We are looking for a skilled Data Engineer to join our team in Foxborough, Massachusetts, on a long-term contract basis. In this role, you will design, optimize, and maintain data pipelines and storage solutions, leveraging modern tools to ensure high performance and reliability. This position offers an exciting opportunity to collaborate across teams and implement cutting-edge practices in data engineering and analytics.<br><br>Responsibilities:<br>• Optimize Amazon Redshift performance by configuring distribution keys, sort keys, and fine-tuning queries.<br>• Develop and maintain robust data pipelines using AWS Glue and orchestrate workflows with Airflow.<br>• Manage semantic layers and metadata to support reliable analytics and AI-driven insights.<br>• Implement best practices for data partitioning, compression, and columnar storage formats.<br>• Monitor and troubleshoot data workflows to ensure high availability, reliability, and automated observability.<br>• Automate data processing tasks using Python and AWS native tools.<br>• Enforce data security and governance policies, including row- and column-level controls, using Lake Formation and AWS services.<br>• Oversee compliance monitoring and auditing through CloudWatch, CloudTrail, and similar tools.<br>• Continuously refine and improve data architecture by adopting emerging AWS best practices and patterns.<br>• Collaborate closely with Operations, Data Governance, and other teams to align with standards and achieve delivery objectives.
We are looking for a skilled DevOps Engineer to join our team in Westborough, Massachusetts. In this long-term contract role, you will play a pivotal part in enhancing the reliability and scalability of cloud infrastructure, CI/CD pipelines, and deployment strategies. The position requires a hybrid schedule, with in-office work on Tuesdays, Wednesdays, and Thursdays.<br><br>Responsibilities:<br>• Design, build, and maintain robust CI/CD pipelines using tools such as GitHub Actions, Jenkins, and Ansible.<br>• Develop and implement standardized deployment pipelines for applications, integration platforms like MuleSoft, and cloud infrastructure.<br>• Manage cloud environments using Infrastructure as Code (IaC) technologies, including Terraform and Helm.<br>• Support containerized platforms and Kubernetes-based systems, including Docker.<br>• Collaborate with development teams to improve automation processes, deployment frequency, and platform reliability.<br>• Apply best practices for version control, secrets management, artifact repositories, and environmental consistency.<br>• Troubleshoot and resolve issues across pipelines, applications, and infrastructure layers to ensure operational stability.<br>• Enhance monitoring, logging, and observability tools to optimize platform performance.<br>• Partner with cross-functional teams to streamline DevOps practices for custom applications and backend services.<br>• Maintain detailed technical documentation and uphold high standards for follow-up and organizational timelines.
<p><strong>Data Engineer (Python / AWS)</strong></p><p><strong>Location:</strong> Remote (Northeast / Greater Boston area preferred)</p><p><strong>Type:</strong> Full-Time</p><p><strong>Level:</strong> Mid-to-Senior Individual Contributor</p><p><strong>About the Role</strong></p><p>We are looking for a strong individual contributor who excels in the Python data ecosystem and enjoys building reliable, scalable data pipelines. This role sits within a data engineering group responsible for integrating large volumes of data from external partners and transforming it into usable datasets for internal teams. You’ll work with modern cloud tools while also helping our team gradually transition away from a legacy platform.</p><p>This position is ideal for someone who wants to stay hands-on, focus on technical execution, and remain in an IC role for the next several years. We’re not looking for someone who is aiming to move immediately into architecture or leadership.</p><p>This team is fully distributed, and although candidates in the Boston area can go into the office, the rest of the group is remote. Anyone local may occasionally sit with other teams when on site.</p><p><br></p><p><strong>What You’ll Do</strong></p><ul><li>Build and maintain ETL pipelines that ingest, clean, and aggregate data received from external vendors and large enterprise partners.</li><li>Develop Python‑based data processing workflows deployed on AWS cloud services.</li><li>Work with tools such as AWS Glue, Airflow, dbt, and PySpark to support data transformations and pipeline orchestration.</li><li>Help modernize existing workflows and assist in the gradual migration away from a legacy data system.</li><li>Collaborate with internal stakeholders to understand data needs, define requirements, and ensure reliable integration of partner data feeds.</li><li>Troubleshoot pipeline issues, optimize performance, and improve overall system stability.</li><li>Contribute to best practices around code quality, testing, documentation, and data governance.</li></ul><p><br></p>
We are looking for a highly skilled Software Engineer with expertise in Angular and Python to join our dynamic team on a contract basis. This position focuses on full-stack development and requires significant experience in creating large-scale UI applications. Based in Boston, Massachusetts, this role offers an opportunity to work closely with a technical lead in a fast-paced, collaborative environment.<br><br>Responsibilities:<br>• Develop and maintain large-scale UI applications using Angular and Python.<br>• Integrate third-party libraries into the existing platform to enhance functionality.<br>• Collaborate closely with the technical lead and a small team to ensure project success.<br>• Utilize full-stack frameworks to build scalable and efficient software solutions.<br>• Write clean, maintainable code following best practices in Python scripting and Angular development.<br>• Troubleshoot and resolve issues related to application integration and cloud platforms.<br>• Adapt quickly to new technologies and workflows in a fast-paced environment.<br>• Participate in code reviews and provide constructive feedback to team members.<br>• Ensure high-quality software delivery by performing rigorous testing and debugging.<br>• Document development processes and maintain clear communication with stakeholders.
