Data Engineer III

Remote

Apply with AI Apply

Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

EcommerceIndustries

Requirements

Candidates should have 6+ years of experience in data engineering or platform engineering roles, with demonstrated success in building systems for analytical, operational, or ML use cases. Experience modernizing legacy data workflows or leading platform transitions is required, along with expertise in batched and streaming data workloads feeding federated data systems. Proficiency in data orchestration tools like Dagster, schema evolution, cost optimization, SQL, and Python is necessary. A working knowledge of infrastructure-as-code and containerized deployment is also required, along with experience coaching less experienced engineers.

Responsibilities

The Data Engineer III will design and implement reliable, scalable data pipelines and storage solutions across batch, near-real-time, and streaming environments, championing data quality, observability, and cost optimization. They will advance the company's Hybrid Data Platform strategy, shape data transformation, cataloging, and consumption, and identify tooling to accelerate AI/ML use cases. The role involves understanding business priorities to make intentional tradeoffs, collaborating with Product, Data Management, and Engineering peers, and championing high standards in data modeling, pipeline testing, observability, and code quality.

Skills

Data Pipelines

Data Storage

Batch Processing

Near-Real-Time Processing

Streaming Data

Data Quality

Observability

Cost Optimization

Hybrid Data Platform

Data Transformation

Data Cataloging

Data Consumption

AI/ML

Data Democratization

Spreetail

Ecommerce accelerator for manufacturers' growth

About Spreetail

Spreetail accelerates ecommerce growth for manufacturers by helping them increase their online sales without adding complexity or risk. The company works with a variety of clients, from small businesses to large manufacturers, to enhance their ecommerce presence. Spreetail optimizes product listings, manages advertisements, and provides tailored insights using its proprietary technology. Their business model includes purchasing inventory from partner brands, which allows them to boost sales across major ecommerce platforms like Amazon, Walmart, and Target. With eight fulfillment centers, Spreetail offers next-day delivery to 80% of the US population and manages all customer service and returns, ensuring a smooth shopping experience. The goal of Spreetail is to invest in the success of its partners, enabling them to scale their operations efficiently.

Lincoln, NebraskaHeadquarters

2006Year Founded

$208MTotal Funding

GROWTH_EQUITY_NON_VCCompany Stage

Data & Analytics, Consumer Software, Consumer GoodsIndustries

501-1,000Employees