software engineer

data engineer

senior data engineer

data architect, data foundry Jobs in Boston

data architect, data foundry

data engineer ii

lead data engineer

Hasbro, Inc.

<div><div><p>Hasbro is a leading games, IP and toy company whose mission is to create joy and community through the magic of play. With 165 years of expertise, Hasbro delivers groundbreaking play experiences and reaches more than 1 billion fans annually around the world, through physical and digital games, video games, toys, licensed consumer products, location-based entertainment, film, TV and more.
</p></div><div><p>Through its franchise-first approach, Hasbro unlocks value from both new and legacy IP, including MAGIC: THE GATHERING, DUNGEONS &amp; DRAGONS, MONOPOLY, HASBRO GAMES, NERF, TRANSFORMERS, PLAY-DOH and PEPPA PIG, as well as premier partner brands. Powered by its portfolio of thousands of iconic marks and a diversified network of partners and subsidiary studios, Hasbro brings fans together wherever they are, from tabletop to screen.
</p></div><div><p>For more than a decade, Hasbro has been consistently recognized for its corporate citizenship, including being named one of the 100 Best Corporate Citizens by 3BL Media, a 2025 JUST Capital Industry Leader, one of the 50 Most Community-Minded Companies in the U.S. by the Civic 50, and a Brand that Matters by Fast Company.</p></div><p>
We are expanding our Data Engineering team! We are looking for someone to help drive how data enables our products, entertainment, and consumer experiences. This is a high-impact role for a practical technical leader who enjoys building scalable data products while mentoring engineers and influencing how the team delivers.</p><p>
The focus of this role is to deliver scalable, reliable, and trusted data products that support analytics, data science, and business decision-making across the enterprise. You&rsquo;ll help guide the development of production-grade data workflows and transformations, ensuring data products are high quality, well-governed, performant, and easy for teams across the organization to use.</p><p><b><br>
What You&rsquo;ll Do</b></p><ul><li>
Lead and develop a team of data engineers, modeling engineering excellence, ownership, and continuous improvement through day-to-day work.</li><li>
Design, build, and optimize scalable data pipelines, transformations, and data models that underpin analytics and data products.</li><li>
Own end-to-end delivery of data engineering initiatives, from technical design and planning through production rollout and ongoing support.</li><li>
Provide hands-on technical leadership through code contributions, architectural decisions, and the adoption of engineering standard methodologies such as CI/CD, automated testing, observability, and documentation.</li><li>
Partner closely with product managers, data scientists, analysts, and business partners to deliver high-quality, consumable data products.</li><li>
Serve as a technical leader in agile delivery, supporting sprint planning, backlog refinement, estimation, and cross-team coordination.</li></ul><p><b><br>
What You&rsquo;ll Bring</b></p><ul><li>
Experience building and delivering data engineering capabilities while leading or mentoring data engineers.</li><li>
Strong hands-on expertise with Databricks and DBT as well as cloud data platforms such as Azure and/or AWS.</li><li>
Deep proficiency in SQL, data modeling, and Python (or similar language).</li><li>
Proven ability to deliver end-to-end data products, from build through production deployment and support.</li><li>
Working knowledge of data governance fundamentals, including data quality, metadata, and lineage.</li><li>
Strong communication skills and the ability to influence technical direction across diverse partners.</li></ul><div><p><b>
We are an Equal Opportunity / Affirmative Action Employer</b></p></div><div><p>
Hasbro is committed to equality of opportunity in all aspects of employment. We are committed to making all employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, or any other legally protected status.</p></div><div><p>
We will ensure that individuals with disabilities are provided 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. If you have a disability and require assistance in this application process and need to request an accommodation, please contact your recruiter or coordinator.</p></div></div><p></p>

