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data engineer

Manulife

<div>
 What distinguishes this opportunity? At John Hancock Manulife, we are devoted to nurturing an environment where your skills and ambitions can prosper. As a Data Engineer, you will have a key role in constructing and managing our data systems and architecture. This versatile role, situated in Boston, MA, delivers an optimum mix of hybrid flexibility and collaborative in-person interactions, empowering you to succeed personally and professionally.
 
 
 This role is located in Boston and has a Hybrid Model of 3 days in the office.
 
 
 As a Data Engineer at John Hancock Manulife, you would play a meaningful role in development and maintenance of the company's data systems and architecture. You would collaborate with other highly skilled data engineers, data architects and governance team in designing, developing, and deploying data pipelines, ETL processes, and other data integration solutions to extract, transform, and load data from various sources into Manulife's data warehouse.
 
 
 Position Responsibilities
 
 
 <ul>
 <li>
 Build, develop, and maintain scalable ETL/ELT pipelines.
 </li>
 <li>
 Develop and uphold the company's data architecture, including data models, schemas, and data dictionaries.
 </li>
 <li>
 Integrate data from diverse sources, ensuring quality and consistency, and prepare it for analytical and operational uses.
 </li>
 <li>
 Adhere to data governance policies and processes to safeguard data security, privacy, and compliance.
 </li>
 <li>
 Collaborate with data professionals, including data scientists, analysts, and business team members, to comprehend data requirements and devise solutions to meet those needs.
 </li>
 <li>
 Stay informed about the latest tools and technologies, finding opportunities to improve Manulife's data infrastructure.
 </li>
 <li>
 Illustrate the aptitude to learn and apply established methods in data engineering and cloud computing to ensure scalable, efficient, and effective solutions.
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 2+ years of background as a Data Engineer.
 </li>
 <li>
 Demonstrable experience in building and operationalizing data pipelines.
 </li>
 <li>
 Hands-on experience with programming languages like Python and SQL.
 </li>
 <li>
 Solid grasp of data warehousing concepts and relational data modeling.
 </li>
 <li>
 Strong working knowledge of SQL queries, Databricks, Synapse, and SQL Server.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Familiar with DevOps and CI/CD pipelines in the automation of ETL workloads.
 </li>
 <li>
 Familiar with cloud platforms such as Azure and AWS, along with related technologies.
 </li>
 <li>
 Superb communication and interpersonal skills.
 </li>
 <li>
 Strong analytical, problem-solving, and abilities.
 </li>
 <li>
 Proficiency in data processing, performance analysis, tuning, and resource optimization.
 </li>
 <li>
 Understanding of Agile Scrum methodologies and experience working in an Agile team, including familiarity with collaboration tools such as Teams and JIRA.
 </li>
 <li>
 A dedication to continuous learning from both successes and failures, with an openness to change and improvement.
 </li>
 <li>
 Familiar with production release and operational support models.
 
 
 </li>
 </ul>
 
 When You Join Our Team
 
 
 
 <ul>
 <li>
 We&rsquo;ll empower you to learn and grow the career you want.
 </li>
 <li>
 We&rsquo;ll recognize and support you in a flexible environment where well-being and inclusion are more than just words.
 </li>
 <li>
 As part of our global team, we&rsquo;ll support you in shaping the future you want to see.
 
 
 </li>
 </ul>
 
 If you are applying to this role in Massachusetts, please note the salary range is $ 87,990.00 - $163,410.00 USD. Additionally, employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance.
 
 
 
 The role being advertised is an existing vacancy.
 
 
 
 About Manulife And John Hancock
 
 
 
 Manulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better. To learn more about us, visit https://www.manulife.com/en/about/our-story.html.
 
 
 
 Manulife is an Equal Opportunity Employer
 
 
 
 At Manulife/John Hancock, we embrace our diversity. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention, advancement and compensation, and we administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy-related conditions), sexual orientation, genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other ground protected by applicable law.
 
 
 It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies. To request a reasonable accommodation in the application process, contact hr@manulife.com.
 
