branch operations lead - (new build) - beacon hill, ma

data engineer

senior data engineer - analytics Jobs in Boston

senior data engineer - analytics

branch operations lead - (new build) - beacon hill, ma Jobs in Boston

data analyst, sr.

data architect, data foundry Jobs in Boston

data architect, data foundry

senior technical data engineer boston ma

Perficient

<div>Perficient is a global AI-first consultancy. Our team of strategists, designers, technologists, and engineers partners with the world&rsquo;s most innovative enterprises and admired brands to deliver real business results through the transformative power of AI. As part of our AI-First strategy, we empower every employee to build AI fluency and actively engage with AI tools to drive innovation and efficiency. We break boundaries, obsess over outcomes, and shape the future for our clients. Join a company where bold ideas and brilliant minds converge to redefine what&rsquo;s possible - while building a career filled with growth, balance, and purpose. 
We currently have a career opportunity for a Senior Technical Consultant - Data Engineering to join our AI Data Platforms-Data &amp; Analytics-Delivery Team in Boston, MA . 
The Senior Technical Consultant will be driving the design, automation, and scaling of our cloud-native data platform. 
Job Overview:
As a Senior Technical Consultant, you&rsquo;ll work closely with engineering and business leaders to design and build data integration solutions that drive enterprise analytics and decision-making. You&rsquo;ll leverage cloud technologies, CI/CD pipelines, and Power BI to deliver scalable, high-performance data solutions. The ideal candidate excels in ETL programming, data integration, and data modeling, enabling self-service analytics and ensuring data accessibility, governance, and integrity. You&rsquo;ll be part of an agile team, participating in Scrum ceremonies and deliver continuous value to stakeholders. 
Perficient is always looking for the best and brightest talent, and we need you! We&rsquo;re a quickly growing, global digital consulting leader, and we&rsquo;re transforming the world&rsquo;s largest enterprises and biggest brands. You&rsquo;ll work with the latest technologies, expand your skills, and become a part of our global community of talented, diverse, and knowledgeable colleagues.</div>

Senior Technical Data Engineer - Boston, MA

The Brattle Group, Inc.

<div><div>The Brattle Group, a privately held, global economics consulting firm, is looking for a Senior Data Engineer (Applied AI/ML) to join our Boston, MA 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.

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.

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.

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. 


Some of the day-to-day responsibilities of this role include:
<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> 


THE CANDIDATE
<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> 


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. 


This position is not eligible for immigration sponsorship. 


EQUAL OPPORTUNITY

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. 


We encourage all applicants to click here to review our full Equal Employer Opportunity Statement.</div><div> 
THE EMPLOYER

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.</div></div>

Senior Data Engineer (Applied ML / Analytics) New

Nasuni

<div>Software Engineering Intern in Test - Internship

Location: Boston Seaport or Marlborough, MA (Hybrid &ndash; 3 days/week onsite)

Duration: June 1, 2026 &ndash; August 7, 2026 (10 weeks)

Compensation: Hourly paid internship

Role Overview

This role is designed for students who want hands-on experience building and validating software systems that operate at enterprise scale. As a Software Engineer in Test (Co-op/Intern), you will contribute directly to the reliability and performance of Nasuni's cloud file data platform used by global enterprises.

This role is ideal for candidates who enjoy debugging, automation, and understanding how systems behave under load&mdash;not just writing code, but validating that it works at scale.

Responsibilities
<ul>
<li>Develop and maintain Python-based automated test tools using pytest frameworks</li>
<li>Configure and operate Linux-based test environments, including VMs and clustered systems</li>
<li>Investigate tooling and test failures and assist in root cause analysis of defects</li>
<li>Participate in bug triage discussions, clearly documenting findings and reproduction steps</li>
<li>Contribute to CI/CD workflows by improving test reliability and execution efficiency</li>
<li>Use AI-assisted tools (e.g., code generation, debugging assistants) to accelerate test development and analyze failures, validating outputs before use</li>
<li>Gain exposure to distributed systems, file protocols (NFS/SMB), and hybrid cloud environments</li>
</ul><h3 class="jobSectionHeader">Must-Have Qualifications</h3>
<ul><li>Currently pursuing a Bachelor's degree in Computer Science, Engineering, or related field</li>
<li>Foundational programming experience in Python</li>
<li>Basic familiarity with Linux command line</li>
<li>Ability to debug issues and document findings clearly and logically</li>
</ul><h3 class="jobSectionHeader">Preferred Qualifications</h3>
<ul><li>Experience with automated testing frameworks (e.g., pytest, unittest)</li>
<li>Familiarity with Git version control</li>
<li>Exposure to networking concepts or operating systems coursework</li>
<li>Experience using AI tools (e.g., coding assistants) to support development workflows</li>
</ul><h3 class="jobSectionHeader">Ideal Qualifications</h3>
<ul><li>Hands-on project experience involving test automation or system validation</li>
<li>Exposure to distributed systems, storage systems, or cloud environments</li>
<li>Experience diagnosing issues across multi-component systems</li>
</ul><h3 class="jobSectionHeader">Experience Guidelines</h3>
<ul><li>A rising senior undergraduate student (0&ndash;2 years relevant experience)</li>
<li>Relevant experience may include:
<ul><li>Academic projects</li>
<li>Internships</li>
<li>Personal or open-source work</li>
</ul></li><li>No prior enterprise experience required</li>
</ul><h2 class="jobSectionHeader">About Nasuni</h2>

