agentic ai teacher , agi data services Jobs in Boston

agentic ai teacher , agi data services

ai annotator, agi data services Jobs in Boston

ai annotator, agi data services

ai data trainer, agi data services Jobs in Boston

ai data trainer, agi data services

bi developer / data analyst Jobs in Boston

bi developer / data analyst

business strategy and data analyst Jobs in Boston

business strategy and data analyst

ai data trainer agi data services

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Amazon is looking for an AI Data Trainer to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities.<br>
<br>
Key job responsibilities<br>
As an AI Data Trainer, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. Your key responsibilities will include (but not limited to) the below:<br>
<br>
<ul><li>Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content</li><li>Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines</li><li>Performing audits and quality checks of tasks completed by other specialists, if required</li><li>Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks</li><li>Diving deep into issues and implementing solutions independently</li><li>Identifying and reporting tooling bugs and suggesting improvements</li></ul></div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>An Associate&rsquo;s Degree or related work experience.</li><li>2+ years of experience working with written language data, including experience with annotation, and other forms of data markup.</li><li>Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C2 level in the Common European Framework CEFR scale).</li><li>Strong understanding of U.S.-based culture, society, and norms.</li><li>Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism.</li><li>Excellent attention to details and ability to focus for a long period of time.</li><li>Comfortable with high-school level STEM</li><li>Ability to effectively write and evaluate diverse subject matter across various domains</li><li>Ability to adapt writing style to suit various style guidelines and customers.</li><li>Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy.</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Bachelor&rsquo;s degree in a relevant field or equivalent professional experience.</li><li>Experience with creating complex data for LLM training and evaluation.</li><li>1+ year(s) of experience working with command line interfaces and basic UNIX commands.</li><li>Familiarity with common markup languages such as HTML, XML, Markdown.</li><li>Familiarity with common standard text formats such as JSON, CSV, RTF.</li><li>Working knowledge of Python or another scripting language.</li><li>Familiarity with regular expressions syntax.</li><li>Familiarity with Large Language Models.</li><li>Comfort in annotation work that may include sensitive content.</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
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.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $40,400/year in our lowest geographic market up to $86,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

AI Data Trainer, AGI Data Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Applied Scientist with a strong deep learning background, to help build industry-leading technology with generative AI (GenAI) and multi-modal systems.<br>
<br>
Key job responsibilities<br>
As an Applied Scientist with the AGI team, you will work with talented peers to develop algorithms and modeling techniques to advance the state of the art with multi-modal systems. Your work will directly impact our customers in the form of products and services that make use of vision and language technology. You will leverage Amazon&rsquo;s large-scale computing resources to accelerate development with multi-modal Large Language Models (LLMs) and GenAI in Computer Vision.<br>
<br>
About the team<br>
The AGI team has a mission to push the envelope with multimodal LLMs and GenAI in Computer Vision, in order to provide the best-possible experience for our customers.</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience</li><li>1+ years of building models for business application experience</li><li>Experience programming in Java, C++, Python or related language</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>PhD in computer science, machine learning, engineering, or related fields</li><li>Experience with deep learning libraries such as PyTorch, TensorFlow, MxNet Research publications in computer vision, deep learning or machine learning at peer-reviewed workshops, conferences or journals</li><li>Experience with learning multi-modal LLMs and Gen AI in Computer Vision, both in the image and video domains</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
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.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Applied Scientist, Artificial General Intelligence

