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 Data Analyst to join our team on a long-term contract basis in Cambridge, Massachusetts. This role is ideal for someone who thrives in analyzing complex datasets, identifying trends, and delivering actionable insights. Your expertise in data reporting and visualization will be essential in supporting key organizational goals.<br><br>Responsibilities:<br>• Develop comprehensive reports and dashboards using Tableau to visualize and present data effectively.<br>• Utilize PeopleSoft to extract and manage data for reporting and analytical purposes.<br>• Conduct detailed investigations into suspected fraud cases and provide analytical insights.<br>• Monitor and analyze patterns in fraud analytics to identify risks and recommend solutions.<br>• Collaborate with cross-functional teams to ensure data accuracy and integrity.<br>• Apply anti-fraud measures to detect and prevent fraudulent activities.<br>• Perform thorough data analysis to uncover trends and deliver actionable recommendations.<br>• Maintain documentation of findings and processes to support organizational transparency.<br>• Present findings and recommendations to stakeholders in a clear and concise manner.<br>• Continuously improve reporting processes and tools to enhance data-driven decision-making.
<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>
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.
<p>We are looking for an experienced Senior Data Engineer to join our team in Boston, Massachusetts. In this role, you will be responsible for designing and building a robust data platform from the ground up, playing a pivotal part in shaping the data strategy and supporting AI-driven initiatives. This is a unique opportunity to contribute to the creation of a new data engineering function within a dynamic financial services environment. This role is hybrid, onsite in Boston 3 days a week. </p><p><br></p><p>Responsibilities:</p><p>• Design, develop, and implement a scalable data platform using Microsoft Fabric and other technologies within the Microsoft ecosystem.</p><p>• Collaborate with stakeholders to define the data strategy and implement solutions that align with business goals.</p><p>• Oversee and manage external consultants assisting with the development of the data platform.</p><p>• Support AI enablement initiatives by ensuring the data architecture meets analytical and operational needs.</p><p>• Create and maintain ETL processes to ensure efficient data extraction, transformation, and loading.</p><p>• Optimize database performance across SQL, NoSQL, and other database systems.</p><p>• Utilize Python for data engineering tasks, including scripting and automation.</p><p>• Work closely with IT and analytics teams to ensure seamless integration of the data platform into existing systems.</p><p>• Provide technical leadership and guidance while exploring future opportunities to build and expand the data engineering function.</p><p>• Ensure compliance with industry standards and best practices in data security and management.</p>
We are looking for a skilled Business Analyst to join our team in Watertown, Massachusetts. This is a long-term contract position that requires a proactive, detail-oriented individual with expertise in Salesforce and project coordination. The ideal candidate will excel at working cross-functionally, building user stories, and ensuring seamless collaboration across teams.<br><br>Responsibilities:<br>• Develop detailed user stories to support Salesforce enhancements and modifications.<br>• Analyze and validate data, addressing decision trees and related inquiries.<br>• Coordinate and schedule meetings, including roadshows to facilitate project communication.<br>• Track and manage action items arising from collaborative sessions with stakeholders.<br>• Conduct gap analyses to identify areas for improvement and ensure alignment with business needs.<br>• Review and organize documentation to support decision-making processes.<br>• Facilitate cross-functional collaboration to drive project success.<br>• Provide support in customer service initiatives, particularly in call center environments.
<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>