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data engineer (python & sql) Jobs in Boston

data engineer (python & sql)

data engineer python sql

Data Engineer (Python & SQL)

Yogi Careers

<div>
 <strong>
  <strong>
   Overview:
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  </strong>
 </strong>
 <strong>
  We&rsquo;re looking for a Data Engineer to build and maintain the data infrastructure that powers machine learning initiatives. You&rsquo;ll work at the intersection of software engineering and data science.
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 </strong>
 <strong>
  <strong>
   Responsibilities:
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   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Develop and maintain feature stores and ML-ready datasets
  </li>
  <li>
   Automate data preprocessing pipelines for ML model training and evaluation
  </li>
  <li>
   Collaborate with ML engineers to enable scalable experimentation workflows
  </li>
  <li>
   Monitor and improve data reliability, lineage, and reproducibility
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   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   Requirements:
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   BS/MS in Computer Science, Data Engineering, or similar
  </li>
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   Experience with ML platforms (Databricks, AWS Sagemaker, Vertex AI)
  </li>
  <li>
   Strong Python and SQL skills, with familiarity in Spark or Dask
  </li>
  <li>
   Experience with Airflow, MLflow, or Kubeflow pipelines
  </li>
  <li>
   Solid understanding of MLOps, data validation, and model versioning
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   <br/>
  </li>
 </ul>
 <strong>
  Job Category:
 </strong>
 Data Engineer
 <br/>
 <br/>
 <strong>
  Job Type:
 </strong>
 Full Time
 <br/>
 <br/>
 <strong>
  Job Location:
 </strong>
 Boston
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 <br/>
 Apply for this position
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 Phone *
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 Upload CV/Resume *Allowed Type(s): .pdf, .doc, .docx
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 By using this form you agree with the storage and handling of your data by this website. *
 <br/>
 <br/>
 <strong>
  <strong>
   Responsibilities:
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Develop and maintain feature stores and ML-ready datasets
  </li>
  <li>
   Automate data preprocessing pipelines for ML model training and evaluation
  </li>
  <li>
   Collaborate with ML engineers to enable scalable experimentation workflows
  </li>
  <li>
   Monitor and improve data reliability, lineage, and reproducibility
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   Requirements:
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   BS/MS in Computer Science, Data Engineering, or similar
  </li>
  <li>
   Experience with ML platforms (Databricks, AWS Sagemaker, Vertex AI)
  </li>
  <li>
   Strong Python and SQL skills, with familiarity in Spark or Dask
  </li>
  <li>
   Experience with Airflow, MLflow, or Kubeflow pipelines
  </li>
  <li>
   Solid understanding of MLOps, data validation, and model versioning
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Job Category:
 </strong>
 Data Engineer
 <br/>
 <br/>
 <strong>
  Job Type:
 </strong>
 Full Time
 <br/>
 <br/>
 <strong>
  Job Location:
 </strong>
 Boston
 <br/>
 <br/>
 <strong>
  <strong>
   Responsibilities:
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Develop and maintain feature stores and ML-ready datasets
  </li>
  <li>
   Automate data preprocessing pipelines for ML model training and evaluation
  </li>
  <li>
   Collaborate with ML engineers to enable scalable experimentation workflows
  </li>
  <li>
   Monitor and improve data reliability, lineage, and reproducibility
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   Requirements:
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   BS/MS in Computer Science, Data Engineering, or similar
  </li>
  <li>
   Experience with ML platforms (Databricks, AWS Sagemaker, Vertex AI)
  </li>
  <li>
   Strong Python and SQL skills, with familiarity in Spark or Dask
  </li>
  <li>
   Experience with Airflow, MLflow, or Kubeflow pipelines
  </li>
  <li>
   Solid understanding of MLOps, data validation, and model versioning
  </li>
 </ul>
</div>


