Snowflake Jobs in Tennessee.
All active Snowflake roles based in Tennessee.
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Senior Data Engineer
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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
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.
Ready to apply?
Apply to Metropolis
Senior Revenue Manager (Relocation to Boston)
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Join Axon and be a Force for Good.
At Axon, we’re on a mission to Protect Life. We’re explorers, pursuing society’s most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other.
Life at Axon is fast-paced, challenging and meaningful. Here, you’ll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter.
Your Impact
You will lead revenue accounting operations and serve as a strategic partner to FP&A, Commercial Controllership, IT, Professional Services, and Sales. You will ensure accurate and compliant revenue recognition under ASC 606 while strengthening processes, controls, and scalability across a complex, multi-element revenue environment.
This role requires deep revenue accounting expertise in a fast-paced, public company setting.
This role would require relocation to Boston. This role follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesdays through Fridays, with the flexibility to work remotely on Mondays, unless there is an approved workplace accommodation. We believe that connection fuels innovation, and our in-office culture is designed to foster meaningful teamwork, mentorship, and shared success.
Reports to: Director, Revenue Accounting
What You’ll Do
- Lead day-to-day revenue accounting, including key revenue streams, journal entries, reconciliations, and disclosures.
- Ensure accurate revenue recognition and related accounts in compliance with ASC 606.
- Review and document technical accounting conclusions for complex contracts and multi-element arrangements (hardware, SaaS, professional services).
- Partner cross-functionally to evaluate contracts, resolve revenue issues, and optimize order-to-cash processes.
- Oversee monthly and quarterly close activities, analytics, and revenue reporting.
- Maintain and strengthen internal controls and support internal and external audits, including SOX compliance.
- Drive process improvements, automation, and system enhancements to improve efficiency and scalability.
- Coach and develop team members while fostering a high-performance culture.
What You Bring
- Bachelor’s degree in Accounting or Finance required; CPA preferred.
- 7+ years of progressive revenue accounting experience, including required ASC 606 experience in a publicly traded company environment.
- Strong technical expertise in complex revenue arrangements across hardware, SaaS, and professional services.
- Experience operating in a SOX-compliant environment and supporting audits.
- Demonstrated cross-functional partnership with Sales, FP&A, IT, and Operations.
- ERP experience required (D365 or comparable system); advanced Excel skills.
- Experience with automation and data tools (e.g., Sigma, Snowflake, Power BI, Salesforce, RevStream) strongly preferred.
- Finance or FP&A experience a plus.
- Strong analytical and communication skills, with the ability to translate complex accounting matters clearly.
- Proactive, solutions-oriented mindset with a focus on process improvement and scalability.
Benefits that Benefit You
- Competitive salary and 401k with employer match
- Discretionary paid time off
- Paid parental leave for all
- Medical, Dental, Vision plans
- Fitness Programs
- Emotional & Mental Wellness support
- Learning & Development programs
- And yes, we have snacks in our offices
Benefits listed herein may vary depending on the nature of your employment and the location where you work.
Axon is a total compensation company, meaning compensation is made up of base pay, bonus, and stock awards. The actual base pay is dependent upon many factors, such as: level, function, training, transferable skills, work experience, business needs, geographic market, and often a combination of all these factors. Our benefits offer an array of options to help support you physically, financially and emotionally through the big milestones and in your everyday life. To see more details on our benefits offerings please visit https://www.axon.com/careers.
Don’t meet every single requirement? That's ok. At Axon, we Aim Far. We think big with a long-term view because we want to reinvent the world to be a safer, better place. We are also committed to building diverse teams that reflect the communities we serve.
Studies have shown that women and people of color are less likely to apply to jobs unless they check every box in the job description. If you’re excited about this role and our mission to Protect Life but your experience doesn’t align perfectly with every qualification listed here, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
Important Notes
The above job description is not intended as, nor should it be construed as, exhaustive of all duties, responsibilities, skills, efforts, or working conditions associated with this job. The job description may change or be supplemented at any time in accordance with business needs and conditions.
Some roles may also require legal eligibility to work in a firearms environment.
