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Data Engineer Nike Jobs in Boston, MA (NOW HIRING)

Nike

Lead, Data Scientist - Converse

Boston, MA · On-site

$258K/yr

Advanced in SQL (data transformation, complex querying, data engineering concepts * Familiarity with cloud analytics environments and modern data stacks/ platforms (Data Bricks and Snowflake ...

Talanto

Senior Identity Engineer

Boston, MA · On-site

$110 - $160/hr

Trusted by leading enterprise brands including Nike, Wayfair, Unilever, and Southwest Airlines ... We leverage data from trusted third‑party compensation sources to help us understand the market ...

Later

Senior Identity Engineer

Boston, MA · On-site

$124K - $170K/yr

Trusted by leading enterprise brands including Nike, Wayfair, Unilever, and Southwest Airlines ... We leverage data from trusted third-party compensation sources to help us understand the market ...

Talanto

Senior Engineer (Platform)

Boston, MA · On-site

$125 - $205/hr

Trusted by leading enterprise brands including Nike, Wayfair, Unilever, and Southwest Airlines ... We leverage data from trusted third-party compensation sources to help us understand the market ...

Later

Senior Engineer (Platform)

Boston, MA · On-site

$113K - $155K/yr

Trusted by leading enterprise brands including Nike, Wayfair, Unilever, and Southwest Airlines ... We leverage data from trusted third-party compensation sources to help us understand the market ...

Later

Senior Security Engineer

Boston, MA · On-site +1

$124K - $170K/yr

Trusted by leading enterprise brands including Nike, Wayfair, Unilever, and Southwest Airlines ... We leverage data from trusted third-party compensation sources to help us understand the market ...

Later

Staff Engineer (Platform)

Boston, MA · On-site +1

Trusted by leading enterprise brands including Nike, Wayfair, Unilever, and Southwest Airlines ... We leverage data from trusted third-party compensation sources to help us understand the market ...

Later

Staff Engineer (Product)

Boston, MA · On-site

Trusted by leading enterprise brands including Nike, Wayfair, Unilever, and Southwest Airlines ... We leverage data from trusted third-party compensation sources to help us understand the market ...

Talanto

Senior Engineer (Product)

Boston, MA · On-site

$125 - $205/hr

Trusted by leading enterprise brands including Nike, Wayfair, Unilever, and Southwest Airlines ... We leverage data from trusted third-party compensation sources to help us understand the market ...

Later

Senior Engineer (Product)

Boston, MA · On-site

Trusted by leading enterprise brands including Nike, Wayfair, Unilever, and Southwest Airlines ... We leverage data from trusted third-party compensation sources to help us understand the market ...

Talanto

Staff Engineer (Product)

Boston, MA · On-site

$175 - $250/hr

Trusted by leading enterprise brands including Nike, Wayfair, Unilever, and Southwest Airlines ... We leverage data from trusted third‑party compensation sources to help us understand the market ...

Later

Senior Director, User Experience

Boston, MA · On-site +1

Trusted by leading enterprise brands including Nike, Wayfair, Unilever, and Southwest Airlines ... with engineering on platform architecture, APIs, data models, frontend frameworks, and ...

Later

VP, Product

Boston, MA · On-site +1

Trusted by leading enterprise brands including Nike, Wayfair, Unilever, and Southwest Airlines ... data and engineering teams. * Build and manage strong product processes, leveraging tools such as ...

Later

Senior AI Automation Engineer

Boston, MA · On-site +1

$113K - $148K/yr

Trusted by leading enterprise brands including Nike, Wayfair, Unilever, and Southwest Airlines ... Comfort with data: pulling it, cleaning it, and reasoning about it. How you work: * Driven by ...

Nike

Testing Analyst II Global - Converse

Boston, MA · On-site

$146K/yr

... Engineering, Sports Science, Marketing, or related field. Will accept any suitable combination of education, experience and training. * Experience with Microsoft Office applications, data analysis ...

Nike

Lead, Digital Product Manager (Converse)

Boston, MA · On-site

$217K/yr

The ideal candidate combines strong product management fundamentals with a data-driven mindset ... An engineering background is a plus, but not required * Experience with A/B testing is desirable ...

