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E Commerce Data Engineer Jobs (NOW HIRING)

WI ยท On-site

Position Overview Johnson Fitness & Wellness is seeking an Ecommerce Data & Analytics Engineer to develop and maintain the data infrastructure, reporting systems, and analytics capabilities ...

New

DATA ENGINEER

Virginia Beach, VA ยท On-site

$101K - $121K/yr

Data Engineer Retail & E-Commerce (2-3 Years Experience) Company: AaraTech Inc About the Role AaraTech Inc is seeking a Data Engineer Retail & E-Commerce to support data pipelines and analytics ...

DATA ENGINEER

Wyoming, MI ยท On-site

$103K - $124K/yr

Data Engineer Retail & E-Commerce (2-3 Years Experience) Company: AaraTech Inc About the Role AaraTech Inc is seeking a Data Engineer Retail & E-Commerce to support data pipelines and analytics ...

DATA ENGINEER

Washington, DC ยท On-site

$129K - $155K/yr

Data Engineer Retail & E-Commerce (2-3 Years Experience) Company: AaraTech Inc About the Role AaraTech Inc is seeking a Data Engineer Retail & E-Commerce to support data pipelines and analytics ...

Senior Data Product Manager- eCommerce

Philadelphia, PA ยท On-site

$127K - $168K/yr

You will partner closely with eCommerce business leaders, Product, Marketing, Data Engineering, Analytics, and Governance teams to define, build, and continuously improve trusted data products that ...

Senior Data Engineer

Philadelphia, PA ยท On-site

$107K - $145K/yr

Build and scale ecommerce data products and pipelines, with particular focus on Shopify data such ... Work with data scientists and analysts to support feature engineering, model training data, and ...

Senior Data Engineer

Philadelphia, PA ยท On-site

$107K - $145K/yr

Build and scale ecommerce data products and pipelines, with particular focus on Shopify data such ... Work with data scientists and analysts to support feature engineering, model training data, and ...

$93K - $123K/yr

You will partner closely with eCommerce business leaders, Product, Marketing, Data Engineering, Analytics, and Governance teams to define, build, and continuously improve trusted data products that ...

Director of Ecommerce Location : San Francisco, CA / Hybrid Reports to : CEO About the Role We are ... engineering, and wholesale to deliver a seamless customer experience. * Partner with data analytics ...

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E Commerce Data Engineer information

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$46K

$165K

$243.5K

How much do e commerce data engineer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for e commerce data engineer in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is an e commerce data engineer?

E Commerce Data Engineers are professionals who design, build, and manage the data infrastructure that supports online retail businesses. They are responsible for collecting, processing, and organizing large volumes of data from various sources such as websites, apps, and third-party platforms. Their work enables e-commerce companies to analyze customer behavior, track sales, optimize inventory, and personalize shopping experiences. By ensuring data is accurate and accessible, E Commerce Data Engineers play a crucial role in driving business decisions and improving overall efficiency.

What skills and qualifications are needed to thrive as an e commerce data engineer?

To thrive as an E Commerce Data Engineer, you need strong expertise in data modeling, SQL, ETL processes, and a background in computer science or a related field. Familiarity with big data platforms (e.g., Hadoop, Spark), cloud technologies (AWS, GCP, Azure), and relevant certifications such as AWS Certified Data Analytics are highly valuable. Analytical thinking, problem-solving, and effective communication enable you to translate business needs into robust data solutions. These skills ensure the efficient handling, processing, and interpretation of vast e-commerce data, driving business insights and strategy.

What challenges do e commerce data engineers face when integrating data from multiple platforms?

E Commerce Data Engineers often work with data originating from various sources such as web analytics, CRM systems, payment gateways, and third-party marketplaces. A common challenge is ensuring seamless integration and consistency across these platforms, as data formats and quality can vary significantly. Managing real-time data flows and handling large volumes of transactional data require robust ETL pipelines and careful monitoring for data accuracy. Close collaboration with data analysts, software engineers, and business stakeholders is essential to align data integration with business objectives and optimize decision-making.