Data Engineer – AI/ML Data Infrastructure

<div><p><b>Vice President , Full-Stack Engineer</b></p><p>
At BNY, our culture allows us to run our company better and enables employees&rsquo; growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world&rsquo;s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide.</p><p>
Recognized as a top destination for innovators and champions of inclusion, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance &ndash; and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary.</p><p>
We&rsquo;re seeking a future team member for the role of <b>Vice President , Full-Stack Engineer</b> to join our <b>Asset Servicing Client</b> <b>Platform</b> team. This role is located in <b>Boston, MA</b></p><p>
We are looking for a Full Stack Engineer with strong experience in performance measurement, financial data, and enterprise application development. This role will design and deliver scalable applications, automated solutions, and data products that support decision-making across Technology and Operations.</p><p>
The ideal candidate brings hands-on experience with core financial datasets, including positions, transactions, security master/reference data, FX, corporate actions, vendor benchmarks, and account hierarchies, along with strong technical skills in SQL, Oracle, Python, Java, JavaScript, and Angular. This individual should also be comfortable working with cloud-based datasets, API, XML, JSON data structures, and modern data integration patterns. Experience applying AI-enabled tools or solutions to improve analytics, automation, or operational efficiency is a plus.</p><p>
Experience with the Eagle product, including its data model, integration frameworks, and performance reporting capabilities, is strongly preferred.</p><p><b>
In this role, you&rsquo;ll make an impact in the following ways:</b></p><ul><li>
Design, build, enhance, and support full-stack applications for performance measurement, client reporting, workflow automation, operational processes, and data analysis.</li><li>
Develop scalable solutions across the stack, including user interfaces, APIs, backend services, business logic, and database integrations.</li><li>
Build and maintain responsive, user-friendly applications and dashboards using Angular, TypeScript/JavaScript, and modern UI design principles.</li><li>
Develop and optimize backend services using Java, Spring Boot, Python, SQL, and Oracle, with a focus on performance, reliability, and maintainability.</li><li>
Design and implement RESTful APIs, service integrations, and reusable components to enable interoperability across warehouse, operational, and vendor platforms.</li><li>
Work with complex financial datasets including positions, transactions, reference data, FX, corporate actions, pricing/valuation, and account hierarchies to support reporting and analytics use cases.</li><li>
Implement controls for data quality, reconciliation, exception handling, monitoring, auditability, and operational resilience.</li><li>
Contribute to modern engineering practices including automated testing, CI/CD, code reviews, secure coding, and containerized deployment patterns.</li><li>
Partner closely with product owners, business analysts, QA, architects, and business stakeholders in an Agile delivery model.</li><li>
Support application modernization efforts, including simplification of legacy solutions, improved developer productivity, and opportunities to leverage AI-enabled tools for automation and efficiency.</li><li>
Participate in troubleshooting, root cause analysis, production support, and continuous improvement efforts for business-critical applications.</li></ul><p><b>
To be successful in this role, we&rsquo;re seeking the following:</b></p><ul><li>
7&ndash;10+ years of experience in software engineering, full-stack development, or enterprise application development, preferably in financial services or another highly regulated, data-intensive environment.</li><li>