We collect personal information from applicants to evaluate candidates for employment. You may request access, deletion, or exercise other CCPA rights at axongreenhousesupport@axon.com or via our Axon Privacy Web Form. For more information, please see the Your California Privacy Rights section of our Applicant and Candidate Privacy Notice.
Axon’s mission is to Protect Life and is committed to the well-being and safety of its employees as well as Axon’s impact on the environment. All Axon employees must be aware of and committed to the appropriate environmental, health, and safety regulations, policies, and procedures. Axon employees are empowered to report safety concerns as they arise and activities potentially impacting the environment.
We are an equal opportunity employer that promotes justice, advances equity, values diversity and fosters inclusion. We’re committed to hiring the best talent — regardless of race, creed, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, genetic information, veteran status, or any other characteristic protected by applicable laws, regulations and ordinances — and empowering all of our employees so they can do their best work. If you have a disability or special need that requires assistance or accommodation during the application or the recruiting process, please email recruitingops@axon.com. Please note that this email address is for accommodation purposes only. Axon will not respond to inquiries for other purposes.
Phishing alert: Axon will never ask you to pay for any part of the hiring process, including training, equipment, or background checks. We do not make job offers via text message, WhatsApp, or instant messaging platforms without a formal interview process. All legitimate job openings are listed on our official careers page at https://www.axon.com/careers. If you receive a suspicious offer or outreach from an email address that is not @axon.com, or if you are asked for sensitive personal information (bank details, Social Security Number) prematurely, please ignore the message and report it to recruitingops@axon.com.
Ready to apply?
Apply to Axon
Senior Analytics Engineer
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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
Metropolis is seeking a Senior Analytics Engineer to join our Data Engineering and Analytics team. The ideal candidate will possess a passion for creating value using data and a strong foundation in all aspects of analytics engineering. In this pivotal role, you will be instrumental in making data accessible and actionable, facilitating informed decision-making throughout the company. You will partner and lead across multiple product team functions and domains and drive impact through your data vision and architecture.
What you'll do
- Design and implement large-scale data warehouses and data marts using Snowflake, Star, or Data Vault 2.0 schemas
- Build and maintain data transformation pipelines using SQL frameworks like dbt to abstract model code
- Write complex SQL including window functions and STRUCT/ARRAY manipulations while adhering to performance best practices
- Manage and optimize DAGs, including troubleshooting task failures and improving run times
- Implement metadata management, data lineage, and security principles such as least-privilege access
- Use a test-driven approach to design systems that trap poor quality data and trigger alerts within the data flow
- Partner with engineering, data science, and business stakeholders to own project scopes
- Mentor others on data best practices to drive impact through your data vision
- Provide architectural guidance to ensure data is accessible and actionable across the company
- Drive technical excellence within the data engineering and analytics domain
What we're looking for
- 5+ years of experience in data/analytics engineering with proficiency in Python and SQL within Snowflake
- 3+ years of experience with dbt
- Owned large-scale data projects that drove significant impact through effective cross-functional partnering
- Led the design, implementation, and monitoring of data warehouses that enable clear product-focused insights
- Expert at SQL, window functions, and query optimization for complex data manipulations
- Applied performance best practices, including partitions, sort keys, and incremental modeling
- Designed systems using test-driven approaches to ensure data quality and flow integrity
- Familiarity with ELT processes and tools to prepare and clean data for analysis
- Skill in using tools like dbt to build data transformation pipelines
- Experience mentoring stakeholders in Data Science, Analytics, PM, and Engineering on data best practices
While not required, these are a plus:
- A dbt certification
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 $130,000.00 USD to $175,000.00 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
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.
Ready to apply?
Apply to Metropolis
Senior Analytics Engineer
Share this job
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
Metropolis is seeking a Senior Analytics Engineer to join our Data Engineering and Analytics team. The ideal candidate will possess a passion for creating value using data and a strong foundation in all aspects of analytics engineering. In this pivotal role, you will be instrumental in making data accessible and actionable, facilitating informed decision-making throughout the company. You will partner and lead across multiple product team functions and domains and drive impact through your data vision and architecture.
What you'll do
- Design and implement large-scale data warehouses and data marts using Snowflake, Star, or Data Vault 2.0 schemas
- Build and maintain data transformation pipelines using SQL frameworks like dbt to abstract model code
- Write complex SQL including window functions and STRUCT/ARRAY manipulations while adhering to performance best practices
- Manage and optimize DAGs, including troubleshooting task failures and improving run times
- Implement metadata management, data lineage, and security principles such as least-privilege access
- Use a test-driven approach to design systems that trap poor quality data and trigger alerts within the data flow
- Partner with engineering, data science, and business stakeholders to own project scopes
- Mentor others on data best practices to drive impact through your data vision
- Provide architectural guidance to ensure data is accessible and actionable across the company
- Drive technical excellence within the data engineering and analytics domain
What we're looking for
- 5+ years of experience in data/analytics engineering with proficiency in Python and SQL within Snowflake
- 3+ years of experience with dbt
- Owned large-scale data projects that drove significant impact through effective cross-functional partnering
- Led the design, implementation, and monitoring of data warehouses that enable clear product-focused insights
- Expert at SQL, window functions, and query optimization for complex data manipulations
- Applied performance best practices, including partitions, sort keys, and incremental modeling
- Designed systems using test-driven approaches to ensure data quality and flow integrity
- Familiarity with ELT processes and tools to prepare and clean data for analysis
- Skill in using tools like dbt to build data transformation pipelines
- Experience mentoring stakeholders in Data Science, Analytics, PM, and Engineering on data best practices
While not required, these are a plus:
- A dbt certification
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 $130,000.00 USD to $175,000.00 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
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.
Ready to apply?
Apply to Metropolis
Financial Systems Administrator
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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
Metropolis is seeking an Financial Systems Administrator to join our team. You will manage, maintain, and optimize our Oracle Cloud EPM (EPBCS) ecosystem while serving as the strategic bridge between our Financial Planning & Analysis (FP&A) organization and our centralized Data Engineering teams. In our high-velocity, 5,000-location enterprise, financial accuracy is inextricably linked to operational data. You will not only handle traditional EPM administration but also partner directly with data and operational teams to define technical requirements for integrating non-financial KPIs—such as location churn, new facility onboardings, occupancy rates, and transaction counts—directly from our data warehouse into our financial forecasting models. The ideal candidate brings a strong grasp of EPM architecture, SQL data structures, and the communication skills required to translate complex operational metrics into actionable financial drivers.
What you'll do
- Oversee the end-to-end administration, configuration, and continuous optimization of the Oracle Cloud EPM suite (EPBCS)
- Design, build, and troubleshoot Essbase ASO/BSO cubes to support large-scale operational scenario planning
- Act as the primary technical translator between Finance and centralized Data/IT teams; partner with Data Engineering to define technical requirements, ensuring that data models in our data warehouse (e.g., Snowflake) are properly structured for seamless EPM ingestion
- Collaborate with data teams to ingest high-volume non-financial KPIs (e.g., transaction counts, location churn) into EPM planning cubes
- Troubleshoot integration workflows and perform root-cause analysis on data discrepancies using SQL and Python
- Replace static calculation scripts with dynamic, context-aware logic to optimize system performance across thousands of sparse locations
- Utilize EPM Automate alongside Python or batch scripting for complex job scheduling
- Manage the volatile lifecycle of 5,000+ operational locations; ensure location additions, divestitures, hierarchical changes and associated access permissions, synchronize flawlessly across ERP, CRM, and EPM environments
- Develop and maintain high-impact visualization dashboards (Tableau, Looker, Hex) with intuitive narratives to facilitate executive decision-making; provide user support, training, and documentation for supported applications
What we're looking for
- 7+ years of Oracle EPM (EPBCS/Planning) System Administration and development experience in a high-growth, multi-location enterprise
- Bachelor’s degree in Computer Science, Finance, Economics, Accounting, Information Systems, or a related field
- Strong knowledge of data integration tools (EPM Integration Agent, Data Management, EPM Automate) and deep understanding of dependencies between functional components of Oracle EPM
- Proficiency in SQL and Python with a proven track record of automating financial processes
- Must understand modern cloud data structures well enough to perform "handholding" and meaningful collaboration with Data Engineers
- Exceptional ability to bridge the gap between technical data architecture and functional financial insights
- Strong experience partnering with Senior Leadership and the ability to translate "big picture" financial concepts into tactical execution plans for IT
- Ability to work independently or with a low-ego, highly collaborative, cross-functional team in a fast-paced, deadline-driven environment
- Experience leveraging AI tools to transform static workflows into responsive, high-output processes
While not required, these are a plus:
- Experience with Groovy scripting
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 $120,000.00 USD to $130,000.00 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' 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-AW1 #LI-Onsite
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.