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Amazon is investing in generative AI and the responsible development and deployment of Large Language Models (LLMs) across all of our businesses. As part of the Data Team, you will deliver high-quality training data to improve and expand our proprietary LLM capabilities.
<br>
<br>
We seek innovative candidates who can solve complex problems and drive technological advancement in AI. Your work will directly impact how Amazon's customers interact with our AI systems across multiple business lines.<br>
<br>
Key job responsibilities<br>
<ul><li>Create and annotate high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content
</li><li>Write grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines
</li><li>Utilize Python and SQL to automate and optimize data processing workflows
</li><li>Interpret technical documentation to implement solutions accurately
</li><li>Dive deep into issues and implement solutions independently
</li><li>Identify and report tooling bugs and suggest improvements
</li><li>Make sound judgments and logical decisions when faced with ambiguous or incomplete information
</li></ul><br>
About the team<br>
Amazon strives to be the world&rsquo;s most customer-centric company, where customers can research and purchase anything they might want online or offline. We set big goals and are looking for people who can help us reach and exceed them. The AGI organization provides AI capabilities for a variety of Amazon products and searches. We provide secure, flexible, cost effective, and high-quality data development services to our customers, that enables them to build advanced ML models.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>Bachelor&rsquo;s degree in a relevant field or equivalent professional experience.</li><li>Advanced English-level language proficiency (C1+ or equivalent fluency by Common European Framework of Reference for Languages (CEFR) standards).</li><li>Proven experience working with written language data, including experience with annotation, and other forms of data markup.</li><li>Familiarity with critical concepts such as Python, scripting language, data structures etc.</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy.</li><li>Experience managing stakeholder relationships across departments.</li><li>Advanced-level proficiency in multiple languages (C1+ or equivalent fluency by Common European Framework of Reference for Languages (CEFR) standards).</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
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.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $40,400/year in our lowest geographic market up to $86,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Agentic AI Teacher , AGI Data Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
As a Principal Applied Scientist within the Artificial General Intelligence (AGI) organization, you are a trusted part of the technical leadership. You bring business and industry context to science and technology decisions, set the standard for scientific excellence, and make decisions that affect the way we build and integrate algorithms.
<br>
<br>
A Principal Applied Scientist will solicit differing views across the organization and are willing to change your mind as you learn more. Your artifacts are exemplary and often used as reference across organization. You are a hands-on scientific leader; develop solutions that are exemplary in terms of algorithm design, clarity, model structure, efficiency, and extensibility; and tackle intrinsically hard problems acquiring expertise as needed.
<br>
<br>
Principal Applied Scientists are expected to decompose complex problems into straightforward solutions. You will amplify your impact by leading scientific reviews within your organization or at your location; and scrutinize and review experimental design, modeling, verification and other research procedures. You will also probe assumptions, illuminate pitfalls, and foster shared understanding; align teams toward coherent strategies; and educate keeping the scientific community up to date on advanced techniques, state of the art approaches, the latest technologies, and trends.<br>
<br>
AGI Principal Applied Scientists help managers guide the career growth of other scientists by mentoring and play a significant role in hiring and developing scientists and leads. You will play a critical role in driving the development of Generative AI (GenAI) technologies that can handle Amazon-scale use cases and have a significant impact on our customers' experiences.<br>
<br>
Key job responsibilities<br>
You will be responsible for defining key research directions, inventing new machine learning techniques, conducting rigorous experiments, and ensuring that research is translated into practice. You will also develop long-term strategies, persuade teams to adopt those strategies, propose goals and deliver on them.
<br>
<br>
A Principal Applied Scientist will participate in organizational planning, hiring, mentorship and leadership development. You will build scalable science and engineering solutions, and serve as a key scientific resource in full-cycle development (conception, design, implementation, testing to documentation, delivery, and maintenance).</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>Graduate degree in Computer Science, Math, or related field.</li><li>Experience in building complex, real-time systems involving AI, ML, and NLP with successful delivery to customers.</li><li>Experience with project delivery for large, cross-functional projects with evolving requirements.</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>PhD with specialization in Artificial Intelligence, Natural Language Processing, Machine Learning, or Computational Cognitive Science</li><li>10+ years of combined academic and research experience</li><li>First author research on scaling laws, evaluation metrics, data mixture optimization, data efficiency, or neural network architectures in top-tier journals and conferences</li><li>Functional thought leader and sought after for key tech decisions</li><li>Experience influencing decisions at an executive level</li><li>Experience mentoring and training the research scientist community on complex technical issues</li><li>Experience distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectives</li><li>Excellent written and spoken communication skills with successful delivery to customers</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
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.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $179,000/year in our lowest geographic market up to $309,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Principal Applied Scientist, Artificial General Intelligence

