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senior data engineer - analytics Jobs in Boston

senior data engineer - analytics

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senior data engineer analytics

RevSpring, Inc

<div><div>Job Title: Senior Data Engineer - Analytics</div>
<div></div><div>Essential Functions:</div>
<ul><li>Collaborate with other internal teams to design data pipelines to ingest information from various systems to our BigQuery or Redshift data warehouse</li>
<li>Take ownership of the codebase, identifying gaps, areas for improvement, refactoring where needed, and keeping the design fresh and modern</li>
<li>Actively code to unblock technical and communication challenges as necessary to ensure teams meet product roadmaps and close those gaps.</li>
<li>Participate in architecture review decisions, designs, and documentation that will govern the direction of the team, the codebase, and multiple products over a several month timeframe</li>
<li>Communicate effectively with stakeholders (upper management, engineering manager, product manager, and peers) regarding the product you are responsible for</li>
<li>Provide feedback and participate in pair programming exercises.</li>
</ul>
<div></div><div>Success in this role:</div>
<ul><li>Team delivers reliable, scalable, high performing customer facing analytic services within analytic SLAs</li>
<li>Team consistently delivers committed business initiatives and coordinates with other stakeholders to roll out products with analytic insights.</li>
<li>Business teams and Customers are empowered with AI assisted insights without dependency on engineering</li>
<li>Consistently deliver high quality code that is easily maintained and scaled. Your work is reliable and your team members and stakeholders fully trust you to execute your responsibilities with minimal oversight</li>
<li>Contribute to the team culture where innovation, autonomy, and accountability thrive</li>
</ul>
<div></div><div>Minimum Requirements:</div>
<div>Specific Job Skills:</div>
<div></div><ul><li>Ability to approach complex, ambiguous data challenges systematically. You can diagnose the problem, come up with a plan to address it, and see that plan through.</li>
<li>Experience owning data integrity, ensuring that data is reliable, timely, and traceable from source to consumption</li>
<li>Experience creating and maintaining Extract, Transform, and Load (ETL) Pipelines and using modern ETL tools such as Python, SQL, Airflow, DBT, S3, Airbyte, Confluent.</li>
<li>Experience creating and maintaining analytic semantic layers and business intelligence dashboard such as Looker, PowerBI, Tableau, etc.</li>
<li>Experience owning data integrity, ensuring that data is reliable, timely, and traceable from source to consumption</li>
<li>Proficiency in leveraging AI agents and other AI tools to significantly enhance developer productivity.</li>
<li>Experience working with database and data warehouse technologies such as Postgres, Bigquery, and Redshift.</li>
<li>Experience with cloud services such as AWS, Azure, GCP.</li>
<li>Experience in developing large scale data models and complex data pipelines.</li>
</ul>
<div></div><div>Preferred Skills:</div>
<ul><li>Preferred: Experience in working with large slow changing dimension data models</li>
<li>Preferred: Experience in the US healthcare system, in particular with data systems and EHRs such as Epic, Cerner or Athenahealth.</li>
</ul><div>Education: BS Degree or equilivent work experience</div>
<div>Experience: Five years experience developing data platforms using Python, SQL</div>
<div>Supervision: N/A</div>
<div>Certifications: N/A</div>
<div>Language Skills:</div>
<div>Ability to read, analyze and interpret general business periodicals, professional journals, technical procedures or governmental regulations. Ability to write reports, business correspondence and procedure manuals. Ability to effectively present information and respond to questions from a variety of both internal and external sources.</div>
<div></div><div>Physical Capabilities: Standard categories</div>
<div>The physical capabilities described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.</div>
<div></div><div>While performing the duties of this job, the employee is regularly required to sit; use hands to finger, handle, or feel; reach with hands and arms; and talk or hear. The employee is occasionally required to stand and walk. The employee must occasionally lift and/or move up to 10 pounds. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus.</div>
<div></div><div>RevSpring is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.</div>
<div></div><div>Note: This Job Description may not describe all of the job responsibilities and standards assigned to this position. The duties may change from time to time. RevSpring does not discriminate against any group in hiring or employment practices. Nothing in this job description constitutes a contract for employment.</div></div>