Ready to apply?
Apply to Metropolis
Senior Analytics Engineer
Share this job
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
Metropolis is seeking a Senior Analytics Engineer to join our Data Engineering and Analytics team. The ideal candidate will possess a passion for creating value using data and a strong foundation in all aspects of analytics engineering. In this pivotal role, you will be instrumental in making data accessible and actionable, facilitating informed decision-making throughout the company. You will partner and lead across multiple product team functions and domains and drive impact through your data vision and architecture.
What you'll do
- Design and implement large-scale data warehouses and data marts using Snowflake, Star, or Data Vault 2.0 schemas
- Build and maintain data transformation pipelines using SQL frameworks like dbt to abstract model code
- Write complex SQL including window functions and STRUCT/ARRAY manipulations while adhering to performance best practices
- Manage and optimize DAGs, including troubleshooting task failures and improving run times
- Implement metadata management, data lineage, and security principles such as least-privilege access
- Use a test-driven approach to design systems that trap poor quality data and trigger alerts within the data flow
- Partner with engineering, data science, and business stakeholders to own project scopes
- Mentor others on data best practices to drive impact through your data vision
- Provide architectural guidance to ensure data is accessible and actionable across the company
- Drive technical excellence within the data engineering and analytics domain
What we're looking for
- 5+ years of experience in data/analytics engineering with proficiency in Python and SQL within Snowflake
- 3+ years of experience with dbt
- Owned large-scale data projects that drove significant impact through effective cross-functional partnering
- Led the design, implementation, and monitoring of data warehouses that enable clear product-focused insights
- Expert at SQL, window functions, and query optimization for complex data manipulations
- Applied performance best practices, including partitions, sort keys, and incremental modeling
- Designed systems using test-driven approaches to ensure data quality and flow integrity
- Familiarity with ELT processes and tools to prepare and clean data for analysis
- Skill in using tools like dbt to build data transformation pipelines
- Experience mentoring stakeholders in Data Science, Analytics, PM, and Engineering on data best practices
While not required, these are a plus:
- A dbt certification
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 $130,000.00 USD to $175,000.00 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
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.
Ready to apply?
Apply to Metropolis
Senior Analytics Engineer
Share this job
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
Metropolis is seeking a Senior Analytics Engineer to join our Data Engineering and Analytics team. The ideal candidate will possess a passion for creating value using data and a strong foundation in all aspects of analytics engineering. In this pivotal role, you will be instrumental in making data accessible and actionable, facilitating informed decision-making throughout the company. You will partner and lead across multiple product team functions and domains and drive impact through your data vision and architecture.
What you'll do
- Design and implement large-scale data warehouses and data marts using Snowflake, Star, or Data Vault 2.0 schemas
- Build and maintain data transformation pipelines using SQL frameworks like dbt to abstract model code
- Write complex SQL including window functions and STRUCT/ARRAY manipulations while adhering to performance best practices
- Manage and optimize DAGs, including troubleshooting task failures and improving run times
- Implement metadata management, data lineage, and security principles such as least-privilege access
- Use a test-driven approach to design systems that trap poor quality data and trigger alerts within the data flow
- Partner with engineering, data science, and business stakeholders to own project scopes
- Mentor others on data best practices to drive impact through your data vision
- Provide architectural guidance to ensure data is accessible and actionable across the company
- Drive technical excellence within the data engineering and analytics domain
What we're looking for
- 5+ years of experience in data/analytics engineering with proficiency in Python and SQL within Snowflake
- 3+ years of experience with dbt
- Owned large-scale data projects that drove significant impact through effective cross-functional partnering
- Led the design, implementation, and monitoring of data warehouses that enable clear product-focused insights
- Expert at SQL, window functions, and query optimization for complex data manipulations
- Applied performance best practices, including partitions, sort keys, and incremental modeling
- Designed systems using test-driven approaches to ensure data quality and flow integrity
- Familiarity with ELT processes and tools to prepare and clean data for analysis
- Skill in using tools like dbt to build data transformation pipelines
- Experience mentoring stakeholders in Data Science, Analytics, PM, and Engineering on data best practices
While not required, these are a plus:
- A dbt certification
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 $130,000.00 USD to $175,000.00 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
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.
