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data engineer ii - amz26123.1 Jobs in Boston

data engineer ii - amz26123.1

junior data engineer

Ratio Therapeutics

<div>
 
 About Ratio Therapeutics
 
 
 
 Ratio Therapeutics is committed to improving and extending the lives of cancer patients without sacrificing their quality of life. We are a team of passionate scientists, engineers, and business professionals dedicated to advancing the field of targeted radioligand therapy. To accomplish this, we utilize our proprietary TRILLIUM&trade; and MACROPA&trade; platforms: TRILLIUM&trade; allows fine-tuning of radioligand pharmacokinetics thereby enhancing the therapeutic index, while MACROPA&trade; simplifies the manufacturing process for the alpha-emitting isotope, actinium-225. These enabling platform technologies have resulted in an emergent pipeline of novel therapeutic candidates. We are looking for talented, dedicated, and creative individuals eager to help us advance these technologies from discovery research through clinical development. Join us in our quest to become the leading innovator in radioligand therapy and improve the lives of cancer patients and their families.
 
 
 
 About The Position
 
 
 
 Ratio Therapeutics is seeking a highly motivated and detail-oriented Junior Data Engineer to join our dynamic Data team. This role will be pivotal in building, maintaining, and monitoring data pipelines that support our laboratory, R&amp;D, and operational functions. The Junior Data Engineer will collaborate closely with scientists, engineers, and IT professionals to design and implement reliable data workflows, integrate data from diverse laboratory systems, and help establish best practices for data quality and governance.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design, implement, and maintain data pipelines that move and transform data from laboratory instruments, ELNs, LIMS, and other source systems into our centralized data platforms.
 </li>
 <li>
 Work closely with stakeholders to understand data requirements, data models, and workflows, and translate these into robust, well-documented data engineering solutions.
 </li>
 <li>
 Develop and maintain reusable scripts and automation (e.g., for file ingestion, API integrations, data transformations, and validation checks) using modern programming languages and tools (e.g., Python).
 </li>
 <li>
 Monitor data pipelines and jobs, investigate failures or performance issues, and help improve pipeline reliability, observability, and scalability over time.
 </li>
 <li>
 Implement data quality checks and validation rules to ensure completeness, consistency, and accuracy of laboratory and study data.
 </li>
 <li>
 Collaborate with the data team to deploy, version, and maintain data workflows in shared environments (e.g., dev/test/prod), following best practices for code review and change management.
 </li>
 <li>
 Contribute to documentation and standards for data schemas, pipeline designs, and data governance, helping to establish and refine best practices for the Data team.
 </li>
 <li>
 Support end users (scientists, analysts, and other stakeholders) by troubleshooting data-related issues and building small utilities or tools that make data easier to access and use.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Data Science, Engineering, Information Systems, Bioinformatics, or a related technical field, or equivalent practical experience.
 </li>
 <li>
 Foundational experience with programming for data work, preferably in Python or a similar language (through coursework, internships, or projects).
 </li>
 <li>
 Experience developing web-based user interfaces (e.g. VueJS, React).
 </li>
 <li>
 Understanding of ETL/ELT concepts and data pipelines, including working with structured data (e.g., CSV, relational databases) and semi-structured data (e.g., JSON).
 </li>
 <li>
 Basic experience with SQL for querying and transforming data.
 </li>
 <li>
 Familiarity with version control (e.g., Git) and collaborative software development practices is a plus.
 </li>
 <li>
 Exposure to data integration in a lab, biotech, or healthcare environment (e.g., ELN, LIMS, instrument data) is a plus but not required.
 </li>
 <li>
 Strong analytical and problem-solving skills, with an interest in debugging and improving data workflows.
 </li>
 <li>
 Excellent communication and collaboration skills, with the ability to work effectively with both technical and non-technical stakeholders.
 </li>
 <li>
 Exposure to cloud platforms (e.g., AWS, Azure, GCP) or data engineering tools (e.g., Airflow, dbt, Spark) is a plus.
 