Senior Data Engineer - Analytics

RevSpring

<div>
 
 Job Title: Senior Data Engineer - Analytics
 
 
 
 
 Essential Functions
 
 
 
 <ul>
 <li>
 Collaborate with other internal teams to design data pipelines to ingest information from various systems to our BigQuery or Redshift data warehouse
 </li>
 <li>
 Take ownership of the codebase, identifying gaps, areas for improvement, refactoring where needed, and keeping the design fresh and modern
 </li>
 <li>
 Actively code to unblock technical and communication challenges as necessary to ensure teams meet product roadmaps and close those gaps.
 </li>
 <li>
 Participate in architecture review decisions, designs, and documentation that will govern the direction of the team, the codebase, and multiple products over a several month timeframe
 </li>
 <li>
 Communicate effectively with stakeholders (upper management, engineering manager, product manager, and peers) regarding the product you are responsible for
 </li>
 <li>
 Provide feedback and participate in pair programming exercises.
 
 
 </li>
 </ul>
 
 Success In This Role
 
 
 
 <ul>
 <li>
 Team delivers reliable, scalable, high performing customer facing analytic services within analytic SLAs
 </li>
 <li>
 Team consistently delivers committed business initiatives and coordinates with other stakeholders to roll out products with analytic insights.
 </li>
 <li>
 Business teams and Customers are empowered with AI assisted insights without dependency on engineering
 </li>
 <li>
 Consistently deliver high quality code that is easily maintained and scaled. Your work is reliable and your team members and stakeholders fully trust you to execute your responsibilities with minimal oversight
 </li>
 <li>
 Contribute to the team culture where innovation, autonomy, and accountability thrive
 
 
 </li>
 </ul>
 
 Minimum Requirements
 
 
 
 
 Specific Job Skills:
 
 
 
 <ul>
 <li>
 Ability to approach complex, ambiguous data challenges systematically. You can diagnose the problem, come up with a plan to address it, and see that plan through.
 </li>
 <li>
 Experience owning data integrity, ensuring that data is reliable, timely, and traceable from source to consumption
 </li>
 <li>
 Experience creating and maintaining Extract, Transform, and Load (ETL) Pipelines and using modern ETL tools such as Python, SQL, Airflow, DBT, S3, Airbyte, Confluent.
 </li>
 <li>
 Experience creating and maintaining analytic semantic layers and business intelligence dashboard such as Looker, PowerBI, Tableau, etc.
 </li>
 <li>
 Experience owning data integrity, ensuring that data is reliable, timely, and traceable from source to consumption
 </li>
 <li>
 Proficiency in leveraging AI agents and other AI tools to significantly enhance developer productivity.
 </li>
 <li>
 Experience working with database and data warehouse technologies such as Postgres, Bigquery, and Redshift.
 </li>
 <li>
 Experience with cloud services such as AWS, Azure, GCP.
 </li>
 <li>
 Experience in developing large scale data models and complex data pipelines.
 
 
 </li>
 </ul>
 
 Preferred Skills
 
 
 
 <ul>
 <li>
 Preferred: Experience in working with large slow changing dimension data models
 </li>
 <li>
 Preferred: Experience in the US healthcare system, in particular with data systems and EHRs such as Epic, Cerner or Athenahealth.
 
 
 </li>
 </ul>
 
 Education:
 
 BS Degree or equilivent work experience
 
 
 
 Experience:
 
 Five years experience developing data platforms using Python, SQL
 
 
 
 Supervision:
 
 N/A
 
 
 
 Certifications:
 
 N/A
 
 
 
 Language Skills
 
 
 
 Ability to read, analyze and interpret general business periodicals, professional journals, technical procedures or governmental regulations. Ability to write reports, business correspondence and procedure manuals. Ability to effectively present information and respond to questions from a variety of both internal and external sources.
 
 
 
 Physical Capabilities: Standard categories
 
 
 
 The physical capabilities described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
 
 
 While performing the duties of this job, the employee is regularly required to sit; use hands to finger, handle, or feel; reach with hands and arms; and talk or hear. The employee is occasionally required to stand and walk. The employee must occasionally lift and/or move up to 10 pounds. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus.
 