Lead Data Engineer

American Family Insurance

<div>This position collects, stores, processes and builds applications within our big data platform. Responsible for integrating these applications with the architecture used across the organization.<p></p><p>
Position Compensation Range:</p>
$131,000.00 - $220,000.00<p></p><p>
Pay Rate Type:</p>
Salary<p></p><p><i>
Compensation may vary based on the job level and your geographic work location. </i><i>Relocation support is offered for eligible candidates.</i></p><p></p><p><b>
This position has approval to transfer a valid H1 visa.</b><b> </b><b>However does not have approval for sponsorship now or in the future, including for F-1 OPT (standard or STEM extension). We will evaluate work authorization based only on a candidate&rsquo;s current, documented authorization to work in the United States.</b></p><p></p><div><b>
Primary Accountabilities</b><br>
<ul><li>Leads an engineering team to meet project deadlines and priorities.</li><li>Supervises assigned data engineering team members &amp; activities.</li><li>Ensures the quality, completeness, security, privacy, and integrity of data throughout the data lifecycle.</li><li>Documents critical workflows and operational support aspects of team&rsquo;s responsibilities</li><li>Develops deep understanding of data sources, granularity, availability, and limitations.</li><li>Provides proactive technical oversight and advice to application architecture and development teams fostering re-use, design for scale, stability, and operational efficiency of data/analytical solutions.</li><li>Creates maintainable, scalable code to load and manipulate data in the data warehouse.</li><li>Facilitates communication upward and across project teams and business stakeholders.</li></ul><br>
<b>
Specialized Knowledge &amp; Skills Requirements</b><br>
<ul><li>Demonstrated experience providing customer-driven solutions, support or service.</li><li>In-depth knowledge of SQL or NoSQL and experience using a variety of data stores (e.g. RDBMS, analytic database, scalable document stores)</li><li>Extensive hands-on Python programming experience, with an emphasis towards building ETL workflows and data-driven solutions.</li><li>Able to employ design patterns and generalize code to address common use cases.
</li><li>Capable of authoring robust, high quality, reusable code and contributing to the division&rsquo;s inventory of libraries.</li><li>Expertise in big data batch computing tools (e.g. Hadoop or Spark), with demonstrated experience developing distributed data processing solutions.</li><li>Applied knowledge of cloud computing (AWS, GCP, Azure).</li><li>Knowledge of open source machine learning toolkits, such as sklearn, SparkML, or H2O.</li><li>Solid data understanding and business acumen in the data rich industries like insurance or financial</li><li>Applied knowledge of data modeling principles (e.g. dimensional modeling and star schemas).</li><li>Strong understanding of database internals, such as indexes, binary logging, and transactions.</li><li>Experience using tools for infrastructure-as-code (e.g. Docker, CloudFormation, Terraform, etc.)</li><li>Experience with software engineering tools and workflows (i.e. Jenkins, CI/CD, git).</li><li>Practical experience authoring and consuming web services.</li></ul><br>
Licenses:<br>
<ul><li>Not Applicable.</li></ul><br>
Travel Requirements<br>
<ul><li>Up to 10%.</li></ul><br>
Physical Requirements<br>
<ul><li>Work that primarily involves sitting/standing.</li></ul><br>
Working Conditions<br>
<ul><li>Not Applicable.</li></ul></div><p></p><h3 class="jobSectionHeader"><b>
Additional Information</b></h3><ul><li><p>
Offer to selected candidate will be made contingent on the results of applicable background checks</p></li><li><p>
Offer to selected candidate is contingent on signing a non-disclosure agreement for proprietary information, trade secrets, and inventions</p></li><li><p>
Sponsorship will not be considered for this position unless specified in the posting</p></li></ul><p></p><p>
We provide benefits that support your physical, emotional, and financial wellbeing. You will have access to comprehensive medical, dental, vision and wellbeing benefits that enable you to take care of your health. We also offer a competitive 401(k) contribution, a pension plan, an annual incentive, 9 paid holidays and a paid time off program (23 days accrued annually for full-time employees). In addition, our student loan repayment program and paid-family leave are available to support our employees and their families. Interns and contingent workers are not eligible for American Family Insurance Group benefits.</p><p></p><p>
We are an equal opportunity employer. It is our policy to comply with all applicable federal, state and local laws pertaining to non-discrimination, non-harassment and equal opportunity. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.</p><p></p><p>
American Family Insurance is committed to the full inclusion of all qualified individuals. If a reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please email AskHR@AmFam.com to request a reasonable accommodation.</p><p></p>
#LI-BC2</div>

The Brattle Group, Inc.

