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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Enterprise Data Engineer - **Company:** GreenWood, Inc. - **Location:** Worcester, MA, United States - **Experience:** Experienced - **Salary:** $130,000 - $160,000 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Business Analytics Applications, Data Analysis, Microsoft Azure, Business Software, Software as a Service, Cloud Computing, Information Systems, Data as a Services, Data Validation, Information Engineering, Data Governance, Data Integration, Data Mapping, Data Transformation, Database Connection, Database Queries, Human Resources Information System (HRIS), JSON, Python (Programming Language), Netsuite, Power BI, Salesforce.Com, Software Systems, Systems Architecture, Systems Integration, Extensible Markup Language (XML), Enterprise Data Management, Enterprise Software Applications, Sql Optimization, Snowflake, Zapier, Git, HR Software, Ceridian Dayforce, Data Lakes, Information Technology, Data Analytics, Restful APIs, Software Version Control, Data Pipelines, Databricks - **Published:** October 18, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=cbc300db8e1ce590 ## About the Role * 5+ years of experience in Data Engineering, Data Integration, or Business Intelligence. * Experience meeting with business leaders to understand their business and translating that to what data and dashboards are needed. * Bachelor's degree in Computer Science, Information Systems, Data Analytics, or a related technical field, or equivalent combination of education and experience. * Advanced SQL skills with experience designing, optimizing, and troubleshooting complex queries. * Experience developing enterprise reporting and analytics solutions using Microsoft Power BI or similar BI platforms. * Experience working with cloud-based enterprise applications and data services (Microsoft Azure experience is a plus). * Experience with data pipeline and transformation tools (e.g., Databricks, Fivetran, dbt, or similar technologies). * Experience with enterprise data modeling and designing data warehouses, data lakes, or modern analytical data platforms. * Experience implementing data quality, data governance, and data validation processes. * Experience developing data transformation and automation solutions using Python. * Experience integrating enterprise applications, including ERP, CRM, and HRIS platforms (e.g., NetSuite, Salesforce, Dayforce, or similar). * Experience working with REST APIs, JSON, XML, and modern data integration methods. * Experience using Git or other version control systems. * Excellent communication and interpersonal skills with the ability to effectively collaborate with both technical and non-technical stakeholders. * Strong analytical, problem-solving, and organizational skills with exceptional attention to detail. * Ability to manage multiple priorities, work independently, and deliver high-quality solutions in a fast-paced environment. * Experience supporting enterprise application implementations, system migrations, and acquisitions is preferred. Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa for this position., * Are you legally authorized to work in the United States without current or future employer sponsorship? Note, an F-1 (CPT, OPT, or STEM OPT), H1-B, TN, J1 or E-3 Visa, would result in a "No" answer., * Data Engineering, Data Integration, or Business Intelligence: 5 years (Required) * meeting with business leaders: 2 years (Required) * Workato and/or Snowflake: 2 years (Required) ## Description You will work closely with business and technology teams to integrate data across enterprise applications, ensuring data quality, consistency, and accessibility. As Greenwood continues to grow through acquisitions and national expansion, the Enterprise Data Engineer will play a critical part in ensuring newly integrated branches adopt common data elements, workflows, and reporting structures. The position will support scalable system architecture, integrated software systems, and operational visibility across all divisions., * Design, develop, and maintain enterprise data pipelines supporting ERP, CRM, HRIS, and other business applications. * Translate business requirements into scalable data solutions to provide meaningful insights and support informed decision-making across the organization * Develop and maintain clean, reliable, and scalable datasets to support reporting, analytics, and business intelligence initiatives. * Design and optimize data models that enable accurate, timely, and consistent reporting across the organization. * Develop and maintain integrations between enterprise applications using APIs, database connections, and other modern integration methods. * Collaborate effectively with both technical and non-technical stakeholders, including business stakeholders, application owners, and third-party SaaS providers to understand data requirements and ensure data quality, integrity, and consistency. * Support enterprise application implementations, acquisitions, and system migrations through data mapping, transformation, validation, and conversion activities. * Monitor and improve data quality, governance, and documentation across enterprise data sources. * Troubleshoot and resolve data integration, transformation, and reporting issues. * Partner with Finance, Operations, Sales, HR, and IT to deliver scalable data solutions that support business decision-making. * Ensure enterprise data solutions adhere to company security, privacy, and compliance standards.