Metropolis

Metropolis

Senior Data Engineer

Nashville, Tennessee, United States · Senior

Sponsorship not specifiedDetected 25 days ago
PythonSQLPostgreSQLMySQLSnowflakeAWSCI/CDSparkAirflowdbtData EngineeringCollaboration

About the role

  • Join a world-class data engineering team dedicated to advancing your skills and career in data engineering and beyond.
  • 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.
  • The anticipated base salary for this position is $160,000.00 USD to $220,000.00 USD annually.

Responsibilities

  • 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
  • Maintain production processes by optimizing complex code using advanced algorithmic concepts
  • Maintain flexibility with availability during evening hours
  • Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience.
  • 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.

Requirements

  • Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field
  • 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
  • Experience with cloud computing services, preferably AWS, including hands-on experience with services like Glue, Airflow (MWAA), DMS, EKS, and SNS
  • Experience leveraging AI tools to transform static workflows into responsive, high-output processes
  • AEDTs are used to assist in assessing a candidate's application relative to the required job qualifications and responsibilities listed in the job posting.

Nice to have

  • Experience with Spark and PySpark
  • Master's degree in Computer Science, Computer Engineering, or a relevant technical field
  • While not required, these are a plus:

Compensation

  • The anticipated base salary for this position is $160,000.00 USD to $220,000.00 USD annually.

Company info

  • The 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 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.
  • The 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.
  • What we're looking for
  • 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.

Equal opportunity

  • equal opportunity employer.
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This listing is sourced directly from Metropolis's careers page and normalized into a canonical job model.