 
 </li>
 </ul>
 The annual base salary for this role is expected to range between $65,000.00 and $70,000.00. This range is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. The actual base salary offered will depend on a variety of factors, including qualifications, work experience, skills, level of education attained, certifications or other professional licenses held, the location in which the applicant lives and/or from which they will be performing the job, and other job-related factors permitted by law.
</div>

Junior Data Engineer

Amazon Web Services

<div><h2 class="jobSectionHeader">DESCRIPTION</h2>
Employer: Amazon Web Services, Inc. 
Position: Data Engineer II 
Location: Boston, MA 
 
Multiple Positions Available: 
 
Design, develop, implement, test, document, and operate large-scale, high-volume, high-performance data structures for business intelligence analytics. Implement data structures using best practices in data modeling, ETL/ELT processes, SQL, Oracle, and OLAP technologies. Provide on-line reporting and analysis using OBIEE business intelligence tools and a logical abstraction layer against large, multi-dimensional datasets and multiple sources. Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions that work well within the overall data architecture. Analyze source data systems and drive best practices in source teams. Participate in the full development life cycle, end-to-end, from design, implementation and testing, to documentation, delivery, support, and maintenance. Produce comprehensive, usable dataset documentation and metadata. Evaluate and make decisions around dataset implementations designed and proposed by peer data engineers. Evaluate and make decisions around the use of new or existing software products and tools. Mentor junior data engineers. 
 
(40 hours / week, 8:00am-5:00pm, Salary Range $132100 - $178800) 
 
Amazon.com is an Equal Opportunity &ndash; Affirmative Action Employer &ndash; Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation<h2 class="jobSectionHeader"> 
BASIC QUALIFICATIONS</h2>
Master's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field and one year of experience in the job offered, or as a Operations Research Analyst, Database Developer, or a related occupation. Employer will accept a Bachelor's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field and five years of experience in the job offered or a related occupation as equivalent to the Master's degree and one year of experience. Must have one year of experience in the following skill(s): developing and operating large-scale data structures for business intelligence analytics using each of the following: ETL/ELT processes; OLAP technologies; data modeling; SQL; and Oracle. 
 
The pay range for this position in Boston, MA is $132100 - $178800 (yr); however, base pay offered may vary depending on job-related knowledge, skills, and experience A sign-on bonus and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered. This information is provided by Boston, MA Equal Pay Act. Base pay information is based on market location. Applicants should apply via Amazon's internal or external careers site.<h2 class="jobSectionHeader"> 
PREFERRED QUALIFICATIONS</h2>
All applicants must meet all the above listed requirements. 
 
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.</div>

Data Engineer II - AMZ26123.1

Ensono

<div>At Ensono, our Purpose is to be a relentless ally, disrupting the status quo and unleashing our clients to Do Great Things! We enable our clients to achieve key business outcomes that reshape how our world runs. As an expert technology adviser and managed service provider with cross-platform certifications, Ensono empowers our clients to keep up with continuous change and embrace innovation.

We can Do Great Things because we have great Associates. The Ensono Core Values unify our diverse talents and are woven into how we do business. These five traits are the key to achieving our purpose:Honesty, Reliability, Curiosity, Collaboration, and Passion.

About the role and what you&rsquo;ll be doing:

The Senior IAM Engineer serves as a technical authority and trusted advisor, leading the design and delivery of Identity and Access Management (IAM) solutions in support of complex application migrations and enterprise security initiatives.

Operating within client governance frameworks, this role partners closely with client stakeholders, architects, and security leadership to define IAM strategies, establish integration standards, and guide implementation outcomes. The Senior IAM Engineer is accountable for the technical quality, security posture, and scalability of IAM solutions and provides leadership across the IAM lifecycle&mdash;from design and implementation through migration, testing, and operational readiness.

While this role remains hands-on, it extends beyond execution to include technical decision-making, architectural leadership, and mentorship, ensuring IAM solutions align with business objectives, regulatory requirements, and enterprise security standards.

