance, and monitoring practices.

  • Ideal Candidate Profile

    The ideal candidate is a hands-on Data Engineer who is equally comfortable working with Azure Data Factory, Snowflake, SQL, Python, and Snowpark.

    This person can independently develop and troubleshoot pipelines, understands modern data-warehouse and lakehouse concepts, and communicates clearly with both onsite and offshore teams. The strongest candidate will be dependable, organized, proactive about following up on open items, and capable of providing detailed handoffs across time zones.

What Makes HTC A Great Place To Build Your Future

HTC Global Services wants you to join our team. Come build new things with us and advance your career. At HTC Global, you ll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. You ll have long-term opportunities to grow your career and develop skills in the latest emerging technologies.

At HTC Global Services, our employees have access to a comprehensive benefits package. Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays, 401(k) matching, Group Life and Disability insurance, Professional Development opportunities, Wellness programs, and a variety of other perks.

Our success as a company is built on inclusion and diversity. HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier. We seek to empower each individual, fostering an environment where everyone feels valued, included, and respected.

Skills

SQL
ETL
Snowflake
Agile
Azure
Databricks
Git
Python

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