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Weekend Ai Data Engineer Jobs in Boston, MA (NOW HIRING)

NxT Level

Senior Engineer, Data Platform - AR

Boston, MA · On-site

$180K - $210K/yr

This role sits within the firm's AI, Data, and Platform Technologies engineering organization, which builds foundational data and AI capabilities that support global scale, business transformation ...

NxT Level

Senior Engineer, Data Platform - AR

Boston, MA · On-site

$124K - $149K/yr

This role sits within the firm's AI, Data, and Platform Technologies engineering organization, which builds foundational data and AI capabilities that support global scale, business transformation ...

NxT Level

Senior Engineer, Data Platform - AR

Boston, MA

$124K - $149K/yr

This role sits within the firm's AI, Data, and Platform Technologies engineering organization, which builds foundational data and AI capabilities that support global scale, business transformation ...

Pwc

AIT - AI Data Scientist Manager

Boston, MA · On-site

$99K - $297K/yr

... AI Data Scientist Manager, you will play a pivotal role within our Data and Analytics ... Engineering practice, focusing on transforming raw data into actionable insights that drive ...

Dlapiper

Data Engineer

Boston, MA · On-site

$124K - $149K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... consistent analytics/AI consumption and creating reduced manual effort through reusable ...

TG Gallagher

Head of Data Architecture & AI

Waltham, MA · On-site

Data Engineering & Infrastructure * Architect and manage cloud-native data platforms e.g. Snowflake ... AI & Data Product Leadership * Define company-wide AI strategy and roadmap. Current state readiness ...

Material Bank

Staff Data Engineer

Boston, MA

This role sits at the intersection of data engineering, applied AI, and platform innovation, with the opportunity to shape how AI is embedded into the core of our business and customer experience.

Beaconcure Inc.

Senior Data Engineer

Needham, MA · On-site

$100 - $130/hr

... an AI-powered statistical analysis workspace designed to improve workflows and accelerate ... As a Senior Data Engineer at Beaconcure, you will design and implement robust, scalable data ...

New

Deloitte

Lead Forward Deployed Engineer - AWS

Boston, MA · On-site

$111K - $146K/yr

Work you'll do As an AWS AI&Data FDE, you will work side by side with senior functional and ... Solution Engineering * Build AI-enabled solutions, agentic platforms, and workflows across ...

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Showing results 41-60

All JobsAi Data Engineer JobsWeekend Ai Data Engineer JobsWeekend Ai Data Engineer Jobs in Boston, MA

Weekend Ai Data Engineer information

See Boston, MA salary details

$48.3K

$140.9K

$192.8K

How much do weekend ai data engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for weekend ai data engineer in Boston, MA is $140,924.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,400.00 and $149,400.00 per year, depending on experience, location, and employer.

What is the difference between Weekend Ai Data Engineer vs Weekend Data Engineer?

AspectWeekend Ai Data EngineerWeekend Data Engineer
Required CredentialsBachelor's in CS, Data Science, or related field; familiarity with AI/ML toolsBachelor's in CS, Data Science, or related field; basic data engineering skills
Work EnvironmentProjects involving AI/ML models, data pipelines for AI applicationsGeneral data processing, ETL tasks, data pipeline setup
Employer & Industry UsageTech companies, AI startups, research institutionsVarious industries including finance, healthcare, e-commerce
Common Search & ComparisonOften compared for specialization in AI data tasksBroader data engineering roles

The Weekend Ai Data Engineer focuses on building data pipelines and models specifically for AI and machine learning applications, requiring knowledge of AI tools. In contrast, the Weekend Data Engineer handles general data processing tasks across various industries. Both roles share similar educational backgrounds but differ in their focus and project types.

What are the most commonly searched types of Ai Data Engineer jobs in Boston, MA?

The most popular types of Ai Data Engineer jobs in Boston, MA are:

What are popular job titles related to Weekend Ai Data Engineer jobs in Boston, MA?

For Weekend Ai Data Engineer jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Weekend Ai Data Engineer jobs in Boston, MA look for?

The top searched job categories for Weekend Ai Data Engineer jobs in Boston, MA are:

Weekend Ai Data Engineer jobs near you
Infographic showing various Weekend Ai Data Engineer job openings in Boston, MA as of June 2026, with employment types broken down into 62% Full Time, 32% Part Time, and 6% Contract. Highlights an 74% Physical, 3% Hybrid, and 23% Remote job distribution, with an average salary of $140,924 per year, or $67.8 per hour.

AI & Data Analytics Opportunities

SharkNinja

Needham, MA • On-site

Full-time

Re-posted 29 days ago

SharkNinja rating

8.2

Company rating: 8.2 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

47th of 161 rated electronics manufacturers

Job description

Note:  This is a Pipeline Opening and Not Tied to A Specific Opening

The AI Product Manager owns strategy, roadmap, and delivery for AI initiatives across the enterprise. This role translates business objectives into a clear prioritized backlog, collaborating with engineering teams and external partners to deliver impactful solutions that drive measurable business impact through revenue growth or new operational efficiencies. The Product Manager works closely with Global Data Product Management, including Data and MDM, to ensure AI products are built on trusted, standardized data foundations. The role requires strong judgment in application integrations and build vs. buy tradeoffs, balancing speed, cost, and enterprise standards.

Key Responsibilities

Area

What You'll Own

Product Strategy & Vision

Define a 3-9-month AI roadmap aligned to company strategic goals, with clear problem statements and value hypotheses to maximize value.

Portfolio & Roadmap

Convert strategy into prioritized increments with PRDs, acceptance criteria, and release plans; keep a transparent backlog.

Evaluation & Experimentation

Own evaluation for AI features: offline tests, human and automated evals, and online A/B experiments to optimize quality, latency, and cost effectiveness. Publish decision logs for model, prompt, and dataset changes.

Responsible AI & Guardrails

Define safety, privacy, and compliance requirements; implement guardrails and review rituals with Security and Legal; ensure traceability of data, prompts, and outputs.

Application Integrations

Define product requirements for API-first and event driven integrations across CRM/ERP/eCommerce and data platforms; align on data contracts, SLAs, auth/PII handling, and system  observability with Platform teams.

Build vs Buy

Lead structured tradeoff analyses (TTV, TCO, vendor lock in, differentiation, compliance). Run proofs of value with vendors when needed and  recommend paths forward, highlighting risks and contingency plans..

CrossFunctional Leadership

Lead squads spanning ML Engineering, MLOps, Data Engineering, Analytics, and Business stakeholders; keep scope, risks, and dependencies visible.

Impact Measurement

Define clear KPIs that connect business outcomes to product performance, and provide executives with simple, actionable reporting against those targets.

Partnerships

Collaborate with Director, ML and AI, Security, Legal, Procurement, and Global Data Product Management (Data and MDM) to align standards, governance, and delivery.

 

Required Qualifications

  • 5+ years in product management with shipped data or AI features tied to measurable outcomes.
  • Proven ownership of evaluation and experimentation for AI features (offline metrics, human/auto evals, and A/B testing).
  • Handson experiences driving application integrations at enterprise scale (APIled and iPaaS patterns, SLAs, data contracts, identity).
  • Demonstrated ability to lead build vs. buy decisions, supported by clear financial models and risk analyses.
  • Excellent executive communication and stakeholder leadership.

Preferred Qualifications

  • Experience optimizing Amazon sales and ad channels.
  • Experience with Salesforce Cloud and CDP integrations.
  • Exposure to LLMOps practices (prompt versioning, guardrails, eval frameworks), vector search/RAG, or model observability.

 Success Metrics (first 12 months)

  • AI roadmap approved and in execution within 90 days.At least two AI product increments shipped with adoption targets met.
  • Application integrations delivered on time with measurable data quality and reliability improvements.
  • At least two major technology decisions completed with a formal build vs. Buy analysis and exec approval.
  • AI initiatives deliver a minimum 5x ROI on Capex investments, contributing directly to revenue growth.

What SharkNinja employees say

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