Senior Data Engineer

Who We AreThe real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it.

Who You AreAs a Senior Data Engineer at Metropolis, you will play a key role in shaping data products that align with our mission. Your technical expertise and analytical acumen will contribute to designing and building extensive data sets that impact thousands of internal users and millions of members. Join a world-class data engineering team dedicated to advancing your skills and career in data engineering and beyond.

What You'll DoCollaborate with cross-functional teams to develop end-to-end data pipelines and foundational data setsDesign and own data architecture for large-scale projects while managing operational trade-offsBuild and optimize sophisticated data pipelines, models, and visualizations across multiple domainsDefine and manage Service Level Agreements (SLAs) for all owned data setsImplement data security models, ensure privacy compliance, and evolve data governance processesSolve complex integration challenges using optimal ETL/ELT patterns for structured and unstructured dataMaintain production processes by optimizing complex code using advanced algorithmic conceptsStreamline data artifact development by optimizing pipelines, dashboards, and frameworksMentor team members through actionable feedback to foster collective skill growthMaintain flexibility with availability during evening hoursWhat we're looking forBachelor's degree in Computer Science, Computer Engineering, or a relevant technical fieldmaster's degree is preferred5+ years of experience in data engineering, database engineering, business intelligence, data warehousing, and ETL tools, working with large data sets in the cloud5+ years of experience with Python, and experience building scalable Big Data solutions and ETL ecosystemsProficiency in SQL, ETL/ELT, and data modeling, with extensive experience in Snowflake and dbtHands-on experience with RDBMS such as MySQL, MS SQL Server (optional), and PostgresFamiliarity with integration tools like Airflow and Automic, along with a working knowledge of CI/CD pipelinesAbility to deliver high standards of code quality, system reliability, and performanceDeep understanding of the modern IaC ecosystem to drive automated infrastructure deploymentsExperience with cloud computing services, preferably AWS, including hands-on experience with services like Glue, Airflow (MWAA), DMS, EKS, and SNSWhile not required, these are a plus:

Experience with Spark and PySparkMaster's degree in Computer Science, Computer Engineering, or a relevant technical field4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $160,000.00 USD to $220,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate’s application relative to the required job qualifications and responsibilities listed in the job posting.

As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records.

Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.