Strong hands-on experience with Java, Spring Boot, Python, SQL, Oracle, JavaScript, TypeScript, and Angular.</li><li>
Proven experience building and supporting enterprise-grade full-stack applications, including user interfaces, APIs, backend services, and database-driven solutions.</li><li>
Strong experience developing REST APIs, integrating with external/internal platforms, and working with JSON and XML data structures.</li><li>
Advanced SQL and database experience, including query optimization, validation, reconciliation, troubleshooting, and data analysis.</li><li>
Experience with containerization and orchestration technologies such as Docker.</li><li>
Familiarity with CI/CD pipelines, Git-based version control, automated testing, and secure SDLC practices.</li><li>
Experience working with cloud-based data platforms, modern data pipelines, and enterprise integration patterns.</li><li>
Strong understanding of data warehousing concepts, including dimensional modeling, ETL/ELT, and analytics-oriented data structures.</li><li>
Strong analytical, problem-solving, communication, and collaboration skills, with the ability to work effectively across cross-functional teams.</li><li>
Experience working in Agile/Scrum environments.</li></ul><p><b>
Preferred Qualifications</b></p><ul><li>
Experience with the Eagle product suite, including data model, ingestion/enrichment flows, integration frameworks, and performance reporting capabilities.</li><li>
Familiarity with front-, middle-, and back-office processes across asset servicing or asset management.</li><li>
Experience supporting applications tied to performance measurement, attribution, NAV, risk/stat reporting, operational workflows, and client SLA deliverables.</li><li>
Familiarity with cloud platforms such as AWS, Azure, or GCP.</li><li>
Experience with messaging/event-driven technologies such as Kafka, JMS, or MQ.</li><li>
Knowledge of monitoring and observability tools such as Splunk, Grafana, AppDynamics, Dynatrace, or Prometheus.</li><li>
Experience modernizing legacy platforms and improving engineering efficiency through automation and AI-enabled development tools such as GitHub Copilot, Windsurf, Claude Code, or similar platforms.</li><li>
Strong understanding of data quality, lineage, audit trails, and reconciliation controls in enterprise reporting environments.</li></ul><p><b>
At BNY, our culture speaks for itself, check out the latest BNY news at:</b></p><p>
BNY Newsroom</p><p>
BNY LinkedIn</p><p><b>
 Here&rsquo;s a few of our recent awards:</b></p><ul><li>
America&rsquo;s Most Innovative Companies, Fortune, 2025</li><li>
World&rsquo;s Most Admired Companies, Fortune 2025</li><li>
&ldquo;Most Just Companies&rdquo;, Just Capital and CNBC, 2025</li></ul><p>
 <b>Our Benefits and Rewards:</b></p><p>
BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life&rsquo;s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter.</p><p>
BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.<br>
<br>
BNY assesses market data to ensure a competitive compensation package for our employees. The base salary for this position is expected to be between $83,000 and $199,000 per year at the commencement of employment. However, base salary if hired will be determined on an individualized basis, including as to experience and market location, and is only part of the BNY total compensation package, which, depending on the position, may also include commission earnings, discretionary bonuses, short and long-term incentive packages, and Company-sponsored benefit programs.<br>
This position is at-will and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation) at any time, including for reasons related to individual performance, change in geographic location, Company or individual department/team performance, and market factors.</p></div>