KEY RESPONSIBILITIES

IAM Architecture &amp; Design Leadership
<ul>
<li>Lead the design and implementation of IAM solutions across authentication, authorization, secrets management, identity governance, and privileged access domains</li>
<li>Define and maintain IAM reference architectures, integration patterns, and best practices aligned to enterprise standards</li>
<li>Provide technical recommendations and trade-off analysis balancing security, usability, scalability, and operational efficiency</li>
<li>Participate in architecture reviews and influence client IAM roadmaps and modernization strategies</li>
</ul>
Delivery Ownership &amp; Execution
<ul>
<li>Own IAM outcomes for assigned programs and migrations, ensuring solutions meet security, compliance, and performance expectations</li>
<li>Lead IAM readiness activities for migrations and cutovers, including risk identification, mitigation planning, and execution support</li>
<li>Guide and execute IAM configuration and integrations for SSO, MFA, federation, PAM, and secrets management</li>
<li>Develop and enhance accelerators, automation, and self-service capabilities to improve delivery efficiency and consistency</li>
</ul>
Security, Risk &amp; Compliance
<ul>
<li>Ensure IAM implementations align with enterprise security policies, regulatory requirements, and audit standards</li>
<li>Lead or coordinate IAM-related security testing, including authentication/authorization validation and vulnerability assessments</li>
<li>Identify IAM risks and proactively recommend remediation or improvement opportunities</li>
</ul>
Technical Leadership &amp; Collaboration
<ul>
<li>Serve as a point of escalation for complex IAM issues and defect resolution</li>
<li>Mentor junior engineers and review IAM designs, configurations, and documentation</li>
<li>Collaborate with application teams, cloud engineers, security operations, and governance partners to drive successful IAM adoption</li>
<li>Document IAM architectures, configurations, and operational procedures for long-term sustainability</li>
</ul>
We want all new Associates to succeed in their roles at Ensono. That&rsquo;s why we&rsquo;ve outlined the job requirements below. To be considered for this role, it&rsquo;s important that you meet all Required Qualifications. If you do not meet all of the Preferred Qualifications, we still encourage you to apply.

Required Qualifications:
<ul>
<li>7+ years of progressive experience in Identity and Access Management engineering, including leadership of complex IAM initiatives</li>
<li>Proven experience designing and implementing IAM solutions in large-scale, hybrid, or cloud environments</li>
<li>Demonstrated ability to act as a technical authority and advisor, influencing IAM decisions and standards</li>
<li>Hands-on expertise with enterprise IAM technologies, including:
<ul><li>Privileged Access Management (PAM)
<ul><li>CyberArk (Enterprise Password Vault, Privileged Session Manager, Central Credential Provider, Conjur)</li>
<li>HashiCorp Vault (secrets engines, policies, authentication methods, dynamic credentials)</li>
</ul></li><li>Authentication / Identity Providers (IDP)
<ul><li>ForgeRock (Access Management, Identity Management, Directory Services, Identity Gateway)</li>
<li>RSA (SecurID Authentication Manager, MFA, Identity Governance &amp; Lifecycle)</li>
</ul></li><li>User Access &amp; Entitlement Management
<ul><li>SailPoint (IdentityIQ, IdentityNow &ndash; access certifications, provisioning, role management)</li>
<li>ESF (Enterprise Security Framework &ndash; entitlement management and access controls)</li>
<li>Strong experience with authentication and federation protocols: SAML, OAuth 2.0, OpenID Connect, Kerberos</li>
<li>Advanced knowledge of Active Directory, LDAP, and identity integrations</li>
<li>Experience with cloud platforms (AWS, Azure) and cloud-native IAM services</li>
<li>Strong scripting and automation capabilities (PowerShell, Python, Terraform, or equivalent)</li>
</ul></li></ul></li><li>Excellent troubleshooting, analytical, and communication skills</li></ul> 


Preferred Qualifications:
<ul>
<li>CyberArk Certified Defender or Delivery Engineer</li>
<li>HashiCorp Certified Vault Associate / Professional</li>
<li>ForgeRock Certified Engineer</li>
<li>SailPoint Certified IdentityIQ Engineer</li>
<li>RSA Certified Administrator</li>
<li>Experience in financial services or highly regulated industries</li>
</ul>
Why Ensono?