Nasuni is the unstructured data foundation for enterprise teams&mdash;and the AI that supports them. We manage, protect, and activate the world's unstructured data so organizations can work smarter, spend wisely, and create safely without limits. Our AI-ready platform helps enterprises modernize file infrastructure&mdash;supporting secure collaboration, resilience, and intelligent automation across global environments.
<h2 class="jobSectionHeader">
Why Work at Nasuni (Boston Seaport or Marlborough, MA)</h2>

Based in the Greater Boston area, Nasuni brings together teams building modern cloud and data infrastructure used by enterprises worldwide. In our Boston/Marlborough roles, you'll collaborate closely with cross-functional partners to ship meaningful product and customer outcomes. If you value ownership, practical problem-solving, and building technology that sits at the intersection of enterprise data and AI readiness, you'll find a strong community and high-impact work here.

As an hourly summer intern, you'll gain:
<ul>
<li>Structured onboarding and mentorship</li>
<li>Hands-on project ownership</li>
<li>Exposure to enterprise marketing and communications programs</li>
<li>Networking opportunities across departments</li>
<li>A collaborative Boston Seaport office environment</li></ul> 


Compensation Transparency:

In accordance with U.S. pay transparency laws, Nasuni is committed to providing visibility into compensation for all U.S.-based roles. Click HERE to view our compensation ranges by job grade. Actual compensation will be based on a variety of factors, including a candidate's experience, skills, education, and work location.

To all recruitment agencies: Nasuni does not accept agency resumes. Please do not forward resumes to our job boards, Nasuni employees or any other company location. Nasuni is not responsible for any fees related to unsolicited resumes.

Nasuni is an equal opportunity employer. The equal employment opportunity policy at Nasuni protects employees and job applicants from discrimination on the bases of race, religion, color, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, family medical history or genetic information, political affiliation, military service, or other non-merit based factors. These protections extend to all management practices and decisions, including recruitment and hiring practices, appraisal systems, promotions, and training and career development programs.<div> 
This privacy notice relates to information collected (whether online or offline) by Nasuni Corporation and our corporate affiliates (collectively, &quot;Nasuni&quot;) from or about you in your capacity as a Nasuni employee, independent contractor/service provider or as an applicant for an employment or contractor relationship with Nasuni.</div></div>

Software Engineering Intern in Test - Internship

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Amazon's North America Reliability Maintenance &amp; Engineering (RME) team needs a dynamic Regional Maintenance Manager to lead our operations. This key position will drive safety initiatives and guide field teams in developing effective decision-making tools for site managers. You'll evaluate Fulfillment Center RME departments' performance and implement proven practices to improve reliability metrics. Your mission: champion workplace safety, maximize equipment uptime, and optimize operational costs in our fast-paced fulfillment network. 
The ideal candidate brings extensive expertise in facilities maintenance, workplace safety, and data-driven leadership. Experience with Material Handling Equipment (MHE) systems, packaging automation, distribution processes, and storage systems is valuable. We need a self-starter who excels at managing multiple complex projects while building strong relationships across all organizational levels. The role requires oversight of maintenance acceptance for large-scale projects and the ability to provide technical leadership to facilities maintenance teams. 
 
