Senior Data Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Design, construct, and sustain scalable data pipelines and ELT/ETL workflows.

• Develop and enhance data models and enterprise data structures for reporting, analytics, machine learning, and operational applications.

• Utilize Snowflake and contemporary cloud data platforms to ingest, transform, and optimize extensive datasets.

• Collaborate with Business Intelligence and Data Science teams to deliver reliable, production-ready datasets.

• Create and implement data quality, validation, and monitoring processes.

• Support batch and near real-time data integration needs.

• Develop APIs and data services for both internal and customer-facing applications.

• Enhance data pipeline performance, scalability, and cost efficiency.

• Document data architectures, pipeline processes, and engineering standards.

• Assess emerging technologies and suggest improvements for the data platform.

• Mentor team members and assist in establishing engineering best practices.

⛳️ Requirements

• Over 7 years of experience in Data Engineering, Software Engineering, or a related discipline.

• Proficient in SQL.

• Extensive experience with modern cloud data platforms, ideally Snowflake.

• Strong expertise in Python and data engineering development methodologies.

• Proven experience in designing and maintaining large-scale ELT/ETL pipelines.

• Solid understanding of data modeling, data warehousing, and distributed data architectures.

• Experience integrating structured and semi-structured data from various internal and external sources.

• Familiar with data orchestration and transformation frameworks.

• Excellent troubleshooting and performance optimization abilities.

• Outstanding communication and stakeholder management skills.

• Capability to work independently while handling multiple initiatives.

• Candidate must reside within the Continental U.S.; preference for Eastern or Central time zones.

• Availability to support 8:30 AM–5:30 PM EST hours.

• Preferred: experience in the automotive industry data.

• Preferred: familiarity with dbt and modern analytics engineering workflows.

• Preferred: knowledge of streaming technologies and event-driven architectures.

• Preferred: experience supporting Business Intelligence, Data Science, and AI initiatives.

• Preferred: understanding of machine learning data pipelines and feature engineering concepts.

• Preferred: experience in a remote-first work environment.

• No relocation assistance is provided.

🏝️ Benefits

• Medical insurance.

• Dental insurance.

• Vision insurance.

• Unlimited paid leave.

• 401(k) matching.

• Wellness benefits.

• Company benefit offerings.