Vice President, Full-Stack Engineer

State Street

<div><p>We are seeking an experienced <b>Officer‑level Senior Data Engineer</b> to design, build, and support modern cloud‑based data engineering solutions that enable analytics, reporting, and AI use cases for Sales and Business teams. This role focuses on hands‑on engineering with <b>AWS Cloud,Redshift, Databricks, Snowflake</b>, and modern data pipelines, ensuring high‑quality, secure, and scalable data platforms.</p><p></p><p>
The role requires strong ownership of technical components, independence in execution, and close collaboration with cross‑functional stakeholders while operating as a senior individual contributor.</p><p></p><p><b>
Job Description</b></p><p></p><p><b>
Key Responsibilities &amp; Experience Range</b></p><ul><li>
Design, develop, and support <b>end‑to‑end data pipelines</b> using cloud‑based platforms such as <b>AWS, Redshift ,Databricks, and Snowflake.</b></li><li>
Build scalable data ingestion, transformation, and validation frameworks using <b>Python, SQL, and Shell scripting</b></li><li>
Develop and optimize data pipelines for performance, reliability, and data quality</li><li>
Partner with product owners, analytics teams, and downstream consumers to translate business requirements into technical solutions</li><li>
Support <b>production stability</b>, incident resolution, and root‑cause analysis for data platforms</li><li>
Actively participate in architecture discussions, design reviews, and technical walkthroughs</li><li>
Follow <b>Agile delivery practices</b>, including sprint planning, estimation, and issue tracking using JIRA</li><li>
Ensure compliance with data security, governance, and SDLC standards</li><li>
Continuously identify opportunities to improve efficiency, automation, and platform capability</li><li>
Good Analytical skills to understand the business requirements and translate them into Technical specifications</li><li>
Good hands-on to AWS Data storage products like AWS S3 and Amazon Redshift.</li><li>
Ability to participate in major incident management, production stability, etc as and when required</li><li>
Good Exposure to code versioning tool GIT, Bitbucket and CI/CD Process and project collaboration platform JIRA</li><li>
Excellent verbal and written communication and should be able to work with all the stakeholders.</li><li>
Prior experience on working in Agile project management practices</li></ul><p></p><p><b>
Qualification &amp; Certifications</b></p><ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, or related field.</li><li>
6&ndash;10 years of overall IT experience, with strong focus on <b>Data Engineering</b></li><li>
4+ years of hands‑on experience building data pipelines on <b>cloud platforms</b></li><li>
Proven experience working as a <b>senior data engineer/ETL expert</b> on complex technical problem statements</li><li>
Excellent communication and leadership skills.</li></ul><p></p><p><b>
Primary Skills (Must Have)</b></p><ul><li>
Proficient on designing ,developing and supporting Data pipelines with AWS S3,AWS Redshift, YAML Sripting ,Apache Airflow and Shell Scripting.</li><li>
Solid <b>AWS Cloud</b> experience, including EC2, <b>S3</b>, IAM, and cloud‑based data architectures</li><li>
Proficiency in <b>Python</b> for data engineering and automation</li><li>
Strong <b>SQL</b> skills for data analysis, validation, and performance tuning</li><li>
Experience writing and maintaining <b>Shell scripts</b> for automation and operational support</li><li>
Good understanding of <b>Data Warehousing, Data Lakes, and Data Quality concepts</b></li><li>
Ability to independently analyze requirements and deliver technical solutions</li></ul><p></p><p><b>
Secondary Skills (Good to Have)</b></p><ul><li>
Exposure on AWS Cloud Tech Stack for Data Engineering.</li><li>
Good to have hands on Databricks and Snowflake.</li><li>
Exposure to any financial/asset management domain or sales and marketing would be added advantage.</li><li>
Knowledge of networking fundamentals and key management services</li><li>
Exposure to Complete CI/CD Process for Deployment and Releases.</li><li>
Good understanding/hands-on of application of AI /ML in data engineering and data quality.</li></ul><p></p><p><b>
Salary Range:
</b></p>$70,000 - $118,750 Annual<p></p><p>
The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ.</p><p></p><p><i>
Employees are eligible to participate in State Street&rsquo;s comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages; paid-time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans.</i></p><p><i>
For a full overview, visit </i><i>https://hrportal.ehr.com/statestreet/Home</i><i>.</i></p><p></p><h1 class="jobSectionHeader"><b>
About State Street</b></h1><p></p><p>
Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.</p><p></p><p>
We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you&rsquo;ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.</p><p></p><p>
As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.</p><p></p><p>
Discover more information on jobs at StateStreet.com/careers</p><p></p><p>
Read our CEO Statement</p><p></p><p><b>
Job Application Disclosure:</b><b>
</b></p><p>It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.</p></div>

Senior Data Engineer - Cloud & Analytics, Officer - State Street Investment Management

The Brigham and Women's Hospital, Inc.

