Sr. Data Engineer

Riverstone Logistics; Rock Hill (SC); On-site; USD 110,000 - 160,000; Full time

Job summary

Riverstone Logistics is seeking a Senior Data Engineer to build reliable data pipelines and models that power self-serve analytics across our logistics platform. You will ingests data, design dbt models, and ensure governance, quality, and cost efficiency in a fast-paced environment.

You will work across ingestion, transformation, warehousing, and analytics delivery, collaborating with Analytics, Product, Operations, and Finance to turn business questions into production-ready insights.

Qualifications

• 5+ years of experience in data engineering or a closely related role.
• Advanced SQL and Snowflake experience.
• Production dbt experience—modeling, testing, macros, and CI.
• Proficient Python for pipeline work, API integrations, and automation.
• Experience with ELT tooling (Fivetran or equivalent) and reverse ETL (Hightouch or equivalent).
• Solid grounding in dimensional modeling and warehouse design.
• Track record building data quality and observability into pipelines.
• Git-based workflows and version control discipline.
• Strong collaboration and communication skills.
• Experience with Omni, Looker, or a similar semantic-layer BI tool preferred.
• Experience with logistics, transportation, or supply chain data (TMS, WMS, EDI, telematics) preferred.

Responsibilities

• Build and maintain ingestion pipelines into Snowflake using Fivetran and custom Python where connectors fall short.
• Design and own dbt models—staging through marts—with clear tests, documentation, and ownership.
• Model operational data to reflect real-world logistics workflows, not just source-system structure.
• Contribute to improving warehouse design, performance, and maintainability.
• Design and implement data integrations with third-party and internal systems (e.g., TMS, WMS, partner platforms).
• Operationalize data through Hightouch, syncing modeled data back into the systems where work happens.
• Deliver curated, well-defined datasets that power Omni dashboards and self-serve reporting.
• Ensure pipelines and syncs are reliable, scalable, and maintainable in production.
• Own Snowflake performance and cost—warehouse sizing, query tuning, storage strategy.
• Establish data quality standards: testing, monitoring, alerting, and lineage so issues surface before stakeholders find them.
• Set and enforce governance practices—access controls, naming conventions, shared definitions, documentation.
• Participate in code reviews and contribute to shared engineering standards and best practices.
• Identify and address technical debt and pipeline inefficiencies.
• Partner with Analytics, Product, Operations, and Finance on data model design and execution.
• Support investigation and resolution of data issues affecting internal teams and customers.
• Provide technical input to improve workflows and reduce operational friction.
• Communicate clearly on technical trade-offs, timelines, and risks.

Skills

Advanced SQL

Snowflake

dbt (production)

Python

Fivetran / ELT tooling

Hightouch / reverse-ETL

Git / version control

Data quality & observability

Looker / BI tools

Logistics data (TMS/WMS/EDI)

Tools

Fivetran

Hightouch

Looker

Snowflake tooling

Job description

Career Opportunities with Riverstone Logistics

A great place to work.

Careers At Riverstone Logistics

Share with friends or Subscribe!

Are you ready for new challenges and new opportunities?

Join our team!

Current job opportunities are posted here as they become available.

Subscribe to our RSS feeds to receive instant updates as new positions become available.

Riverstone Logistics (RLX) is a big and bulky supply chain powerhouse delivering seamless final mile, middle mile, warehousing, fulfillment, and storage solutions through a nationally integrated platform.

Founded in 2017 by five partners who believed logistics could be built around something bigger than moving freight, we began with furniture delivery and grew into a nationwide provider serving complex supply chains across the United States.

We are a purpose-driven company. We exist to use our God-given talents and opportunities to love our neighbors, serve our communities, and improve our industry. That purpose shapes how we lead our teams, how we partner with our customers, and how we take ownership of every delivery.

Our people, who we call Extra Milers, bring genuine integrity and care to every mile. If you lead well, communicate with clarity, and want your work to mean something, we want to meet you. If you're looking for a place where people genuinely matter, you've found it.

Role Overview

Mission: To build reliable, well-modeled data that powers operational decision-making and enables trusted, self-serve analytics across the business.

Core Objective: Design, develop, and deliver high-quality data pipelines and models—balancing core warehouse development with integrations, governance, and analytics enablement to support business growth and data trust. The Senior Data Engineer plays a key role in ensuring the data platform can adapt to evolving business needs while remaining reliable, scalable, and cost-efficient.

Who You Are (“The Ideal Candidate”):

You are a hands-on builder who takes ownership of delivering trusted, production-grade data.