Ready to apply?
Apply to Metropolis
Senior Analytics Engineer
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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
Metropolis is seeking a Senior Analytics Engineer to join our Data Engineering and Analytics team. The ideal candidate will possess a passion for creating value using data and a strong foundation in all aspects of analytics engineering. In this pivotal role, you will be instrumental in making data accessible and actionable, facilitating informed decision-making throughout the company. You will partner and lead across multiple product team functions and domains and drive impact through your data vision and architecture.
What you'll do
- Design and implement large-scale data warehouses and data marts using Snowflake, Star, or Data Vault 2.0 schemas
- Build and maintain data transformation pipelines using SQL frameworks like dbt to abstract model code
- Write complex SQL including window functions and STRUCT/ARRAY manipulations while adhering to performance best practices
- Manage and optimize DAGs, including troubleshooting task failures and improving run times
- Implement metadata management, data lineage, and security principles such as least-privilege access
- Use a test-driven approach to design systems that trap poor quality data and trigger alerts within the data flow
- Partner with engineering, data science, and business stakeholders to own project scopes
- Mentor others on data best practices to drive impact through your data vision
- Provide architectural guidance to ensure data is accessible and actionable across the company
- Drive technical excellence within the data engineering and analytics domain
What we're looking for
- 5+ years of experience in data/analytics engineering with proficiency in Python and SQL within Snowflake
- 3+ years of experience with dbt
- Owned large-scale data projects that drove significant impact through effective cross-functional partnering
- Led the design, implementation, and monitoring of data warehouses that enable clear product-focused insights
- Expert at SQL, window functions, and query optimization for complex data manipulations
- Applied performance best practices, including partitions, sort keys, and incremental modeling
- Designed systems using test-driven approaches to ensure data quality and flow integrity
- Familiarity with ELT processes and tools to prepare and clean data for analysis
- Skill in using tools like dbt to build data transformation pipelines
- Experience mentoring stakeholders in Data Science, Analytics, PM, and Engineering on data best practices
While not required, these are a plus:
- A dbt certification
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 $130,000.00 USD to $175,000.00 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
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.
Ready to apply?
Apply to Metropolis
WHO WE LOOK FOR
An SEI-er is a master communicator and active listener who understands how to navigate an audience. Self-aware, almost to a fault, SEI-ers keenly understand how to adjust their support and problem solving based on the situation. Following a logical, fact-based approach, SEI-ers possess the superior ability to see correlations others may not, ask the right questions and drive solutions.
As super-connectors, they connect not only people, but data, trends and experiences. Mature, humble, and genuine, SEI-ers frequently go above and beyond for both their clients and their colleagues. SEI-ers are ethical and trustworthy individuals who consistently and repeatedly follow through, and hold true to their values in difficult situations. SEI-ers have an insatiable curiosity and love to learn. These individuals are commonly tech savvy and early adopters. Their passion for learning is infectious and excites others. As every project is different, an SEI-er must be adaptable and comfortable with unexpected situations. SEI-ers define ambition differently. They are authentic, low-maintenance individuals who truly enjoy one another- they like to hang out with colleagues outside of work, collaborate and hold one another accountable. SEI-ers enjoy working with genuine, thoughtful folks who want to steer clear of the traditional grind and share the joy of day-to-day life and activities with colleagues, friends, and family.
WHAT WE DO
Our Data and Analytics consultants work with clients at all levels of the organization, from the C-suite to the shop floor, helping them to deliver on their most strategic initiatives. We’re known for making realistic, data-driven decisions that deliver value in tangible ways to our clients. Our clients ask for us on projects that require a superior combination of technical and business capabilities, people and management skills, and a collaborative mindset. We excel in understanding complex programs and strategic initiatives and breaking them into actionable pieces.
