Senior Enterprise Data Engineer — Cloud, BI & Pipelines

NextPath Career Partners

Worcester (MA)

Hybrid

USD 120,000 - 150,000

Full time

14 days+

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Job summary

NextPath Workforce Solutions is seeking a Data Engineer to join our client’s team in Worcester, MA. This hybrid, direct hire position offers a challenging role in building scalable data pipelines across ERP, CRM, HRIS and more.

Candidates should have 5+ years in data engineering, strong SQL, Power BI, Python, and cloud experience with Azure. Familiarity with tools like Databricks, Fivetran, and dbt is a plus. Visa sponsorship is not available.

Qualifications

5+ years of experience in Data Engineering, Data Integration, or Business Intelligence.
Advanced SQL skills, including designing, optimizing, and troubleshooting complex queries.
Experience developing enterprise reporting and analytics solutions using Power BI or similar BI platforms.
Experience working with cloud-based enterprise applications and data services (Microsoft Azure preferred).
Proficiency with data pipeline and transformation tools (e.g., Databricks, Fivetran, dbt).
Knowledge of enterprise data modeling and designing data warehouses, data lakes, or modern analytical platforms.
Experience implementing data quality, governance, and validation processes.
Experience developing data transformation and automation solutions using Python.
Ability to integrate enterprise applications like ERP, CRM, and HRIS platforms (e.g., Salesforce, NetSuite, Dayforce).
Familiarity with REST APIs, JSON, XML, and modern data integration methods.
Experience with version control systems such as Git.
Strong communication and interpersonal skills to collaborate with technical and non-technical stakeholders.
Analytical, problem-solving, and organizational skills with high attention to detail.
Ability to manage multiple priorities and deliver high-quality solutions in a fast-paced environment.

Responsibilities

Develop, maintain, and optimize enterprise data pipelines supporting ERP, CRM, HRIS, and other systems.
Create reliable, scalable datasets for reporting, analytics, and BI initiatives.
Design and improve data models to enable accurate and timely reporting.
Build and maintain integrations between enterprise applications via APIs and database connections.
Collaborate with stakeholders to understand data requirements and ensure data quality and consistency.
Support enterprise system implementations, migrations, and acquisitions through data mapping and transformation.
Monitor and enhance data quality, governance, and documentation across data sources.
Troubleshoot and resolve data integration, transformation, and reporting issues.
Partner with various teams to deliver scalable data solutions to support decision-making.
Ensure data solutions comply with security, privacy, and regulatory standards.