 
 RevSpring is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
 
 
 
 Note:
 
 This Job Description may not describe all of the job responsibilities and standards assigned to this position. The duties may change from time to time. RevSpring does not discriminate against any group in hiring or employment practices. Nothing in this job description constitutes a contract for employment.
</div>

The Brattle Group, Inc.

<div><div>The Brattle Group, a privately held, global economics consulting firm, is looking for a Senior Data Engineer (Applied AI/ML) to join our Boston, MA office. The Senior Data Engineer at Brattle has a dual role spanning both client-facing project work and substantial internal research and development. The role sits at the intersection of data engineering, applied machine learning, and analytical consulting. Senior Data Engineers translate complex client questions and messy real-world data into defensible analytical approaches, exercising judgment about when classical statistical methods, machine learning techniques, or newer approaches such as generative AI are appropriate.

On client engagements, Senior Data Engineers define technical approaches, lead analytical workstreams, and make key implementation decisions while collaborating closely with Principals, consultants, and subject-matter experts. They evaluate modeling strategies, articulate technical trade-offs, and guide teams toward practical solutions that hold up under real-world data and time constraints.

Beyond project delivery, the role contributes significantly to internal research and development focused on expanding the team&rsquo;s analytical capabilities. This includes researching and prototyping new methods, tools, and workflows across structured and unstructured data, including text analysis, vector-based methods, and LLM-enabled approaches, and helping transition promising prototypes into approaches that can be applied in client work.

The role emphasizes modeling judgment, feature design, and evaluation rather than routine pipeline construction, building on Brattle&rsquo;s existing work in Python-based machine learning, unstructured data analysis, and generative AI workflows. 


Some of the day-to-day responsibilities of this role include:
<ul>
<li>Define and lead technical workstreams for client and internal projects, including selecting analytical approaches, evaluating modeling strategies, and determining appropriate tools and methods for the problem context</li>
<li>Triage and assess incoming client data from a wide range of sources and maturity levels, determining data readiness, required normalization, and appropriate analytical paths</li>
<li>Exercise independent judgment in ambiguous situations, evaluating competing analytical approaches and technical trade-offs, and articulating clear recommendations to project teams, Principals, and clients</li>
<li>Translate complex client questions and messy real-world data into appropriate analytical methods, determining when classical statistical methods, machine learning techniques, generative AI workflows, or simpler approaches are warranted</li>
<li>Research, prototype, and evaluate new analytical methods, tools, or workflows that expand the team&rsquo;s capabilities, particularly in areas such as text analysis, unstructured data, vector-based methods, and LLM-enabled workflows</li>
<li>Develop proof-of-concept analyses and models, and structure handoff plans for junior engineers to implement, refine, and scale where appropriate</li>
<li>Review code submitted by engineers, providing technical feedback and guidance on design, modeling choices, and maintainability</li>
<li>Write reproducible Python-based analyses for data processing, unstructured data exploration, modeling, and evaluation</li>
<li>Contribute to internal documentation, training, and knowledge sharing, helping establish recommended practices and reusable analytical approaches</li>
<li>Coordinate with IT as needed on software licensing, tooling evaluation, and deployment of new analytical technologies</li></ul> 