<div>Site: The Brigham and Women's Hospital, Inc.<p></p><p><br>
Mass General Brigham relies on a wide range of professionals, including doctors, nurses, business people, tech experts, researchers, and systems analysts to advance our mission. As a not-for-profit, we support patient care, research, teaching, and community service, striving to provide exceptional care. We believe that high-performing teams drive groundbreaking medical discoveries and invite all applicants to join us and experience what it means to be part of Mass General Brigham.</p><p></p><p><b><br>
Job Summary</b></p>
The Trauma Imaging Research and Innovation Center (TIRIC) at Brigham and Women&rsquo;s Hospital seeks a full-time Research Data Analyst with a strong computer science and interests in data engineering, machine learning systems, or applied ML research to join our multidisciplinary research team. TIRIC conducts high-impact, real-world research at the intersection of machine learning, large-scale clinical data, medical imaging, and public health, with close collaboration across Mass General Brigham (MGB), MIT, and select external academic collaborators.<p></p><div><div><div><div><div><div><div><p><b><br>
Qualifications</b></p></div></div></div></div></div></div></div><p>
As a Research Data Analyst, you will play a hands-on technical role with increasing intellectual ownership in building, querying, and analyzing large-scale clinical datasets using Snowflake, SQL, and Python, supporting the development, evaluation, and deployment of machine learning models for conference submissions and peer-reviewed manuscripts within one of the nation&rsquo;s largest healthcare environments. You will work closely with clinicians, data scientists, PhD students, and engineers to translate complex clinical questions into scalable computational pipelines and research outputs.</p><p>
This position offers opportunities to contribute intellectually to study design, methodological development, and scientific writing, with mentorship tailored to candidates planning to pursue PhD or MD&ndash;PhD training in computer science, machine learning, biomedical informatics, or related fields. Research Data Analysts at TIRIC gain direct exposure to real-world clinical data at scale, rigorous applied machine learning research, and collaborative academic environments that support long-term research and academic career development.</p><p>
This role is ideal for a self-driven, technically strong candidate seeking deep exposure to applied machine learning, healthcare data infrastructure, and translational research, without significant direct patient interaction. TIRIC is deeply committed to mentorship and career development, and this role is designed to prepare trainees for careers in academia, biomedical AI, public health, or biomedical research.</p><p></p><p><b>
Responsibilities:</b></p><p></p><p>
Responsibilities include, but are not limited to, the following:</p><p><b>
Data Engineering &amp; Analytics</b></p><ul><li>
Querying and managing large-scale clinical datasets using <b>Snowflake and SQL</b></li><li>
Building reproducible data pipelines using <b>Python </b>and related tools <b>(e.g., Pandas, NumPy)</b></li><li>
Performing data cleaning, validation, quality control, and documentation</li><li>
Organizing multimodal datasets (EMR, imaging-derived variables, clinical outcomes)</li></ul><p><b>
Machine Learning &amp; Modeling</b></p><ul><li>
Supporting and leading development, refinement, and evaluation of machine learning models</li><li>
Debugging and optimizing analytical workflows in collaboration with MIT data scientists</li><li>
Conducting exploratory data analysis and feature engineering</li></ul><p><b>
Research &amp; Reporting</b></p><ul><li>
Analyzing quantitative and qualitative data</li><li>
Generating figures, tables, and summary reports for internal reviews and publications</li><li>
Presenting findings at weekly lab meetings and multidisciplinary forums</li></ul><p><b>
Clinical &amp; Translational Research Support</b></p><ul><li>
Performing structured electronic medical record (EMR) reviews</li><li>
Assisting with coordination of multi-center clinical studies and trials</li><li>
Contributing to protocol development, SOPs, and manuals of operations (MOOPs)</li></ul><p><b>
Scholarly Writing &amp; Regulatory Work</b></p><ul><li>
Assisting in preparation of manuscripts, abstracts, grant proposals, and presentations</li><li>
Conducting literature reviews and synthesizing findings</li><li>
Preparing and submitting materials for the Institutional Review Board (IRB), including amendments and annual reports</li></ul><p><b>
Collaboration &amp; Operations</b></p><ul><li>
Organizing and participating in interdisciplinary meetings with MGB and MIT collaborators</li><li>
Collecting user and clinician feedback via interviews and focus groups</li><li>
Supporting project management tasks such as agendas, documentation, and meeting minutes</li></ul><p><b>
Qualifications</b></p><p><b>
Required</b></p><ul><li>
