Be an early applicantLess than 25 applicants

Company

Numerator · 4 hours ago

Data Engineer I

United States

Full-time

Remote

Entry Level

1+ years exp

Maximize your interview chances

AnalyticsBrand Marketing

Culture & Values

H1B Sponsor Likely

Insider Connection @Numerator

Discover valuable connections within the company who might provide insights and potential referrals.
Get 3x more responses when you reach out via email instead of LinkedIn.

Responsibilities

Collaborate with Product, Analytics, Data Science, and Engineering teams to build or enhance data products while ensuring adherence to data quality standards

Lead complex, end-to-end projects focused on improving data quality and ensuring statistical models (e.g., sampling, segmentation, classification, predictive modeling) are supported by clean and validated data

Design and develop pipelines that enforce data validation, quality checks, and best practices for integrating Data Science models into customer-facing products

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data EngineeringData QualityPythonSQLETL DesignData WarehousingCloud SolutionsMachine LearningAirflowKubernetesTerraformAnsibleSnowflakeDatabricksDockerRetail Industry

Required

1+ years of experience designing data warehouses, building data pipelines, or working in data-intensive engineering roles with a strong focus on data quality

Proficiency in a major programming language (preferably Python) and SQL with experience in implementing data validation and transformation processes

Expertise in data modeling, ETL design (especially Airflow), and ensuring that data transformations meet business goals while maintaining integrity and quality

Familiarity with Machine Learning or Statistical Model Development processes and how data quality influences model performance

Experience designing and deploying cloud-based production solutions (AWS, Azure, or GCP), ensuring data quality is maintained across environments

Strong attention to detail, intellectual curiosity, and a commitment to delivering high-quality data in a fast-paced, collaborative environment

Preferred

Familiarity with Amazon Web Services (EC2, RDS, ECS).

Experience with Terraform and/or Ansible (or similar) for infrastructure deployment

Familiarity with Airflow -- building and monitoring DAGs and developing custom operators

Familiarity with Snowflake, Databricks, or another data warehouse.

Exposure to containerized services (Docker/Kubernetes)

Experience working with marketing insights, shopping data, or in the retail industry

Benefits

Volunteer time off and charitable donation matching.

Regular hackathons to build your projects and work with people across the entire company

Strong support for career growth, including mentorship programs, leadership training, access to conferences, and employee resource groups.

Great benefits package including health/vision/dental, exceptional maternity leave coverage, unlimited PTO, flexible schedule, 401K matching, travel reimbursement, and more.

Company

Numerator

Glassdoor

4.2

Numerator is a data and tech company that provides advanced technology for consumers to understand the market research industry.

Founded in 1990

Chicago, Illinois, USA

1,001-5,000 employees

http://numerator.com

H1B Sponsorship

Numerator has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Trends of Total Sponsorships

2023 (5)

2022 (6)

2021 (3)

2020 (4)