<div><div><p>The Brattle Group, a privately held, global economics consulting firm, is looking for a <b>Senior Data Engineer (Applied AI/ML) </b>to join our<b> Boston, MA </b>office. The Senior Data Engineer at Brattle has a dual role spanning both client-facing project work and substantial internal research and development. The role sits at the intersection of data engineering, applied machine learning, and analytical consulting. Senior Data Engineers translate complex client questions and messy real-world data into defensible analytical approaches, exercising judgment about when classical statistical methods, machine learning techniques, or newer approaches such as generative AI are appropriate.</p>
<p>
On client engagements, Senior Data Engineers define technical approaches, lead analytical workstreams, and make key implementation decisions while collaborating closely with Principals, consultants, and subject-matter experts. They evaluate modeling strategies, articulate technical trade-offs, and guide teams toward practical solutions that hold up under real-world data and time constraints.</p>
<p>
Beyond project delivery, the role contributes significantly to internal research and development focused on expanding the team&rsquo;s analytical capabilities. This includes researching and prototyping new methods, tools, and workflows across structured and unstructured data, including text analysis, vector-based methods, and LLM-enabled approaches, and helping transition promising prototypes into approaches that can be applied in client work.</p>
<p>
The role emphasizes modeling judgment, feature design, and evaluation rather than routine pipeline construction, building on Brattle&rsquo;s existing work in Python-based machine learning, unstructured data analysis, and generative AI workflows.</p><br>
<p></p>
<p><b>
Some of the day-to-day responsibilities of this role include:</b></p>
<ul>
<li>Define and lead technical workstreams for client and internal projects, including selecting analytical approaches, evaluating modeling strategies, and determining appropriate tools and methods for the problem context</li>
<li>Triage and assess incoming client data from a wide range of sources and maturity levels, determining data readiness, required normalization, and appropriate analytical paths</li>
<li>Exercise independent judgment in ambiguous situations, evaluating competing analytical approaches and technical trade-offs, and articulating clear recommendations to project teams, Principals, and clients</li>
<li>Translate complex client questions and messy real-world data into appropriate analytical methods, determining when classical statistical methods, machine learning techniques, generative AI workflows, or simpler approaches are warranted</li>
<li>Research, prototype, and evaluate new analytical methods, tools, or workflows that expand the team&rsquo;s capabilities, particularly in areas such as text analysis, unstructured data, vector-based methods, and LLM-enabled workflows</li>
<li>Develop proof-of-concept analyses and models, and structure handoff plans for junior engineers to implement, refine, and scale where appropriate</li>
<li>Review code submitted by engineers, providing technical feedback and guidance on design, modeling choices, and maintainability</li>
<li>Write reproducible Python-based analyses for data processing, unstructured data exploration, modeling, and evaluation</li>
<li>Contribute to internal documentation, training, and knowledge sharing, helping establish recommended practices and reusable analytical approaches</li>
<li>Coordinate with IT as needed on software licensing, tooling evaluation, and deployment of new analytical technologies</li></ul><br>
<p></p>
<p><b>
THE CANDIDATE</b></p>
<ul>
<li>Bachelor&rsquo;s Degree in Computer Science, Computer Engineering, or related field; advanced degree is a plus</li>
<li>4&ndash;7 years of professional experience in data engineering, analytics, or related technical roles</li>
<li>Proven track record delivering complex, ambiguous data projects, including selecting approaches and managing trade-offs</li>
<li>Demonstrated ability to research and pilot new technologies or methodologies</li>
<li>Strong proficiency in Python for data processing, automation, exploratory analysis, and modeling</li>
<li>Applied machine learning experience, including evaluating and contrasting modeling approaches (e.g., classification, ranking, clustering, vector-based methods, and generative AI techniques) based on problem context, data quality, and practical constraints</li>
<li>Experience with feature design, model evaluation, and interpretation using real, messy datasets</li>
<li>Experience working with structured and unstructured data sources, including text-heavy datasets and heterogeneous data environments</li>
<li>Proficiency in SQL and relational data concepts, including joins, aggregation, and performance-aware querying</li>
<li>Familiarity with cloud platforms such as Azure (or comparable environments) for data storage, compute, and analytical workflows</li>
<li>Hands-on experience with version control (Git) and collaborative development practices</li>
<li>Ability to select appropriate tools, analytical approaches, and modeling strategies based on the problem context and available data</li>
<li>Strong mentorship and coaching skills, including reviewing code and providing feedback to junior team members</li>
<li>Excellent written and verbal communication skills for both technical and non-technical audiences</li>
<li>Effective at cross-functional collaboration, coordinating with other teams (IT, DevOps, consulting)</li>
<li>Ability to translate complex technical concepts into actionable solutions</li></ul><br>
<p></p>
<p><i>
Brattle offers a competitive benefits package, base salary, and bonus program for eligible roles based on individual and firm performance. The anticipated base gross salary range for this position in Boston, MA is $125,000 - $135,000 annually. Actual salary will depend on a variety of factors, including experience and training.</i></p><br>
<p></p>
<p><i>
This position is not eligible for immigration sponsorship.</i></p><br>
<p></p>
<p><b>
EQUAL OPPORTUNITY</b></p>
<p>
The Brattle Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, citizenship status, national origin, ancestry, sex, gender identity and expression, age, height, weight, domestic partner status, Acquired Immune Deficiency Syndrome or HIV status (AIDS/HIV status), genetic information, sexual orientation, disability (where the applicant or employee is qualified to perform the essential functions of the job with or without reasonable accommodation), marital status, veteran status, political affiliation, drug or alcohol abuse or alcoholism, or any other characteristic protected under applicable law.</p><br>
<p></p>
<p>
We encourage all applicants to click here to review our full Equal Employer Opportunity Statement.</p></div><p></p><div><p><b><br>
THE EMPLOYER</b></p>
<p>
The Brattle Group answers complex economic, finance, and regulatory questions for corporations, law firms, and governments around the world. We are distinguished by the clarity of our insights and the credibility of our experts, which include leading international academics and industry specialists. Brattle has 500 talented professionals across North America, Europe, and Asia-Pacific. For more information, please visit brattle.com.</p></div></div><p></p>