Bachelor&rsquo;s degree in <b>Computer Science, Data Science, Engineering, Applied Mathematics, or a related field</b></li><li>
Strong working knowledge of <b>SQL</b> and experience querying large relational databases</li><li>
Proficiency in <b>Python</b> for data analysis and machine learning workflows (e.g., PyTorch, Pandas, NumPy)</li><li>
Comfort working with complex, real-world datasets</li></ul><p><b>
Preferred</b></p><ul><li>
Prior experience querying and managing data in Snowflake or comparable cloud-native, distributed analytics platforms</li><li>
Experience with healthcare, EMR, or large administrative datasets</li><li>
Exposure to machine learning, statistics, or computational research</li><li>
Coursework in artificial intelligence, machine learning, deep learning, and/or data science</li><li>
Familiarity with version control (e.g., Git) and reproducible research practices</li></ul><p><b>
Personal Attributes</b></p><ul><li>
Highly motivated, independent, and detail-oriented</li><li>
Strong problem-solving and analytical skills</li><li>
Comfortable working in interdisciplinary teams with clinicians, engineers, and researchers</li><li>
Excellent written and verbal communication skills</li><li>
Interest in healthcare, medicine, public health, or medical AI</li></ul><p><b>
Work Environment &amp; Mentorship</b></p><p></p><p>
TIRIC is an inclusive, collaborative, and intellectually rigorous research environment. Research Assistants receive close mentorship, meaningful technical ownership, and opportunities for co-authorship on publications and grants. Our former Research Assistants, Data Analysts and trainees have gone on to top medical schools, PhD programs, industry research roles, and public health careers.</p><p></p><p>
TIRIC embraces diversity and is committed to building an equal-opportunity team representing a wide range of backgrounds, perspectives, and skills.</p><p></p><div><div><div><div><div><div><div><p><b><br>
Additional Job Details (if applicable)</b></p></div></div></div></div></div></div></div><p><b>
Start date:</b> Spring/Summer 2026 (flexible)</p><p></p><div><div><div><div><div><div><div><p><b><br>
Remote Type</b></p></div></div></div></div></div></div></div>
Onsite<p></p><div><div><div><div><div><div><div><p><b><br>
Work Location</b></p></div></div></div></div></div></div></div>
75 Francis Street<p></p><div><div><div><div><div><div><div><p><b><br>
Scheduled Weekly Hours</b></p></div></div></div></div></div></div></div>
40<p></p><div><div><div><div><div><div><div><p><b><br>
Employee Type</b></p></div></div></div></div></div></div></div>
Regular<p></p><div><div><div><div><div><div><div><p><b><br>
Work Shift</b></p></div></div></div></div></div></div></div>
Day (United States of America)<p></p><p><b><br>
Pay Range</b></p>
$41,932.80 - $60,340.80/Annual<p></p><p><b><br>
Grade</b></p>
5<br>
<p></p>
At Mass General Brigham, we believe in recognizing and rewarding the unique value each team member brings to our organization. Our approach to determining base pay is comprehensive, and any offer extended will take into account your skills, relevant experience if applicable, education, certifications and other essential factors. The base pay information provided offers an estimate based on the minimum job qualifications; however, it does not encompass all elements contributing to your total compensation package. In addition to competitive base pay, we offer comprehensive benefits, career advancement opportunities, differentials, premiums and bonuses as applicable and recognition programs designed to celebrate your contributions and support your professional growth. We invite you to apply, and our Talent Acquisition team will provide an overview of your potential compensation and benefits package.<p></p><div><div><div><div><div><div><div><p><b><br>
EEO Statement:</b></p></div></div></div></div></div></div></div>
2200 The Brigham and Women's Hospital, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, national origin, sex, age, gender identity, disability, sexual orientation, military service, genetic information, and/or other status protected under law. We will ensure that all individuals with a disability are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. To ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Veteran&rsquo;s Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact Human Resources at (857)-282-7642.<p></p><h2 class="jobSectionHeader"><b><br>
Mass General Brigham Competency Framework</b></h2><div><div><p>
At Mass General Brigham, our competency framework defines what effective leadership &ldquo;looks like&rdquo; by specifying which behaviors are most critical for successful performance at each job level. The framework is comprised of ten competencies (half People-Focused, half Performance-Focused) and are defined by observable and measurable skills and behaviors that contribute to workplace effectiveness and career success. These competencies are used to evaluate performance, make hiring decisions, identify development needs, mobilize employees across our system, and establish a strong talent pipeline.</p></div></div></div>

