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Remote · Data Engineer

Senior Data Engineer

Crexi · Los Angeles · United States

Remote USD 158k–214k / year Posted Open until 18 Oct 2026
  • Remote Crexi is looking for a Senior Data Engineer to join our team hybrid in Los Angeles or remote in the US. — job description

The job, in the employer's words

About Crexi

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:

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. 

 

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:

  • 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. 

  • 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:

  • Solid grasp of data quality, observability, and performance optimization. 
  • Sound judgment using AI-assisted development tools. 
  • Ability to mentor and elevate other engineers. 
  • Thrives in a fast-paced, dynamic environment. 
  • Exceptional communication skills, with the ability to provide clear and concise information to stakeholders at all levels of the organization. 
  • Strong analytical skills, with the ability to interpret complex information, identify patterns, and present insights clearly and accurately. 
  • Excellent organizational and prioritization skills, with the ability to manage multiple priorities and deadlines simultaneously. 
  • Self-starter who independently owns their own success and demonstrates strong initiative. 
  • Responsive, action-oriented, and proactive in identifying and resolving issues. 
  • 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.

Requirements mentioned

  • 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.
  • 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).
  • Solid grasp of data quality, observability, and performance optimization.
  • Sound judgment using AI-assisted development tools.
  • Ability to mentor and elevate other engineers.
  • Thrives in a fast-paced, dynamic environment.
  • Exceptional communication skills, with the ability to provide clear and concise information to stakeholders at all levels of the organization.
  • Strong analytical skills, with the ability to interpret complex information, identify patterns, and present insights clearly and accurately.
  • Excellent organizational and prioritization skills, with the ability to manage multiple priorities and deadlines simultaneously.
  • Self-starter who independently owns their own success and demonstrates strong initiative.
  • Responsive, action-oriented, and proactive in identifying and resolving issues.
  • 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.

No Mondays shows this listing as the employer published it. Check the details on the employer's site before you apply.

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Remote share — Data Engineer jobs in United States

85% are remote

143 of 169 jobs we have listed

How long they stay open — Data Engineer jobs in United States

67 days median time open before the listing ended

Based on 12 ended listings

Advertised pay — Data Engineer jobs in United States

USD 172k median advertised pay / year

Middle half: USD 148k – USD 190k

From 94 listings that state pay