Senior Data Engineer (Applied ML / Analytics) New

Daley And Associates, LLC

<div>
 <span>
  <strong>
   Senior Data Engineer &ndash; Enterprise Data Platform (Microsoft Fabric)
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  Daley and Associates is seeking a Senior Data Engineer for an investment management client to help architect and scale its enterprise data platform built on Microsoft Fabric. This individual contributor will design foundational data architecture, establish governance standards, and ensure a scalable, secure ecosystem supporting analytics, reporting, and AI initiatives.
  <br/>
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   This role has a base salary range of $135,000.00 to $175,000.00.
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   Key Responsibilities
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    Architect and enhance a Fabric-based platform using OneLake, Lakehouses, Warehouses, Pipelines, and Spark.
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  </li>
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   <span>
    Define architectural standards, governance frameworks (data quality, lineage, metadata, access), and best practices.
   </span>
  </li>
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    Translate business needs into scalable Fabric-native solutions.
   </span>
  </li>
  <li>
   <span>
    Oversee external engineering partners through design reviews and quality assurance.
   </span>
  </li>
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    Drive adoption of modern Fabric capabilities and reduce legacy Azure patterns.
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    Partner with business teams to deliver high-impact data products.
   </span>
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    Guide enterprise Power BI practices, including semantic modeling, Direct Lake strategy, performance, and governance.
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    Contribute hands-on to prototypes, frameworks, and critical components.
   </span>
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   <span>
    Mentor engineers and collaborate with cloud/security teams on platform resilience and compliance.
   </span>
  </li>
 </ul>
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  <strong>
   Qualifications
  </strong>
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  <li>
   <span>
    7+ years in data engineering, analytics engineering, or software engineering.
   </span>
  </li>
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   <span>
    Experience building enterprise-scale data platforms and guiding distributed engineering teams.
   </span>
  </li>
  <li>
   <span>
    Strong ability to translate business requirements into technical architecture.
   </span>
  </li>
  <li>
   <span>
    Deep expertise with Microsoft Fabric, OneLake, Spark, SQL, Python, and Power BI semantic modeling.
   </span>
  </li>
  <li>
   <span>
    Knowledge of dimensional modeling and modern analytics data design.
   </span>
  </li>
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    Experience modernizing Azure-based data environments into Fabric-first architectures.
   </span>
  </li>
 </ul>
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  <strong>
   Preferred
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  <li>
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    Familiarity with Azure services (Synapse, ADF, ADLS), SaaS/API integrations, data governance frameworks, and Agile delivery models.
   </span>
  </li>
 </ul>
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  <span>
   <span>
    For immediate consideration, please email a resume to Ryan at rhult@daleyaa.com with the subject line &ldquo;Sr. Data Engineer &ndash; Boston, MA&rdquo;.
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 IND123
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Senior Data Engineer

