We’re reinventing the market research industry. Let’s reinvent it together.
At Numerator, we believe tomorrow’s success starts with today’s market intelligence. We empower the world’s leading brands and retailers with unmatched insights into consumer behavior and the influencers that drive it.
We are seeking a highly skilled Senior Data Engineer with extensive experience in designing, building, and optimizing high-volume data pipelines. The ideal candidate will have strong expertise in Python, Databricks on Azure Cloud services, DevOps, and CI/CD tools, along with a solid understanding of AI/ML techniques and big data processing frameworks like Apache Spark and PySpark.
Responsibilities
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Adhere to coding and Numerator technology standards
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Build suitable automation test suites within Azure DevOps
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Maintain and update automation test suites as required
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Carry out manual testing, load testing, exploratory testing as required
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Work closely with Business Analysts and Senior Data Developers to consistently achieve sprint goals
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Assist in estimation of sprint-by-sprint stories and tasks
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Pro-actively take a responsible approach to product delivery
Requirements
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7-10 years of experience in data engineering roles
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Good Python skills
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Experience working with Microsoft Azure Cloud
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Experience in Agile methodologies (Scrum/Kanban)
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Experience with Apache Spark, PySpark, Databricks
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Experience working with Devops pipeline, preferably Azure DevOps
Preferred Qualifications
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Bachelor's or master's degree in computer science, Information Technology, Data Science, or a related field.
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Experience working in a support focused role
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Knowledge/experience in AI ML techniques
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Certification in relevant Data Engineering discipline or related fields.
There is strength in numbers - We are the Numerati
Numerator is 5,800 employees strong. We have the confidence to be real and embrace what makes each Numerati unique. Our diverse experiences, ideas and backgrounds fuel our innovation.
Being part of the Numerati means that we’ll take care of you! From our Recharge Days, maximum flexibility policy, wellness resources for employees and their families, development opportunities and much more — we’re always finding ways to better support, celebrate and accelerate our team.
Skills Required
- 7-10 years of experience in data engineering roles
- Strong Python skills
- Experience working with Microsoft Azure Cloud
- Experience with Apache Spark, PySpark and Databricks
- Experience with DevOps pipelines
- Experience with Azure DevOps
- Experience in Agile methodologies (Scrum/Kanban)
- Bachelor's or master's degree in CS, IT, Data Science or related
- Experience working in a support-focused role
- Knowledge/experience in AI/ML techniques
- Certification in relevant Data Engineering discipline
Numerator Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Numerator and has not been reviewed or approved by Numerator.
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Leave & Time Off Breadth — Time off is described as generous, with PTO, paid holidays, and companywide “Recharge Days” alongside options like paid volunteer time. Mentions of flexible or unlimited PTO policies indicate breadth across leave types.
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Healthcare Strength — Healthcare coverage spans medical, dental, and vision, with mental-health support and an EAP also noted. Protection benefits such as disability and life insurance further reinforce coverage strength.
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Wellbeing & Lifestyle Benefits — Work–life balance is emphasized through flexible schedules, remote work programs, and quiet focus time. Wellness-oriented offerings like gym memberships and company-sponsored outings complement this flexibility.
Numerator Insights
What We Do
Numerator is a data and tech company bringing speed and scale to market research. Headquartered in Chicago, IL, Numerator has more than 2,400 employees worldwide. The company blends proprietary data with advanced technology to create unique insights for the market research industry that has been slow to change. The majority of Fortune 100 companies are Numerator clients.