Verndale

<div><p><b>About the Data Engineer Position</b></p><p>
At Verndale, we are building a next-generation Data &amp; Analytics practice designed to help organizations transform their complex data ecosystems into engines of clarity and intelligent action. Our vision is to empower clients to unlock hidden opportunities, optimize operations, and accelerate profitable growth through modern data architectures, trusted data management, advanced analytics, and AI-driven solutions. As part of a digital experience services firm with a strong heritage in customer experience and marketing technology, our Data &amp; Analytics team extends Verndale&rsquo;s core capabilities to deliver seamlessly integrated, insight-driven solutions that fuel personalization, operational excellence, and strategic foresight. We are pragmatic innovators, grounded in Verndale&rsquo;s entrepreneurial culture, who design scalable, well-governed data platforms and embed intelligence into business workflows, enabling clients to thrive in the era of generative AI and beyond.
</p><p><b>What You&rsquo;ll Do</b></p><ul><li>
Design, build, and maintain robust ETL/ELT pipelines (batch and streaming) that move data from diverse source systems into analytics, AI, and machine learning platforms.
</li><li>Develop and optimize data architectures (data lakes, warehouses, lakehouses, marts) that support real-time and batch analytics, ML workflows, and personalization use cases.
</li><li>Build automation and orchestration for data pipelines using modern workflow tools (Airflow, Prefect, dbt, Azure Data Factory, etc.).
</li><li>Partner with data architects, analysts, and client stakeholders to translate business requirements into technical designs and deliver data products with impact.</li><li>
Ensure data quality, lineage, observability, and security through validation, monitoring, and governance best practices.
</li><li>Optimize performance and cost-efficiency of pipelines and storage, leveraging partitioning, indexing, and query tuning.
</li><li>Support cloud-first architectures across AWS, Azure, and GCP, integrating services for compute, storage, and real-time data processing.
</li><li>Contribute to proofs of concept, platform migrations, and modernization efforts for client data platforms.
</li><li>Mentor junior engineers and contribute to the team&rsquo;s culture of technical excellence and continuous learning.
</li></ul><p><b>What We&rsquo;re Looking For
</b></p><ul><li>2&ndash;4+ years of experience in building production-grade data pipelines and data systems.</li><li>
Strong proficiency in SQL, Python, or Java/Scala, with experience in distributed data frameworks (Apache Spark, Presto, EMR)</li><li>
Experience with modern data platforms (Snowflake, BigQuery, Redshift, Databricks, Synapse)</li><li>
Hands-on skills with streaming technologies (Kafka, Kinesis, Pub/Sub) and real-time data ingestion</li><li>
Knowledge of data modeling principles and schema design for analytics and operational systems</li><li>
Familiarity with DevOps and CI/CD practices for data, including version control (GitHub/GitLab), testing, and deployment automation.</li><li>
Exposure to data governance, security, compliance, and observability frameworks (lineage, monitoring, metadata/catalog tools)</li><li>
Ability to collaborate in a consulting/client-facing environment, balancing technical depth with pragmatic delivery</li><li>
Employs generative AI (e.g. ChatGPT, Gemini, Claude) to accelerate code development, ETL pipeline design, and troubleshooting processes.</li><li>
Excellent communication skills, with the ability to explain trade-offs and design choices to both technical and non-technical stakeholders.
</li></ul><p><b>Nice-to-Have Skills</b></p><ul><li>
Experience with MLOps and preparing data pipelines for ML/AI model training, deployment, and monitoring</li><li>
Familiarity with modern data stack tools (dbt, Fivetran, Matillion, Terraform) and infrastructure-as-code practices</li><li>
Background in real-time personalization or event-driven architectures</li><li>
Exposure to NoSQL and graph databases (MongoDB, Cosmos DB, DynamoDB, Neo4j).
</li><li>Experience with containerization/orchestration platforms (Docker, Kubernetes, ECS).
</li><li>Familiarity with metadata, semantic layers, or catalog tools (e.g. Unity Catalog, Data Catalogs) and/or data observability tooling.</li><li>
Prior experience in a digital experience or consulting services environment, ideally integrating data with DXP, MarTech, or Commerce platforms.</li><li>
Contributions to open source, thought leadership, or participation in data/AI community events.</li></ul><h2 class="jobSectionHeader"><b>
Ten Great Reasons to Work at Verndale</b></h2><ul><li>
We are a rapidly growing company that is just as entrepreneurial today as when we were founded in 1998.</li><li>
We are relentlessly curious and enthusiastically solve our clients&rsquo; complex business problems through technology, data, and design.</li><li>
We foster a culture that enables every person in the organization to do the best work of their career.</li><li>
We offer regular training and professional development to move careers forward.</li><li>
Client and employee satisfaction are our two most important business metrics.</li><li>
We celebrate and champion diversity, equity, and inclusion.</li><li>
We offer generous paid company holidays, vacation, and paid sick time to every employee starting on day one.</li><li>
We provide top-of-the-line benefits including health, dental, vision, 401K, LTD, STD, Life Insurance, EAP, HRA and more.</li><li>
We support a healthy work/life balance.</li><li>
We are fully remote enabled and embrace the evolving definition of the workplace.</li></ul><h2 class="jobSectionHeader"><b>
About Verndale</b></h2><p>
Verndale is a digital experience agency dedicated to driving growth by helping businesses create meaningful human connections in an increasingly digital world. With offices in Boston, Montreal, Los Angeles, Quito, and hubs across the Americas, we partner with marketing and technology leaders to deliver personalized web, mobile, and ecommerce solutions that elevate customer experiences.<br>
At Verndale, we thrive on collaboration and innovation, offering a full range of services that span strategy, design, development, personalization, SEO, analytics, and digital advertising. We celebrate diversity and inclusion, striving to create a climate of respect essential for both individual and company success.<br>
If you're ready to be part of a passionate team dedicated to making an impact and driving growth, we invite you to explore a career at Verndale.</p><p><b>
Compensation &amp; Benefits</b></p><p>
$85,000 - $120,000 USD<br>
In accordance with applicable law, the above salary range provided is Verndale's reasonable estimate of the salary for this role. The actual amount may vary, based on non-discriminatory factors such as location, experience, knowledge, skills and abilities. In addition to salary, Verndale also offers a competitive benefits package.<br>
Verndale is proud of the fun, diverse, and respectful company environment we enjoy on a daily basis. Competitive compensation and comprehensive coverage for medical, dental, life, disability and a 401(k) savings plan are offered to all full-time employees. Ample company paid holidays and personal time off make having a work-life balance possible. For some roles, remote work is a definite possibility; we believe in hiring the best and keeping our own happy and motivated.<br>
 Verndale is an Equal Opportunity Employer. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.</p><p>
</p><p>jc2wTS1ciY</p></div>