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Data Engineer Nike information

See Boston, MA salary details

$48.3K

$140.9K

$192.8K

How much do data engineer nike jobs pay per year?

As of Sep 4, 2026, the average yearly pay for data engineer nike 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 does a data engineer at Nike do?

A Data Engineer at Nike is responsible for designing, building, and maintaining the systems that collect, store, and process large volumes of data. They work closely with data scientists, analysts, and other stakeholders to ensure data is accessible, reliable, and ready for analysis. Their work supports decision-making across various departments, from product development to marketing, by ensuring high-quality data infrastructure and pipelines. Data Engineers at Nike often use technologies such as AWS, Python, SQL, and big data tools to manage and optimize data workflows.

What are the key skills and qualifications needed to thrive as a data engineer at Nike?

To thrive as a Data Engineer at Nike, you need strong skills in data modeling, ETL development, and programming languages such as Python or Scala, typically backed by a degree in computer science or a related field. Experience with cloud platforms (e.g., AWS, GCP), big data tools (e.g., Spark, Hadoop), and relevant certifications are highly valued. Analytical thinking, problem-solving, and effective communication help you collaborate with cross-functional teams and translate business needs into technical solutions. These abilities ensure robust data pipelines and insights that drive Nike’s strategic decisions and innovation.

How does a data engineer at Nike typically collaborate with data scientists and business analysts?

At Nike, Data Engineers work closely with data scientists and business analysts to ensure data is accessible, reliable, and optimized for analysis. They are responsible for building and maintaining data pipelines, integrating new data sources, and ensuring data quality. Regular collaboration occurs through agile team meetings, where Data Engineers gather requirements, discuss data challenges, and prioritize tasks. This teamwork ensures that analytical models and business insights are based on well-structured, high-quality data, directly contributing to Nike’s data-driven decision-making.

What is the difference between Data Engineer Nike vs Data Analyst Nike?

AspectData Engineer NikeData Analyst Nike
Required CredentialsBachelor's in CS, Engineering, or related; SQL, Python, ETL skillsBachelor's in Statistics, Math, or related; SQL, Excel, data visualization skills
Work EnvironmentBuilds data pipelines, manages databases, collaborates with engineering teamsInterprets data, creates reports, supports decision-making
Employer & Industry UsageUsed in tech, retail, sports apparel companies like NikeCommon in marketing, finance, retail sectors including Nike

Data Engineer Nike focuses on developing and maintaining data infrastructure, while Data Analyst Nike interprets data to generate insights. Both roles are essential in Nike's data ecosystem but serve different functions within the organization.

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

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

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Cities near Boston, MA with the most Data Engineer Nike job openings:

