Who we are

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.

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 is 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, 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. #LI-CM1 #LI-Onsite

WORKING AT THE MLC

The MLC is committed to excellence, service, transparency, and diversity. Our culture is collaborative, our people are adaptable. On our team, you are respected, valued for your unique strengths and experiences, and empowered to identify and resolve your own challenges.

The Mechanical Licensing Collective (The MLC) is a nonprofit organization designated by the U.S. Copyright Office to administer blanket mechanical licenses for digital music services in the United States. Our mission is to ensure that songwriters, composers, and music publishers are accurately paid for the use of their music in the digital ecosystem. While our foundation is rooted in music licensing and rights administration, the scale and complexity of the data we process-billions of usage records from digital service providers-has positioned The MLC at the intersection of music and technology. As we continue to build and refine the systems that power matching, royalty processing, and rights management, we are increasingly operating like a technology company, developing sophisticated platforms, data infrastructure, and automation to support the future of digital music licensing.

THE ROLE

As a Quality Assurance Engineer, you will design, implement, and own the testing strategy for the Matching Platform. You will build and maintain automated testing frameworks and perform exploratory validation across workflows, APIs, integrations, and user-facing components to ensure the system behaves as intended and that changes do not introduce regressions. You will contribute production-quality testing code, establish testing standards and best practices, and work closely with the Matching Team throughout story refinement and implementation to ensure new functionality is testable, clearly defined, and validated before completion. The Matching Platform is a critical tool that enables The MLC to drive accurate royalty payments to our Members.

QUALIFICATIONS

• Minimum five (5) years’ experience in Quality Assurance or Quality Engineering within a software engineering team.
• Strong experience designing and implementing automated tests; able to write and maintain production-quality testing code.
• Hands-on experience with manual and exploratory testing in complex systems; able to validate behavior against business rules.
• Experience testing APIs and workflow-heavy or data-driven systems; proficient in SQL; experience working within AWS environments.
• Experience testing machine learning or probabilistic systems, building testing frameworks from scratch, or working with orchestration tools such as Dagster or Airflow is a plus.
• Strong attention to detail, clear documentation skills, and effective collaboration within Agile, cross-functional teams.
• Working proficiency in Python, familiarity with other languages is a plus.

ESSENTIAL RESPONSIBILITIES

AS A QA ENGINEER AT THE MLC, YOU WILL:

• Own the testing strategy for the Matching Platform, ensuring consistent validation across workflows, APIs, integrations, and user-facing components.
• Design, build, and maintain automated test suites in Python, establishing and evolving the team’s testing framework.
• Perform manual and exploratory testing before work is considered complete, validating complex workflows, identifying defects, edge cases, unintended behaviors, and deviations from business rules.
• Collaborate closely with engineers and product stakeholders during story refinement and development to ensure features are testable and clearly defined.
• Define and maintain QA standards and testing practices within the Matching Team, contributing to regression coverage as the platform evolves.
• Investigate and document defects clearly, working with developers to resolve issues prior to ticket completion.

AS A MEMBER OF THE TECHNOLOGY TEAM, YOU WILL:

• Advocate for quality throughout the development lifecycle, partnering with engineers to incorporate testing considerations early.
• Contribute to the evolution of scalable, automated QA practices across the Technology organization.
• Promote consistent standards for reliability, validation, and defect management.
• Participate in Agile ceremonies, providing a quality-focused perspective in planning and retrospectives.
• Support continuous improvement of engineering practices as systems grow in complexity.

About Truework

Truework, recently acquired by Checkr, provides access to crucial employment and income information needed for mortgage loans, apartment rentals, background checks, and more. We’re disrupting a $5B+ industry dominated by legacy incumbents and outdated processes. Within Checkr, Truework operates independently, allowing rapid iteration while leveraging the strengths and assets of the core business.

About the Role

This role sits on Checkr’s Operations Insights & Analytics team, directly supporting Truework’s operations team as its primary analytics partner. Truework’s operations are more complex than a typical help desk — and deeply understanding their processes will be central to your success in this role.

Truework already has some operations reporting and data infrastructure in place, but as the first dedicated analyst focused on this work, you’ll own the process of improving and expanding it. Some existing dashboards need to be rebuilt or consolidated, sources-of-truth established, and the team needs reliable performance & cost metrics. You’ll also contribute to the near-term migration from Looker to Omni Analytics.

The ideal candidate is someone who can context-switch between hands-on data work and strategic analysis, thrives in ambiguity, and is energized by making messy things clean. You should be someone who, when given a high-level goal, figures out what questions to ask, what data is needed, and what infrastructure would provide it — and then builds it.

What You’ll Do

Drive Analysis & Business Performance

• Build and maintain models for cost, headcount, and operational performance that inform leadership decisions across Truework operations
• Track and analyze team performance week-over-week, identifying trends, bottlenecks, and opportunities for efficiency gains
• Translate technical findings into clear recommendations for stakeholders at all levels, from operational teams to executive leadership

Build & Improve Reporting

• Define and standardize key operational metrics, working with stakeholders to ensure shared understanding of definitions and methodology
• Consolidate and rebuild existing dashboards, validating data accuracy and filling gaps in coverage
• Build production dashboards and self-service reporting in Omni Analytics, giving Truework’s operations teams reliable visibility into team performance

Strengthen Data Infrastructure

• Improve and expand existing data models to support reliable analytics across Truework’s operations
• Write and maintain dbt models, manage data pipelines, and work with raw database schemas to strengthen analytical foundations
• Identify and fix data quality issues — bad joins, missing records, misaligned definitions — before they become reporting problems
• Contribute hands-on to migrating Truework’s data infrastructure onto Checkr’s systems, working independently to navigate unknowns and solve technical problems as they arise

What You Bring

Required

• 5+ years of experience in analytics, data engineering, or a hybrid role — ideally in a high-growth or startup environment where you’ve had to build things from scratch
• Advanced SQL: complex joins, window functions, CTEs, query optimization. You should be able to navigate unfamiliar database schemas and figure out how data fits together.
• Hands-on experience with data modeling and pipeline tools (dbt, Airflow, or similar). You’ve built and maintained data models, not just queried them.
• Strong BI experience building production dashboards (Looker, Tableau, or similar). You know how to design reporting that’s actually useful, not just comprehensive.
• Comfort working in ambiguous environments with incomplete information. You don’t wait for perfectly defined requirements — you figure out what’s needed and start building.
• Strong communication skills: you can explain technical concepts to non-technical stakeholders and advocate for data quality and infrastructure investments
• An A-player mindset with a strong bias for action: you raise the bar, move with urgency, stay resilient through ambiguity, and take ownership to deliver meaningful outcomes.

Preferred

• Python for data manipulation, scripting, and statistical analysis
• Experience with data migration projects — moving data between systems, reconciling schemas, validating parity
• Domain experience in operations analytics, fintech, or verification/identity services
• Familiarity with version control (Git) and software engineering practices in an analytics context

What You Get

• A fast-paced and collaborative environment
• Learning and development allowance
• Competitive compensation and opportunity for advancement
• 100% medical, dental, and vision coverage
• Up to $25K reimbursement for fertility, adoption, and parental planning services
• Unlimited PTO policy
• Monthly wellness stipend