Senior Data Engineer

Who You Are As 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 Do Collaborate with cross‑functional teams to develop end‑to‑end data pipelines and foundational data sets. Design and own data architecture for large‑scale projects while managing operational trade‑offs. Build and optimize sophisticated data pipelines, models, and visualizations across multiple domains. Define and manage Service Level Agreements (SLAs) for all owned data sets. Implement data security models, ensure privacy compliance, and evolve data governance processes. Solve complex integration challenges using optimal ETL/ELT patterns for structured and unstructured data. Maintain production processes by optimizing complex code using advanced algorithmic concepts. Streamline data artifact development by optimizing pipelines, dashboards, and frameworks. Mentor team members through actionable feedback to foster collective skill growth. Maintain flexibility with availability during evening hours. What We’re Looking For Bachelor’s degree in Computer Science, Computer Engineering, or a relevant technical field. Master’s degree preferred. 5+ years of experience in data engineering, database engineering, business intelligence, data warehousing, and ETL tools, working with large data sets in the cloud. 5+ years of experience with Python, and experience building scalable Big Data solutions and ETL ecosystems. Proficiency in SQL, ETL/ELT, and data modeling, with extensive experience in Snowflake and dbt. Hands‑on experience with RDBMS such as MySQL, MS SQL Server (optional), and Postgres. Familiarity with integration tools like Airflow and Automic, along with a working knowledge of CI/CD pipelines. Ability to deliver high standards of code quality, system reliability, and performance. Deep understanding of the modern IaC ecosystem to drive automated infrastructure deployments. Experience with cloud computing services, preferably AWS, including hands‑on experience with services like Glue, Airflow (MWAA), DMS, EKS, and SNS. While Not Required, These Are a Plus Experience with Spark and PySpark. Master’s degree in Computer Science, Computer Engineering, or a relevant technical field. 4 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. 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 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. 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. #J-18808-Ljbffr Metropolis Corp