Ensono is a place to make better happen &ndash; for our clients and for your career. You can do great things through innovation or collaboration, by learning or volunteering, or to promote diversity and inclusion. You can do great things for your own health or for a healthier planet. Whatever it means to you to do great things we want Ensono to be the place you can do it.

We are a client-facing business, but we do encourage clients to allow us to work remotely most of the time so if you are not required to be on a client site, you can choose to work from home or in our Ensono office 


Some of our benefits include:
<ul>
<li>Unlimited Paid Days Off</li>
<li>Three health plan options</li>
<li>401k with company match</li>
<li>Eligibility for dental, vision, short and long-term disability, life and AD&amp;D coverage, and flexible spending accounts</li>
<li>Family Forming Benefit including fertility coverage and adoption/surrogacy reimbursement</li>
<li>Paid childbearing and paternal leave</li>
<li>Education Reimbursement, Student Loan Assistance or 529 College Funding</li>
<li>Sabbatical leave</li>
<li>Wellness program</li>
<li>Flexible work schedule</li>
</ul>
As of the date of this posting, a good faith estimate of the current pay scale for this role is $125,000 to $150,000 annually based on a full-time schedule. Please note that placement in the range may vary based on numerous factors including but not limited to skills, experience, internal equity, and business needs. In addition to base salary, other compensation programs, depending on eligibility, include an annual bonus plan based on company and individual performance and an equity grant under our Associate Equity Appreciation Program.

Ensono is an Equal Opportunity/Affirmative Action employer. We are committed to providing equal employment to our Associates and building a diverse and inclusive workforce. All qualified applicants will be considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or other legally protected basis, in accordance with applicable law.

Pay transparency nondiscrimination statement/posting OFCCP&rsquo;s pay transparency policy can be found on OFCCP&rsquo;s website.

If you need accommodation at any point during the application or interview process, please let your recruiter know or email USTalentAcquisition@ensono.com.</div>