Data Engineer Nike jobs near you

Lead, Data Scientist - Converse

Nike

Boston, MA • On-site

$258K/yr

Full-time

Posted 11 days ago

Nike rating

7.7

Company rating: 7.7 out of 10

Based on 276 frontline employees who took The Breakroom Quiz

6th of 104 rated fashion retailers

Job description

The annual base salary for this position ranges from $126,700.00 in our lowest geographic market to $258,400.00 in our highest geographic market. Actual salary will vary based on a candidate's location, qualifications, skills and experience.
Information about benefits can be found here.
Lead, Data Scientist, Performance Operations & Insights
Location: Boston, MA
Become Part of the Converse Team
Converse is a place to explore potential, break barriers, and push the edges of what can be. We look for people who can grow, think, dream, and create-bringing skills and passion to a constantly evolving world.
About Our Team
The EBP Performance Operations & Insights team sits at the center of Enterprise Business Planning, translating enterprise performance data into actionable insights that power both in-season execution and long-range planning.
We are evolving from reporting to decision-ready analytics at scale-enabling a single global view of performance while accounting for regional nuance. At the same time, we are helping to instill a culture of performance management across Converse-driving greater clarity, accountability, and consistency in how performance is measured, understood, and acted upon across the enterprise.
The Role
The Lead, Data Scientist, EBP Performance Operations & Insights is a Boston-based role responsible for advancing global analytics and embedding more sophisticated technical capabilities into planning workflows.
This role partners with numerous cross-functional stakeholders to deliver scalable, decision-oriented insights-blending business context, analytics, and technical execution to improve how performance is understood and acted upon across the enterprise.
What You'll Do
  • Deliver and evolve global performance insights across demand, inventory, product, and channel views
  • Translate complex or ambiguous business questions into structured, scalable analytics solutions + insights
  • Develop forward-looking analyses to identify trends, risks, and opportunities
  • Build and scale analytics solutions that improve speed, automation, and consistency of insights
  • Partner with Technology to enhance data quality, accessibility, and usability
  • Contribute hands-on across data modeling, querying, and advanced analytics workflows
  • Drive alignment on metrics, definitions, and reporting outputs across regions
  • Translate complex analytical outputs into clear, executive-ready recommendations
  • Leverage Python, SQL, machine learning, and emerging AI technologies to create scalable analytical products that accelerate decision-making across the enterprise
  • Act as a strategic thought partner to Planning leaders, translating complex analytical findings into clear recommendations that drive growth, profitability, inventory productivity, and consumer outcomes

Role Requirements
  • Strong technical foundation in data manipulation, modeling, and large-scale data analysis
  • Significant experience applying advanced analytical methods such as regression analysis, time-series modeling, cohort analysis, or optimization techniques
  • Ability to design and evaluate models that surface patterns, forecast outcomes, or quantify risk and opportunity
  • Proven experience using analytical rigor, AI-enabled methods, and rapid experimentation to solve complex business problems in imperfect data environments
  • Experience working with imperfect or incomplete data and building structured approaches to improve signal quality
  • Proficiency in querying, data transformation, and building reusable analytical workflows
  • Experience developing scalable solutions that move from one-off analysis to productionized outputs
  • Ability to frame ambiguous business problems into analytically tractable approaches
  • Strong communication skills, with the ability to clearly explain methodologies, assumptions, and implications to non-technical stakeholders
  • Experience partnering cross-functionally, balancing priorities across numerous stakeholder groups
  • Curious, adaptable, creative problem-solving mindset
  • Strong attention to detail and accountability for delivery

Qualifications
  • 5+ years of experience in advanced analytics, data science, or related technical roles (retail/consumer preferred)
  • Proficient in Python development (pandas, scikit-learn, statistical modeling, optimization)
  • Advanced in SQL (data transformation, complex querying, data engineering concepts
  • Familiarity with cloud analytics environments and modern data stacks/ platforms (Data Bricks and Snowflake preferred)
  • Practical application of AI/ML, including:
    • Generative AI
    • LLM-based workflows
    • Agentic systems
    • Retrieval-Augmented Generation (RAG)
    • Forecasting and predictive modeling
  • Ability to rapidly prototype and scale solutions
  • Advanced understanding of BI and visualization tools (e.g., Sigma preferred, Tableau)
  • Demonstrated experience turning unstructured data into actionable insights
  • Experience leading and owning complex projects
  • Solid understanding of planning concepts such as demand, inventory, and seasonality a plus

Why This Role Matters
This role plays a critical part in advancing Converse's transformation toward a more data-driven, performance-oriented organization. As the business continues to navigate an increasingly dynamic marketplace, the Lead, Data Scientist, Performance Operations & Insights helps ensure decisions are grounded in timely, trusted, and actionable insights. By combining deep analytical expertise with an understanding of planning and enterprise priorities, this role enables leaders to identify risks and opportunities earlier, improve alignment across functions and geographies, and make more informed decisions that drive growth, profitability, and operational efficiency. Beyond delivering insights, this role helps shape the future of analytics at Converse by building scalable solutions, embedding AI-enabled capabilities into planning processes, and reinforcing a culture of performance management where outcomes are measured consistently, accountability is clear, and data drives action across the enterprise.
We offer a number of accommodations to complete our interview process including screen readers, sign language interpreters, accessible and single location for in-person interviews, closed captioning, and other reasonable modifications as needed. If you discover, as you navigate our application process, that you need assistance or an accommodation due to a disability, please complete the Candidate Accommodation Request Form.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

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