Merck KGaA Posted September 23, 2026

eCommerce Staff Engineers

Burlington, Massachusetts, United States Full time
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Merck KGaA is the source of truth for this posting and owns the application process. We surface normalized context and market comparison you won't find on the original listing.

About this opportunity

Work Your Magic with us!  Start your next chapter and join EMD Serono.

Ready to explore, break barriers, and discover more? We know you’ve got big plans – so do we! Our colleagues across the globe love innovating with science and technology to enrich people’s lives with our solutions in Healthcare, Life Science, and Electronics. Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet. That's why we are always looking for curious minds that see themselves imagining the unimaginable with us.

United As One for Patients, our purpose in Healthcare is to help create, improve and prolong lives. We develop medicines, intelligent devices and innovative technologies in therapeutic areas such as Oncology, Neurology and Fertility. Our teams work together across 6 continents with passion and relentless curiosity in order to help patients at every stage of life. Joining our Healthcare team is becoming part of a diverse, inclusive and flexible working culture, presenting great opportunities for personal development and career advancement across the globe.

Position:         eCommerce Staff Engineers

Employer:       Sigma-Aldrich Corporation

400 Summit Drive

Burlington, Massachusetts 01803

 

Job Site:          400 Summit Drive

Burlington, Massachusetts 01803

Telecommuting: Telecommuting is available.

Travel Requirement: One domestic trip per year lasting two to three days.

Responsibilities:

Search Relevance Optimization: Analyze and enhance search relevance algorithms to ensure accurate and relevant search results for users; Search Query Optimization: Implement and manage search query optimization strategies to optimize search results based on user behavior and business objectives; Search Engine Management: Oversee the configuration and performance of search engines, ensuring they meet the evolving needs of the eCommerce platform; AI/ML Integration: Leverage AI and machine learning technologies to develop and implement advanced search functionalities, including personalized search results and predictive search capabilities collaboration: Work closely with product owners, data scientists, and software engineers to define and implement search-related features and improvements; Performance Monitoring: Monitor search performance metrics and user feedback to identify areas for enhancement and implement data-driven solutions; Problem-Solving: Excellent analytical and problem-solving skills, with the ability to think critically and creatively; Communication: Strong verbal and written communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders; Technology & Programming Skills: Well versed with latest technology stack like Elasticsearch, Big Query, Python, NodeJS etc; and Documentation: Maintain clear documentation of search algorithms, tuning strategies, and system configurations for internal teams.

 

Requirements & Qualifications:

Employer requires a master's degree in Computer Science, Engineering, Data Science, or a related quantitative field and eight (8) years of work experience in any occupation working with software engineering in search relevance and search query optimization for eCommerce websites. In addition, the employer requires the following: (1) Demonstrated knowledge of Elasticsearch gained through four years of work experience; (2) Demonstrated ability building or integrating RAG-based architectures for LLM-assisted search use cases gained through completion of at least one project; (3) Demonstrated ability architecting search systems, including Lexical search, using algorithms such as BM25, and hybrid integration for Semantic search gained through at least four years of work experience; (4) Demonstrated knowledge of SQL and NoSQL gained through at least four years of work experience; and (5) Demonstrated knowledge of AI tools such as Python and ML frameworks such as TensorFlow, PyTorch or Scikit-learn gained through at least two years of work experience. All years of experience and project completion may be gained concurrently.

 

This position is eligible for Sigma-Aldrich Corporation’s Employee Referral Program.

 

Applicants can send resumes to Sigma-Aldrich Corporation, 400 Summit Drive, Burlington, Massachusetts 01803 (Attn: Req# 304216 ) or apply online at https://careers.emdgroup.com

 

Salary Range: $ One hundred eighty-six thousand and one hundred sixty dollars per year to two hundred sixteen thousand and one hundred sixty dollars per year.

