Data Engineer (Ecommerce)

Location: Hybrid schedule in Lehi, Utah, United States

Company

hirify.global accelerates global brands on ecommerce marketplaces through proprietary technology, AI, machine learning models, and a large-scale ecommerce acceleration platform.

What you will do

• Develop, deploy, and support real-time automated data streams from multiple sources into data lakes and warehouses.
• Implement data auditing and quality strategies for large-scale data processing workflows.
• Resolve pipeline failures, triage infrastructure issues, and maintain reliable data flows.
• Collaborate with technology teams and partners to define data requirements and provide data access.
• Tune application and query performance using profiling tools and SQL.
• Own data expertise and data quality for assigned areas while supporting analytics and operational decision-making.

Requirements

• Bachelor’s degree in data science, data analytics, information management, computer science, information technology, a related field, or equivalent professional experience.
• 3–5 years of experience working with SQL.
• Familiarity with modern data architecture and data warehouse implementation.
• Experience or familiarity with Redshift, BigQuery, or Snowflake and data architecture design.
• Strong communication skills in presentation and comprehension.
• Exposure to data visualization tools such as Tableau or ThoughtSpot.

Nice to have

• Experience with time series databases, stored procedures, triggers, analytic functions, and SQL tuning.
• Knowledge of Snowflake and familiarity with big data, non-relational databases, machine learning, or data mining.
• Experience with AWS services including SNS, SQS, SES, S3, Lambda, and Glue.
• Familiarity with Redshift, Cassandra, DynamoDB, Apache Airflow, Spark, or Elasticsearch.
• Understanding of data quality and data governance.

Culture & Benefits

• Values include data-driven decision-making, partner success, initiative, accountability, and innovation.
• Unlimited paid time off and paid holidays.
• Health, vision, dental, and company-paid life insurance.
• 401(k) match, onsite fitness center, casual dress code, and competitive pay.

Hiring process

• Initial phone interview with talent acquisition.
• Technical interview, hiring manager video interview, professional reference checks, and executive review.
• Offer following the review process.