Senior IAM Engineer

America's Test Kitchen

<div>America's Test Kitchen is looking for a Lead Software Engineer. The Lead Software Engineer, Data and MarTech, is a senior technical leader embedded within a Scrum team, responsible for shaping how applications collect, process, and are delivered across the organization. This role sits at the intersection of software engineering, data architecture, and product delivery, ensuring that data systems are not only scalable and performant, but also reliable, well-modeled, and aligned to business needs.
Operating with a high degree of autonomy, this individual is expected to navigate ambiguity, make sound architectural decisions, and deliver solutions that span multiple systems and stakeholders. They play a critical role in translating loosely defined product and analytics requirements into durable data platforms and pipelines that enable both operational and strategic use cases.
Beyond delivery, the Lead Software Engineer sets the standard for engineering excellence within the team. They influence how work is structured, how quality is measured, and how systems evolve over time. Their presence should elevate the team&rsquo;s ability to deliver predictable, high-quality outcomes while reducing operational friction and improving data trust across the organization.
<h3 class="jobSectionHeader">Key Responsibilities</h3>
<ul><li>Design, build, and maintain scalable data pipelines and data services (batch and real-time)</li>
<li>Lead the architecture and evolution of data models, ensuring they support analytics, reporting, and product use cases</li>
<li>Break down complex data initiatives into actionable work aligned with Scrum delivery practices</li>
<li>Partner with Product, Analytics, and Engineering stakeholders to gather and refine requirements</li>
<li>Establish and enforce best practices for data engineering, including schema design, pipeline orchestration, and testing</li>
<li>Implement and maintain data quality frameworks, including validation, monitoring, and alerting</li>
<li>Define and uphold SLAs/SLOs for data availability, latency, and accuracy</li>
<li>Contribute high-quality production code and conduct thorough code reviews across the team</li>
<li>Identify, surface, and mitigate technical risks that could impact delivery or system reliability</li>
<li>Drive observability across data systems using logging, metrics, and tracing tools</li>
<li>Mentor engineers and elevate team capabilities in data engineering practices</li>
<li>Influence technical direction across teams and contribute to broader platform strategy</li>
</ul><h3 class="jobSectionHeader">Required Qualifications</h3>
<ul><li>7+ years of software engineering experience with a strong emphasis on data engineering</li>
<li>Proven experience designing and operating scalable data pipelines and distributed data systems</li>
<li>3+ years of experience designing data solutions on AWS</li>
<li>Proficiency in one or more programming languages such as Python, Java, or Scala</li>
<li>Experience with modern data technologies (e.g., Spark, Kafka, Airflow, dbt, Snowflake, Redshift, BigQuery)</li>
<li>Strong understanding of data modeling concepts, including dimensional modeling and data warehousing</li>
<li>Experience working within Agile/Scrum teams and contributing to sprint planning and execution</li>
<li>Hands on experience with real-time streaming and event-driven architectures</li>
<li>Demonstrated ability to solve complex technical problems with minimal direction</li>
</ul><h3 class="jobSectionHeader">Preferred Qualifications</h3>
<ul><li>Experience implementing data governance, lineage, and cataloging solutions</li>
<li>Exposure to machine learning workflows or data science collaboration</li>
<li>Prior experience leading technical initiatives or influencing multiple teams</li>
<li>Bachelor of Science in Computer Science or similar discipline</li>
</ul><h3 class="jobSectionHeader">Impact</h3>
This role is foundational to building a data-driven organization. By ensuring that data systems are reliable, scalable, and aligned to business needs, the Lead Software Engineer (Data) enables faster decision-making, more effective product development, and increased confidence in the organization&rsquo;s data assets. Their leadership directly contributes to reducing operational risk, improving data quality, and accelerating the delivery of high-impact data capabilities.
Location: This role is based in our Boston, MA headquarters (Seaport District) or is open to qualified remote applicants.
Salary Range: $ 140,000 - $ 160,000
The range provided is based on what we reasonably expect to pay for this job as of the time of posting. The actual salary offered will be determined based on multiple factors, including but not limited to the candidate&rsquo;s relevant experience, job-related knowledge, skills, geographical location, and other job-related factors permitted by law.
About America&rsquo;s Test Kitchen:
The mission of America&rsquo;s Test Kitchen (ATK) is to empower and inspire confidence, community, and creativity in the kitchen. Founded in 1992, the company is the leading multimedia cooking resource serving millions of fans with TV shows (America&rsquo;s Test Kitchen, Cook's Country, and America&rsquo;s Test Kitchen: The Next Generation), award-winning magazine (Cook&rsquo;s Illustrated) and limited-edition newsstand issues, cookbooks, podcasts, FAST channels, short-form video series, and the ATK Essential Membership for digital content. Based in a state-of-the-art 15,000-square-foot test kitchen in Boston&rsquo;s Seaport District, ATK has earned the trust of home cooks and culinary experts alike thanks to its one-of-a-kind processes and best-in-class techniques. Fifty full-time (admittedly very meticulous) test cooks, editors, and product testers spend their days tweaking every variable to find the very best recipes, equipment, ingredients, and techniques. Learn more at https://www.americastestkitchen.com/.
Why America&rsquo;s Test Kitchen:
We're passionate about cooking, and about creating the best place to work. We're small enough for your ideas to make a big impact, and large enough to offer you opportunities to grow professionally at any stage of your career. We want you to take risks and make mistakes &mdash; that's how innovation happens in our test kitchen, in our offices, and in life.
We at America&rsquo;s Test Kitchen believe food media can be a powerful force for social change. We are passionate about building an inclusive workforce that represents many different cultures, backgrounds, abilities, identities, and perspectives.
We welcome your application.</div>