Data Engineer

<div><p><b>About the Data Architect Position</b></p><p>
At Verndale, we are building a next-generation Data &amp; Analytics practice designed to help organizations transform their complex data ecosystems into engines of clarity and intelligent action. Our vision is to empower clients to unlock hidden opportunities, optimize operations, and accelerate profitable growth through modern data architectures, trusted data management, advanced analytics, and AI-driven solutions. As part of a digital experience services firm with a strong heritage in customer experience and marketing technology, our Data &amp; Analytics team extends Verndale&rsquo;s core capabilities to deliver seamlessly integrated, insight-driven solutions that fuel personalization, operational excellence, and strategic foresight. We are pragmatic innovators, grounded in Verndale&rsquo;s entrepreneurial culture, who design scalable, well-governed data platforms and embed intelligence into business workflows, enabling clients to thrive in the era of generative AI and beyond.
</p><p><b>What You&rsquo;ll Do</b></p><ul><li>
Architect and design modern cloud-based data platforms (Snowflake, Databricks, AWS, Azure, GCP) that support enterprise-scale analytics, AI/ML, and digital experience solutions.</li><li>
Define logical and physical data models, dimensional models, data standards, and architecture blueprints to ensure scalability, reliability, and security.</li><li>
Lead the design and implementation of data ingestion, integration, and transformation pipelines (ETL/ELT) leveraging tools like dbt, Fivetran, or equivalent.</li><li>
Partner with clients to assess current-state architectures, identify pain points, and design future-state roadmaps aligned with their business objectives.</li><li>
Establish and enforce data governance, metadata management, and data quality frameworks to ensure trusted, well-documented, and compliant data assets.</li><li>
Collaborate with analytics leads, engineers, and client stakeholders to translate complex requirements into actionable, sustainable solutions.</li><li>
Drive innovation in data &amp; AI strategy: assess emerging technologies (e.g. GenAI, RAG, MLOps) and help incorporate them into client or internal roadmaps.</li><li>
Support proof-of-concept initiatives, platform evaluations, and migration strategies (e.g., legacy data warehouse to cloud) with a focus on speed-to-value.</li><li>
Participate in pre-sales and client workshops, contributing architecture expertise to solution shaping, scoping, and estimation.</li><li>
Mentor engineers and analysts, providing architectural oversight to ensure delivery excellence.</li></ul><p><b>
What We&rsquo;re Looking For
</b></p><ul><li>7+ years of experience in data architecture, engineering, or solution design, with demonstrated success delivering modern data platforms at scale.</li><li>
Strong expertise in cloud data platforms (Snowflake, Redshift, BigQuery, Databricks, Synapse) and modern data ecosystem components (streaming, orchestration, MDM, cataloging).</li><li>
Proficiency in designing end-to-end architectures, including ingestion, storage, processing, semantic layers, and analytics enablement.</li><li>
Hands-on skills in SQL, Python, or Java; experience with distributed processing frameworks (e.g., Apache Spark, Presto, EMR).</li><li>
Design and implement scalable data architecture using Medallion Architecture (Bronze, Silver, Gold layers) to transform raw data into curated, business-ready datasets. &bull;</li><li>
Familiarity with containerization and orchestration (Kubernetes, Docker, ECS) and modern workflow tools (Airflow, dbt, Dagster).</li><li>
Experience implementing data security, compliance, and governance standards (RBAC, data privacy regulations, lineage, observability).</li><li>
Exposure to big data frameworks like Spark (PySpark), Hadoop ecosystem, Flink, or similar.</li><li>
Proven ability to lead client-facing workshops, communicate tradeoffs, and gain alignment on solution design.</li><li>