 
 
 Referenced Salary Location
 
 
 
 Boston, Massachusetts
 
 
 
 Working Arrangement
 
 
 
 Hybrid
 
 
 
 Salary range is expected to be between
 
 
 
 $90,160.00 USD - $167,440.00 USD
 
 
 Employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance. The actual salary will vary depending on local market conditions, geography and relevant job-related factors such as knowledge, skills, qualifications, experience, and education/training. If you are applying for this role outside of the primary location, please contact hr@manulife.com for the salary range for your location.
 
 
 Manulife/John Hancock offers eligible employees a wide array of customizable benefits, including health, dental, mental health, vision, short- and long-term disability, life and AD&amp;D insurance coverage, adoption/surrogacy and wellness benefits, and employee/family assistance plans. We also offer eligible employees various retirement savings plans (including pension/401(k) savings plans and a global share ownership plan with employer matching contributions) and financial education and counseling resources. Our generous paid time off program in the U.S. includes up to 11 paid holidays, 3 personal days, 150 hours of vacation, and 40 hours of sick time (or more where required by law) each year, and we offer the full range of statutory leaves of absence.
 
 
 We use data and analytics technologies, such as artificial intelligence (AI), and automated processing tools, to analyze and process the information you provide to us or third parties in the application process. For more information, please refer to our personal information collection statement.
 
 
 Know Your Rights
 
 I
 
 
 Family &amp; Medical Leave
 
 
 I
 
 
 Employee Polygraph Protection
 
 
 I
 
 
 Right to Work
 
 
 I
 
 
 E-Verify
 
 
 
 Company: John Hancock Life Insurance Company (U.S.A.)
</div>

Data Engineer

Takeda Pharmaceuticals

<div>By clicking the &ldquo;Apply&rdquo; button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda&rsquo;s Privacy Notice and Terms of Use. I further attest that all information I submit in my employment application is true to the best of my knowledge.<h2 class="jobSectionHeader">
Job Description</h2>
The AD Technology Development and Implementation team at Takeda is in search of a data Sr. Staff Engineer to contribute to the design, implementation, and deployment of event driven ETL pipelines with AWS to ingest and process structured and unstructured laboratory records. Our team strives to analyze laboratory method characterization data by using modern data platforms, standard methodologies, and thoughtful predictive modeling. 
In this role, a typical day might include the following:<ul><li>
Develop and maintain Analytical Development (AD) digital transformation road map. Deliver established vision, roadmap, projects, and timeline to support the digital transformation of analytical laboratory results.</li><li>
Support large database activities, design and maintain open-source code extraction algorithms
</li><li>Assume technical ownership on digital transformation projects, which include but are not limited to data analytics and predictive modeling, dashboards using Spotfire, Tableau, Power BI, and open-sourced coding (i.e., R and Python)</li><li>
Develop and maintain core software engineering infrastructure within data platform engineering &amp; operations, including data wrangling, data logging, performance benchmarking, and multi-platform integration</li><li>
Contribute to multiple software engineering efforts, including data engineering/analytic pipelines, and data platforms</li><li>
Coordinate with other development teams to promote collaborative data management efforts, interoperability, and shared infrastructure</li><li>
Monitor data capture systems to identify inefficiencies and remove bottlenecks</li><li>
Support internal &amp; external R&amp;D projects, working with domain experts to mature POCs into production-quality tools</li></ul> 
What you bring to Takeda:<ul><li>
To be considered for this role you must have a B.S. degree in computer science, software engineering, or a related field with 11+ years of relevant industry experience, M.S. and 9+ years of relevant industry experience, or PhD and 3+ years of relevant industry experience.
</li><li>Minimum of 8 years of combined experience in the analytical environment utilizing SQL, Cloud environments, AWS, Python, Dev-Ops and R Studio.</li><li>
The candidate should have experience with ETL pipelines, data pre-processing, and statistical concepts and can work in multiple languages (Python, R, Scala, C/C++, SQL).
</li><li>Exposure to cloud computing environments and technologies in the data &amp; analytics engineering domain (Spark, Databricks, data lakes, data QA tools, ML tools) are a plus but not required.</li><li>
Strong understanding of analytical software (Spotfire, Minitab, MATLAB) and demonstrated experience contributing to and maintaining multi-contributor software projects (open or closed source), pipelines, and/or enterprise systems required.</li><li>
Previous direct involvement in technology implementations for use in biologics, pharmaceuticals or devices, either in manufacturing operations or support function is highly desirable.</li><li>
Interacts with vendors of applications, integrators and consultants during front end studies, design workshops and system implementation.</li><li>
Need to be able to collaborate with other coworkers and work with multi-functional teams of developers, engineers, and scientists.</li></ul>
This position is currently classified as &quot;hybrid&quot; following Takeda's Hybrid and Remote Work policy.
Takeda Compensation and Benefits Summary
We understand compensation is an important factor as you consider the next step in your career. We are committed to equitable pay for all employees, and we strive to be more transparent with our pay practices.
For Location:
Boston, MA
U.S. Base Salary Range:
$137,000.00 - $215,270.00 
The estimated salary range reflects an anticipated range for this position. The actual base salary offered may depend on a variety of factors, including the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job. The actual base salary offered will be in accordance with state or local minimum wage requirements for the job location.
U.S. based employees may be eligible for short-term and/ or long-term incentives. U.S. based employees may be eligible to participate in medical, dental, vision insurance, a 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, a tuition reimbursement program, paid volunteer time off, company holidays, and well-being benefits, among others. U.S. based employees are also eligible to receive, per calendar year, up to 80 hours of sick time, and new hires are eligible to accrue up to 120 hours of paid vacation.
EEO Statement
Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, status as a Vietnam era veteran, special disabled veteran, or other protected veteran in accordance with applicable federal, state and local laws, and any other characteristic protected by law.<h2 class="jobSectionHeader">
Locations</h2>
Boston, MA<h2 class="jobSectionHeader">
Worker Type</h2>
Employee<h2 class="jobSectionHeader">
Worker Sub-Type</h2>
Regular<h2 class="jobSectionHeader">
Time Type</h2>
Full time
Job Exempt
Yes
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.</div>