Lead Software Engineer, Data and MarTech

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

Klaviyo

<div><div>At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny.</div><h2 class="jobSectionHeader">
Senior AI Platform Engineer</h2>

At Klaviyo, we believe the future of software lies not in productivity tools for human users but in software that can run and optimize itself based on outcome or reward metrics. We've built the infrastructure and application that serve as the interface between businesses and consumers. We now have over 167,000 customers, billions of consumer profiles, and hundreds of billions of customer messages and follow-on conversion data. We have a big opportunity to build state-of-the-art AI and machine learning technologies at Klaviyo to power our products and develop AI agents that can automatically create and execute marketing or customer experiences, strategies, and campaigns for any business.

As a Senior AI Platform Engineer, you'll play a key role in designing and scaling the backend systems that power our AI products and agent solutions. This backend-heavy role gives you opportunities to influence architecture, async processing, and distributed systems. You'll collaborate closely with product managers, ML engineers, and data scientists to deliver real-world impact at scale.

This role is hybrid and based in Boston.

How you'll make a difference:
<ul>
<li>Design and build backend systems to scale AI solutions for 167K+ customers.</li>
<li>Contribute to our agentic architecture to support performant AI agents.</li>
<li>Build tools to tune LLM-based features, deploy agents, MCP and RAG in production, and evaluate performance using tools like Arize, OpenAI, Bedrock, LangChain, vLLM and Ray.</li>
<li>Develop reliable, scalable data pipelines and APIs for AI systems.</li>
<li>Foster a culture of ownership, experimentation, and customer-first thinking.</li>
</ul>
Who You Are:

We encourage candidates to apply even if they do not meet all the qualifications listed. AI Ops is a rapidly evolving space and we are all constantly learning!
<ul>
<li>5+ years of experience as a backend software engineer, building scalable, distributed systems.</li>
<li>Strong experience working in production environments and launching ML/AI projects.</li>
<li>Hands-on experience with generative AI and agentic AI applications in production.</li>
<li>Proficient in Python (or similar).</li>
<li>Comfortable collaborating with cross-functional technical partners.</li>
<li>Curious, proactive, and eager to learn.</li>
</ul>
Nice to Have:
<ul>
<li>Experience with big data tools (e.g., Apache Spark, Ray).</li>
<li>Familiarity with cloud infrastructure (AWS, Terraform, Kubernetes).</li>
<li>Knowledge of ML frameworks (Huggingface, PyTorch, TensorFlow, Keras).</li></ul> 


We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.

Please see the independent bias audit report covering our use of Covey here<div>
This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance.

Get to Know Klaviyo

We're Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we're developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators&mdash;ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you're ready to do the best work of your career, where you'll be welcomed as your whole self from day one and supported with generous benefits, we hope you'll join us.

AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed.

By participating in Klaviyo's interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice. 

Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law.
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<div><div><div><div><div><div><div><div><div><div><div>IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls.</div>
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<div>By clicking &quot;Submit Application&quot; you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application. You can find our Job Applicant Privacy Notice here and here (FR).</div></div></div></div></div></div></div></div></div></div></div></div></div></div><div></div>

