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Data Solutions Engineer

Job Description

About Horizon Commerce

Horizon Commerce helps brands navigate and succeed in an increasingly complex retail media and ecommerce ecosystem. We combine advanced analytics, retail media intelligence, and proprietary technology to help clients measure incrementality, optimize investment decisions, and drive sustainable growth across major retail platforms. We value collaboration, ownership, and practical problem solving in a fast-paced, evolving environment.

Job Description Summary

The Data Solutions Engineer is responsible for designing, building, and maintaining scalable data pipelines and analytics models that support Horizon Commerce’s retail media and commerce intelligence platforms. This role focuses on data engineering and analytics enablement, partnering closely with analytics, product, and client-facing teams to ensure high-quality, reliable data used for measurement, forecasting, and optimization.

Key Responsibilities

Design, implement, and maintain scalable data pipelines supporting retail media and ecommerce analytics platforms
Develop and optimize dbt models and SQL transformations to ensure accuracy, consistency, and performance across datasets
Manage data ingestion from multiple external sources, including APIs, retail media platforms, and third-party data providers
Monitor and troubleshoot workflow orchestration systems (e.g., Airflow), ensuring reliable and timely data delivery
Partner with analytics and product teams to translate business requirements into efficient data models and metrics definitions
Manage cloud-based data infrastructure (e.g., AWS services, Airflow, Snowflake), including permissions, environments, and usage optimization
Implement and maintain version control, documentation, and CI/CD practices for data workflows to support transparency and reproducibility
Proactively identify and automate manual or repetitive data processes to improve reliability and reduce operational overhead
Collaborate with client-facing analysts and engineers to publish verified datasets and enable reporting, forecasting, and client deliverables
Ensure data quality, integrity, and compliance through consistent validation, monitoring, and security best practices

Qualifications

5-8 years of experience in data engineering, analytics engineering, or data platform roles

Experience identifying and automating manual data processes
Exposure to infrastructure best practices such as CI/CD for data workflows
Experience supporting data shares and client-facing data delivery workflows
Experience maintaining or developing web scraping pipelines (e.g., Selenium)
Experience working with retail media or ecommerce platform data (e.g., Amazon Ads, Walmart Connect, Target Roundel)
Strong communication skills and the ability to explain technical concepts to cross-functional stakeholders
Ability to operate independently and take ownership of critical production systems
Experience using Git for version control and collaborative development workflows
Experience managing service accounts, API credentials, and secure key-based authentication (e.g., public/private key management)
Experience troubleshooting API integrations, authentication issues, schema changes, and pipeline failures
Familiarity with AWS services supporting data platforms, including S3, Lambda, EC2, IAM roles, CloudWatch, and related infrastructure components
Experience managing data ingestion processes such as Snowpipe or equivalent streaming/batch ingestion frameworks
Advanced SQL skills and experience working with cloud data warehouses such as Snowflake, BigQuery, or Redshift
Strong experience with dbt for data modeling, testing, and transformation best practices
Experience working with ELT tools such as Fivetran and managing third-party data connectors
Hands-on experience with workflow orchestration tools such as Airflow, including DAG management, scheduling, monitoring, and troubleshooting
Strong proficiency in Python for building, maintaining, and troubleshooting production data pipelines

Preferred Qualifications

Bachelor’s degree or equivalent experience in Computer Science, Data Science, Engineering, or a related quantitative field
Experience working with retail media or ecommerce data

Prior experience supporting client-facing analytics or consulting teams
Experience with Git-based version control and collaborative development workflows
Experience with analytics or business intelligence tools
Familiarity with measurement concepts such as incrementality, attribution, and forecasting
Familiarity with retail performance metrics such as ROAS, incremental revenue, and new-to-brand measurement

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Horizon Media is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

Salary Range

$140,000.00 - $170,000.00

A successful applicant’s actual base salary may vary based on factors such as individual’s skill sets, experience, training, education, licensure/certifications, and qualifications for the role. As an organization, we take an aptitude and competency-based hiring approach. We provide a competitive total rewards package including a discretionary bonus and a variety of benefits including health insurance coverage, life and disability insurance, retirement savings plans, company paid holidays and unlimited paid time off (PTO), mental health and wellness resources, pet insurance, childcare resources, identity theft insurance, fertility assistance programs, and fitness reimbursement.

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