You are comfortable working end to end—from ingestion and modeling through the datasets that land in front of the business.

You are pragmatic and solutions-oriented, focused on delivering usable data while maintaining technical quality.

You are detail-oriented and take pride in clean, well-tested, well-documented models.

You thrive in fast-paced environments where requirements evolve and priorities shift.

You collaborate effectively with both technical and non-technical stakeholders.

You are curious and continuously look for ways to improve systems, processes, and outcomes.

Key Characteristics We Are Looking For:

End-to-End Capability: Comfortable across ingestion, transformation, warehousing, and analytics delivery.

Execution Focus: Ships reliable pipelines and models that hold up in production.

Ownership Mentality: Takes responsibility for data from source through consumption and support.

Technical Quality: Builds testing, monitoring, and documentation in from the start—not after.

Adaptability: Able to navigate changing requirements and evolving priorities.

Collaboration: Works effectively with Analytics, Product, Operations, and Finance.

Systems Thinking: Understands how upstream changes ripple through models and downstream consumers.

ESSENTIAL DUTIES AND RESPONSIBILITIES

Core Data Platform Development

Build and maintain ingestion pipelines into Snowflake using Fivetran and custom Python where connectors fall short

Design and own dbt models—staging through marts—with clear tests, documentation, and ownership

Model operational data to reflect real-world logistics workflows, not just source-system structure

Contribute to improving warehouse design, performance, and maintainability

Integrations & Data Delivery

Design and implement data integrations with third-party and internal systems (e.g., TMS, WMS, partner platforms)

Operationalize data through Hightouch, syncing modeled data back into the systems where work happens

Deliver curated, well-defined datasets that power Omni dashboards and self-serve reporting

Ensure pipelines and syncs are reliable, scalable, and maintainable in production

Platform Ownership & Governance

Own Snowflake performance and cost—warehouse sizing, query tuning, storage strategy

Establish data quality standards: testing, monitoring, alerting, and lineage so issues surface before stakeholders find them

Set and enforce governance practices—access controls, naming conventions, shared definitions, documentation

Participate in code reviews and contribute to shared engineering standards and best practices

Identify and address technical debt and pipeline inefficiencies

Cross-Functional Collaboration

Partner with Analytics, Product, Operations, and Finance on data model design and execution

Support investigation and resolution of data issues affecting internal teams and customers

Provide technical input to improve workflows and reduce operational friction

Communicate clearly on technical trade-offs, timelines, and risks

Success Metrics / Outcomes

Reliability and freshness of pipelines in live environments

Adoption and trust in curated datasets across the business

Speed from business question to production-ready model

Reduction in data issues and one-off reporting requests

Snowflake performance and cost efficiency

Model quality, documentation, and maintainability

Positive feedback from internal teams and customers

MINIMUM QUALIFICATIONS

[5]+ years of experience in data engineering or a closely related role

Advanced SQL and strong Snowflake experience, including performance and cost optimization

Production dbt experience—modeling, testing, macros, and CI

Proficient Python for pipeline work, API integrations, and automation

Experience with ELT tooling (Fivetran or equivalent) and reverse ETL (Hightouch or equivalent)

Solid grounding in dimensional modeling and warehouse design

Track record building data quality and observability into pipelines

Git-based workflows and version control discipline

Strong collaboration and communication skills

Experience with Omni, Looker, or a similar semantic-layer BI tool preferred

Experience with logistics, transportation, or supply chain data (TMS, WMS, EDI, telematics) preferred

Physical Demands and Work Environment

The physical demands described here are representative of those required of an employee to successfully perform the essential functions of this job. Employees must be able to meet the requirements of this position, with or without reasonable accommodation.

While performing the duties of this job, the employee is regularly required to communicate effectively with coworkers and external stakeholders in person and frequent use of computer-based messaging. The employee is required to maneuver about the work areas and move/manipulate various objects. This position may require extended work hours and travel.

Note

This job description in no way states or implies that these are the only duties to be performed by the employee(s) incumbent in this position. Employees will be required to follow any other job-related instructions and to perform any other job-related duties requested by any person authorized to give instructions or assignments. To perform this job successfully, the incumbents will possess the skills, aptitudes, and abilities to perform each duty proficiently. Some requirements may exclude individuals who pose a direct threat or a significant risk to their own or others' health or safety. The requirements listed in this document are the minimum levels of knowledge, skills, or abilities. This document does not create an employment contract, implied or otherwise, other than an “at will” relationship.

The company is an Equal Opportunity Employer, a drug-free workplace, and complies with applicable ADA regulations.