Senior AI Platform Engineer

Liberty Mutual Insurance

<div>Description
<div>Senior Data Engineer, Cloud &amp; Core Data Warehouse 
At Liberty Mutual Investments Technology, we are building a modern, cloud-based data platform to power investment insights and decision-making across our portfolio. We are seeking a Senior Data Engineer to join our Core Data team, focused on designing and delivering scalable data warehouse solutions in Snowflake on AWS. In this role, you will develop high-quality data pipelines and solutions that enable trusted, accessible data for our investment teams. You&rsquo;ll have the opportunity to work hands-on with emerging AI capabilities&mdash;including Snowflake&rsquo;s latest AI Cortex features&mdash;while leveraging and helping shape the rollout of AI-powered developer tools to accelerate innovation and modernize how we build data solutions. You&rsquo;ll work in a collaborative, agile environment alongside engineers, analysts, and business partners, helping to shape the evolution of our data platform while contributing to a culture of continuous learning and engineering excellence. 
Note: This role will have a hybrid work arrangement in our Boston office (2x per week) 
Responsibilities<ul><li>
Design, build, and maintain scalable data pipelines and data solutions that support analytics and investment insights.</li><li>
Develop data provisioning workflows, transformations, and integrations using Snowflake&rsquo;s cloud-native capabilities in an AWS environment.</li><li>
Apply data warehousing best practices, including data modeling, performance optimization, and scalable architecture design.</li><li>
Build and enhance ELT pipelines using Snowflake and Python to ensure reliable and efficient data processing.</li><li>
Partner with data engineers, analysts, and business stakeholders to understand requirements and deliver high-quality data solutions.</li><li>
Support and enhance data quality, governance, and observability practices across the platform.</li><li>
Contribute to CI/CD pipelines and deployment processes, improving automation and reliability of data workflows.</li><li>
Work with enterprise orchestration tools (e.g., ActiveBatch, transitioning to Stonebranch) to manage and schedule data workflows.</li><li>
Participate in code reviews, knowledge sharing, and mentoring, helping to elevate engineering practices across the team.</li><li>
Stay current with evolving data engineering tools and practices, and recommend improvements where appropriate.</li></ul> 
About Us
Liberty Mutual Investments manages Liberty Mutual Insurance Group&rsquo;s global financial assets across public and private markets. Our technology team partners closely with investment professionals to deliver innovative data and analytics solutions that support informed decision-making and long-term growth. We are committed to fostering an inclusive, collaborative environment where employees can grow their careers while making a meaningful impact.</div>
Qualifications<div><ul><li>
Bachelor&rsquo;s degree in a technical or business discipline, or equivalent experience.</li><li>
5+ years of experience in data engineering, with a focus on building and maintaining scalable data pipelines and data platforms.</li><li>
Strong proficiency in SQL and solid understanding of data modeling and data warehousing concepts.</li><li>
Experience with Snowflake and AWS services (e.g., S3, Lambda) in a cloud-based data environment.</li><li>
Experience using Python for data transformation, integration, or automation.</li><li>
Familiarity with ELT/ETL pipeline development and modern data architecture patterns.</li><li>
Experience with CI/CD tools and practices (e.g., GitHub Actions, Bamboo, Jenkins, or similar).</li><li>
Experience working with or exposure to workflow orchestration tools.</li></ul> 
Highly candidates will also have:<ul><li>
Experience in investments, asset management, or financial services.</li><li>
Familiarity with API-based integrations (e.g., REST services).</li><li>
Exposure to data governance, security, and access control practices.</li><li>
Experience with modern data tooling (e.g., data observability, cataloging, or transformation frameworks).</li></ul></div>
About Us
Pay Philosophy: The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role. 
At Liberty Mutual, our goal is to create a workplace where everyone feels valued, supported, and can thrive. We build an environment that welcomes a wide range of perspectives and experiences, with inclusion embedded in every aspect of our culture and reflected in everyday interactions. This comes to life through comprehensive benefits, workplace flexibility, professional development opportunities, and a host of opportunities provided through our Employee Resource Groups. Each employee plays a role in creating our inclusive culture, which supports every individual to do their best work. Together, we cultivate a community where everyone can make a meaningful impact for our business, our customers, and the communities we serve. 
We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: https://www.libertymutualgroup.com/about-lm/careers/benefits 
 
Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law. 
 
Fair Chance Notices<ul><li>
California</li><li>
Los Angeles Incorporated</li><li>
Los Angeles Unincorporated</li><li>
Philadelphia</li><li>
San Francisco</li></ul></div>

Senior Data Engineer, Investments Technology

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