<p>We are looking for a skilled Data Analyst / Engineer to join our team on a contract basis remotely. This role focuses on financial data processing, automation, and reporting within a dynamic environment. The ideal candidate will excel at managing data workflows, automating manual processes, and delivering accurate insights to support business decisions.</p><p><br></p><p>Responsibilities:</p><p>• Extract and reconcile financial data from multiple databases, ensuring accuracy and consistency across accounts receivable, accounts payable, and general ledger lanes.</p><p>• Automate manual reporting processes by developing repeatable daily and month-end pipelines for reliable and auditable data.</p><p>• Design and oversee data workflows across development, production, and utility databases, ensuring secure and efficient access.</p><p>• Create and deliver advanced Excel-based reports using macros, formulas, and Power Query to enhance usability for finance teams.</p><p>• Implement data validation and snapshot techniques to support reconciliation and decision-making processes.</p><p>• Ensure the traceability and accuracy of financial data by establishing robust controls and audit mechanisms.</p><p>• Collaborate with stakeholders to understand reporting requirements and translate them into scalable solutions.</p><p>• Utilize expertise in SQL and Teradata Data Warehouse to optimize database objects and queries for performance.</p><p>• Develop and maintain documentation for automated processes and data workflows to ensure clarity and continuity.</p>
<p><strong>Front-End Developer (Vue.js / React / Angular + C#)</strong></p><p>We’re looking for a Front-End Developer who enjoys building modern, user-friendly applications and working across a full-stack environment. This role focuses primarily on front-end development using <strong>Vue.js</strong>, but we are equally open to candidates experienced with <strong>React</strong> or <strong>Angular</strong>, as long as they also bring strong <strong>C#/.NET</strong> skills to the table.</p><p><br></p><p><strong>About the Role</strong></p><p>In this position, you’ll work closely with product and backend teams to build interactive, high-performing web applications. You’ll contribute to UI development, API integration, and help shape the architectural direction of our front-end codebase. If you’re passionate about clean code, modern frameworks, and collaborating on end‑to‑end software solutions, this role is a great fit.</p><p><br></p><p><strong>Responsibilities</strong></p><ul><li>Develop intuitive and responsive user interfaces using <strong>Vue.js</strong>, <strong>React</strong>, or <strong>Angular</strong></li><li>Work hands-on with <strong>C#/.NET</strong> to integrate front-end features with backend services</li><li>Collaborate with designers, product managers, and backend engineers to deliver high‑quality features</li><li>Optimize components for performance, accessibility, and cross-browser compatibility</li><li>Consume and integrate RESTful APIs and backend services</li><li>Participate in code reviews, design discussions, and architectural planning</li><li>Troubleshoot and resolve application issues across the stack</li><li>Contribute to improving development processes, tooling, and frontend architecture</li></ul><p><br></p>
We are looking for a highly skilled Senior Software Engineer to join our team in Sommerville, Massachusetts. This is a long-term contract position that focuses on developing customer-facing applications and contributing to an innovative micro front-end architecture. The role offers an exciting opportunity to work on full-stack development using cutting-edge technologies.<br><br>Responsibilities:<br>• Design, develop, and maintain customer-facing applications with a focus on scalability and performance.<br>• Collaborate with a team of engineers to implement and optimize a micro front-end architecture.<br>• Develop and integrate navigational components and onboarding features for seamless user experiences.<br>• Build and maintain full-stack solutions utilizing technologies such as TypeScript, React, Ruby on Rails, and GraphQL.<br>• Work closely with other teams to ensure alignment and successful delivery of major releases.<br>• Write clean, efficient, and maintainable code while adhering to best practices.<br>• Debug, troubleshoot, and resolve complex technical issues across the stack.<br>• Participate in code reviews to ensure high-quality standards and foster team growth.<br>• Contribute to technical discussions and propose innovative solutions.<br>• Stay updated on emerging technologies and recommend their adoption when appropriate.
We are looking for an experienced Senior Data Scientist to join our dynamic team in Boston, Massachusetts. In this role, you will leverage your expertise in statistical modeling, machine learning, and cloud-based analytics to drive impactful decisions and solutions. The ideal candidate will bring a strong technical background, a passion for working with regulated data, and a commitment to ethical AI practices.<br><br>Responsibilities:<br>• Develop and implement advanced statistical models and machine learning algorithms to solve complex business problems.<br>• Monitor and evaluate the performance of AI models, ensuring reliability, fairness, and compliance with ethical standards.<br>• Collaborate with engineering and product teams to translate data-driven insights into actionable strategies.<br>• Utilize cloud-based tools such as AWS SageMaker and Redshift to design and deploy scalable analytics solutions.<br>• Handle sensitive healthcare or clinical trial datasets while adhering to strict data privacy and security regulations.<br>• Conduct exploratory data analysis and create visualizations to communicate findings effectively.<br>• Build and optimize ETL pipelines for efficient data transformation and integration.<br>• Apply Bayesian statistics and time-series forecasting techniques to improve predictive accuracy.<br>• Maintain comprehensive documentation of data science workflows and processes.<br>• Stay updated on industry trends and advancements to continuously enhance methodologies and tools.