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Senior Analytics Engineer Jobs in Tennessee (NOW HIRING)

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 ...

Senior Analytics Engineer

Nashville, TN · On-site

$130K - $175K/yr

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 ...

Senior Analytics Engineer

Nashville, TN · On-site

$130K - $175K/yr

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 ...

Sr Sustaining Engineer

Memphis, TN · Hybrid

$88K - $109K/yr

The Senior Sustaining Engineer supports electromechanical medical devices by resolving field ... Apply structured root cause analysis, engineering characterization, DOE, statistical analysis ...

Sr Sustaining Engineer

Memphis, TN · On-site

$88K - $109K/yr

The Senior Sustaining Engineer supports electromechanical medical devices by resolving field ... Apply structured root cause analysis, engineering characterization, DOE, statistical analysis ...

Sr Sustaining Engineer

Memphis, TN · Hybrid

$88K - $109K/yr

The Senior Sustaining Engineer supports electromechanical medical devices by resolving field ... Apply structured root cause analysis, engineering characterization, DOE, statistical analysis ...

... Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on ... You will work on developing predictive models, conducting statistical analysis, and creating data ...

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Showing results 1-20

Senior Analytics Engineer information

See Tennessee salary details

$54K

$114.9K

$166.5K

How much do senior analytics engineer jobs pay per year?

As of Jul 26, 2026, the average yearly pay for senior analytics engineer in Tennessee is $114,865.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,800.00 and $130,200.00 per year, depending on experience, location, and employer.

What engineers make $300,000 a year?

Senior Analytics Engineers can earn $300,000 or more annually, especially with extensive experience, advanced skills in data modeling, SQL, and tools like Python or Spark, and working in high-demand industries or companies. Compensation varies based on location, company size, and individual expertise, often including bonuses and stock options.

What is a Senior Analytics Engineer?

A Senior Analytics Engineer is a data professional who bridges the gap between data engineering and data analysis. They design, build, and maintain data pipelines, data models, and analytics infrastructure to ensure that data is reliable, accessible, and well-structured for analysis. Typically, they work with tools like SQL, dbt, and cloud data warehouses, collaborating closely with data analysts and business stakeholders to deliver actionable insights. Their role often involves optimizing data workflows, implementing best practices, and mentoring junior team members.

What does a senior analytics engineer do?

A senior analytics engineer designs, develops, and maintains data pipelines and analytics solutions to support business decision-making. They work with large datasets, use tools like SQL, Python, or cloud platforms, and often collaborate with data scientists and business teams to ensure data accuracy and accessibility.

How much do senior analytics engineers make?

Senior analytics engineers typically earn between $100,000 and $150,000 annually, depending on experience, location, and industry. They often have expertise in data modeling, SQL, and analytics tools like Tableau or Looker, which can influence salary levels.

What is the difference between Senior Analytics Engineer vs Data Engineer?

AspectSenior Analytics EngineerData Engineer
Required CredentialsBachelor's/Master's in CS, Analytics, or related; SQL, Python, data visualization skillsBachelor's/Master's in CS, Data Engineering, or related; SQL, Python, ETL tools skills
Work EnvironmentFocus on data analysis, reporting, and insights; collaborates with data teams and business unitsFocus on data pipeline development, infrastructure, and storage; works closely with data infrastructure teams
Employer & Industry UsageUsed across tech, finance, healthcare, and retail for analytics rolesCommon in tech, finance, and data-driven industries for building data systems

While both roles require strong SQL and Python skills, Senior Analytics Engineers primarily focus on analyzing data, creating reports, and deriving insights for business decisions. Data Engineers build and maintain the data infrastructure, pipelines, and storage systems. The roles often collaborate but serve different functions within data teams.

What are the key skills and qualifications needed to thrive as a Senior Analytics Engineer, and why are they important?

To thrive as a Senior Analytics Engineer, you need strong expertise in data modeling, SQL, data warehousing, and analytics, typically backed by a degree in computer science, mathematics, or a related field. Proficiency with tools such as dbt, Python, cloud data platforms (like Snowflake or BigQuery), and experience with BI tools are commonly required, along with certifications in analytics or cloud technologies being a plus. Excellent problem-solving, communication, and stakeholder management skills help you translate business requirements into robust data solutions. These skills ensure data integrity, drive actionable insights, and support effective decision-making across the organization.

What engineer makes $500,000 a year?

Senior Analytics Engineers can earn $500,000 or more annually, especially with extensive experience, advanced skills in data modeling, SQL, and cloud platforms, and roles in high-paying industries or companies. Such compensation often includes base salary, bonuses, and stock options, typically in senior or executive-level positions.

How does a Senior Analytics Engineer typically collaborate with data scientists and business stakeholders?

Senior Analytics Engineers play a vital role in bridging the gap between raw data and actionable insights. They work closely with data scientists to ensure that data pipelines and models are robust, scalable, and well-documented. Additionally, they frequently meet with business stakeholders to understand reporting needs and translate them into technical requirements, ensuring that analytics solutions align with organizational goals. This collaborative approach helps maintain data quality and accelerates the delivery of meaningful analyses across teams.
What are the most commonly searched types of Analytics Engineer jobs in Tennessee? The most popular types of Analytics Engineer jobs in Tennessee are:
What cities in Tennessee are hiring for Senior Analytics Engineer jobs? Cities in Tennessee with the most Senior Analytics Engineer job openings:
Infographic showing various Senior Analytics Engineer job openings in Tennessee as of July 2026, with employment types broken down into 90% Full Time, 7% Part Time, and 3% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $114,865 per year, or $55.2 per hour.
Senior Analytics Engineer

Senior Analytics Engineer

Metropolis

Nashville, TN

$130K - $175K/yr

Other

Medical, Life, Retirement

Posted 14 days ago


Job description

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
  • Experience leveraging AI tools to transform static workflows into responsive, high-output processes
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