What cities are hiring for E Commerce Data Engineer jobs?

Cities with the most E Commerce Data Engineer job openings:

What are popular job titles related to E Commerce Data Engineer jobs?

For E Commerce Data Engineer jobs, the most frequently searched job titles are:

Infographic showing various E Commerce Data Engineer job openings in the United States as of July 2026, with employment types broken down into 86% Full Time, 13% Part Time, and 1% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Ecommerce Data & Analytics Engineer

Cottage Grove, WI โ€ข On-site

$108K - $130K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Job description

Description

WHO WE ARE

Johnson Health Tech is one of the world's largest and fastest-growing fitness equipment manufacturers, delivering innovative solutions that help people live healthier lives. Through our award-winning portfolio of commercial and residential brands, we serve customers in more than 60 countries worldwide.


Mission Statement: To delight and excite our customers through truly innovative products, unsurpassed quality, and best-in-class customer experience provided by a world-class organization.


POSITION OVERVIEW

Johnson Fitness & Wellness is seeking an Ecommerce Data & Analytics Engineer to develop and maintain the data infrastructure, reporting systems, and analytics capabilities supporting our ecommerce and omnichannel business. This position is responsible for integrating data across ecommerce, website analytics, CRM, marketing, retail POS, ERP, and operational systems to create a centralized and reliable view of business and customer performance.


The successful candidate will have demonstrated experience building scalable data pipelines and reporting solutions, with the ability to translate complex datasets into actionable business insights. This position will work closely with ecommerce, digital product, marketing, CRM, retail operations, merchandising, and leadership teams to improve visibility into the customer journey, identify growth opportunities, and support data-driven decision making.


RESPONSIBILITIES

Data Engineering & Integration

Build and maintain scalable data pipelines that connect ecommerce, website analytics, CRM, marketing, POS, ERP, advertising, attribution, and operational systems

Develop and maintain ETL/ELT processes to automate data ingestion, transformation, normalization, and reporting

Establish reliable data models, schemas, and reporting standards to improve data consistency and accuracy

Integrate APIs and third-party data sources into centralized data and reporting environments

Monitor data pipelines and reporting processes to identify and resolve data quality, reliability, and performance issues

Maintain documentation for data sources, definitions, integrations, and reporting structures


Reporting & Analytics

Build and maintain centralized dashboards and reporting systems supporting ecommerce, customer lifecycle, retail showroom, marketing, product, and category performance

Combine behavioral, transactional, marketing, and operational data to create a more complete view of business performance

Develop reporting for key ecommerce metrics including traffic, product engagement, add-to-cart activity, checkout behavior, conversion, revenue, average order value, and product performance

Develop customer and lifecycle reporting incorporating CRM, email engagement, segmentation, attribution, and purchase behavior

Create reporting that improves visibility into retail and ecommerce performance across digital and physical customer touchpoints

Identify trends, anomalies, performance gaps, and growth opportunities and communicate findings to business stakeholders


Ecommerce & Customer Journey Analytics

Analyze the customer journey across website, ecommerce, marketing, CRM, retail, and post-purchase experiences

Identify friction points and customer drop-off throughout product discovery, add-to-cart, checkout, purchase, delivery, and retention journeys

Partner with ecommerce and digital product teams to identify conversion rate optimization opportunities

Provide data and reporting necessary to support UX improvements, merchandising decisions, personalization, and customer experience initiatives

Support A/B testing and experimentation by establishing measurement requirements, reporting results, and evaluating business impact

Analyze product, category, and customer behavior to identify opportunities to improve conversion rate, average order value, and ecommerce revenue


Data Strategy & Business Support

Partner with ecommerce, digital product, marketing, CRM, merchandising, retail operations, and leadership teams to define KPIs and reporting requirements

Help establish consistent business definitions, attribution methodologies, and performance measurement standards

Provide data and analysis supporting forecasting, merchandising strategy, inventory optimization, lifecycle marketing, and operational planning