 

Compensation is based on experience, location, and other factors.  We offer generous benefits packages:  https://careers.emdgroup.com/us/en/benefits

What we offer: We are curious minds that come from a broad range of backgrounds, perspectives, and life experiences. We believe that this variety drives excellence and innovation, strengthening our ability to lead in science and technology. We are committed to creating access and opportunities for all to develop and grow at your own pace. Join us in building a culture of inclusion and belonging that impacts millions and empowers everyone to work their magic and champion human progress!

Apply now and become a part of a team that is dedicated to Sparking Discovery and Elevating Humanity!

Job details

Seniority
Not listed
Function
Information Technology
Therapeutic area
Not listed
Location
Burlington, Massachusetts, United States
Employment type
Full time

How this role compares

Computed from every other active Information Technology role in our database, not just this employer's listings.

We currently track 1131 comparable Information Technology roles across 70 biopharma companies.

1131Comparable roles tracked
1092Currently active
70Companies hiring similar roles
35Countries represented

Salary context

162 of 1131 peers report a salary range (USD, annualized)

Peers share this role's job function. This posting doesn't list a seniority level, so peers aren't narrowed by seniority either -- the range below may span more levels than usual.

This roleSubject Not listed on this posting
Lowest disclosed · 2027 Business Technology Solutions Intern - Cybersecurity (Undergraduate) · AbbVie $21/hr – $37/hr (≈ $43,680–$76,960/yr)
Peer group range $60,320 – $400,000 (median $185,000)

Where these roles are based

Top locations among the 1131 comparable roles

India491
United States293
Spain85
Poland68
Portugal20
China17

+ 29 more countries

Seniority mix

639 of 1131 peers have a known seniority level

Senior266
Manager132
Principal63
Associate Director55
Associate50
Director35
Intern/Fellow/Postdoc19
Senior Director14
Executive/VP5

Therapeutic area mix

2 of 1131 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden

Vaccines & Infectious Disease1
Oncology1

Similar opportunities

The closest matches from our peer group, ranked by how similar they are, not how well you'd qualify for them -- treat this as market context, not a guaranteed shortlist; a weak match is labeled as one below.

40%similar
Roche Santa Clara, California, United States of America Principal
Same function Same country
40%similar
Roche Santa Clara, California, United States of America
Same function Same country
40%similar
Gilead Sciences, Inc. Foster City, United States Manager
Same function Same country
40%similar
Gilead Sciences, Inc. Raleigh, United States Associate Director
Same function Same country
40%similar
Gilead Sciences, Inc. Raleigh, United States
Same function Same country
40%similar
Gilead Sciences, Inc. Foster City, United States Director
Same function Same country

Notify me about similar jobs

Get an email when we spot other openings like this one – same job function, comparable seniority, roles you'd actually want to see.

How we calculate "similar"

No black box, no LLM guesswork: a deterministic score built from four normalized attributes. Here's this role's own peer group at different match levels, so you can see the mechanism, not just the result.

Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.

40%
Principal Software Development Engineer
Roche · Santa Clara, California, United States of America · Principal
Function Therapeutic area Seniority Country
40%
Associate Director, Data/AI Solution Architect, US Commercial Digital Marketing
Gilead Sciences, Inc. · Raleigh, United States · Associate Director
Function Therapeutic area Seniority Country
40%
Assoc Director, IT SAP, Product Life Cycle
Gilead Sciences, Inc. · Foster City, United States · Associate Director
Function Therapeutic area Seniority Country
40%
Director, IT Data & AI Product Owner – PDM & Tech Ops
Gilead Sciences, Inc. · Foster City, United States · Director
Function Therapeutic area Seniority Country
Unmatched or unknown dimensions score exactly the same: 0 points, never a partial guess. A role we know almost nothing about beyond its function bottoms out at 25%; it never inflates to 100% just because there's little to compare against. Seniority uses a defined ladder (Associate → Manager → Associate Director → Senior → Principal → Director → Senior Director → Executive/VP) so "Director" and "Senior Director" count as adjacent, but "Director" and "Executive/VP" do not.