THE CANDIDATE
<ul>
<li>Bachelor&rsquo;s Degree in Computer Science, Computer Engineering, or related field; advanced degree is a plus</li>
<li>4&ndash;7 years of professional experience in data engineering, analytics, or related technical roles</li>
<li>Proven track record delivering complex, ambiguous data projects, including selecting approaches and managing trade-offs</li>
<li>Demonstrated ability to research and pilot new technologies or methodologies</li>
<li>Strong proficiency in Python for data processing, automation, exploratory analysis, and modeling</li>
<li>Applied machine learning experience, including evaluating and contrasting modeling approaches (e.g., classification, ranking, clustering, vector-based methods, and generative AI techniques) based on problem context, data quality, and practical constraints</li>
<li>Experience with feature design, model evaluation, and interpretation using real, messy datasets</li>
<li>Experience working with structured and unstructured data sources, including text-heavy datasets and heterogeneous data environments</li>
<li>Proficiency in SQL and relational data concepts, including joins, aggregation, and performance-aware querying</li>
<li>Familiarity with cloud platforms such as Azure (or comparable environments) for data storage, compute, and analytical workflows</li>
<li>Hands-on experience with version control (Git) and collaborative development practices</li>
<li>Ability to select appropriate tools, analytical approaches, and modeling strategies based on the problem context and available data</li>
<li>Strong mentorship and coaching skills, including reviewing code and providing feedback to junior team members</li>
<li>Excellent written and verbal communication skills for both technical and non-technical audiences</li>
<li>Effective at cross-functional collaboration, coordinating with other teams (IT, DevOps, consulting)</li>
<li>Ability to translate complex technical concepts into actionable solutions</li></ul> 


Brattle offers a competitive benefits package, base salary, and bonus program for eligible roles based on individual and firm performance. The anticipated base gross salary range for this position in Boston, MA is $125,000 - $135,000 annually. Actual salary will depend on a variety of factors, including experience and training. 


This position is not eligible for immigration sponsorship. 


EQUAL OPPORTUNITY

The Brattle Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, citizenship status, national origin, ancestry, sex, gender identity and expression, age, height, weight, domestic partner status, Acquired Immune Deficiency Syndrome or HIV status (AIDS/HIV status), genetic information, sexual orientation, disability (where the applicant or employee is qualified to perform the essential functions of the job with or without reasonable accommodation), marital status, veteran status, political affiliation, drug or alcohol abuse or alcoholism, or any other characteristic protected under applicable law. 


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

The Brattle Group answers complex economic, finance, and regulatory questions for corporations, law firms, and governments around the world. We are distinguished by the clarity of our insights and the credibility of our experts, which include leading international academics and industry specialists. Brattle has 500 talented professionals across North America, Europe, and Asia-Pacific. For more information, please visit brattle.com.</div></div>

Senior Data Engineer (Applied ML / Analytics) New

Perficient

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

Senior Technical Data Engineer - Boston, MA

Wellist

<div>
 At Wellist, we help employers support their people through every life moment&mdash;while ensuring HR and benefits leaders get the greatest possible value from their investments.
 
 
 As our Senior Strategic Analyst, you will be the person who builds, executes, and delivers the high-impact analyses that drive client strategy and internal decision-making. This is a senior individual contributor role for someone who can frame analytical problems, work directly with raw data, produce zero-defect outputs, and turn those outputs into clear recommendations that influence executive stakeholders.
 
 
 You will own the end-to-end analytics behind client deep dives, ROI assessments, portfolio evaluations, and monthly/quarterly reporting. Internally, you will ship analyses that shape product direction, resource prioritization, and Wellist's marketplace and ecosystem strategy. This role requires exceptional analytical rigor, attention to detail, and the ability to communicate findings clearly to CHROs, CFOs, Wellist leadership, and cross-functional partners.
 
 
 
 Core Responsibilities &amp; What You Will Deliver
 
 
 
 
 Client Analytics, Deep Dives &amp; Portfolio Optimization
 
 
 
 You will lead analytical work that identifies near-term cost savings, program performance gaps, and strategic opportunities within our client's wellbeing portfolios. Your deliverables will include:
 
 
 <ul>
 <li>
 Comprehensive portfolio analyses integrating Wellist platform usage and "ecommerce" behavioral data, claims-like datasets, and employer-provided inputs.
 </li>
 <li>
 Strategic ROI assessments for existing client accounts, quantifying value realized and pinpointing areas for higher-impact investment.
 </li>
 <li>
 Cost-savings opportunity models that map specific benefit adjustments, resource shifts, or product recommendations to measurable financial outcomes.
 </li>
 <li>
 Monthly and quarterly reporting packages that translate raw utilization data into clear insights, strategic recommendations, and prioritized next steps for clients.
 </li>
 <li>
 Executive-ready insights that help clients optimize their benefits spend, enhance employee engagement, and close gaps in high-need populations.
 </li>
 <li>
 Board-level reporting and advanced analytics narratives for client leadership teams.
 