Support new product, brand, and category launches through performance measurement and customer behavior analysis

Translate business questions into data requirements, analysis, and actionable recommendations

Provide accurate and timely information that enables teams and leadership to make faster, data-driven business decisions


Other projects as needed


Requirements

Education:

Minimum of four-year degree in Computer Science, Data Science, Information Systems, Analytics, Engineering, or related field OR high school diploma/equivalent with equivalent work experience


Experience:

Minimum 3+ years experience in data engineering, analytics engineering, business intelligence, or a related data-focused role

Experience building and maintaining scalable data pipelines and ETL/ELT processes

Strong SQL experience with the ability to transform, organize, and analyze complex datasets

Experience with cloud data warehouses such as Snowflake, BigQuery, Redshift, or similar platforms

Proficiency in Python and/or R for data transformation and analysis

Experience integrating APIs, third-party platforms, and multiple data sources

Experience with BI and reporting platforms such as Looker, Tableau, Power BI, Sigma, Metabase, or similar tools

Experience developing data models, schemas, and reporting structures that provide consistent and reliable business reporting

Understanding of ecommerce analytics, customer journey measurement, conversion funnels, attribution, and lifecycle marketing

Experience supporting ecommerce, retail, marketing, CRM, or other customer-focused business functions preferred

Familiarity with customer data platforms, event-based analytics, marketing automation, and A/B testing frameworks preferred


Other Requirements:

Able to work effectively across cross-functional teams and independently manage data and analytics initiatives

A quick learner with the ability to translate business requirements and complex data into actionable recommendations

An ability to work on multiple projects and priorities at the same time

A valid driver's license is required for occasional travel

Position will be subjected to pre-employment and annual motor vehicle record (MVR) checks. Must be able to successfully pass MVR checks to drive on behalf of the company.


SKILLS

Ability to translate business requirements into technical data and reporting requirements

Strong analytical and problem-solving skills

Ability to translate complex datasets into clear, actionable business insights

Strong SQL, data modeling, and data visualization skills

Ability to collaborate with a wide variety of internal teams and stakeholders

Strong attention to detail with an emphasis on data quality and reporting accuracy

Ability to communicate technical information clearly to technical and non-technical audiences

Ability to multi-task, prioritize, and manage multiple projects

Ability to identify opportunities to improve processes, reporting efficiency, and business performance

Strong understanding of ecommerce KPIs and customer journey analytics

Demonstrated effective interpersonal, verbal, and written communication skills.

Strong sense of initiative and a sense of urgency, demonstrated by accomplishing tasks, improving current work processes, and assisting others when necessary.

Unwavering attention to detail and commitment to world-class quality.

Ability to embrace deadlines.

Able to project a positive and professional demeanor to all internal and external contacts.


WORK ENVIRONMENT & PHYSICAL DEMANDSย 

The employee must be able to maintain concentration in a variety of work environments and sustain attention to detail while managing multiple priorities. The position requires the ability to reason, analyze information, and make sound decisions promptly. The employee must also be capable of working both independently and collaboratively, interacting professionally with colleagues, leadership, and external partners. While performing the duties of this job, the employee is regularly required to sit for extended period, use hands and fingers to operate a computer keyboard, mouse, phone and other standard office equipment. Will be required to communicate both verbally and in writing; as well as view a computer monitor and perform tasks requiring close vision with the ability to adjust focus. The employee is occasionally required to stand, walk, reach, bend, stoop, kneel, or crouch to access files, supplies or other office equipment. The employee must occasionally lift, carry, push or pull materials weighing up to 20 pounds. Repetitive hand, wrist, and finger motion is required for keyboarding and other clerical tasks.ย 


BENEFITS & PERKS

Medical, dental, and vision insurance

Company-paid life insurance and AD&D coverage

401(k) retirement savings plan

Paid time off (PTO)

FSA and HSA options

Employee product discounts, wellness resources, and employee assistance programs


Equal Opportunity Employer, including Protected Veterans and Individuals with Disabilities.