Sr. Data Engineer - Analytical Development

State Street

<div>State Street Investment Management Data, Analytics &amp; AI Services (DAAIS) is seeking an experienced AVP, to join our Boston office. This role is responsible for the production maintenance &amp; support and stability for critical data platforms at State Street Investment Management. The role manages daily operations, resolves issues promptly, and coordinates enhancement and data extract requests. The position also serves as a liaison among business users, technology, and downstream data consumers, ensuring compliance with regulatory and data governance standards.
Why This Role Is Important
Data platforms are central to State Street Investment Management&rsquo;s ability to serve clients, meet regulatory obligations, and run daily investment operations. The AVP role in this space ensures these platforms remain stable, trusted, and continuously improving, while protecting the firm from unnecessary operational and regulatory risk.
Responsibilities:
Maintenance &amp; Support<ul><li>
Oversee and work with data platform development teams &amp; Product Owners to perform triage, root‑cause analysis, remediation tracking, and stakeholder communication.</li><li>
Ensure SLA adherence, escalation discipline, and timely closure of production issues impacting business, clients, or regulators.</li><li>
Partner with L2/L3 support and platform teams to stabilize recurring issues and drive durable fixes.</li></ul>
Enhancement &amp; Change Management<ul><li>
Govern intake, prioritization, and execution of enhancement and change requests alongside Product Owners and Technology Leads.</li><li>
Ensure changes comply with change management, moratorium, and SDLC.</li><li>
Balance production stability with incremental platform improvements and regulatory‑driven changes.</li><li>
Participate in solution design with development teams and independently perform data verification using primary skills like SQL.</li></ul>
Consumer Support<ul><li>
Work with Product Owners &amp; data platform development team to manage demand from various internal stakeholders and Regulatory teams.</li><li>
Ensure data delivered from data platforms is accurate, reconciled, and fit for purpose with the appropriate controls implemented.</li><li>
Function as escalation point for data quality issues impacting downstream consumers.</li></ul>
Risk, Control &amp; Governance<ul><li>
Identify and actively manage operational, data, and delivery risks.</li><li>
Ensure compliance with data governance standards, regulatory obligations, and audit requirements.</li><li>
Support internal audits, risk assessments, and regulatory inquiries related to data platforms and operations.</li><li>
Drive clear documentation of processes, controls, and known risks.</li></ul>
Stakeholder &amp; Team Leadership<ul><li>
Serve as the primary point of contact for Product Owners and Consumer teams for BAU matters.</li><li>
Provide guidance and direction to onshore/offshore BAU analysts and support resources.</li><li>
Coordinate across Product, Technology, Data Governance, and Operations teams to resolve cross‑platform issues.</li><li>
Contribute to capacity planning, knowledge transition, and support model improvements.</li></ul>
Future State Opportunities<ul><li>
Transition to migrating from existing data platforms and managing enhancements of new data platform involving an open technology stack and newer skills like Python and dbt.</li><li>
Opportunity for professional growth by working on the open technology stack involved in the new data platform.</li><li>
Coordinate across Product, Technology, Data Governance, and Operations teams to resolve cross‑platform issues.</li><li>
Contribute to capacity planning, knowledge transition, and support model improvements.</li></ul>
Skills and Qualifications<ul><li>
