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SpotHero

Senior Data Engineer I

Chicago, IL; ChicagoUnited States
Senior · Engineering
POSTED 18 SEPTVERIFIED 1D AGO
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Role
51 days opentrue age
Posted 18 Sept
Pay
$136k–$200kno pay posted
Market p25–p75
$136k–$200k
Chicago · n=15 · 365d to 4 Nov
CompanySpotHero →
8open roles
Opened · 30d
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Closed · 30d
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Market
1,217open · Senior Data engineering
Opened · 7d
+565% of open
All data engineering
3,809open
All tracked boards · live 9 Nov · n=1,217
PythonGoJavaKotlinScalaPostgreSQLMySQLKafkaAWSKubernetesDockerTerraform

Who we are

At SpotHero, we work as a team to empower people to get everywhere, easier! We’re rapidly growing with the mission of bringing the parking industry into the future through technology. Drivers across the nation use the SpotHero mobile app and website to reserve convenient, affordable parking in advance, on-the-go or through their connected cars, and parking companies rely on us to help them reach new customers while optimizing their business. We connect the dots with cutting-edge technology, delivering value to both sides of this exciting, evolving marketplace. We’ve been quite busy, take a peek at some of our recent announcements.

Senior Data Engineer at SpotHero

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.

What will you do

  • 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.

What you bring

  • 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 experience.
  • 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.
Source · SpotHeroFirst seen 2 NovOriginal ↗