We are looking for a Senior Data Engineer to join a growing data team supporting an innovative healthcare-focused program in Boston, Massachusetts. In this role, you will design and optimize data solutions that transform complex patient, medical, financial, and marketing information into reliable assets for analytics and leadership reporting. This position offers the opportunity to work remotely while partnering closely with technical and business stakeholders to build scalable data pipelines in a modern Azure environment.<br><br>Responsibilities:<br>• Design, build, and maintain robust data pipelines that ingest, transform, and organize information from multiple sources for downstream analytics use.<br>• Develop scalable data engineering solutions using Databricks, Azure Data Factory, SQL, and Python within a cloud-based architecture.<br>• Integrate and prepare diverse datasets, including patient-related, clinical, financial, and marketing data, to support reporting and business insights.<br>• Collaborate with business intelligence partners to deliver clean, dependable datasets that power dashboards, reporting, and decision-making for leadership teams.<br>• Write efficient SQL and transformation logic to solve complex data challenges and improve the performance and reliability of existing workflows.<br>• Partner with architects and cross-functional stakeholders to define data models, engineering standards, and best practices across the platform.<br>• Monitor pipeline health, troubleshoot data issues, and implement improvements that strengthen data quality, accuracy, and operational stability.<br>• Contribute as a senior member of a small engineering team by sharing technical guidance, communicating clearly, and supporting long-term platform growth.
<p>Job Summary</p><p>A large, well‑known technology organization is seeking a <strong>Data Analyst I</strong> to support an engineering and operations team focused on hardware systems and large‑scale deployment programs. This role supports data analysis, reporting, and cross‑functional decision‑making in a fast‑paced environment.</p><p>Key Responsibilities</p><ul><li>Analyze operational, engineering, and process data to support program execution and decision‑making</li><li>Build and maintain reports, dashboards, and data summaries for stakeholders</li><li>Partner with engineering, supply chain, and operations teams to validate data accuracy</li><li>Support tracking of metrics, trends, and performance indicators</li><li>Assist with documentation, data audits, and ad‑hoc analysis requests</li><li>Ensure data consistency across systems and reporting tools</li></ul><p><br></p>
<p>We are looking for a Data Analytics Engineer to help strengthen and scale analytics capabilities supporting participant and healthcare-related data initiatives in Boston, Massachusetts. This role is ideal for an early-career data specialist who enjoys building reliable datasets, improving reporting foundations, and partnering with analysts and business teams to turn complex information into actionable insight. You will work in a modern cloud data environment and contribute to data products that support performance measurement, operational visibility, and informed decision-making.</p><p><br></p><p>Responsibilities:</p><p>• Build and support data pipelines, curated datasets, and analytics-ready data structures used for reporting and performance tracking.</p><p>• Clean, join, and reshape data from multiple sources to produce dependable outputs for dashboards, KPI measurement, and deeper analysis.</p><p>• Partner with analysts, engineers, and business stakeholders to translate reporting needs into practical data models and scalable solutions.</p><p>• Investigate pipeline failures and data inconsistencies, then implement fixes that improve reliability, accuracy, and timeliness.</p><p>• Maintain clear documentation for data definitions, model logic, source mapping, and lineage to improve transparency across the analytics function.</p><p>• Create recurring and on-demand analyses that help teams monitor trends, evaluate outcomes, and support current business priorities.</p><p>• Contribute to the upkeep and optimization of analytics workflows within tools such as Databricks, Microsoft Fabric, and related cloud platforms.</p><p>• Provide data support to operational teams and assist with information requests tied to cross-functional initiatives or external-facing needs.</p>
We are looking for a Business Intelligence and Data Analyst to join a collaborative analytics team supporting enterprise performance initiatives in Boston, Massachusetts. In this role, you will work closely with data engineering and business stakeholders to turn complex operational information into clear, actionable reporting. This position is ideal for an early-career analyst who enjoys building dashboards, improving reporting accuracy, and helping leaders make informed decisions through data.<br><br>Responsibilities:<br>• Create and refine Power BI dashboards and recurring reports that give teams clear visibility into performance trends and operational results.<br>• Analyze large and varied datasets to uncover meaningful patterns, explain performance drivers, and support business decision-making.<br>• Partner with data engineers and cross-functional teams to gather reporting needs, validate data sources, and improve the reliability of analytics outputs.<br>• Maintain, update, and enhance existing business intelligence solutions to ensure reporting remains accurate, relevant, and easy to use.<br>• Deliver both scheduled reporting and ad hoc analysis to help leadership monitor priorities and respond to emerging business questions.<br>• Develop and track key performance indicators that measure outcomes across departments and highlight opportunities for improvement.<br>• Present findings in a concise, business-friendly way so that both technical and non-technical stakeholders can act on the insights provided.<br>• Support broader analytics adoption by helping users understand reporting tools, metrics, and dashboard functionality.<br>• Contribute to technical assessments and problem-solving efforts related to reporting processes, data quality, and dashboard performance.
