Azure & Snowflake Data Engineer

HTC Global Services

Troy (MI)

On-site

USD 90,000 - 130,000

Full time

14 days+

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Benefits offered by this job

Health benefits
PTO
401(k) match
Professional development
Wellness programs

Job summary

HTC Global Services is seeking an Azure Data Engineer (Snowflake & Azure Data Factory) to design and build scalable data pipelines in a global delivery setting.

You will work across data warehouse and lakehouse environments using Azure Data Factory, Snowflake, SQL, Python, and Snowpark while collaborating with onsite and offshore teams. The role emphasizes hands-on development, troubleshooting, and delivering reliable data solutions.

Qualifications

  • Four+ years building data pipelines on Microsoft Azure.
  • Hands-on Azure Data Factory experience.
  • Strong SQL development and query optimization skills.
  • Python programming for data engineering and automation.
  • Snowflake experience with Tasks, Streams, procedures, functions and Snowpark.
  • Knowledge of data warehouse and lakehouse architectures and data modeling.
  • Experience with ETL/ELT processing and production pipelines.
  • Experience in Agile delivery teams with strong communication.

Responsibilities

  • Design, develop, test, and support scalable data pipelines on Microsoft Azure.
  • Build and maintain data integration workflows with Azure Data Factory.
  • Develop Snowflake solutions using Tasks, Streams, stored procedures, functions, and Snowpark.
  • Write and optimize complex SQL queries and data transformations.
  • Develop Python-based data processing and automation solutions.
  • Support ingestion, transformation, validation, and delivery across platforms.
  • Apply data warehouse and lakehouse concepts with proper data modeling.
  • Troubleshoot data quality, performance, and integration issues.
  • Monitor workflows and coordinate with onsite/offshore teams.

Skills

Azure Data Factory
SQL
Python
Snowflake
Agile delivery
Data modeling
ETL/ELT
Data pipelines
Data warehousing

Tools

Snowpark

Job description

Azure Data Engineer (Snowflake & Azure Data Factory)

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

Job Description

Job Title: Azure Data Engineer (Snowflake & Azure Data Factory)

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, and 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, and 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.
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.

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