Leverages generative AI tools (e.g., ChatGPT, Gemini, Claude) to accelerate solution design, documentation, and architecture decision-making.</li><li>
Experience working in consulting or digital services environments, balancing technical rigor with pragmatic delivery.</li></ul><p><b>
Nice-to-Have Skills</b></p><ul><li>
Exposure to DXP ecosystems (Sitecore, Optimizely, Salesforce Marketing Cloud) and integrating marketing/customer data platforms.</li><li>
Knowledge of machine learning, AI, and GenAI use cases, with the ability to design data architectures that support model training, deployment, and monitoring.</li><li>
Familiarity with real-time data streaming and event-driven architectures (Kafka, Kinesis, Pub/Sub).</li><li>
Background in data monetization strategies (e.g., building data products, APIs, insights-as-a-service).</li><li>
Experience in pre-sales, partner ecosystem collaboration, or solution accelerators with Snowflake, Databricks, or hyperscalers.</li><li>
Contributions to community (open source, thought leadership, conferences) reflecting a passion for innovation in data &amp; analytics</li></ul><h2 class="jobSectionHeader"><b>
Ten Great Reasons to Work at Verndale</b></h2><ul><li>
We are a rapidly growing company that is just as entrepreneurial today as when we were founded in 1998.</li><li>
We are relentlessly curious and enthusiastically solve our clients&rsquo; complex business problems through technology, data, and design.</li><li>
We foster a culture that enables every person in the organization to do the best work of their career.</li><li>
We offer regular training and professional development to move careers forward.</li><li>
Client and employee satisfaction are our two most important business metrics.</li><li>
We celebrate and champion diversity, equity, and inclusion.</li><li>
We offer generous paid company holidays, vacation, and paid sick time to every employee starting on day one.</li><li>
We provide top-of-the-line benefits including health, dental, vision, 401K, LTD, STD, Life Insurance, EAP, HRA and more.</li><li>
We support a healthy work/life balance.</li><li>
We are fully remote enabled and embrace the evolving definition of the workplace.</li></ul><h2 class="jobSectionHeader"><b>
About Verndale</b></h2><p>
Verndale is a digital experience agency dedicated to driving growth by helping businesses create meaningful human connections in an increasingly digital world. With offices in Boston, Montreal, Los Angeles, Quito, and hubs across the Americas, we partner with marketing and technology leaders to deliver personalized web, mobile, and ecommerce solutions that elevate customer experiences.<br>
At Verndale, we thrive on collaboration and innovation, offering a full range of services that span strategy, design, development, personalization, SEO, analytics, and digital advertising. We celebrate diversity and inclusion, striving to create a climate of respect essential for both individual and company success.<br>
If you're ready to be part of a passionate team dedicated to making an impact and driving growth, we invite you to explore a career at Verndale.</p><p><b>
Compensation &amp; Benefits</b></p><p>
$125,000 - $150,000 USD<br>
In accordance with applicable law, the above salary range provided is Verndale's reasonable estimate of the salary for this role. The actual amount may vary, based on non-discriminatory factors such as location, experience, knowledge, skills and abilities. In addition to salary, Verndale also offers a competitive benefits package.<br>
Verndale is proud of the fun, diverse, and respectful company environment we enjoy on a daily basis. Competitive compensation and comprehensive coverage for medical, dental, life, disability and a 401(k) savings plan are offered to all full-time employees. Ample company paid holidays and personal time off make having a work-life balance possible. For some roles, remote work is a definite possibility; we believe in hiring the best and keeping our own happy and motivated.<br>
 Verndale is an Equal Opportunity Employer. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.</p><p>
</p><p>HQS2fdzJxw</p></div>