Key Responsibilities 
<ul><li>Champion safety standards and drive team compliance</li><li>Lead and mentor field-based Facilities Managers to expand and improve Amazon's North American Fulfillment Network</li><li>Drive maintenance excellence through innovation, documentation, standardization, and safety practices</li><li>Guide senior leadership on maintenance and equipment end of life (EOL) decisions using ROI analysis</li><li>Oversee budget development, execution, and capital planning</li><li>Manage vendor relationships and maximize network economies of scale</li><li>Monitor and audit maintenance execution and safety practices across sites</li><li>Coordinate maintenance teams across North America</li><li>Develop and manage contract documents, including RFPs and purchase orders</li><li>Support Fulfillment Center General Managers in facilities management</li><li>Recruit and hire exceptional talent for Facilities Maintenance roles</li><li>Build a world-class facilities maintenance organization</li><li>Relocate as needed for Amazon's business needs</li></ul></div><h2 class="jobSectionHeader"> 
BASIC QUALIFICATIONS</h2><ul><li>10+ years of managing large complex facilities organizations experience</li><li>7+ years of senior management and leadership responsibilities experience</li><li>Bachelor's degree</li><li>Bachelor's degree in Electrical or Mechanical Engineering, Engineering Technology, Reliability Engineering, or 2+ years of Amazon RME (BB/3P) Full Time Exempt experience</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience in managing large complex facilities organizations</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, MA, BOSTON - 145,500.00 - 196,800.00 USD annually 
USA, MA, Boston - 145,500.00 - 196,800.00 USD annually 
USA, NJ, Edison - 145,500.00 - 196,800.00 USD annually 
USA, NY, New York - 160,000.00 - 216,500.00 USD annually</div>

Regional Maintenance Manager

Daley And Associates, LLC

<div>
 Vice President, Engineering &amp; AI (Platforms)
 
 Our client is seeking a Vice President of Engineering &amp; AI to lead our software and data platform organization, building the foundations that power analytics, products, and AI at scale. This role owns platform strategy, execution, and organizational leadership across software engineering, data engineering, cloud infrastructure, and applied AI.
 
 
 You will partner closely with executive leadership to translate business priorities into durable platforms, scale high-performing teams, and ensure systems are reliable, secure, and future-ready.
 
 What You&rsquo;ll Do
 <ul>
 <li>
 
 Set and execute the platform strategy for software, data, and cloud, aligned with business goals.
 
 </li>
 <li>
 
 Lead and scale teams across platform engineering, data engineering, and core services.
 
 </li>
 <li>
 
 Build and evolve enterprise data platforms that support ingestion, governance, analytics, and AI.
 
 </li>
 <li>
 
 Ensure delivery of high-quality, resilient, and scalable systems, with strong engineering standards and operational discipline.
 
 </li>
 <li>
 
 Establish platform abstractions, shared services, and developer tooling that accelerate product and AI teams.
 
 </li>
 <li>
 
 Guide adoption of AI capabilities within platforms and internal workflows where they improve reliability, automation, and insight.
 
 </li>
 <li>
 
 Balance long-term platform investments with incremental delivery and measurable outcomes.
 
 </li>
 <li>
 
 Define engineering metrics, operating rhythms, and technical standards that drive accountability.
 
 </li>
 <li>
 
 Communicate platform roadmaps, tradeoffs, and progress to executive stakeholders.
 
 </li>
 </ul>
 What We&rsquo;re Looking For
 <ul>
 <li>
 
 10+ years across software engineering, data engineering, and cloud platforms, with senior leadership experience at the Director or VP level.
 
 </li>
 <li>
 
 Deep experience building and operating platforms, shared services, and data infrastructure at scale.
 
 </li>
 <li>
 
 Strong technical judgment in distributed systems, cloud infrastructure (AWS preferred), and modern data stacks.
 
 </li>
 <li>
 
 Experience enabling analytics, governance, and AI through well-designed data pipelines and platforms.
 
 </li>
 <li>
 
 Proven ability to lead leaders, scale teams, and manage complex technical portfolios.
 
 </li>
 <li>
 
 Clear, concise communicator with strong executive presence.
 
 </li>
 </ul>
 How You Lead
 <ul>
 <li>
 
 Platform-first: You think in systems, leverage, and long-term maintainability.
 
 </li>
 <li>
 
 Execution-driven: You turn roadmaps into reliable platforms teams can trust.
 
 </li>
 <li>
 
 Pragmatic: You make smart architectural tradeoffs under real constraints.
 
 </li>
 <li>
 
 Data- and AI-aware: You understand how strong platforms unlock AI and analytics.
 
 </li>
 <li>
 
 Ownership-oriented: You are accountable for outcomes, uptime, and adoption.
 
 
 
 Onsite in Boston MA&nbsp;
 
 
 
 For immediate consideration please email a resume to Kenny at Kwilliams@daleyaa.com&nbsp;
 
 
 
 </li>
 </ul>
</div>

VP Software Engineering and AI Platforms

WHOOP

<div>
 At WHOOP, we&rsquo;re on a mission to unlock human performance and healthspan. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. Our wearable technology monitors vital physiological metrics to provide personalized insights that improve fitness, health, and recovery.
 