Wellington Management

<div></div><div><div>About Us</div><div></div><div>
Wellington Management offers comprehensive investment management capabilities that span nearly all segments of the global capital markets. Our investment solutions, tailored to the unique return and risk objectives of institutional clients in more than 60 countries, draw on a robust body of proprietary research and a collaborative culture that encourages independent thought and healthy debate. As a private partnership, we believe our ownership structure fosters a long-term view that aligns our perspectives with those of our clients.</div><div></div><div>
About the Role</div><div></div><div><div>
Lead Market Data Systems Engineer, Technology Data &amp; Data Access</div></div><div></div><div>
Job Summary</div><div></div><div>
The successful candidate will manage critical aspects of Market Data, Trader Voice, and Trading Core Infrastructure technologies and will report directly to the Manager of Core Transactional Technologies. This role requires close collaboration with vendors and IT teams to resolve technical issues and drive strategic initiatives within Market Data and Trading Technology. The position is based in Boston, with regular attendance required at our Needham, MA office.</div><div></div><div>
Key Responsibilities</div><div></div><div>
As a Lead Systems Engineer, you play a critical role in shaping and sustaining the firm&rsquo;s core technology environment. You drive strategic initiatives, lead complex, cross‑functional programs, and ensure the reliable delivery and continuous improvement of mission‑critical Trading and Investor services.</div><ul><li><div>
Analyze enterprise‑wide business and information requirements, recommending scalable, firm‑wide system solutions.</div></li><li><div>
Lead the planning, execution, and delivery of major technology programs and business initiatives.</div></li><li><div>
Architect, design, and implement high‑impact, mission‑critical systems supporting core Trading and Investor platforms.</div></li><li><div>
Partner with engineering leads, managers, and business stakeholders across the organization to align technology outcomes with strategic objectives.</div></li><li><div>
Define and maintain technical roadmaps for IT initiatives, platform modernization, and infrastructure improvements.</div></li><li><div>
Collaborate with team leads and management to deliver IT services and proprietary products with high availability and performance.</div></li><li><div>
Develop feasibility studies, project plans, and detailed time and cost estimates to support informed decision‑making.</div></li><li><div>
Identify root causes of complex technical issues and clearly communicate remediation and risk‑mitigation strategies to stakeholders.</div></li><li><div>
Ensure adherence to IT governance frameworks, including Change Control, Architecture Review, Incident Management, and IT Security controls.</div></li><li><div>
Participate in a 24x7 on‑call rotation to support production systems and ensure operational stability.</div></li></ul><div></div><div>
Qualifications</div><div></div><div>
The ideal candidate brings a strong professional background with deep technical expertise and hands-on experience supporting market data and trading technologies. Success in this role requires a blend of advanced technical skills, analytical problem-solving, and a strong commitment to exceptional client service. The candidate must be comfortable operating in a fast-paced, collaborative, and globally distributed environment while managing complex systems and stakeholder relationships.</div><ul><li><div>
Bachelor&rsquo;s degree or equivalent required; Computer Science or related field preferred.</div></li><li><div>
5+ years of experience in financial services or a related industry preferred.</div></li><li><div>
Strong customer service orientation with the ability to independently troubleshoot and resolve diverse technology issues.</div></li><li><div>
Exceptional project management, client support, and relationship management skills.</div></li><li><div>
Proven ability to manage vendors and third-party service providers effectively.</div></li><li><div>
Proven ability to deliver in a global environment.</div></li><li><div>
Experience with market data/trading applications, vendor feeds, and infrastructure.</div></li><li><div>
Working knowledge and experience with market data, trading platforms and services, including but not limited to: Bloomberg and B-Pipe Datafeeds, FactSet, LSEG Refinitiv, Flextrade, Tradeweb, Liquidnet, BIDS, BlockCross, DTCC Services (Mortgage-Backed Securities, EPN), TNS, BT Radianz.</div></li><li><div>
Demonstrated knowledge in market data delivery models, security identifiers, and entitlement management, with solid market knowledge spanning Equities, Fixed Income, FX, Commodities, Derivatives, and Private Funds.</div></li><li><div>
Proficiency in one or more programming languages preferred: Python, Java, C++, or JavaScript.</div></li><li><div>
Experience with Linux and Windows operating systems.</div></li><li><div>
Experience leveraging AI productivity tools (e.g., Copilot, Claude) to improve efficiency and operational outcomes.</div></li><li><div>
Hands-on experience building, deploying, and operating applications and services in cloud environments, including AWS and/or Azure, preferred.</div></li><li><div>
Ability to design and maintain business intelligence dashboards using tools such as Power BI or Tableau.</div></li><li><div>
Solid understanding of TCP/IP, routing protocols, and information security; hands-on network experience is a plus.</div></li><li><div>
Working knowledge of SQL and database management.</div></li><li><div>