 
 </li>
 </ul>
 You will be accountable for ensuring every analysis leads to actions that improve wellbeing support and maximize ROI for clients.
 
 
 
 Data-Driven Product &amp; Service Enhancement
 
 
 
 You will use analytics to shape Wellist's product roadmap and service offerings. Key responsibilities include:
 
 
 <ul>
 <li>
 Turning the platform's "ecommerce" behavioral data into recommendations to expand, refine, or rebalance Wellist's product and resource portfolio.
 </li>
 <li>
 Partnering with Product, Engineering, and Operations to integrate and interpret multi-source data (e.g., internal systems, Support CRM, Sigma).
 </li>
 <li>
 Identifying platform features, workflows, and interventions that can drive higher adoption, engagement, and client value.
 </li>
 <li>
 Developing repeatable analytic frameworks, benchmarks, and scoring models that improve how we assess programs and recommend interventions.
 </li>
 <li>
 Leading internal insights that inform go-to-market strategy and cross-functional decision-making.
 
 
 </li>
 </ul>
 You will be responsible for the analytic foundation that drives product evolution and enhances the value Wellist delivers to employers.
 
 
 
 Executive Communication, Client Success &amp; Advisory Leadership
 
 
 
 You will serve as a senior advisor to enterprise clients, ensuring analytics drive strategic action. You will:
 
 
 <ul>
 <li>
 Present findings and recommendations to CHROs, CFOs, clinical leaders, and boards.
 </li>
 <li>
 Build executive-ready presentations, strategic briefs, and ROI narratives that influence high-stakes decisions.
 </li>
 <li>
 Lead conversations that translate complex data into compelling business cases for portfolio changes or new investments.
 </li>
 <li>
 Partner with Client Success leadership to ensure analytics are central to account strategy, retention, and expansion.
 </li>
 <li>
 Represent Wellist's analytic insights in external meetings, presentations, and thought leadership opportunities.
 
 
 </li>
 </ul>
 You are accountable for ensuring insights translate into impact&mdash;and that clients clearly understand the value Wellist creates.
 
 
 
 What Success Looks Like
 
 
 
 3 months: You are leading deep-dive analyses for priority accounts, producing executive-ready deliverables, and raising the standard for monthly and quarterly reporting.
 
 
 6 months: Your ROI models, cost-savings analyses, and portfolio assessments are embedded in client strategy and influencing product decisions across Wellist.
 
 
 12 months: You are recognized as the strategic analytical leader whose work drives measurable savings for employers, improves employee wellbeing outcomes, and guides the next generation of Wellist's platform and services.
 
 
 
 What You Bring
 
 
 
 <ul>
 <li>
 5-10+ years of experience in analytics, consulting, strategy, or population health; employer benefits or healthcare preferred.
 </li>
 <li>
 Demonstrated experience producing ROI models, cost-savings analyses, and strategic portfolio recommendations for enterprise clients.
 </li>
 <li>
 Proven ability to turn complex datasets into clear, actionable insights for senior executives.
 </li>
 <li>
 Expertise with analytics tools, including Excel and Sigma; experience integrating multiple data sources (CRMs, ecommerce data) strongly preferred.
 </li>
 <li>
 Exceptional storytelling skills&mdash;able to craft board-level narratives that connect data to business impact.
 </li>
 <li>
 Strong cross-functional leadership experience, especially partnering with product, engineering, and operations teams.
 </li>
 <li>
 A demonstrated track record of using analytics to drive measurable value and influence organizational strategy.
 </li>
 <li>
 A bias toward action, meticulous attention to detail, and a mission-driven mindset.
 
 
 </li>
 </ul>
 
 Why Work Here
 
 
 
 
 A meaningful mission
 
 &ndash; Join a team that's redefining how employers support employees and their families.
 
 
 
 Outstanding benefits
 
 &ndash; Excellent medical, dental, and life insurance; generous PTO and 401(k) contribution.
 
 
 
 Opportunity to grow
 
 &ndash; Play a critical role in building Wellist's next-generation analytics and optimization solutions.
 
