Data Engineer (remote)

About Our Client:

The organization operates in the data engineering and business intelligence sector, serving as a strategic enterprise function responsible for developing and managing a comprehensive data and analytics ecosystem. It addresses challenges around data quality, integrity, accessibility, and scalability to support decision-making across various business functions such as retail, consumer products, manufacturing, supply chain, marketing, digital commerce, and finance.

About the Opportunity:

The DATA ENGINEER role focuses on designing and developing scalable data solutions that transform diverse source data into trusted, high-quality datasets. This position is critical for enabling reporting, analytics, and AI initiatives that influence customer experience, operational efficiency, and business growth. The engineer will collaborate with business stakeholders and analytics teams to support enterprise data modernization and ensure reliable data delivery.

Responsibilities:

• Design, develop, test, and maintain scalable data pipelines and products
• Integrate data from enterprise applications, cloud platforms, APIs, and operational systems
• Build reusable datasets to support reporting, analytics, and machine learning
• Troubleshoot data quality, performance, and reliability issues
• Collaborate with business teams to translate requirements into technical solutions
• Work with BI developers, analysts, and product owners to deliver trusted data assets
• Participate in sprint planning and solution design discussions
• Implement data quality checks, monitoring, and validation
• Support data governance through documentation of lineage, rules, and metadata
• Ensure consistency and standardization across data domains
• Identify opportunities to automate processes and improve data delivery
• Engage in cloud modernization, AI/ML enablement, and data platform improvements
• Evaluate and adopt emerging technologies and best practices
• Collaborate effectively within cross-functional data and business teams

Requirements:

• Bachelor’s degree or 4 years of professional experience
• Minimum 3 years experience designing and implementing data pipelines using Teradata or Snowflake
• Knowledge of data warehousing, integration concepts, and data governance principles
• Experience with data quality assurance, validation, and monitoring
• Proven collaboration with business analysts, BI engineers, and stakeholders
• Understanding of retail industry data sources and business processes
• Ability to communicate complex data concepts to technical and non-technical audiences

Pay Range and Compensation Package:

• Salary range $75,000 - $90,000, varies based on candidate factors
• Eligibility for annual merit-based increases

Benefits & Perks:

• Medical insurance
• Dental insurance
• Vision insurance
• 401(k) plan with company match
• Paid time off
• Profit-sharing program

Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.

Note:

RemoteHunter is not the Employer of Record (EOR) for this role. Our purpose in this opportunity is to connect exceptional candidates with leading employers. We help job seekers worldwide discover roles that match their goals and guide them to complete their full application directly through the hiring company's career page or ATS.