Knowledge of trader voice, trading turrets, and voice recording is a plus.</div></li><li><div>
In-depth knowledge of TCP/IP, routing protocols, and information security (hands-on network experience preferred).</div></li><li><div>
Excellent interpersonal skills; able to build effective relationships, demonstrate customer focus, and manage vendors.</div></li></ul><div></div><div>
Personal Characteristics</div><ul><li><div>
Demonstrates strong analytical problem‑solving and sound decision‑making capabilities in complex, high‑impact environments.</div></li><li><div>
Excellent written and verbal communication skills, with the ability to convey technical concepts clearly to both technical and non‑technical audiences.</div></li><li><div>
Highly developed interpersonal skills with a consistent, customer‑focused mindset.</div></li><li><div>
Builds trusted, collaborative relationships across technology, business, and vendor teams.</div></li><li><div>
Operates autonomously with minimal supervision while maintaining accountability and delivery excellence.</div></li><li><div>
Provides technical leadership, thought partnership, and subject‑matter expertise.</div></li><li><div>
Effectively manages complex, broad‑scope responsibilities spanning multiple initiatives or workstreams.</div></li><li><div>
Contributes to strategic planning, technical direction, and enterprise‑level decision‑making.</div></li><li><div>
May lead project outcomes and/or manage or mentor team members.</div></li><li><div>
Collaborative and team‑oriented, with the ability to influence without authority.</div></li><li><div>
Demonstrates a strong independent work ethic and ownership mentality.</div></li><li><div>
Maintains a strategic, enterprise‑focused perspective while executing at a detailed level.</div></li><li><div>
Manages multiple project components concurrently, balancing priorities and dependencies.</div></li><li><div>
Thoroughly documents systems, environments, and operational processes to support sustainability and knowledge sharing.</div></li><li><div>
Highly disciplined, adaptable, and responsive to change in fast‑paced environments.</div></li><li><div>
Documents environments and processes thoroughly.</div></li><li><div>
Highly disciplined and adaptable to change.</div></li></ul><div></div><div>
About Us</div><div></div><div>
Wellington Management Company, LLP is committed to building a diverse and inclusive workforce. We value innovation, collaboration, and a passion for excellence in everything we do.</div><div></div><div>
Not sure you meet 100% of our qualifications? That&rsquo;s ok. If you believe that you could excel in this role, we encourage you to apply and welcome a chance to review your background. We are dedicated to building and maintaining a diversified workforce and considering a broad array of candidates with a variety of skill, workplace experiences, and backgrounds.</div><div></div><div><i>
As an equal opportunity employer, Wellington Management ensures that all qualified applicants will receive equal consideration for employment without regard to </i><i>r</i><i>ace, color, sex, sexual orientation, gender identity, gender expression, religion, creed, national origin, age, ancestry, disability (physical or mental), medical condition, citizenship, marital status, pregnancy, veteran or military status, genetic information or any other characteristic</i><i> protected by applicable law</i><i>.</i><i> If you are a candidate with a disability, or are assisting a candidate with a disability, and require an accommodation to apply for one of our jobs, please email us at </i><div><i>GMWTalentOperations@wellington.com</i></div><i>.</i></div><div></div><div>
At Wellington Management, our approach to compensation is designed to help us attract, inspire and retain the best talent in our industry. We strive to pay employees fairly and competitively across all levels and roles. Our approach to compensation considers all aspects of total compensation; all employees are eligible to receive salary, variable compensation, and benefits. The base salary range for this position is:</div>
USD 90,000 - 180,000<div><div>
This range takes into account the wide range of factors that are considered when making compensation decisions, including but not limited to skill sets; role; skills and experience; certifications; and education. This range is an estimate, and further details on salary and total compensation aspects will be shared with candidates during the recruitment process.</div></div><div></div><div><div><br>
Base salary is only one component of Wellington&rsquo;s total compensation approach. Other rewards may include a discretionary Corporate Bonus and/ or Incentives, if eligible. In addition, we offer a comprehensive and high value benefit package to meet the unique needs of our employees and their families, and we are committed to fostering a flexible work environment that enables employees to thrive personally and professionally. Examples of our benefits include retirement plan, health and wellbeing, dental, vision, and pharmacy coverage, health savings account, flexible spending accounts and commuter program, employee assistance program, life and disability insurance, adoption assistance, back-up childcare, tuition/CFA reimbursement and paid time off (leave of absence, paid holidays, volunteer, sick and vacation time)</div><div></div><div>
We believe that in person interactions inspire and energize our community and are essential to our culture. In support of this commitment, our employees work from our offices 4 days a week with flexibility to work remotely 1 day a week. We believe that this approach ultimately supports our mission to deliver investment excellence to our clients and their beneficiaries over the long term.</div></div></div>

