Data Engineer

Data Engineer

Location:

Remote (U.S.)

About The Company

Our client is a mission-driven organization operating at the intersection of e-commerce, marketing, and digital health. We are committed to building scalable, reliable data platforms that empower analytics, reporting, and machine learning across the business. Our culture values collaboration, innovation, and using data to drive meaningful business and customer outcomes.

Job Summary

We are seeking a Data Engineer to join our centralized Data & Analytics team. Reporting directly to the Lead of Data Engineering, this individual will play a critical role in designing, building, and optimizing the modern data platform that supports analytics, reporting, and machine learning across the organization. The ideal candidate is technically strong, highly collaborative, and motivated to create scalable, production-ready data solutions with immediate business impact.

Key Responsibilities

• Build and Scale Data Infrastructure: Design, develop, and optimize ETL/ELT pipelines, transformation workflows, and cloud-based compute infrastructure to support enterprise analytics and machine learning use cases.
• Data Ingestion & Integration: Own the ingestion and modeling of new data sources, ensuring data is structured and optimized for downstream reporting, analytics, and ML applications.
• Analytics Enablement: Partner with Analytics Engineers and business teams to define requirements and deliver a robust internal data mart that enables self-service reporting and advanced analytics.
• ML & MLOps Collaboration: Work closely with Data Science teams to deploy, monitor, and govern machine learning models in production environments.
• Data Quality & Governance: Implement and enforce data quality, observability, and governance standards across all data pipelines and assets.
• Architecture & Process Improvement: Identify opportunities to enhance data architecture, tooling, and engineering processes to drive efficiency and scalability.
• Cross-Functional Support: Support strategic initiatives through data-driven insights, ad-hoc analysis, and collaboration with Marketing, Sales, Finance, and Product stakeholders.

• Education: Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field (or equivalent experience).
• Experience: 1–4 years of experience in data engineering, software engineering, or analytics roles.
• Technical Skills:
• Strong proficiency in SQL and Python
• Experience with cloud data platforms such as Azure Synapse, Snowflake, BigQuery, Databricks, or Microsoft Fabric (Azure stack strongly preferred)
• Experience with analytics and BI tools (Power BI or similar)
• Strong foundation in relational databases, ETL tools, and scripting languages (e.g., PowerShell)
• Development Practices: Proficiency with Git and collaborative development workflows (pull requests, code reviews) in an agile environment.
• Orchestration: Experience with workflow orchestration tools such as Apache Airflow, Prefect, or Azure Data Factory preferred.
• Data Foundations: Demonstrated ability to build processes supporting data transformation, validation, accuracy checks, and workload management.
• Soft Skills: Strong communication and stakeholder management skills with the ability to translate business needs into technical solutions.
• Mindset: Passion for data, curiosity in solving complex problems, and a drive to deliver measurable business impact.

• Experience with statistical data modeling and supporting infrastructure
• Exposure to MLOps practices, monitoring, and governance
• Background in e-commerce, marketing, or digital health environments

• Competitive Salary: Market-aligned compensation
• Health and Wellness: Comprehensive health benefits and wellness programs
• Work-Life Balance: Flexible work arrangements and paid time off
• Professional Development: Opportunities for learning, growth, and career advancement
• Additional Perks: Collaborative culture, cross-functional exposure, and meaningful impact through data-driven initiatives