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SpotHero

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Senior Data Engineer I

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Summary

Senior Data Engineer on SpotHero's Data Engineering squad designs, builds, and operates the company's data platform — pipelines, data models, and reusable infrastructure services on AWS and Kubernetes — for Analytics, Data Science, Marketing, and Engineering stakeholders, using Python, SQL, Airflow, dbt, Spark, Kafka, Redshift, Trino, and Terraform.

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 key hands-on contributor to the design and implementation of our data platform solutions from the infrastructure layer up to the API.
  • Model and architect our data in a way that will scale with the increasingly complex ways we’re analyzing it.
  • Build robust pipelines that make sure data is where it needs to be, when it needs to be there.
  • Build frameworks and tools to help our software engineers, data analysts, and data scientists 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.
  • Contribute to more junior team members' development, via thoughtful reviews and your own exemplary work.
  • Data Modeling/Architecting
    • Design data models with a broad understanding of underlying systems.
    • Create approachable, thorough documentation of data models describing how to access their data in a performant way.
    • Build performant models that are consistent with accompanying documentation that are built with quality in mind.
    • Consult with stakeholders on the best practices for creation and deployment of data models and data flows.
  • Data Processing
    • Define and enforce service level agreements between products owned and stakeholders, including configuration of monitoring and alerting
    • Understand data lineage and dependencies between data pipelines.
    • Design, implement, and maintain complex data processing pipelines which involve multiple integration points, including those which rely on distributed systems like Kafka and Spark.
    • Influence data processing and infrastructure practices across all of SpotHero.
    • Determine the best architecture, batch or streaming, for applications being built.
  • Working with Infrastructure
    • Evaluate different architectures for new systems or changes to the company’s existing systems, and propose thorough, specific designs for implementing those architectures.
    • Provision new infrastructure in cloud environments.
    • Deploy and manage containerized applications running in Kubernetes.
    • Identify and remedy security, cost, and maintainability issues in the team’s infrastructure.
    • Manage and integrate autoscaling, logging, monitoring and alerting for the team’s systems.

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.
  • Experience using the latest AI tooling (Claude, Codex, etc.)

Technology we use:

  • Our Data Stack is: Our Monolith Database is Postgres and Redis for caching. We also use Redshift as our data warehouse and S3 as our data lake. The data lake is queried using Trino. We use Apache Airflow, Python, dbt, and Apache Spark for ETL. For streaming data, we use Apache Kafka managed by a vendor and use Kafka Connect, Kafka Streams, and Spark Streaming for stream processing. All machine learning work is done in Python, using the PyData ecosystem. Our analysts use Looker for internal-facing business intelligence reports, and Amazon Quicksight for external-facing data visualizations.

Seeking Candidates in:

  • Chicago, Illinois

What we are offering:

  • Career game changer – A truly unique experience to work for a fast-growing company in a role with unlimited growth potential.
  • Excellent 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 – We value and support each individual team member.
  • UberEats weekly lunch stipend for in-office days
  • Udemy License and Personal Learning Budget – We support the professional and personal growth of our people by providing everyone with learning resources and development opportunities.
  • Annual parking stipend – Duh. We help people park!
  • The opportunity to collaborate with fun, innovative, and passionate people in a casual yet highly productive atmosphere.
  • Our commitment to allyship has been a central driver of how we Respect Fellow Drivers. You’ll have the opportunity to be part of Employee Resource Groups, access allyship learning resources, and actively contribute to our ongoing effort of making SpotHero inclusive for all.
  • Employee programs to grow and support our people such as Discovery Days for Product and Engineering, Gearing up for Aspiring Leaders, and Mentorship Program.
  • Wellness program – a workplace that actively supports your physical and mental wellbeing through ongoing events, initiatives, resources, and thoughtful perks and benefits.
  • A workplace recognized as CityLights award winner by 1871, 2026 Best Places To Work by BuiltIn, Most Loved Workplace Certified by the Best Practice Institute, and recipient of multiple Comparably awards, including Best Company Culture, Best Company for Women, and Best Company for Diversity.

Compensation in Illinois:

  • Depending on your skillset and experience, you can expect your base salary to be between $136,000 - $153,000 as well as a discretionary bonus, and leading total rewards package.

At SpotHero, we Respect Fellow Drivers by providing an inclusive interview experience for everyone, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process. Please let our team know of your need when you apply or as you begin interviewing with our team.

SpotHero is an equal opportunity employer. We know that a diverse workforce is the strongest workforce, and are committed to building and supporting an inclusive environment for all.Additionally, because we want to Remember to Signal, if you choose to provide us personal information in connection with a job application, please review our Applicant Privacy Notice which provides details about what information we collect and process about you in order to consider your candidacy.

PLEASE NOTE: This position is ineligible for visa sponsorship. To be considered for this role, you must be legally authorized to work in the US and not require sponsorship for employment now or in the future.

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