Lead Market Data Systems Engineer, Technology Data & Data Access

REsurety

<div><h4 class="jobSectionHeader"><b>Position Overview</b></h4><p>
As a Staff Machine Learning Engineer at REsurety, you&rsquo;ll be a technical leader responsible for the architecture, maintenance, and rigorous validation of the models and tools that power REsurety&rsquo;s core business. At the Staff level, you are an expert practitioner and a strategic thinker. You will lead the development of sophisticated software that characterizes risk and accelerates the global development of clean energy, serving as a bridge between research, power markets, and production-grade engineering.</p><p></p><p><br>
This is a senior individual contributor role focused on technical leadership, system design, and cross-functional influence, not people management.</p><p></p><h6 class="jobSectionHeader"><b><br>
Key Responsibilities</b></h6><ul><li>
Technical &amp; Architectural Leadership</li><li><div><ul><li>
Own the end-to-end design and implementation of large-scale data and modeling applications, from ingestion and storage through modeling, validation, and production deployment.</li><li>
Design systems that are modular, testable, and performant at scale, setting standards for code quality, security, and reliability across the organization.</li><li>
Lead schema and data-model design in Snowflake and Postgres to support massive, evolving meteorological and power market datasets.</li><li>
Establish and advocate for best practices in automated testing (unit, integration, data validation) for analytical and modeling workflows.</li><li>
Advanced Time-Series Modeling &amp; Research</li></ul></div></li><li>
Drive the development and evolution of time-series forecasting models in Python for energy prices, emissions, and load.</li><li><div><ul><li>
Lead the evaluation, validation, and integration of new and complex data sources into production modeling systems.</li><li>
Partner with research, power markets, product, and engineering to translate exploratory analyses into robust, production-ready systems.</li><li>
Conduct deep-dive analyses into complex datasets (e.g., transmission constraints, solar irradiance, weather-driven dynamics) to surface market insights and modeling improvements.</li></ul></div></li><li>
Technical Mentorship &amp; Influence</li><li><div><ul><li>
Provide technical mentorship and design guidance to senior and mid-level engineers, raising the overall quality bar without direct people management.</li><li>
Act as a Subject Matter Expert (SME) for clean energy project characterization and power market dynamics.</li><li>
Act as a go-to technical authority for modeling architecture, data quality, and system-level tradeoffs.</li><li>
Clearly communicate complex technical concepts, assumptions, and validation results to internal stakeholders and external customers.</li></ul></div></li></ul><p></p><h6 class="jobSectionHeader"><b><br>
Required Experience &amp; Qualifications</b></h6><ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Engineering, or a related technical field.</li><li>
10+ years of professional experience designing and operating data-intensive software systems in production environments.</li><li>
Expert-level proficiency in Python (including Pandas/NumPy) and SQL.</li><li>
Significant experience with time-series modeling, forecasting, machine learning, and statistical techniques in applied settings (e.g., Statsmodels, Scikit-learn, TensorFlow, or PyTorch).</li><li>
Hands-on experience with cloud infrastructure (AWS, GCP, or Azure), including containerized workloads (Docker/ECS) and Infrastructure-as-Code (e.g., Terraform).</li><li>
Proven ability to lead technical initiatives across teams, making architectural decisions that balance correctness, performance, and maintainability.</li></ul><p></p><h6 class="jobSectionHeader"><b><br>
Preferred Qualifications</b></h6><ul><li>
Domain expertise in clean energy, power markets, or energy analytics; experience in finance, offtake structures, or hedging is a strong plus.</li><li>
Experience building or supporting power flow or least-cost optimization models.</li><li>
Prior experience operating at a Staff or Principal level, leading cross-functional technical strategy and initiatives.</li></ul><p></p><h6 class="jobSectionHeader"><b><br>
Details</b></h6><ul><li>
Location: Boston, MA</li><li>
Our organization works on a hybrid model. We are in the office on Mondays, Tuesdays, and Thursdays at our downtown Boston building, and remote work is optional on Wednesdays and Fridays.</li></ul><p></p><h6 class="jobSectionHeader"><b><br>
Compensation and Benefits</b></h6><ul><li>
The base compensation range for this position is $146,400 to $211,600. Actual starting pay is determined by a number of factors, including relevant skills, qualifications, and experience. This range does not include annual bonus, equity-based incentives, and benefits.</li><li><b>
Benefits information can be found on our Careers page: </b><b>https://resurety.com/about/careers/</b></li></ul><h4 class="jobSectionHeader"><b><br>
About REsurety</b></h4><h6 class="jobSectionHeader"><b>
Company Overview</b></h6><p>
REsurety is the leading provider of data, software, and services to the clean energy economy and operates the only transactional marketplace for clean power. Trusted by the industry&rsquo;s leading buyers, sellers, and investors, REsurety&rsquo;s proprietary data models, powerful technology platforms, and deep domain expertise empower confident, impactful decision-making and efficient, effective portfolio management.</p><p></p><p><br>
We are a small team with a big impact! Our culture is open and collaborative. We expect excellence from our team members and reward it with high ownership and flexibility. If you&rsquo;re a high-achiever with a passion for clean energy, we want to hear from you.</p><h6 class="jobSectionHeader"><b>
Company Values and Principles</b></h6><p>
At REsurety, we value the skills of execution, creativity &amp; ownership, commercial focus, and teamwork, and we help and encourage all team members to develop these skills while at REsurety.</p><p></p><p><br>
Our values also shape our culture and act as the foundation for our principles. Like all great companies, we strive to hire the best and are committed to building a diverse, inclusive company where team members feel engaged, valued, and supported. What is special about REsurety, though, is how much we:</p><ul><li>
Share information openly, broadly, and deliberately with each other;</li><li>
Encourage ownership by all team members;</li><li>
Provide continuous, constructive feedback; and</li><li>
Empower all team members to bring their full, authentic selves to work.</li></ul></div>

