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Sr. Data Engineer Job Opening In – Now Hiring Numerator


Job description

Numerator is a data and technology company reinventing market research.

Headquartered in Chicago, IL, Numerator has 1,600 employees worldwide.

The company blends proprietary data with advanced technology to create unique insights for the market research industry, which has been slow to change.

The majority of Fortune 100 companies are Numerator clients.

We are seeking a Senior Data Engineer to lead the expansion and optimization of our data platforms, drive data-driven decision-making, and enable innovation across our products.

In this role, you will own complex initiatives to automate, enhance, and scale services in a rapidly evolving environment, while mentoring peers and shaping our data strategy.
The Role
As a Senior Data Engineer at Numerator, you will design and build resilient data pipelines, architect infrastructure, and enable advanced analytics and modeling capabilities.

You will work closely with Product, Analytics, Data Science, and Engineering teams to ensure the integrity, scalability, and performance of our data systems.

Beyond implementation, you will drive technical strategy, mentor engineers, and deliver production-grade solutions with measurable impact.
What You Get to Do
+ Lead cross-functional initiatives to design, enhance, and scale data products that power analytics and customer-facing solutions.
+ Own and deliver complex, end-to-end projects focused on improving data quality, integrating advanced statistical and machine learning models, and driving measurable business outcomes.
+ Architect and develop pipelines with robust validation, quality enforcement, and efficient workflows for model deployment.
+ Partner with data scientists to streamline model integration, ensuring reliability and performance in production systems.
+ Define and promote engineering best practices, design standards, and technical excellence across the team.
+ Mentor and guide junior engineers, fostering technical growth and knowledge-sharing.


What We Require
+ 5+ years of experience in data engineering, including designing and maintaining large-scale data platforms, building advanced data pipelines, and implementing production solutions.
+ Proficiency in Python and SQL, with expertise in developing efficient, high-quality data transformations.
+ Strong background in data modeling, ETL/ELT design, and orchestration tools (especially Airflow), ensuring scalability and integrity.
+ Proven track record deploying cloud-based solutions in AWS, Azure, or GCP, with emphasis on resilience and reliability.
+ Familiarity with Machine Learning/Statistical Model Development processes and their data dependencies.
+ Demonstrated leadership in solving complex problems, with intellectual curiosity, attention to detail, and a focus on business impact.




What We’re Looking For
+ Deep experience with Amazon Web Services (EC2, RDS, ECS, S3, Lambda, etc.).
+ Expertise in Terraform, Ansible, or similar IaC tools for infrastructure automation.
+ Advanced proficiency in Airflow, including DAG design, monitoring, and custom operator development.
+ Hands-on experience with modern data platforms such as Snowflake, Databricks, or Redshift.
+ Comfort working with containerized services (Docker, Kubernetes) in production.
+ Background in retail, consumer insights, or marketing data is a strong plus.
+ Ability to influence technical strategy, drive architectural decisions, and mentor team members.





Required Skill Profession

Other General


  • Job Details

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Numerator adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying United States laws and regulations

What Is the Average Salary Range for Sr. Data Engineer Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in . Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Sr. Data Engineer?

Key qualifications for Sr. Data Engineer typically include Other General and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Sr. Data Engineer Job Success

Numerator interview tips for Sr. Data Engineer

Here are some tips to help you prepare for and ace your Sr. Data Engineer job interview:

Before the Interview:

Research: Learn about the Numerator's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Sr. Data Engineer interview at Numerator, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Numerator's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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