Data Management Engineer
About The Position
The Data Engineer will play a key role in designing, building, and optimizing data pipelines that power analytics and business intelligence across the organization. This role involves developing and maintaining scalable ETL/ELT processes, managing data integration between Azure and Snowflake environments, and ensuring data quality, reliability, and performance. The ideal candidate is a hands-on data professional with strong SQL and Snowflake expertise, experience in Azure data tools, and a solid understanding of modern data architecture principles. The role requires close collaboration with analysts, data scientists, and business stakeholders to deliver clean, well-modeled, and accessible data for reporting and decision-making.
Requirements
- 3-5 years of professional experience as a Data Engineer or in a similar role.
- Medium to Strong hands-on experience with: Azure Data Tools (Power BI, Power Automate, Webhooks, etc.) SQL Database Snowflake Data Warehouse SQL development and optimization skills.
- Familiarity with data modeling, ETL/ELT frameworks, and data lake architectures.
- Experience using Python/C /C# .NET for data transformations.
- Experience with Talend API Designer.
- Strong problem-solving and analytical skills.
- Ability to translate business needs into technical solutions.
- Comfortable working in a collaborative, agile environment.
- Clear communication skills with both technical and non-technical teams.
Nice To Haves
- Experience with Power BI, Power Automate, and Power Flow.
- Familiarity with cloud cost optimization and Snowflake performance tuning.
- Exposure to API-based data integration and streaming data.
- Familiarity or Experience with API Development and Ops.
Responsibilities
- Design, build, and maintain data pipelines and ETL/ELT processes for analytics and reporting.
- Work with Azure Data Tools, SQL Server, and Snowflake to manage data ingestion and transformation.
- Develop and optimize SQL queries, stored procedures, and data models in Snowflake.
- Implement data quality checks, monitoring, and error handling in data workflows.
- Collaborate with data analysts and business stakeholders to understand data requirements.
- Support the migration of data from Azure VM SQL Server to Snowflake environments.
- Contribute to the development and maintenance of data governance, metadata, and documentation.
Benefits
- Employees are eligible to enroll in medical, dental, and vision insurance, accident insurance, critical illness insurance, hospital indemnity insurance, and telemedicine benefits.
- Employees are provided company-paid basic life and AD&D insurance as well as short-term and long-term disability.
- Employees are also able to enroll in the company's 401k retirement savings plan.
- Employees accrue 0.0654 hours of PTO per hour worked up to a maximum of 136 hours per calendar year.
- Employees receive 6 paid holidays throughout the calendar year and employees accrue up to a maximum of 4 paid floating holidays per calendar year.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Industry
Personal and Laundry Services
Number of Employees
5,001-10,000 employees