 
 As a Software Engineer I, you will contribute to the design, development, and maintenance of the services that power WHOOP&rsquo;s core product experiences. You will work closely with experienced engineers, product managers, designers, and data scientists to build scalable, reliable systems that deliver meaningful insights to our members. This is a growth-oriented role ideal for engineers who are excited to learn, ship high-quality code, and make an impact in a fast-paced, mission-driven environment.
 
 
 
 This posting is for an immediate new hire to our team. For those graduating in the spring or fall of 2026 seeking entry level roles, we kindly ask that you check out this
 
 
 New Grad Opportunities
 
 
 job posting instead to be considered for roles opening at that time. Thank you.
 
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Contribute to the development and maintenance of backend services and APIs that power WHOOP&rsquo;s member-facing features using technologies such as Java, Kafka, Postgres, and AWS.
 </li>
 <li>
 Collaborate with cross-functional partners across Product, Design, Data Science, and Engineering to translate requirements into well-scoped technical solutions.
 </li>
 <li>
 Write clean, maintainable, and well-tested code while participating in code reviews to continuously improve engineering quality and standards.
 </li>
 <li>
 Support the operation and monitoring of production systems, helping to troubleshoot issues and ensure reliability, scalability, and performance.
 </li>
 <li>
 Break down feature requirements into actionable tasks, identify risks early, and iterate quickly to deliver value to members.
 </li>
 <li>
 Contribute to technical documentation and knowledge sharing to support team velocity and long-term maintainability.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Professional experience in backend software development (internship, co-op, or academic project experience acceptable).
 </li>
 <li>
 Experience building or interacting with RESTful APIs and relational databases (e.g., Postgres or similar SQL-based systems).
 </li>
 <li>
 Proficiency in an object-oriented programming language such as Java, or demonstrated ability to quickly learn new backend technologies.
 </li>
 <li>
 Familiarity with version control systems such as Git and standard development workflows.
 </li>
 <li>
 Understanding of fundamental computer science concepts including data structures, algorithms, and system design basics.
 </li>
 <li>
 Interest in distributed systems, event-driven architectures (e.g., Kafka or similar technologies), and cloud platforms such as AWS.
 </li>
 <li>
 Strong problem-solving skills and a growth mindset, with a willingness to seek feedback and continuously improve.
 </li>
 <li>
 Effective communication skills and the ability to collaborate within a cross-functional team environment.
 
 
 </li>
 </ul>
 
 Learn more about our Software Org and how to be successful in your engineering career at WHOOP via our
 
 
 Career Framework
 
 
 .
 
 
 
 
 
 This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.
 
 
 
 
 
 Interested in the role, but don&rsquo;t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.
 
 
 
 
 WHOOP is an Equal Opportunity Employer and participates in
 
 
 E-verify
 
 
 to determine employment eligibility. 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.
 
 
 
 
 The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.
 
 
 
 
 At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company&rsquo;s long-term growth and success.
 
 
 
 
 The U.S. base salary range for this full-time position is $105,000 - 145,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.
 
 
 
 
 In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.
 
 
 
 
 These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate&rsquo;s specific qualifications, expertise, and alignment with the role&rsquo;s requirements.
 
</div>

Software Engineer I (Backend)

Capgemini

<div>
 
 
 Role: Data Analyst
 
 
 
 
 Location: Boston, MA or NYC
 
 
 
 
 Job type: Fulltime
 
 
 
 
 
 <ul>
 <li>
 Bachelors degree in IT Computer Science or related field
 
 7+ years of experience with SQL and data analysis
 
 </li>
 <li>
 Strong handson experience with Excel
 </li>
 <li>
 Knowledge of Snowflake is desired
 </li>
 <li>
 Experience with Salesforce is a plus but not required
 </li>
 <li>
 Experience working with Jira and project management tools
 </li>
 <li>
 Solid understanding of SDLC and AGILE methodologies
 </li>
 <li>
 Ability to communicate technical concepts to business users in clear simple language
 </li>
 <li>
 Solid understanding of financial terms and technology architecture
 </li>
 <li>
 Excellent analytical communication and documentation skills
 </li>
 <li>
 </li>
 <li>
 Preferred Skills
 </li>
 <li>
 Prefer diversity profile
 </li>
 <li>
 Experience in financial services and wealth management domains
 </li>
 <li>
 SMPM experience is plus
 </li>
 <li>
 Working with global teams in different time zone"
 </li>
 </ul>
</div>

Data Analyst - Banking SQL

Explore 425+ Senior technical data engineer boston ma in Boston this March. Find roles across top companies and apply now to boost your career.