Data Engineer

About Appriss Retail

Appriss Retail provides real-time decisions and active risk monitoring to enable our customers to maximize profitability while managing risk. Our solutions are continually adapting to changing market conditions.

We bring 20+ years of retail data science expertise and experience. We serve a global base of leading commerce partners, representing 1/3 of all US omnichannel retail sales activity across 150,000 retail locations across specialty, apparel, department store, hard goods, big box, grocery, pharmacy, and hospitality businesses in 45 countries on six continents.

The company provides compelling, relevant, and profitable collective intelligence to operations, finance, marketing, and loss prevention. Appriss Retail’s performance-improvement solutions yield measurable results with significant return on investment.

About The Role

Data Engineers at Appriss Retail are part of a team that follows DevOps best practices and owns the standardized data assets and the processes around it that support our products and enable our customers and internal teams.

The Data Engineer will develop and code software and automated pipelines to cleanse, integrate, and evaluate large datasets from multiple disparate sources. Solutions will be cloud native, adhere to CICD practices, and experience on one or more cloud platforms is required.

What You'll Do

• Build and deploy robust and scalable data pipelines using Python and SQL.
• Conduct and automate data validation to ensure the accuracy, consistency, and usability of incoming data.
• Work with large, complex datasets to support reporting, modeling, and analytics use cases by improving existing pipelines and refactoring technical debt.
• Interact closely with Data Science and Delivery Engineering teams to deploy and improve the pipelines and data quality.
  
  

Qualifications

• 2+ years of professional experience as a data engineer using Python and SQL
• Proficiency with Azure, preferably with a relevant certification.
• Ability to work with APIs, structured and unstructured data.
• Experience processing and analyzing large data sets.
• Experience with data warehouse solutions, especially Snowflake.
• Strong verbal and written communication skills.
• Collaborative mindset and ability to work effectively within a team environment.
• Proven ability to work on time-sensitive deliverables.
  
  

Preferred Qualifications

• Bachelor’s degree in a major such as Computer Science, Software Engineering, or another related field.
• An understanding of retail POS and OMS systems.
• Experience working with open source ETL/ELT and orchestration solutions such as dbt, Airflow, Dagster.
  
  

Benefits

At Appriss Retail, we offer a competitive and comprehensive benefits package designed to support your well-being at work and beyond. Benefits begin on your first day and include multiple medical plan options, dental and vision coverage, health savings and flexible spending accounts, paid parental leave, and supplemental coverage for life’s unexpected moments. We offer generous paid time off, a 401(k) with immediate vesting and company match, short- and long-term disability, and free access to health and wellbeing resources such as Calm and Rocket Lawyer. You’ll also have access to learning and development opportunities to help you grow your career. Our benefits support your well-being so you can perform you best in every part of life.

The Pay Range For This Role Is

100,000 - 100,000 USD per year(Remote (United States))