Research Data Analyst, Radiology TIRIC

Plymouth Rock Assurance

<div><p><b>Artificial Intelligence Intern</b></p>
<p>
</p><p>We are seeking motivated Artificial Intelligence engineering interns to gain hands-on experience deploying artificial intelligence systems while working alongside experienced AI professionals. This internship offers exposure to real-world AI applications, meaningful project contributions, and mentorship designed to help build strong technical and professional foundations. The ideal candidate is curious, eager to learn, and passionate about AI and emerging technologies.</p>
<p>
</p><p><b>Essential Functions and Responsibilities:</b></p>
<ul>
<li>Assist in developing, testing, and optimizing deployed AI systems</li>
<li>Support research on AI algorithms, tools, and best practices</li>
<li>Collaborate with software engineering and product teams</li>
<li>Document code, experiments, and technical findings</li>
<li>Participate in team meetings, code reviews, and learning sessions</li>
<li>Tech Stack: Python, SQL/NoSQL, AWS</li>
</ul>
<p><b>Qualifications and Education:</b></p>
<ul>
<li>Currently pursuing a degree in Computer Science, AI, Data Science, Engineering, or a related field</li>
<li>Basic understanding of AI concepts</li>
<li>Actively leverages LLM tools to enhance decision-making, creativity, and
</li><li>operational effectiveness</li>
<li>Experience with at least one programming language (Python preferred)</li>
<li>Familiarity with data analysis tools (Pandas, NumPy)</li>
<li>Strong problem-solving, communication, and teamwork skills</li>
</ul>
<p><b>Nice to Have:</b></p>
<ul>
<li>Experience with ML libraries ( PyTorch, scikit-learn) and/or LLM APIs (OpenAI, Anthropic, Google)</li>
<li>Exposure to LLM toolkits (e.g., LangChain, Amazon Bedrock)</li>
<li>Knowledge of Git, REST APIs, and AWS</li>
<li>Personal or academic AI/ML projects</li>
</ul>
<p>Pay Rate: The pay range for this position is $25-$30 per hour. Actual compensation will vary based on multiple factors, including employee knowledge and experience, role scope, business needs, geographical location, and internal equity.</p>
<p>
</p><p><b>Why work for us:</b></p>
<ul>
<li>Friendly and collaborate work culture</li>
<li>Free On-site gym access</li>
<li>Free Coffee and Snacks</li>
<li>Company social events</li>
<li>Lunch and Learn Leadership program</li>
<li>Business Casual (Can wear jeans and sneakers!)</li>
<li>Convenient Location &ndash; across from South Station!</li>
</ul>
<p><b>About the Company:</b></p>
<p><i>
The Plymouth Rock Company and its affiliated group of companies write and manage over $2.2 billion in personal and commercial auto and homeowner's insurance throughout the Northeast and mid-Atlantic, where we have built an unparalleled reputation for service. We continuously invest in technology, our employees thrive in our empowering environment, and our customers are among the most loyal in the industry. The Plymouth Rock group of companies employs more than 2,000 people and is headquartered in Boston, Massachusetts. Plymouth Rock Assurance Corporation holds an A.M. Best rating of &ldquo;A-/Excellent&rdquo;.</i></p>
<p><i>
</i></p><p>#LI-DNI</p></div>

