Arrive Logistics is one of the fastest-growing freight brokerages in the nation.
The Role
Design, build, and maintain scalable data pipelines and cloud data infrastructure. Ensure data quality, governance, and RBAC. Orchestrate batch ML pipelines, optimize performance and costs, collaborate with stakeholders, mentor team members, participate in on-call and incident management, and evaluate vendor/architecture tradeoffs.
Summary Generated by Built In
Who We Are
Arrive Logistics is a leading transportation and technology company in North America, with plans to continue to significantly grow year over year. Our success is a testament to our remarkable team and what we are building together. We’re committed to providing employees with a meaningful work experience and have established an award-winning culture that supports personal and career development in a fun, casual, and collaborative environment. There has never been a more exciting time to get on board, so read on to learn more and apply today!
Who We Want
As a Senior Data Engineer at Arrive Logistics, you will build and own the data ecosystem that powers our analytics, business intelligence, and data science initiatives. You’ll work alongside Data, Engineering, and IT specialists to define and deploy new data infrastructure and tooling as well as own the pipelines that ingest and transform data integral to our analytics, BI, and data science initiatives. This is a high impact role where you will directly influence how Arrive leverages its most valuable asset, data.
What You’ll Do
- Design, build, and optimize robust, scalable, and reliable data pipelines to ingest and process data from a wide variety of sources.
- Develop and maintain our data warehousing solutions (e.g. Snowflake), including maintenance of an advanced RBAC model to ensure data governance throughout all data tooling.
- Ensure data quality and integrity by implementing data validation frameworks, monitoring systems, and anomaly detection protocols.
- Architect and manage cloud-based data infrastructure.
- Orchestrate batch machine learning pipelines. Work closely with data scientists to orchestrate code based on data science and product requirements, getting alignment on optimizations when necessary.
- Collaborate with stakeholders, including data scientists, analysts, and product managers to understand data requirements and deliver actionable solutions.
- Improve performance, efficiency and optimize cost of existing data systems and processes.
- Work alongside Data and Engineering leadership to weigh tradeoffs in build vs buy decisions and tradeoffs in product roadmap vs technical initiatives.
- Work with internal software engineering teams to define architectures and best practices for ingesting data into the data warehouse and making aggregated data and metrics from the data warehouse available to our production applications.
- Interact with vendors to craft the adoption of new technology and infrastructure for the team.
- Leverage and drive team adoption of AI coding agents, ensuring best practices are defined and kept up to date as AI tooling advances.
- Take part in an on-call rotation. Work with Engineering leadership to define SLAs and alerting policies for our systems.
- Lead and participate in incident management, ensuring clear and timely communication with stakeholders.
- Be a leader, mentor, and subject matter expert for the team, stakeholders, and peers. Foster a collaborative environment that drives solutions forward at a larger scope.
Qualifications
- Bachelor’s degree in Computer Science, Engineering, or a related field or equivalent professional experience.
- 5+ years experience in data engineering.
- Expert proficiency in SQL and strong programming skills in Python.
- Proven experience building and orchestrating data pipelines using dbt and Airflow
- Hands-on experience developing data solutions in a major cloud environment, with a strong preference for Microsoft Azure.
- Solid understanding of BI-tooling integrations with a cloud data warehouse, with a strong preference for PowerBI
- Solid understanding of event-driven architecture and the use of messaging systems like Kafka to enable real-time data flow.
- Experience with a modern cloud data warehouse like Snowflake, Databricks, BigQuery, or Redshift.
- Familiarity with CI/CD, microservice architecture, domain driven design, data contracts
- Solid understanding with best practices around data security/privacy, role-based access control
- Experience with machine learning concepts, frameworks, and infrastructure
The Perks of Working With Us
- Take advantage of our comprehensive benefits package, including medical, dental, vision, life, disability, and supplemental coverage.
- Invest in your future with our matching 401(k) program.
- Build relationships and find your home at Arrive through our Employee Resource Groups.
- Enjoy office wide engagement activities, team events, happy hours and more!
- Leave the suit and tie at home; our dress code is casual.
- Work in the booming city of Austin, TX – we are in a convenient location close to the airport and downtown.
- Park your car for free on site!
- Start your morning with a specialty drink from our fully stocked coffee bar, Broker’s Brew.
- Sweat it out with the team at our onsite gym.
- Maximize your wellness with free counseling sessions through our Employee Assistance Program
- Take time to manage your physical and mental health - we offer company paid holidays, paid vacation time and wellness days.
- Receive 100% paid parental leave when you become a new parent.
- Get paid to work with your friends through our Referral Program!
- Get relocation assistance! If you are not local to the area, we offer relocation packages.
Your Arrive Experience
When we say “award-winning culture,” we mean it. We’ve been recognized as a top workplace by Inc. Fast Company, Fortune, and earned Top Workplaces and Great Place to Work, to name a few. We intend on topping many more of those lists in the years to come, but we’re not in it for the trophies. We’re committed to culture because it keeps us connected to each other and invested in our shared success while having a blast along the way. Our employee-founded resource groups create communities within Arrive’s walls, including Women in Logistics, Emerging Professionals, Prisms, Black Logistics Group, Salute and Unidos.
Notice:
To ensure a safe and transparent interview process, we want to note that Arrive Logistics adheres to strict recruitment practices. Candidates undergo an interview process, and Arrive Logistics does not provide unsolicited job offers. If you have concerns about receiving a fraudulent offer, please contact [email protected] for verification.
Top Skills
Airflow
BigQuery
Ci/Cd
Data Contracts
Databricks
Dbt
Domain Driven Design
Kafka
Microservice Architecture
Azure
Power BI
Python
Redshift
Role-Based Access Control
Snowflake
SQL
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The Company
What We Do
At Arrive Logistics, our relentless pursuit of perfection fuels our ability to optimize operations, identify efficiencies, build technology, and deliver innovation that pushes businesses like yours forward. But it’s not just what we do that sets us apart from everyone else — it’s what we’re made of grit, determination, and a 24/7 commitment to our partners.
The details matter. We don’t just connect freight and carriers; we think critically about every element of the process, working with precision to anticipate your needs. That means more capacity, a consistent freight experience — no surprises.
Our Work Matters: Shippers, carriers, and brokerages are the primary players in the logistics industry, which powers the U.S. economy and makes everyday life possible. If you have ever bought it or used it … it has been on a truck!
Why Work With Us
We are an ambitious, high-growth company that pushes the limit of what’s possible for our team and partners. In only 10 years, Arrive surpassed 30,000 competitors to become a Top 7 truckload brokerage — and we’re just getting started. We are on track to break into the Top 5 by 2025 and the Top 3 by 2026.
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Arrive Logistics Teams
Arrive Logistics Offices
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Austin, TX
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