Bachelor&rsquo;s degree in Computer Science, Information Systems or related discipline.</li><li>
7&ndash;10+ years of experience in data platforms, application support, and investment management.</li><li>
Strong experience managing maintenance &amp; support, operations, and incident escalation in a regulated environment.</li><li>
Solid understanding of investment data, reference data, or reporting flows.</li><li>
Proven ability to manage competing priorities in a high‑volume maintenance &amp; support environment.</li></ul><ul><li>
Experience supporting data or master data platforms within asset management or financial services.</li><li>
Familiarity with data replication, downstream data consumption, and reporting pipelines.</li><li>
Exposure to regulatory data requirements (e.g., client reporting, control reports, statutory/regulatory extracts).</li><li>
Experience working with globally distributed teams.</li></ul><ul><li>
Strong problem‑solving and root‑cause analysis skills.</li><li>
Clear, structured stakeholder communication.</li><li>
Ability to operate with accountability and ownership in ambiguous situations.</li><li>
Comfortable balancing operational rigor with pragmatic delivery.</li><li>
Leadership mindset with the ability to influence without direct authority.</li></ul>
Salary Range:
$90,000 - $157,500 Annual
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.
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.
For a full overview, visit https://hrportal.ehr.com/statestreet/Home.<h1 class="jobSectionHeader">
About State Street</h1>
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.
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.
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.
Discover more information on jobs at StateStreet.com/careers
Read our CEO Statement
Job Application Disclosure:
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.</div>

Senior Lead Data Platform Engineer, AVP - State Street Investment Management

Nasdaq

<div>
 
 Data Scientist
 
 
 
 At Nasdaq, you'll have the chance to start your career in an environment where learning, teamwork, and innovation come first. In this role, you'll support our data science team and gain hands-on experience working with complex datasets that power global financial markets.
 
 
 You don't need to know everything on day one &mdash; we'll help you build the skills, confidence, and network to grow your career.
 
 
 
 What you will do:
 
 
 
 <ul>
 <li>
 Design, research &amp; architect AI/ML solutions across the enterprise.
 </li>
 <li>
 Establish and maintain clear lines of communication, providing regular updates on project progress, insights, and potential impact on key performance indicators.
 </li>
 <li>
 Present findings and insights to non-technical partners in a clear and understandable manner, encouraging a collaborative environment for informed decision-making.
 </li>
 <li>
 Engage with key stakeholders to understand their business objectives and communicate the value proposition of data science initiatives.
 
 
 </li>
 </ul>
 
 What we expect:
 
 
 
 <ul>
 <li>
 1-3 years of experience working as a Data Scientist, ML/AI Engineer or in a similar role
 </li>
 <li>
 Advanced degree in Computer Science, Mathematics, Physics, Engineering, Statistics, or another technical field.
 </li>
 <li>
 Understanding of the fundamentals of Statistics &amp; Machine Learning (hypothesis testing, p-values, confidence intervals, regression, classification, optimization).
 </li>
 <li>
 Demonstrated experience with deep learning (CNNs, RNNs, transformers and other types of Deep Neural Networks) and working knowledge of one of the main deep learning libraries (PyTorch, Tensorflow, Jax)
 </li>
 <li>
 Fluency in Python and SQL or other similar relational database management systems.
 </li>
 <li>
 Excellent verbal and written English skills to guide cross-functional teams on complex data-driven projects.
 
