Data Engineer

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October 20

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Roadie

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Transport • eCommerce • Logistics

Roadie is a crowdsourced delivery platform that provides local same-day delivery across the United States. As a UPS company since 2021, it offers reliable delivery solutions with a network of 200,000 drivers, enabling efficient last-mile shipping for various industries like retail, e-commerce, and healthcare. Roadie's services include handling deliveries for bulky items, returns processing, and providing delivery solutions for a wide range of industries including airline luggage, grocery, and construction supplies. Their platform supports streamlined delivery operations with real-time tracking, 24/7/365 availability, and seamless API integration, making Roadie an ideal solution for businesses looking to improve their logistics and delivery capabilities.

51 - 200 employees

Founded 2014

🚗 Transport

🛍️ eCommerce

📋 Description

• Build efficient, high quality, integrated and increasingly real-time ETL/ELT pipelines to organize, collect, standardize and integrate data that facilitate more complete, accurate and consistent data for insights and reporting • Partner with engineering, data science, and business stakeholders to build data insights and help them to achieve their business goals • Deliver data capabilities and new data products to accelerate investments in data and democratize data across the enterprise • Provide production support for data tools and data needs across the business • Research and implement cutting edge solutions to solve challenges related to ETL/ELT, data processing, and analytics • Participate in an on-call rotation to ensure the reliability, availability, and performance of production data pipelines and systems

🎯 Requirements

• Bachelor’s degree in Computer Science, Data Analytics or related field • 5+ years of experience working with data systems, data warehouse solutions, and ETL/ELT • 4+ years of experience building data infrastructure and platforms using streaming frameworks such as Kafka/Kinesis/Flink/Spark Structured Streaming, etc. • 4+ years of experience with PostgreSQL, as well as MPP databases such as Redshift • 4+ years of experience with one or more language/framework such as Python/Scala/Spark/PySpark • 4+ years of experience with scaling production systems, ideally in a start-up environment • 3+ years of experience using CI/CD tools to build and deploy projects • 3+ years of experience working with DevOps tools such as Docker, Kubernetes, AKS, Helm, Terraform, etc to own end-to-end deployment of Data Engineering projects • 3+ years of experience developing and optimizing dbt models, implementing best practices, and ensuring data quality through testing and documentation. Proficient in version control (Git) and integrating dbt with modern data warehouses (e.g., Snowflake, BigQuery, Redshift, PostgreSQL). • 3+ years of experience working with workflow management tools such as Airflow/Luigi/Dagster • Experience implementing data quality checks using dbt tests, custom SQL validations, and data profiling tools. Proficient in designing automated testing frameworks to ensure data accuracy, consistency, and reliability across pipelines. • Experience with OLAP datastores such as Clickhouse, Apache Pinot, Druid • Experience with cloud-based architectures on AWS, GCE, or similar • Experience with various data visualization tools such as Redash/Superset/Tableau/Lightdash/Power BI • Experience participating in on-call rotations for data or infrastructure systems

🏖️ Benefits

• Competitive compensation packages • 100% covered health insurance premiums for yourself • 401k with company match • Tuition and student loan repayment assistance (that’s right - Roadie will contribute directly to your existing student loans!) • Flexible work schedule with unlimited PTO • Monthly 3-day weekends • Monthly WFH stipend • Paid sabbatical leave- tenured team members are given time to rest, relax, and explore • The technology you need to get the job done