Senior Data Engineer I

SpotHero • Chicago, IL

4d • $136,000 - $153,000 • Onsite

About The Position

SpotHero is seeking a Senior Data Engineer to join the Data Engineering squad. This squad interacts with data consumers such as Data Science, Marketing, Engineering, and Business Analysts to provide data platform solutions that meet their day-to-day needs and long term vision. As a Senior Data Engineer, you’ll focus heavily on backend application development with a focus on building reusable infrastructure services for our stakeholders to enable them to model, store, access, process, and analyze SpotHero’s data. You’ll also design, instantiate, observe and maintain infrastructure services, both AWS-managed and open source solutions. As a Senior Data Engineer, you’ll influence the technology choices and patterns established for data-heavy workloads at SpotHero.

Requirements

• You are able to design and implement high-quality software in Python.
• Experience using SQL to read and manage data.
• Experience with Airflow, Luigi, Prefect, or other ETL scheduling tools.
• You have experience provisioning and managing infrastructure with infrastructure-as-code tools (we use Terraform, but experience with similar tools like CloudFormation, Pulumi, or SaltStack is totally fine!)
• Hands-on experience using multiple data platforms and tools (e.g. Airflow, Hive, Kafka, Postgres, Redshift, S3, Spark, Trino, Airbyte), and experience deploying, monitoring, and maintaining at least one of them
• Experience designing and implementing software (pipelines, services and client libraries) that is run in Docker containers, automatically tested on a continuous integration (CI) system, and versioned in git. You have experience writing shell scripts, Makefiles, or other configuration to glue together these components.
• Ability to deploy containerized software in Kubernetes, or sufficient experience in similar technologies like Apache Mesos or Amazon ECS.
• Demonstrated experience designing and supporting technology intended to be used by other stakeholders.
• Strong ability to communicate on both business and technology subjects.

Nice To Haves

• Message driven or streaming architectures, such as those with Kafka, Spark, Flink.
• Postgres, MySQL, or other RDBMS experience.
• Redshift, Presto, or other MPP database experience.
• Experience with at least one JVM language (we use Kotlin, but Java or Scala experience works).
• Experience with cloud data pipeline services like dbt Cloud, Airbyte, or Hightouch.
• Experience using the latest AI tooling (Claude, Codex, etc.)

Responsibilities

• Work with our Analytics, Data Science, Marketing and other squads to understand their data storage and processing needs.
• Be a hands-on contributor to the design and implementation of our data platform solutions from the infrastructure layer up to the API.
• Build robust pipelines that make sure data is where it needs to be, when it needs to be there in a manner that scales.
• Build frameworks and tools to help others design and build their own data pipelines in a self-service manner.
• Performance testing and engineering to ensure that our systems always scale to meet our needs.
• Be a key member of the team focused on hands-on contribution to the implementation and operation of our data platform.

Benefits

• We cover a generous portion of Medical Premiums, 50% of Dental and Vision Premiums, company-sponsored Life Insurance, STD, and AD&D coverage, a 401(k) with match and immediate vesting, and comprehensive leave policies to meet your needs in creating space for life.
• Flexible PTO policy and outstanding work/life balance
• UberEats weekly lunch stipend for in-office days
• Udemy License and Personal Learning Budget
• Annual parking stipend
• Wellness program

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed