Mid Level Data Science Engineer Jobs
Mid level data science engineer jobs go to professionals ready to own pipelines and models end to end, drive analytical decisions with limited oversight, and guide junior teammates through complex problems. Roles cover on-site, remote, and hybrid settings across Retail, Technology & Software, and Consulting & Professional Services, with employers like Walmart, ZS, and Amazon hiring at this level now.
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Showing 5 of 119+ Mid Level Data Science Engineer jobs
DESCRIPTION
As part of the Brand Measurement team, you'll define the technical strategy and delivery of solutions that empower advertisers to measure campaign effectiveness, identify optimization opportunities, and drive tangible business outcomes. You'll work backward from the customer to identify needs, build scalable event-driven architectures, and partner across engineering, data science, and design to ship robust, data-driven reporting products. If you're passionate about the intersection of generative AI and measurement at scale, this is your team.
Key job responsibilities
- Design and architect scalable, high-performance systems that leverage generative AI to deliver brand measurement insights at billions-of-events scale
- Develop and implement innovative machine learning algorithms to optimize advertising performance reporting and customer insights
- Define technical strategy and roadmap for AI-powered measurement solutions — working backward from advertiser needs to scalable architecture
- Collaborate with product managers, scientists, and design teams to create intelligent, data-driven advertising measurement experiences
- Lead technical design reviews and mentor engineering team members to raise the bar on quality and delivery
- Drive strategic technical decisions that shape the future of brand measurement platforms across Amazon Ads
- Build and operate event-driven architectures that process billions of impressions and conversions daily with high reliability
A day in the life
You'll spend your time designing and implementing sophisticated AI-driven systems that enhance how advertisers measure brand impact. You'll prototype innovative solutions with cross-functional partners, tackle complex technical challenges in measurement at scale, and drive adoption through close collaboration with internal and external stakeholders.
BASIC QUALIFICATIONS
- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team
PREFERRED QUALIFICATIONS
- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
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’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, NY, New York - 184,900.00 - 250,200.00 USD annually
DESCRIPTION
As part of the Brand Measurement team, you'll define the technical strategy and delivery of solutions that empower advertisers to measure campaign effectiveness, identify optimization opportunities, and drive tangible business outcomes. You'll work backward from the customer to identify needs, build scalable event-driven architectures, and partner across engineering, data science, and design to ship robust, data-driven reporting products. If you're passionate about the intersection of generative AI and measurement at scale, this is your team.
Key job responsibilities
- Design and architect scalable, high-performance systems that leverage generative AI to deliver brand measurement insights at billions-of-events scale
- Develop and implement innovative machine learning algorithms to optimize advertising performance reporting and customer insights
- Define technical strategy and roadmap for AI-powered measurement solutions — working backward from advertiser needs to scalable architecture
- Collaborate with product managers, scientists, and design teams to create intelligent, data-driven advertising measurement experiences
- Lead technical design reviews and mentor engineering team members to raise the bar on quality and delivery
- Drive strategic technical decisions that shape the future of brand measurement platforms across Amazon Ads
- Build and operate event-driven architectures that process billions of impressions and conversions daily with high reliability
A day in the life
You'll spend your time designing and implementing sophisticated AI-driven systems that enhance how advertisers measure brand impact. You'll prototype innovative solutions with cross-functional partners, tackle complex technical challenges in measurement at scale, and drive adoption through close collaboration with internal and external stakeholders.
BASIC QUALIFICATIONS
- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team
PREFERRED QUALIFICATIONS
- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
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’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, NY, New York - 184,900.00 - 250,200.00 USD annually
See All 119+ Mid Level Data Science Engineer Jobs
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Find JobsMid Level Data Science Engineer Job Market
Who's Hiring
- Walmart13
- ZS7
- Amazon7
- Capital One4
- Adobe3
Top Industries Hiring
- Retail25
- Technology & Software25
- Consulting & Professional Services16
- E-Commerce & Online Marketplaces9
- Banking & Financial Services8
Mid Level Data Science Engineer Jobs: Frequently Asked Questions
How do I get a mid level data science engineer job?
Lead with ownership. Hiring managers at this level want to see that you have driven a project from problem definition through deployment, not just contributed to one. Highlight specific models you built, decisions you made independently, and measurable outcomes you can claim. Tailor your resume to show depth in a domain, such as NLP, computer vision, or recommendation systems, rather than listing every tool you have touched.
Which companies hire mid level data science engineers?
Companies hiring mid level data science engineers right now include Walmart, ZS, and Amazon, based on current listings on Migrate Mate as of July 2026. Hiring at this level comes from a wide range of employers, including large technology firms, financial services companies, healthcare organizations, and growth-stage startups building out their core data teams.
Are there remote mid level data science engineer jobs?
Yes, remote work is common at this level. About 32% of mid level data science engineer openings are remote or hybrid as of July 2026, reflecting strong employer comfort with distributed data teams. Many companies hire nationally for these roles, which means your location rarely limits the number of positions you can apply to.
How do I move up to a mid level data science engineer role?
The path from entry level to mid level is built on demonstrated ownership. Early-career engineers who take on end-to-end projects rather than isolated tasks, seek feedback from senior colleagues, and document measurable impact tend to reach mid level faster. Deepening expertise in one domain, such as time-series forecasting or ML infrastructure, signals readiness for the greater autonomy that mid level roles require.
Which industries hire the most mid level data science engineers?
Mid Level data science engineer roles concentrate in Retail, Technology & Software, and Consulting & Professional Services, based on current listings on Migrate Mate as of July 2026. Those sectors generate large volumes of structured and unstructured data that require engineers who can independently design, build, and maintain production-grade models rather than just run exploratory analyses.