Data Management Engineer

Towne Park•Plymouth Meeting, PA

4h•$120,000 - $130,000

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.

Stand Out From the Crowd

Upload your resume and get instant feedback on how well it matches this job.

Upload and Match Resume