Offer summary

Qualifications:

Bachelor's degree in Computer Science or related technical field or equivalent practical experience., 4+ years of experience building data infrastructure and platforms using streaming frameworks., 3+ years of experience with CI/CD tools and DevOps tools for deployment of Data Engineering projects., Proficient in Python and experience with data systems, data warehouse solutions, and ETL/ELT processes..

Key responsabilities:

Build and maintain efficient, real-time ETL/ELT pipelines for data organization and integration.

Collaborate with engineering, data science, and business stakeholders to deliver data insights.

Provide production support for data tools and address data needs across the business.

Research and implement innovative solutions for data processing and analytics challenges.

Job description

Roadie, a UPS Company, is a logistics management and crowdsourced delivery platform. Founded in 2014, Roadie offers businesses fast, flexible and asset-light logistics solutions for last-mile delivery. Roadie enables local delivery to more than 95% of U.S. households by providing access to more than 200,000 independent drivers nationwide – allowing businesses to offer their customers delivery optionality for almost any industry, from airlines to artisans.

Roadie is seeking a Data Engineer who’s passionate about data and making data-driven decisions to join our growing Data Engineering team. This role will focus on building, maintaining, and scaling our data pipelines/platform and CI/CD processes to support streaming architecture. You will work closely with our business and product owners to create useful, easy-to-consume data for reporting and analytics, as well as have the opportunity to help develop strategy for long term Data Platform architecture. Our data is dynamic across many teams, so a collaborative and communicative spirit is essential to ensuring you’re successful in this role.

What You'll Do

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

Roadie’s Technology Stack

Python, Ruby on Rails, Golang
React/Redux, Objective-C and Swift, Android
Postgres, Redshift, Redis, Kafka
AWS
Docker/Kubernetes
Prometheus/Thanos/Loki/Grafana
Github/CircleCI/ArgoCD
Airflow/Apache Pinot/Trino
dbt/Superset/Redash/Lightdash

What You Bring

4+ years of experience building data infrastructure and platforms using streaming frameworks such as Kafka/Kinesis/Flink/Spark Structured Streaming, etc.
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 with one or more language/framework such as Python/Scala/Spark/PySpark/Java/Hadoop
4+ years of experience with scaling production systems, ideally in a start-up environment
5+ years of experience working with data systems, data warehouse solutions, and ETL/ELT
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
3+ years of experience with PostgreSQL, as well as MPP databases such as Redshift
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
Bachelor's degree in Computer Science or related technical field or equivalent practical experience

Bonus

Experience working with Databricks/Qubole/Snowflake or similar platforms using Spark/PySpark/Scala
Application and front end development experience
Experience with AWS Zero-ETL

Why Roadie?

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

Required profile