Data Architect

<div><p><b>About the BI Developer / Data Analyst Position</b></p><p>
At Verndale, we are building a next-generation Data &amp; Analytics practice designed to help organizations transform their complex data ecosystems into engines of clarity and intelligent action. Our vision is to empower clients to unlock hidden opportunities, optimize operations, and accelerate profitable growth through modern data architectures, trusted data management, advanced analytics, and AI-driven solutions. As part of a digital experience services firm with a strong heritage in customer experience and marketing technology, our Data &amp; Analytics team extends Verndale&rsquo;s core capabilities to deliver seamlessly integrated, insight-driven solutions that fuel personalization, operational excellence, and strategic foresight. We are pragmatic innovators, grounded in Verndale&rsquo;s entrepreneurial culture, who design scalable, well-governed data platforms and embed intelligence into business workflows, enabling clients to thrive in the era of generative AI and beyond.
</p><p><b>What You&rsquo;ll Do</b></p><ul><li>
Develop, maintain, and deploy dashboards, reports, and self-service BI solutions (Power BI, Tableau, Looker, or equivalent) that provide stakeholders with timely, reliable insights.</li><li>
Partner with business users to translate requirements into KPIs, metrics, and data models, ensuring alignment between business objectives and data solutions.</li><li>
Design and implement semantic data models (dimensional schemas, star/snowflake) to support scalability, extensibility, and data storytelling.</li><li>
Perform data profiling, validation, and exploratory analysis to uncover patterns, discrepancies, and business opportunities.</li><li>
Support ad-hoc analysis and data-driven decision-making, preparing datasets, creating visualizations, and presenting findings to stakeholders.</li><li>
Monitor report usage and performance, optimizing for query speed, efficiency, and usability.</li><li>
Ensure data governance, security, and compliance practices are embedded across BI workflows.</li><li>
Contribute to documentation, training, and user enablement, helping non-technical stakeholders interpret dashboards and leverage insights effectively.</li><li>
Stay current with emerging BI and data analysis tools and contribute to Verndale&rsquo;s growing Data &amp; AI practice.</li></ul><p><b>
What We&rsquo;re Looking For
</b></p><ul><li>2+ years of experience as a BI Developer, Data Analyst, or related role, with proven delivery of reporting and analytics solutions.</li><li>
Proficiency in SQL and experience working with relational databases and large datasets. &bull; Hands-on experience with BI platforms (Power BI, Tableau, Looker) and strong data visualization skills that translate complex data into clear, impactful insights.</li><li>
Solid understanding of data modeling principles (dimensional modeling, historical data management, granularity).</li><li>
Strong analytical and problem-solving skills, with the ability to identify data patterns, validate accuracy, and connect metrics to business value.</li><li>
Comfort in requirement gathering and stakeholder engagement, bridging the gap between business needs and technical solutions.</li><li>
Skilled in KPI definition and requirements gathering, with the ability to align business needs to effective data models, visualizations, and consumption methods.</li><li>
Experience with performance optimization (query tuning, aggregation strategies, caching).</li><li>
Effective communication skills able to explain technical trade-offs and analytical findings to both technical and non-technical audiences.</li><li>
Experience using generative AI tools (e.g., ChatGPT, Gemini, Claude) for dashboard prototyping, query optimization, and analysis acceleration.</li></ul><p><b>
Nice-to-Have Skills</b></p><ul><li>
Experience with cloud data warehouses (Snowflake, BigQuery, Redshift, Azure Synapse).</li><li>