We are actively looking for professionals in the following areas:
- Data Strategy
- Data Governance
- Data Modernization
- Advanced Analytics
- Data Visualization
The ideal candidate’s experience may include but is not limited to the following:
- Have experience understanding and solving real business problems
- Have experience with presenting business case and strategy to the C-Suite
- Bring industry domain knowledge for custom data and analytics strategies
- Experience in designing and implementing data driven products and services
- Experience in designing and building high performance collaborative business and technology teams that deliver high value data solutions, data products and data analytics
Ideal candidates may call themselves Data Architects, Data Engineers, Data Scientists, Analysts and Data Governance professionals. Experience may include but not limited to the following:
Data Strategy and Governance
- Intimately familiar with data technologies, data architecture frameworks, cloud platforms and the emerging trends in technological advancements.
- Proven experience in transforming our clients from on-prem data platforms to the cloud.
- Lead data modernization initiatives that include platform, technology and tools implementation and adoption.
- Must have experience in architecting and implementing data architecture, data engineering, reporting and analytical solutions across multiple business functions and domains.
- Conduct data management maturity assessments and identify pain points for including data quality, governance, architecture, analytics, metadata management, master data management.
- Demonstrate a rigorous and analytical problem-solving approach, leading information-gathering sessions and preparing and delivering client presentations and work products/prototypes.
- Identify data governance gaps and assess data governance maturity in a complex data environment. Should also be able to Identify the implications for data governance that arise from the technology, current processes, and skill levels in a complex data environment.
Data Architecture and Engineering
- Extensive experience or knowledge of cloud-based data platform technologies such as AWS, Microsoft Azure or Google Cloud Computing.
- Experience designing and building data platforms that support data lakes, data stores, data ingestion and transformations and API services for consuming data
- Ability to design and build complex data pipelines that either stream data in
- Experience and knowledge of programming and scripting languages, such as but not limited to Python, Node.JS and SQL
- Experience and knowledge of data integration tools and platforms
- Experience and knowledge of relational and dimensional database structures, theories, principles, and practice used in data warehousing and analytics solutions
- Ability to design and build data models using the appropriate technics to meet business objectives
- In depth knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synaspe, Databricks or similar technologies.
Advanced Analytics and Data Visualizations
- Extensive experience or knowledge of data visualization technologies such as Tableau, Power BI, Qlik and Spotfire
- Experience with statistical and mathematical modeling, artificial intelligence and machine learning software and methods
- Experience and knowledge of programming and scripting languages such as, but not limited to, SQL, Python and R
- Experience with data modeling, data prep and machine learning tools like Alteryx, RapidMinder, RStudio and Tableau Prep
- Experience and knowledge of relational and dimensional database structures, theories, principles, and practice used in data warehousing and analytics solutions
- Experience deploying enterprise-wide reporting solutions while leveraging data visualization best practices
A career at SEI extends well beyond providing great service and thought leadership to our clients. Everyone takes an active role in building and managing our business, in an environment that runs counter to traditional consulting firms. Our consultants have a “seat at the table” and contribute to growing our business in ways that align to their interests such as growing business development opportunities, conducting interviews to support our hiring process, managing internal initiatives that build our brand or organizing trainings to share what you know with your colleagues. There is no telling what an SEI Consultant will be asked to do on a day-to-day basis – we do what it takes to get the job done.
QUALIFICATIONS
Required-
- Alignment to our core values: Excellence, Participation, Integrity and Collaboration
- Hungry, Humble, Smart
- Demonstrated business and technology acumen
- Strong written and verbal communication skills
- Understanding and experience solving real business problems
- Proven track record of delivering results
- Experience working with and/or leading a team
- Ability to work across industries, roles, functions & technologies
- Authorization for permanent employment in the United States (this position is not eligible for immigration sponsorship)
Preferred-
- Bachelor’s degree
- 8+ years professional experience
- Experience across our service offerings
Systems Evolution, Inc. (SEI) is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law
Ready to apply?
Apply to SEI