{"id":1046146,"url":"https://alion.io/job/spothero-senior-data-engineer-i","title":"Senior Data Engineer I","company":{"id":179777,"name":"SpotHero","domain":"spothero.com","url":"https://alion.io/company/spothero","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Chicago, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":136000,"max":153000,"currency":"USD","period":"year","gross":null,"usd_annual":153000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Amazon ECS","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"CloudFormation","optional":false},{"name":"Docker","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Kubernetes","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Prefect","optional":false},{"name":"Pulumi","optional":false},{"name":"Python","optional":false},{"name":"SaltStack","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"Trino","optional":false},{"name":"Claude","optional":true},{"name":"dbt","optional":true},{"name":"Flink","optional":true},{"name":"Java","optional":true},{"name":"Kotlin","optional":true},{"name":"Looker","optional":true},{"name":"Machine Learning","optional":true},{"name":"MySQL","optional":true},{"name":"Presto","optional":true},{"name":"Redis","optional":true},{"name":"Scala","optional":true}],"status":"live","first_seen_at":"2026-09-18T20:48:28Z","employer_posted_date":"2026-09-18","last_verified_at":"2026-11-07T19:26:11Z","board_verified":true,"closed_at":null,"days_open":50,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":50},"description":"Who we are: \nAt 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.\nSenior Data Engineer at SpotHero:\nSpotHero 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.\nAs 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.\nWhat will you do:\nWork with our Analytics, Data Science, Marketing and other squads to understand their data storage and processing needs.\nBe a hands-on contributor to the design and implementation of our data platform solutions from the infrastructure layer up to the API.\nBuild robust pipelines that make sure data is where it needs to be, when it needs to be there in a manner that scales.\nBuild frameworks and tools to help others design and build their own data pipelines in a self-service manner.\nPerformance testing and engineering to ensure that our systems always scale to meet our needs.\nBe a key member of the team focused on hands-on contribution to the implementation and operation of our data platform.\nWhat you bring:\nWe 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.\nYou are able to design and implement high-quality software in Python.\nExperience using SQL to read and manage data.\nExperience with Airflow, Luigi, Prefect, or other ETL scheduling tools.\nYou 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!)\nHands-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\nExperience 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.\nAbility to deploy containerized software in Kubernetes, or sufficient experience in similar technologies like Apache Mesos or Amazon ECS.\nDemonstrated experience designing and supporting technology intended to be used by other stakeholders.\nStrong ability to communicate on both business and technology subjects.\nNice to Haves:\nMessage driven or streaming architectures, such as those with Kafka, Spark, Flink.\nPostgres, MySQL, or other RDBMS experience.\nRedshift, Presto, or other MPP database experience.\nExperience with at least one JVM language (we use Kotlin, but Java or Scala experience works).\nExperience with cloud data pipeline services like dbt Cloud, Airbyte, or Hightouch.\nExperience using the latest AI tooling (Claude, Codex, etc.)\nTechnology we use:\nOur 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.\nSeeking Candidates in: \nChicago, Illinois \n\nWhat we are offering:\nCareer game changer - A truly unique experience to work for a fast-growing company in a role with unlimited growth potential.\nExcellent benefitsWe 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.\n\nFlexible PTO policy and outstanding work/life balance - We value and support each individual team member.\nUberEats weekly lunch stipend for in-office days \nUdemy License and Personal Learning Budget - We support the professional and personal growth of our people by providing everyone with learning resources and development opportunities. \nAnnual parking stipend - Duh. We help people park!\nThe opportunity to collaborate with fun, innovative, and passionate people in a casual yet highly productive atmosphere.\nOur 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.\nEmployee programs to grow and support our people such as Discovery Days for Product and Engineering, Gearing up for Aspiring Leaders, and Mentorship Program. \nWellness program - a workplace that actively supports your physical and mental wellbeing through ongoing events, initiatives, resources, and thoughtful perks and benefits. \nA 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.\n\nCompensation in Illinois:\nDepending 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.\nAt 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.\nSpotHero 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.\nPLEASE NOTE: This position is ineligible for visa sponsorship. 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