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5 results for Data Engineer in Southborough, MA

Data Engineer

Boston, MA
onsite
Temporary / Contract
39.5865 - 45.837 USD / Hourly
We are looking for a Data Engineer to support enterprise data movement and application integration efforts in Boston, Massachusetts. This Long-term Contract position will focus on building, maintaining, and enhancing custom services that transfer, load, and transform data across multiple systems. The role works closely with technical and business teams to deliver reliable integration solutions using .NET/C#, APIs, and modern deployment practices. Responsibilities: • Design, support, and improve custom integration services that move data between enterprise platforms and applications. • Build and maintain ETL processes for data loading, transformation, and system-to-system exchange. • Develop microservice-based solutions in .NET/C# to replace larger legacy integration components where needed. • Create and support API-driven integrations, including services that rely on REST and SOAP protocols. • Partner with business analysts, developers, and solution stakeholders to translate operational needs into technical data workflows. • Monitor data pipelines and integration jobs, troubleshoot failures, and resolve performance or reliability issues. • Contribute to deployment and release activities using Azure DevOps or comparable CI/CD tools. • Support integrations involving key enterprise platforms such as Salesforce and higher education systems when applicable.
2026-08-24T00:00:00Z

Data Engineer

Acton, MA
onsite
Temporary to Hire
60 - 70 USD / Hourly
We are looking for a Data Engineer to join a hybrid team in Massachusetts in a contract capacity with the potential to become permanent. This role focuses on designing dependable data solutions that support reporting, analytics, and broader business needs. The ideal candidate brings hands-on experience with modern cloud data platforms and enjoys improving data flow, structure, and performance across production environments. Responsibilities: • Design, build, and enhance scalable data pipelines that support reliable movement and transformation of enterprise data. • Create and refine Snowflake data models to ensure efficient storage, accessibility, and performance for downstream use. • Bring new internal and external data sources into existing workflows while maintaining consistency and integrity across systems. • Track pipeline health, investigate processing issues, and resolve data anomalies to keep production operations stable. • Strengthen data workflows through automation, process optimization, and improved operational efficiency. • Work closely with analysts, architects, software engineers, and business partners to deliver dependable data solutions aligned with organizational goals. • Produce clear technical documentation covering pipeline logic, data processes, and engineering standards. • Apply data quality checks, validation methods, and error-handling practices to support trustworthy and governed datasets.
2026-09-02T00:00:00Z

Snowflake Data Engineer

Chelmsford, MA
onsite
Permanent / Full Time
95000 - 120000 USD / Yearly
Snowflake & Data Engineering SpecialistLocation: Northwest of Boston, MASchedule: Hybrid (3 days onsite per week)Employment Type: Full-Time OverviewWe are seeking a hands-on Snowflake & Data Engineering Specialist to join our growing data team. This is an ideal opportunity for someone who enjoys wearing multiple hats and wants to be involved in every aspect of the data lifecycle.Unlike larger organizations where responsibilities are highly specialized, this role offers broad exposure across data architecture, ingestion, ETL development, optimization, reporting support, and platform modernization. You will help drive our transition away from legacy SSIS-based processes and play a key role in building the next generation of our cloud-based data ecosystem.We're particularly interested in candidates who have worked in smaller or mid-sized organizations where they have owned projects from start to finish and aren't afraid to roll up their sleeves to solve problems. What You'll Do<ul><li>Design, build, and maintain scalable data pipelines in Snowflake</li><li>Lead efforts to migrate legacy SSIS workflows to modern cloud-based solutions</li><li>Perform end-to-end data ingestion from a variety of source systems, APIs, flat files, databases, and third-party platforms</li><li>Develop and optimize ETL/ELT processes to support analytics and business operations</li><li>Partner directly with business stakeholders to understand data needs and deliver solutions</li><li>Monitor, troubleshoot, and improve existing data integration processes</li><li>Create and maintain data models, transformations, and data quality processes</li><li>Support reporting, analytics, and downstream data consumers</li><li>Participate in architecture discussions and help shape the company's long-term data strategy</li><li>Contribute wherever needed as part of a collaborative, high-impact team</li></ul>
2026-08-10T00:00:00Z

Software Engineer

Nashua, NH
onsite
Permanent / Full Time
0 - 0 USD / Yearly
Join a collaborative software development team where your contributions will have a direct impact on modern web applications. We're seeking a Front-End Software Developer who enjoys building intuitive user experiences, writing clean code, and working closely with fellow developers in an Agile environment.This position is ideal for someone with a solid foundation in React and TypeScript who is looking to continue expanding their skills while contributing to meaningful projects. What You'll Do<ul><li>Design, develop, and deploy new front-end functionality</li><li>Create reusable, scalable UI components and features</li><li>Participate in code reviews and provide constructive feedback to team members</li><li>Review pull requests and help maintain coding standards across the application</li><li>Collaborate in Agile ceremonies, including stand-ups, sprint planning, grooming sessions, and retrospectives</li><li>Partner with developers and stakeholders to deliver high-quality software solutions</li><li>Write maintainable, well-tested code that meets quality, build, and linting standards</li></ul>Why Consider This Opportunity?<ul><li>Collaborate with a supportive and highly engaged development team</li><li>Contribute to modern web applications using current technologies</li><li>Opportunity to grow your skills and take on increasing responsibility</li><li>Strong emphasis on teamwork, code quality, and professional development</li></ul>This is an excellent opportunity for a developer who enjoys building polished user experiences and wants to be part of a team that values collaboration, continuous improvement, and technical excellence.
2026-09-01T00:00:00Z

Data Operations Engineer - EFT & Integrations

Providence, RI
remote
Temporary / Contract
75 - 90 USD / Hourly
We are looking for a senior-level Data Operations Engineer to support secure data exchange and reliable integration workflows for a long-term contract role based in Providence, Rhode Island. This position focuses on building resilient file-processing solutions, improving data reliability, and developing automation that strengthens day-to-day operations. The ideal candidate brings strong experience with Python, SQL, EFT processes, and production-grade data pipelines, along with a practical approach to troubleshooting and operational excellence. Responsibilities: • Create and maintain secure electronic file transfer solutions for inbound and outbound data exchanges using protocols such as SFTP and FTP. • Develop scalable processes to onboard partner data feeds and manage recurring integration workflows with consistency and accuracy. • Build automated controls for file validation, reconciliation, exception handling, retry logic, and operational alerting. • Write robust Python code to ingest, transform, validate, and reconcile data across operational pipelines. • Use advanced SQL to investigate data integrity, compare datasets, identify anomalies, and support trend analysis. • Monitor production data workflows, detect quality issues early, and respond quickly to processing disruptions. • Perform root-cause analysis for failed jobs or data discrepancies and implement long-term corrective actions. • Reduce manual operational effort by introducing automation, monitoring, and repeatable support procedures. • Produce clear technical documentation, support guides, and runbooks to improve ongoing operational support. • Partner with engineering, analytics, and business stakeholders to resolve integration challenges while maintaining proper security and privacy controls for sensitive data.
2026-09-04T00:00:00Z