 
 </li>
 </ul>
 
 Nice to have:
 
 
 
 <ul>
 <li>
 Work experience in a corporate environment or finance/fintech industry
 </li>
 <li>
 Demonstrated interest in finance and/or market microstructure
 </li>
 <li>
 Industry experience with Deep Learning models and methods (Deep Learning Life cycle &ndash; from Problem Definition to Model Evaluation and Monitoring)
 
 
 </li>
 </ul>
 This position will be located in Boston and offers the opportunity for a hybrid work environment at least 3 days a week in-office, subject to change, providing flexibility and accessibility for qualified candidates.
 
 
 
 Come as You Are
 
 
 
 Nasdaq is an equal opportunity employer. We positively encourage applications from suitably qualified and eligible candidates regardless of age, color, disability, national origin, ancestry, race, religion, gender, sexual orientation, gender identity and/or expression, veteran status, genetic information, or any other status protected by applicable law.
 
 
 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. Please contact us to request an accommodation.
 
 
 
 What We Offer
 
 
 
 We&rsquo;re proud to offer a competitive rewards package that is meaningful, recognizes the unique needs of our employees and their families and incentivizes employees for their contribution to Nasdaq&rsquo;s overall success.
 
 
 The base pay range for this role is $84,000 - $147,000. In addition to base salary, Nasdaq provides a generous annual bonus/commission (short-term incentive), and equity (long-term incentive), comprehensive benefits, and opportunity for growth. Exact compensation may vary based on several job-related factors that are unique to each candidate, including but not limited to: skill set, experience, education/training, business needs and market demands.
 
 
 Nasdaq&rsquo;s programs and rewards are intended to allow our employees to:
 
 
 <ul>
 <li>
 Secure Wealth: 401(k) program with 6% employer match, Employee Stock Purchase Program with 15% discount, Student loan repayment program up to $10k, Company paid life and disability plans, Generous paid time off
 </li>
 <li>
 Prioritize Health: Comprehensive medical, dental and vision coverage, Health spending account with employer contribution, Paid flex days to support mental wellbeing, Gym membership discounts
 </li>
 <li>
 Care for Family: Hybrid home/office schedule (for most positions), Paid parental leave, Fertility benefits, Paid bereavement leave
 </li>
 <li>
 Connect with Community: Company gift matching program, Employee resource groups, Paid volunteer days
 </li>
 <li>
 Grow Career: Education Assistance Program, Robust job skills training and Professional development opportunities
 
 
 </li>
 </ul>
 
 For more information, visit
 
 Nasdaq Benefits &amp; Rewards Career page
 
 .
 
