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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.
Job Responsibility:
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
Requirements:
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
What we offer:
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