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SpotHero

Chicago / Global

Senior Data Engineer

  • $130.000 - $190.000

Job Summary

Salary Range:
$130.000 - $190.000
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Job Description

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

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 Career game changer – A truly unique experience to work for a fast-growing startup in a role with unlimited potential for growth

Flexible PTO policy and great work/life balance – We value and support each individual team member

Annual parking stipend – we help people park!

The opportunity to collaborate with fun, innovative, and passionate people in a casual, yet highly productive atmosphere

Medical (prescription drug and paramedical coverage), Dental, Vision, Life Insurance, STD, and LTD

Up to 95% of Medical Premiums, 50% of Dental & Vision Premiums, company-sponsored Life Insurance, 401K, and generous parental leave

Demonstrated experience designing and supporting technology intended to be used by other stakeholdersYou are able to design and implement high-quality software in PythonStrong ability to communicate on both business and technology subjectsYou 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!)We care about your abilities, not how you gained them. You might demonstrate the capabilities below through any combination of relevant professional experience, experience in a research setting, formal education, self-guided learning, open source contributions, or public speaking / writing / teaching experienceExperience with Airflow, Luigi, Prefect, or other ETL scheduling toolsExperience using SQL to read and manage dataExperience 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 componentsAbility to deploy containerized software in Kubernetes, or sufficient experience in similar technologies like Apache Mesos or Amazon ECSHands-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 themExperience using the latest AI tooling (Claude, Codex, etc.)Experience with cloud data pipeline services like dbt Cloud, Airbyte, or HightouchRedshift, Presto, or other MPP database experienceExperience with at least one JVM language (we use Kotlin, but Java or Scala experience works)Postgres, MySQL, or other RDBMS experienceMessage driven or streaming architectures, such as those with Kafka, Spark, Flink

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