</div>

Data Scientist - Graduate

Magnite

<div>Data Scientist
Boston, MA
Hybrid Schedule (M/F remote, T/W/TH in-office)
At Magnite, we cultivate an environment of continuous growth and collaboration. Our work impacts what millions of people read, watch, and buy, and we&rsquo;re looking for people to help us tackle that responsibility with creativity and focus. Magnite (NASDAQ: MGNI) is the world&rsquo;s largest independent sell-side advertising platform. Publishers use our technology to monetize their content across all screens and formats including CTV / streaming, online video, display, and audio. Our tech fuels billions of transactions per day!
About this team:
We are looking for a highly talented and motivated Data Scientist. The Science team leads initiatives in audience solutions, traffic shaping, forecasting, pricing optimization, latency analysis, and a range of other strategic projects. We are looking for someone versatile, methodical, excited by modern technology, and who enjoys focusing on tackling data science challenges.
In this role you will:
<ul><li>Research, experiment with, and prototype machine learning algorithms and statistical models for pattern recognition, trend analysis, optimization, and predictive modeling</li><li>
Collaborate with Engineers to ensure scalable models that perform effectively on high-volume data and support deployment to production</li><li>
Leverage big data technologies such as Hadoop and Spark to process large-scale datasets</li><li>
Stay aligned with both client-driven and internal projects</li><li>
Participate in and contribute to design and code reviews for data science projects</li><li>
Develop a strong understanding of the ad tech business context to ensure data science solutions are relevant and impactful</li></ul>
We&rsquo;re looking for someone with:<ul><li>
A PhD in a quantitative discipline (e.g., mathematics, statistics, computer science, or engineering)</li><li>
Strong understanding of predictive analytics, statistical modeling, and data mining&mdash;including theory, algorithms, and practical applications</li><li>
Able to make intelligent approximations and design effective, practical, and scalable mathematical models</li><li>
Ability to identify assumptions and limitations in models and algorithms, and assess their impact on reporting and decision-making</li><li>
Proficiency in Python and SQL is required; experience with Scala is a plus</li><li>
Familiarity with large language models is a plus</li></ul>
In MA, the base salary range for this role is $125,000 &ndash; $135,000. 
Actual compensation will be determined based on location, experience, skills, and internal equity.
This role is also eligible for:<ul><li>
Annual performance-based bonus</li><li>
Equity (NASDAQ: MGNI)</li><li>
Comprehensive benefits package</li></ul>
During the interview process, candidates will receive more specific information about the salary range applicable to their experience and location.
Perks and Benefits:<ul><li>
Comprehensive Healthcare Coverage from Day One</li><li>
Generous Time Off
</li><li>Holiday Breaks and Quarterly Wellness Days</li><li>
Equity and Employee Stock Purchase Plan</li><li>
Family-Focused Benefits and Parental Leave</li><li>
401k Retirement Savings Plan with Employer Match</li><li>
Disability and Life Insurance</li><li>
Cell Phone Subsidy</li><li>
Monthly Fitness Reimbursement</li></ul>
Career Growth:
We support internal mobility, skill development, and leadership pathways through structured career frameworks and learning programs.
Company Culture:
Magnite&rsquo;s culture is rooted in collaboration and connection, recognizing that both are essential to success. Our hybrid schedule includes two remote workdays (Monday and Friday) and three in-office days (Tuesday through Thursday), where employees can take advantage of catered lunches, beverages, snacks, training opportunities, and engaging office events that enhance the work experience. In addition, we support our team through meaningful benefits and programs, including community service and volunteer opportunities, company-matched charitable contributions, access to mental health resources, structured career development initiatives and growth frameworks, culture and inclusion programs, and our Bonusly peer-to-peer recognition platform.
About Us
The world's leading agencies and brands trust our platform to access brand-safe, high-quality ad inventory and execute billions of advertising transactions each month. Anchored in bustling New York City, sunny Los Angeles, mile-high Denver, historic London, and down under in Sydney, Magnite has offices across North America, EMEA, LATAM, and APAC.
Magnite is an Equal Opportunity Employer and does not discriminate against applicants due to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation or any other federal, state or local protected class.
Our Commitment: We aim to incorporate a wide range of voices into our Magnite culture, cultivating an environment where employees feel welcomed, cared for, and encouraged to freely share ideas. We are committed to employee growth, collaboration, inclusion, and innovation. We invest in Magnite&rsquo;s local communities. We seek talent from all backgrounds to champion corporate values of seeing the big picture and being catalysts of change.
Want to learn more about us?
Check out our blog for Magnite announcements and Ad Tech industry news!
Recruiting Agency Notice
Magnite does not accept agency resumes and is not responsible for any fees related to unsolicited resumes.</div>

Data Scientist (PHD Required)

adjoe

<div>
 
 
 adjoe is redefining the future of mobile ads.
 
 Powered by advanced AI, first-party data and world-class engineers, we&rsquo;ve perfected the offerwall experience for monetizing and scaling app publishers with solutions like Playtime and Arcade &ndash; now the fastest growing rewarded advertising channel globally &ndash; driving incremental engagement, retention, and revenue. At the same time, we&rsquo;re breaking into programmatic advertising with the intelligent bidding system of adjoe Ads. Together, this ecosystem connects app developers to over 600 million users worldwide for scalable growth. Operating from offices in Hamburg, Boston, Singapore, and Tokyo, adjoe is defining the next stages of app and ad experience &ndash; right now. Join us.
 
 
 
 
 Meet Your Team: Playtime Demand Solutions
 
 
 
 Playtime is a time- and event-based ad unit that continuously rewards users with in-app currency &ndash; for the time they spend and events completed while playing mobile games. We connect advertisers to 200+ million Playtime users and serve 2bn requests per day at low latency. We ensure that all parties involved have a positive experience. Advertisers get more users for their apps. Monetizers earn revenue for users on their platforms. Users play fun games while simultaneously getting rewarded.
 
 
 What you will do:
 
 <ul>
 
 <li>
 
 Operations:
 
 Own the first line of technical knowledge for the fast-growing Americas unit, acting as the go-to person for Account Managers and Business stakeholders.
 </li>
 
 <li>
 
 Investigations:
 
 Use your analytical skills to diagnose, resolve, or prioritize technical and data-related issues from the region.
 </li>
 
 <li>
 
 Improvements:
 
 Identify high-impact opportunities to enhance data and operational processes, working closely with the broader Data team to drive regional improvements.
 </li>
 
 <li>
 
 Development:
 
 Contribute to better reporting, monitoring, and alerting systems for global operations.
 </li>
 
 <li>
 
 Learn:
 
 Share your knowledge and learn from others within a large, growing data team
 </li>
 
 </ul>
 
 Who you are:
 
 <ul>
 
 <li>
 2+ years of experience in a Data, AdOps, or BizOps-related role.
 </li>
 
 <li>
 Strong SQL skills (CTEs, joins, aggregations).
 </li>
 
 <li>
 Hands-on Python for data manipulation and automation.
 </li>
 
 <li>
 Familiarity with Power BI, Tableau, QuickSight, Streamlit, SuperSet, or similar.
 </li>
 
 <li>
 Comfortable showcasing technical skills live without LLM assistance.
 </li>
 
 <li>
 Plus: Background in AdTech or Mobile App analytics.
 </li>
 
 <li>
 Plus__:__ Experience working cross-functionally with both technical and business teams.
 </li>
 
 <li>
 Plus: Experience with alerting systems, API integrations, or Airflow/dbt.
 </li>
 
 </ul>
 
 Fuel for the Journey: Benefits to Support Your Ambitions:
 
 <ul>
 
 <li>
 
 Work-Life Package
 
 : 2 remote days per week, 26 vacation days, 4 personal days, and initially 10 sick days, flexible working hours, 3 remote weeks (1 week at a time), office in the heart of Boston.
 </li>
 
 <li>
 
 Future &amp; Financial Health Package
 
 : Comprehensive medical, dental, and vision plans as well as 401K match program
 </li>
 
 <li>
 
 Activity Package
 
 : Regular team and company events, bi-annual trips to HQ in Hamburg, Germany!
 </li>
 
 <li>
 
 Education Package
 
 : Opportunities to boost your professional development with courses and training directly connected to your career goals
 </li>
 
 <li>
 Free of charge access to our
 
 EAP
 
 (Employee Assistance Program) which is a counseling service designed to support your mental health and well-being
 </li>
 </ul>
</div>

Business Analyst

Dana-Farber Cancer Institute

<div><div><div><div>Job Ref:</div><div>
JR-3226</div></div> 
<div><div>Location:</div><div>
450 Brookline Ave, BOSTON, MA 02215</div> 
</div>
<div><div>Category:</div><div>
Operations</div></div> 
<div><div>Employment Type:</div><div>
Full time</div></div> 
<div><div>Work Location:</div><div>
Hybrid: 2-3 days onsite/week</div></div> 
<div></div><div><div>Salary/Pay Rate:</div><div>
$110,500.00 - $123,300.00 per year</div>
</div></div>Overview
<div><div>The Principal Business Intelligence Analyst is responsible for leading end to end delivery on multiple Business Intelligence projects on time and of high quality. Depending on the skills and career goals of the analyst, their personal expertise may be either in business consulting and visualization, or technical data design and analysis, or both. The Principal Business Intelligence Analyst is a quantitative analytics professional who specializes in delivering actionable insights and analytics to business users, leveraging an enterprise analytics framework, infrastructure, and operating model. 
 