Staff Machine Learning Engineer

<div><h4 class="jobSectionHeader"><b>Position Overview</b></h4><p>
As a Machine Learning Software Engineer at REsurety, you&rsquo;ll be a technical leader responsible for the architecture, maintenance, and rigorous validation of the models and tools that power REsurety&rsquo;s core business. At the Staff level, you are an expert practitioner and a strategic thinker. You will lead the development of sophisticated software that characterizes risk and accelerates the global development of clean energy, serving as a bridge between research, power markets, and production-grade engineering.</p><p></p><p><br>
This is a senior individual contributor role focused on technical leadership, system design, and cross-functional influence, not people management.</p><p></p><h6 class="jobSectionHeader"><b><br>
Key Responsibilities</b></h6><ul><li>
Technical &amp; Architectural Leadership</li><li><div><ul><li>
Own the end-to-end design and implementation of large-scale data and modeling applications, from ingestion and storage through modeling, validation, and production deployment.</li><li>
Design systems that are modular, testable, and performant at scale, setting standards for code quality, security, and reliability across the organization.</li><li>
Lead schema and data-model design in Snowflake and Postgres to support massive, evolving meteorological and power market datasets.</li><li>
Establish and advocate for best practices in automated testing (unit, integration, data validation) for analytical and modeling workflows.</li><li>
Advanced Time-Series Modeling &amp; Research</li></ul></div></li><li>
Drive the development and evolution of time-series forecasting models in Python for energy prices, emissions, and load.</li><li><div><ul><li>
Lead the evaluation, validation, and integration of new and complex data sources into production modeling systems.</li><li>
Partner with research, power markets, product, and engineering to translate exploratory analyses into robust, production-ready systems.</li><li>
Conduct deep-dive analyses into complex datasets (e.g., transmission constraints, solar irradiance, weather-driven dynamics) to surface market insights and modeling improvements.</li></ul></div></li><li>
Technical Mentorship &amp; Influence</li><li><div><ul><li>
Provide technical mentorship and design guidance to senior and mid-level engineers, raising the overall quality bar without direct people management.</li><li>
Act as a Subject Matter Expert (SME) for clean energy project characterization and power market dynamics.</li><li>
Act as a go-to technical authority for modeling architecture, data quality, and system-level tradeoffs.</li><li>
Clearly communicate complex technical concepts, assumptions, and validation results to internal stakeholders and external customers.</li></ul></div></li></ul><p></p><h6 class="jobSectionHeader"><b><br>
Required Experience &amp; Qualifications</b></h6><ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Engineering, or a related technical field.</li><li>
10+ years of professional experience designing and operating data-intensive software systems in production environments.</li><li>
Expert-level proficiency in Python (including Pandas/NumPy) and SQL.</li><li>
Significant experience with time-series modeling, forecasting, machine learning, and statistical techniques in applied settings (e.g., Statsmodels, Scikit-learn, TensorFlow, or PyTorch).</li><li>
Hands-on experience with cloud infrastructure (AWS, GCP, or Azure), including containerized workloads (Docker/ECS) and Infrastructure-as-Code (e.g., Terraform).</li><li>
Proven ability to lead technical initiatives across teams, making architectural decisions that balance correctness, performance, and maintainability.</li></ul><p></p><h6 class="jobSectionHeader"><b><br>
Preferred Qualifications</b></h6><ul><li>
Domain expertise in clean energy, power markets, or energy analytics; experience in finance, offtake structures, or hedging is a strong plus.</li><li>
Experience building or supporting power flow or least-cost optimization models.</li><li>
Prior experience operating at a Staff or Principal level, leading cross-functional technical strategy and initiatives.</li></ul><p></p><h6 class="jobSectionHeader"><b><br>
Details</b></h6><ul><li>
Location: Boston, MA</li><li>
Our organization works on a hybrid model. We are in the office on Mondays, Tuesdays, and Thursdays at our downtown Boston building, and remote work is optional on Wednesdays and Fridays.</li></ul><p></p><h6 class="jobSectionHeader"><b><br>
Compensation and Benefits</b></h6><ul><li>
The base compensation range for this position is $146,400 to $211,600. Actual starting pay is determined by a number of factors, including relevant skills, qualifications, and experience. This range does not include annual bonus, equity-based incentives, and benefits.</li><li><b>
Benefits information can be found on our Careers page: </b><b>https://resurety.com/about/careers/</b></li></ul><h4 class="jobSectionHeader"><b><br>
About REsurety</b></h4><h6 class="jobSectionHeader"><b>
Company Overview</b></h6><p>
REsurety is the leading provider of data, software, and services to the clean energy economy and operates the only transactional marketplace for clean power. Trusted by the industry&rsquo;s leading buyers, sellers, and investors, REsurety&rsquo;s proprietary data models, powerful technology platforms, and deep domain expertise empower confident, impactful decision-making and efficient, effective portfolio management.</p><p></p><p><br>
We are a small team with a big impact! Our culture is open and collaborative. We expect excellence from our team members and reward it with high ownership and flexibility. If you&rsquo;re a high-achiever with a passion for clean energy, we want to hear from you.</p><h6 class="jobSectionHeader"><b>
Company Values and Principles</b></h6><p>
At REsurety, we value the skills of execution, creativity &amp; ownership, commercial focus, and teamwork, and we help and encourage all team members to develop these skills while at REsurety.</p><p></p><p><br>
Our values also shape our culture and act as the foundation for our principles. Like all great companies, we strive to hire the best and are committed to building a diverse, inclusive company where team members feel engaged, valued, and supported. What is special about REsurety, though, is how much we:</p><ul><li>
Share information openly, broadly, and deliberately with each other;</li><li>
Encourage ownership by all team members;</li><li>
Provide continuous, constructive feedback; and</li><li>
Empower all team members to bring their full, authentic selves to work.</li></ul></div>

Machine Learning, Software Engineer

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