<p>We are looking for an AI Software Engineer to help design, build, and deploy AI-driven solutions that improve production, quality, and operational efficiency. You’ll work closely with engineering, operations, and data teams to identify high‑value use cases and turn them into scalable, real-world solutions.</p><p><br></p><p><strong>What You’ll Do</strong></p><ul><li>Develop and deploy AI/ML models for manufacturing use cases (predictive maintenance, quality inspection, process optimization)</li><li>Work with sensor, production, and ERP data to build actionable insights</li><li>Collaborate with cross‑functional teams to move ideas from concept to production</li></ul><p><strong>What We’re Looking For</strong></p><ul><li>Experience with Python and modern ML frameworks (TensorFlow, PyTorch, scikit-learn)</li><li>Strong software engineering fundamentals and experience deploying models to production</li><li>Interest or background in manufacturing, industrial systems, or operational data</li></ul><p><br></p>
We are looking for a motivated entry-level Systems Engineer to join our team in Littleton, Massachusetts. In this role, you will support a variety of hardware and software initiatives, troubleshoot issues, and contribute to system improvements. If you have a passion for technology, enjoy problem-solving, and thrive in a dynamic environment, this position is an excellent opportunity to grow your career.<br><br>Responsibilities:<br>• Diagnose and resolve hardware and software issues across multiple systems.<br>• Support the integration and maintenance of Active Directory, Microsoft Windows Server, and Azure Active Directory.<br>• Assist in managing and optimizing Citrix technologies to enhance system performance.<br>• Collaborate with team members to prioritize and triage technical problems effectively.<br>• Participate in the development and implementation of computer-aided software engineering tools.<br>• Utilize Python to automate tasks and improve system efficiency.<br>• Provide technical support for PC software and laptop hardware.<br>• Document processes and procedures to ensure consistent system operations.<br>• Stay up-to-date with emerging technologies and recommend improvements to existing systems.
We are looking for an experienced Business Analyst to support a mortgage industry team in Boston, Massachusetts through a Long-term Contract engagement. This role will focus on translating business needs into clear requirements for a web-based application used to capture and report vendor and expense information tied to rental property management activities. The position partners closely with technology and business stakeholders in an Agile delivery environment while also contributing to smaller enhancements, defect review, and ongoing backlog priorities.<br><br>Responsibilities:<br>• Elicit, analyze, and document business requirements for a new web application supporting rental property management reporting and compliance needs.<br>• Partner with business users, developers, QA, and solution architecture resources to turn operational needs into detailed functional specifications and user stories.<br>• Facilitate requirement reviews, backlog refinement sessions, sprint planning activities, and recurring Scrum ceremonies across cross-functional teams.<br>• Examine current workflows, identify gaps in system capabilities, and recommend improvements that better align the application with business objectives.<br>• Support the creation and maintenance of project documentation, including process flows, requirement artifacts, user-focused materials, and traceability records.<br>• Contribute to quality efforts by assisting with test planning, validating outcomes, and supporting user acceptance activities for new features and enhancements.<br>• Use tools such as Azure DevOps to manage requirements, track work items, and maintain visibility into sprint and backlog progress.<br>• Work on supplemental assignments such as production issues, minor enhancements, and emerging project needs as priorities evolve.