Pediatric Oncology Operations and ED&amp;A are entering a period of significantly increased analytic complexity, cross-institution collaboration, and high-visibility external reporting. In support of these needs, we are seeking an experienced principal analyst who can independently manage a portfolio of concurrent priorities, lead end-to-end delivery across complex data engineering and governance work, coordinate stakeholders across DFCI and Boston Children&rsquo;s Hospital (BCH), and ensure continuity for mission-critical operational and externally reported metrics.
Located in Boston and the surrounding communities, Dana-Farber Cancer Institute is a leader in life changing breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS, and related diseases. We strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high-risk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School-affiliated hospitals. 
MINIMUM JOB QUALIFICATIONS:
Minimum Education:
Bachelor&rsquo;s degree in a STEM field required.
Minimum Experience:
5 years of relevant experience, with at least 3 years in healthcare. Tableau and Clarity Data model experience preferred.
License/Certification/Registration:
Tableau certification required within 6 months of hire.
PRIMARY DUTIES AND RESPONSIBILITIES:
<ul><li>Responsible for independently leading multiple (2-3) projects simultaneously from end-to-end supporting multiple (2-3) business stakeholders. If needed, also able to independently manage the portfolio of priorities and relationship with at least one business stakeholder.</li><li>
Independently work with stakeholder to identify high level business need, develop project charter, and consult with the business to define scope.</li><li>
Lead business requirement gathering.</li><li>
Identify data source(s) and develop technical data design requirements.
</li><li>Develop viz wireframes and leverage BI tools to craft visualizations and dashboards. Write SQL queries to develop data sources.
</li><li>Collaborate with internal teams and stakeholders for QA and UAT.
</li><li>Conduct stakeholder training.
</li><li>Share knowledge within ED&amp;A and train senior analysts in project management and delivery.</li><li>
Contribute to development of analytic assets that can be used institute wide.</li><li>
Address stakeholder feedback, concerns and aim to deliver a high-level of customer service.
</li><li>Independently manages multiple projects and manages ongoing stakeholder/client interactions.
</li><li>Serves as a mentor and teacher within communities of practice.
</li><li>Serves as a project leader and directs the work of others who may, or may not, report into this role.
</li></ul>KNOWLEDGE, SKILLS, AND ABILITIES REQUIRED:
<ul><li>Expert with SQL.</li><li>
Expert with BI tools e.g., Tableau.</li><li>
Expert navigating Epic Hyperspace to Clarity Data Model to data warehouse.</li><li>
Able to set appropriate expectations, discuss and present results to customer in formal settings, share ideas accurately and communicate them effectively, both in writing and verbally with supervisory oversight.</li><li>
Ability to contribute to the development and growth of others.</li><li>
Strong project management and client service skills.</li><li>
Excellent interpersonal skills with ability to effectively interact with all levels of staff.</li><li>
Excellent analytical, organizational, and time management skills.</li><li>
Works easily with others as part of a larger project teams.</li><li>
Excellent attention to detail and accuracy.</li><li>
Curious and motivated learner.</li></ul>
SUPERVISORY RESPONSIBILITIES:
May have 1 to 3 direct reports. Project leader with matrixed supervision of others.
At Dana-Farber Cancer Institute, we work every day to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels they belong. As relentless as we are in our mission to reduce the burden of cancer for all, we are committed to having faculty and staff who offer multifaceted experiences. Cancer knows no boundaries and when it comes to hiring the most dedicated and compassionate professionals, neither do we. If working in this kind of organization inspires you, we encourage you to .
Dana-Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other characteristics protected by law.
<h3 class="jobSectionHeader">EEO Poster</h3>
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Pay Transparency Statement
The hiring range is based on market pay structures, with individual salaries determined by factors such as business needs, market conditions, internal equity, and based on the candidate&rsquo;s relevant experience, skills and qualifications.
For union positions, the pay range is determined by the Collective Bargaining Agreement (CBA).
$110,500.00 - $123,300.00</div></div></div>

Principal Business Intelligence Analyst

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