Artificial Intelligence Intern

Daley And Associates, LLC

<div>
 <span>
  <span>
   <strong>
    <u>
     Senior Investment Operations Analyst - Boston, MA (Hybrid, Contract)
     <br/>
     <br/>
    </u>
   </strong>
   <br/>
   We are currently seeking candidates for an Investment Operations Analyst opportunity with a highly successful Investment Management firm located in Boston, MA. The Investment Operations Analyst will conduct portfolio accounting, support trade operations, perform reconciliations, and promote strong vendor relations. The ideal candidate will have 3+ years of experience in investment operations, portfolio administration, and reconciliation in investment management or the financial services industry.
   <br/>
   <br/>
   <strong>
    Compensation:&nbsp;
   </strong>
   $35&mdash;$45/hour (depending on experience)&nbsp;
   <br/>
  </span>
 </span>
 <span>
  <span>
   <strong>
    Location:
   </strong>
   &nbsp;Boston, MA
   <br/>
   <strong>
    Work-Model:
   </strong>
   Hybrid (4 days onsite, 1 day remote)
   <br/>
   <strong>
    Duration:&nbsp;
   </strong>
   8+ month contract with potential to extend
   <br/>
   <br/>
   <strong>
    Responsibilities:
   </strong>
  </span>
 </span>
 <ul>
  <li>
   <span>
    <span>
     Maintain and verify cash transactions by accurately inputting data into the portfolio accounting system.
    </span>
   </span>
  </li>
  <li>
   <span>
    <span>
     Manage the flow of trade data from trading desks, ensuring settlement details are received, verified, and properly recorded.
    </span>
   </span>
  </li>
  <li>
   <span>
    <span>
     Facilitate the seamless transformation of trade information into the accounting platform and ensure timely reporting of trade details to custodians.
    </span>
   </span>
  </li>
  <li>
   <span>
    <span>
     Support the upkeep of securities data, including maintaining accurate security characteristics and market prices for reliable appraisal valuations and performance measurements.
    </span>
   </span>
  </li>
  <li>
   <span>
    <span>
     Perform daily reconciliation of holdings and transactions across internal systems and custodian banks, ensuring discrepancies are documented and promptly resolved.
    </span>
   </span>
  </li>
  <li>
   <span>
    <span>
     Generate and distribute reconciliation reports for both internal teams and external stakeholders using a variety of system tools.
    </span>
   </span>
  </li>
  <li>
   <span>
    <span>
     Produce standard and customized (ad hoc) reports to fulfill both internal operational needs and external client or regulatory requests.
    </span>
   </span>
  </li>
  <li>
   <span>
    <span>
     Build and maintain strong relationships with vendors, custodians, and other financial institutions, proactively addressing service issues and staying informed about market and industry developments.
    </span>
   </span>
  </li>
 </ul>
 <span>
  <span>
   <strong>
    Qualifications:
   </strong>
  </span>
 </span>
 <ul>
  <li>
   <span>
    <span>
     Bachelor&rsquo;s degree in Finance, Economics, or Business.
    </span>
   </span>
  </li>
  <li>
   <span>
    <span>
     3+ years of experience in investment operations, with a strong focus on reconciliations.
    </span>
   </span>
  </li>
  <li>
   <span>
    <span>
     Proficiency with Microsoft Excel for data analysis and reporting, professional exposure to SQL or Python is a plus.
    </span>
   </span>
  </li>
  <li>
   <span>
    <span>
     Solid understanding of fixed income and equity securities.
    </span>
   </span>
  </li>
  <li>
   <span>
    <span>
     Exceptional analytical thinking, problem-solving abilities, and organizational skills.
    </span>
   </span>
  </li>
  <li>
   <span>
    <span>
     Outstanding written and verbal communication skills, with the ability to efficiently manage a high volume of email correspondence.
    </span>
   </span>
  </li>
  <li>
   <span>
    <span>
     Capable of working independently with minimal supervision, while also thriving in a collaborative remote or hybrid team environment.
     <br/>
    </span>
   </span>
  </li>
 </ul>
 <span>
  <span>
   For immediate consideration, interested and qualified candidates should send their resume to Jackson at jnichols@daleyaa.com.
   <br/>
   <br/>
  </span>
 </span>
</div>


Senior Investment Operations Analyst – Reconciliations & Trade Support

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