 
 
 Award-winning culture
 
 &ndash; Recognized by Fast Company, MassTLC, Rock Health, and more.
 
 
 
 At this time, Wellist is unable to sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, or another type of work authorization).
 
</div>

Senior Strategic Analyst (Hybrid)

Daley And Associates, LLC

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

VP Software Engineering and AI Platforms

Arbor

<div>About Arbor
Arbor is building an intelligent electricity marketplace to power an abundant electric future. As AI data centers drive a surge in electricity demand, millions of homes and businesses remain trapped with 20th century monopoly interfaces, overpaying by billions while cheap renewable energy goes to waste. Our AI-powered platform aggregates users to unlock wholesale pricing, automatically switches between the best rates, and optimizes usage to align with prices in real-time&mdash;delivering the same market advantages that were previously exclusive to Fortune 500 companies. We've raised over $20 million from leading investors and have saved over $12 million for more than 100,000 homes and businesses.
The Opportunity We're looking for a Data / Analytics Engineer to own the data infrastructure that powers Arbor's intelligence layer. You'll be the connective tissue between our production systems and the insights that drive pricing decisions, marketplace performance, and customer outcomes. Our data stack is modern, consolidated, and still maturing &mdash; which means you'll have real ownership over how it evolves, not just tickets to close.
This is a high-impact, high-ownership role on a lean team. We move fast, and we expect you to bring the same AI-first development mindset we apply across the entire engineering organization.
What You'll Do
Build and maintain our data pipeline infrastructure, spanning ingestion through Fivetran and custom pipelines from our GCP production systems into Snowflake. You'll own our dbt transformation layer end-to-end &mdash; modeling energy market data, customer lifecycle events, marketplace results, and utility rate feeds into clean, reliable, and well-documented data assets.
You'll partner closely with engineering, operations, and leadership to deliver analytics that directly inform business decisions &mdash; rate monitoring, supplier pricing trends, customer switching patterns, and marketplace performance. You'll work in Hex to build and maintain dashboards that surface actionable intelligence for non-technical stakeholders, and you'll help define data contracts and schema standards that make our Snowflake environment trustworthy as we scale.
You'll also play a meaningful role in shaping how we use AI in our data workflows &mdash; whether that's automating data quality monitoring, accelerating development with AI-assisted SQL and Python, or surfacing anomalies in complex regulatory data feeds.
What You Bring
3&ndash;6+ years of experience in a data engineering or analytics engineering role, ideally at a high-growth startup or in a domain involving complex, real-time data (energy, fintech, marketplace, or similar).
Strong dbt fundamentals &mdash; you know how to design models that are maintainable, not just functional. You think about testing, documentation, and downstream consumers as part of the job, not afterthoughts. Solid SQL is a given; Python for pipeline development or data quality tooling is a plus.
Hands-on experience with Snowflake, including schema design, query performance, and understanding the cost/performance tradeoffs of how data is structured and accessed. Comfort with GCP data services (BigQuery, Cloud Storage, Pub/Sub) is a plus given our infrastructure footprint.
Experience building dashboards for business stakeholders in tools like Hex, Looker, or similar. You know the difference between a dashboard that gets used and one that doesn't.
Energy markets or regulated industry experience is not required, but genuine curiosity about how electricity pricing, competitive markets, and the grid work will make this role more interesting to you.
An AI-native approach to your own productivity &mdash; you're actively using AI tools to accelerate development and aren't waiting for someone to tell you to start.
Compensation &amp; Work Setup Competitive salary + meaningful equity + benefits. We're flexible on location but value regular in-person collaboration with the team.</div>

Data Engineer

Explore 289+ Senior data engineer analytics in Boston this March. Find roles across top companies and apply now to boost your career.

289 senior data engineer analytics jobs In Boston

Senior Data Engineer - Analytics

Senior Data Engineer - Analytics

Senior Data Engineer (Applied ML / Analytics) New

Senior Technical Data Engineer - Boston, MA

Senior Strategic Analyst (Hybrid)

VP Software Engineering and AI Platforms

Data Engineer