Pay
In line with similar jobs
$158K–$214K against $127K–$190K, the middle half of what similar US postings state.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Los Angeles
Live, first seen by us 83 days agoA winning team. A collaborative culture with team activities that bring people together. The anticipated base salary range for candidates who will work in our Playa Vista, California location is $158,000 to $214,000. The final salary offered to a successful candidate will depend on several factors, which may include, but are not limited to, the type and length of experience applicable to the role and within the industry, education, geographic location, etc. Commercial Real Estate Exchange, Inc (“Crexi”) is a multi-state employer, and this salary range may not reflect positions that work in other states. Crexi is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Crexi will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.Read the full posting
Crexi is looking for a Senior Data Engineer to join our team hybrid in Los Angeles or remote in the US.
The Senior Data Engineer owns the design and delivery of robust, scalable data pipelines, models, and infrastructure that power Crexi’s data and analytics.
Design, build, and own scalable data pipelines, ETL/ELT workflows, and data models
Drive data quality, reliability, observability, and performance across systems
Partner with analytics, ML, software, and product teams on data delivery
Own data infrastructure and orchestration, and improve CI/CD for data workflows
Lead resolution of complex data issues and improve system reliability
Crexi is looking for a Senior Data Engineer to join our team hybrid in Los Angeles or remote in the US.
The Senior Data Engineer owns the design and delivery of robust, scalable data pipelines, models, and infrastructure that power Crexi’s data and analytics. The role drives data quality and reliability, mentors other engineers, and partners across teams. It exists to deliver trustworthy, performant data systems at the scale Crexi’s products require.
Designs, builds, and owns scalable data pipelines and ETL/ELT workflows and the underlying data models.
Drives data quality, reliability, observability, and performance across data systems.
Partners with analytics, ML, software, and product teams to deliver data for products and insights.
Owns data infrastructure and orchestration and improves CI/CD for data workflows.
Leads resolution of complex data issues and improves system reliability.
Bachelor’s degree in Computer Science, Data Engineering, or a related field, or equivalent experience.
Ability to mentor and elevate other engineers.
4+ years of data engineering experience, including ownership of scalable pipelines and models.
Demonstrated ability to handle sensitive and confidential information with the utmost professionalism and discretion.
Strong proficiency with SQL and a data-engineering language (e.g., Python), plus pipeline/orchestration tools.
Experience designing scalable data models and cloud data platforms (e.g., warehouse/lakehouse).
Qualifications: - Bachelor’s degree in Computer Science, Data Engineering, or a related field, or equivalent experience. - 4+ years of data engineering experience, including ownership of scalable pipelines and models.
Commercial real estate is one of the largest asset classes on earth and one of the last to go digital.
In the employer’s words · Read in context
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In line with similar jobs
$158K–$214K against $127K–$190K, the middle half of what similar US postings state.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Day 83
Up longer than most. Similar jobs usually come down between day 6 and day 54.
From 11,032 similar postings that came down. Coming down is not always a hire.
1 open job
Open jobs by the week we first saw them, last 12 weeks.
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- 4+ years of data engineering experience, including ownership of scalable pipelines and models. - Strong proficiency with SQL and a data-engineering language (e.g., Python), plus pipeline/orchestration tools. - Experience designing scalable data models and cloud data platforms (e.g., warehouse/lakehouse).
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New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Commercial real estate is one of the largest asset classes on earth and one of the last to go digital. Deals still get done over email threads, PDFs, and relationships nobody can search for. Crexi is the exchange betting that doesn't have to be true anymore: we're building the platform where an entire industry finds, evaluates, and closes deals, and we're betting hard on AI to get there faster than anyone thought this industry could move. There's no playbook for turning a trillion-dollar, relationship-driven industry into a modern marketplace which means the people building it get to write it.
About the Role:
The Senior Data Engineer owns the design and delivery of robust, scalable data pipelines, models, and infrastructure that power Crexi’s data and analytics. The role drives data quality and reliability, mentors other engineers, and partners across teams. It exists to deliver trustworthy, performant data systems at the scale Crexi’s products require.
What You'll Do:
Designs, builds, and owns scalable data pipelines and ETL/ELT workflows and the underlying data models.
Drives data quality, reliability, observability, and performance across data systems.
Partners with analytics, ML, software, and product teams to deliver data for products and insights.
Owns data infrastructure and orchestration and improves CI/CD for data workflows.
Integrates AI-assisted development tools into the team’s workflow to improve quality and velocity, and contributes to evaluating AI-powered capabilities in Crexi’s products.
Leads resolution of complex data issues and improves system reliability.
Mentors engineers and contributes to data engineering standards.
Qualifications:
4+ years of data engineering experience, including ownership of scalable pipelines and models.
Strong proficiency with SQL and a data-engineering language (e.g., Python), plus pipeline/orchestration tools.
Experience designing scalable data models and cloud data platforms (e.g., warehouse/lakehouse).
Who You Are:
Strong problem-solving and creative thinking skills, with the ability to evaluate options and implement effective solutions.
Effective collaborator and team player, with the ability to work cross-functionally and build strong working relationships.
Demonstrated ability to handle sensitive and confidential information with the utmost professionalism and discretion.
Why Crexi?
Real impact, fast. Join a rapidly scaling startup where your work moves the needle from day one.
Real ownership. Equity in Crexi's growth story.
Built for growth. A flexible team structure designed for real career discretion.
Time that is yours. Discretionary PTO - take what you need, when you need it.
Health & Future covered. Medical, dental, and vision insurance, 401(k), FSA/HSA options, and Life & AD&D insurance.
Set up right. Home-office reimbursement for remote employees.
A winning team. A collaborative culture with team activities that bring people together.
The anticipated base salary range for candidates who will work in our Playa Vista, California location is $158,000 to $214,000. The final salary offered to a successful candidate will depend on several factors, which may include, but are not limited to, the type and length of experience applicable to the role and within the industry, education, geographic location, etc. Commercial Real Estate Exchange, Inc (“Crexi”) is a multi-state employer, and this salary range may not reflect positions that work in other states.
Crexi is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Crexi will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
A winning team. A collaborative culture with team activities that bring people together. The anticipated base salary range for candidates who will work in our Playa Vista, California location is $158,000 to $214,000. The final salary offered to a successful candidate will depend on several factors, which may include, but are not limited to, the type and length of experience applicable to the role and within the industry, education, geographic location, etc. Commercial Real Estate Exchange, Inc (“Crexi”) is a multi-state employer, and this salary range may not reflect positions that work in other states. Crexi is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Crexi will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
Los Angeles
About the Role: Crexi is looking for a Senior Data Engineer to join our team hybrid in Los Angeles or remote in the US. The Senior Data Engineer owns the design and delivery of robust, scalable data pipelines, models, and infrastructure that power Crexi’s data and analytics. The role drives data quality and reliability, mentors other engineers, and partners across teams. It exists to deliver trustworthy, performant data systems at the scale Crexi’s products require.
- Health & Future covered. Medical, dental, and vision insurance, 401(k), FSA/HSA options, and Life & AD&D insurance. - Set up right. Home-office reimbursement for remote employees. - A winning team. A collaborative culture with team activities that bring people together.
No clear work-authorization passage found. Eligibility is unconfirmed.