Familiarity with data preparation and pipeline tools (dbt, Fivetran, Informatica, Alteryx).</li><li>
Programming or scripting skills (Python, R) for deeper analysis or automation. &bull; Advanced visualization design techniques, including custom visuals and interactive dashboards.</li><li>
Background in consulting or client services, delivering BI/analytics solutions in fastpaced environments.</li><li>
Exposure to data science and ML workflows, particularly around data preparation and feature engineering.</li><li>
Knowledge of agile delivery methodologies (Scrum, Kanban).</li><li>
Bachelor&rsquo;s degree in Computer Science, Data Science, Information Systems, or related field (or equivalent practical experience).</li></ul><h2 class="jobSectionHeader"><b>
Ten Great Reasons to Work at Verndale</b></h2><ul><li>
We are a rapidly growing company that is just as entrepreneurial today as when we were founded in 1998.</li><li>
We are relentlessly curious and enthusiastically solve our clients&rsquo; complex business problems through technology, data, and design.</li><li>
We foster a culture that enables every person in the organization to do the best work of their career.</li><li>
We offer regular training and professional development to move careers forward.</li><li>
Client and employee satisfaction are our two most important business metrics.</li><li>
We celebrate and champion diversity, equity, and inclusion.</li><li>
We offer generous paid company holidays, vacation, and paid sick time to every employee starting on day one.</li><li>
We provide top-of-the-line benefits including health, dental, vision, 401K, LTD, STD, Life Insurance, EAP, HRA and more.</li><li>
We support a healthy work/life balance.</li><li>
We are fully remote enabled and embrace the evolving definition of the workplace.</li></ul><h2 class="jobSectionHeader"><b>
About Verndale</b></h2><p>
Verndale is a digital experience agency dedicated to driving growth by helping businesses create meaningful human connections in an increasingly digital world. With offices in Boston, Montreal, Los Angeles, Quito, and hubs across the Americas, we partner with marketing and technology leaders to deliver personalized web, mobile, and ecommerce solutions that elevate customer experiences.<br>
At Verndale, we thrive on collaboration and innovation, offering a full range of services that span strategy, design, development, personalization, SEO, analytics, and digital advertising. We celebrate diversity and inclusion, striving to create a climate of respect essential for both individual and company success.<br>
If you're ready to be part of a passionate team dedicated to making an impact and driving growth, we invite you to explore a career at Verndale.</p><p><b>
Compensation &amp; Benefits</b></p><p>
$85,000 - $125,000 USD<br>
In accordance with applicable law, the above salary range provided is Verndale's reasonable estimate of the salary for this role. The actual amount may vary, based on non-discriminatory factors such as location, experience, knowledge, skills and abilities. In addition to salary, Verndale also offers a competitive benefits package.<br>
Verndale is proud of the fun, diverse, and respectful company environment we enjoy on a daily basis. Competitive compensation and comprehensive coverage for medical, dental, life, disability and a 401(k) savings plan are offered to all full-time employees. Ample company paid holidays and personal time off make having a work-life balance possible. For some roles, remote work is a definite possibility; we believe in hiring the best and keeping our own happy and motivated.<br>
 Verndale is an Equal Opportunity Employer. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.</p><p>
</p><p>Abt6xnBZ06</p></div>

BI Developer / Data Analyst

Explore 131+ Ai data trainer agi data services in Boston this October. Find roles across top companies and apply now to boost your career.