Senior Data Engineer

Commercial Real Estate Exchange, Inc.
Los Angeles, CA, United States
19 days ago
Apply on www.careerbuilder.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
4 years minimum
Compensation
$158,000 - $214,000
Working hours
Regular working hours

Tech stack

Adaptable Database Systems Artificial Intelligence Data Analysis Continuous Integration Information Engineering Data Infrastructure Extract Transform Load (ETL) Data Systems Python (Programming Language) Performance Tuning Cloud Services SQL Databases
+6 more
Workflow Management Systems Reliability of Systems Information Technology Data Analytics Data Management Data Pipelines

Job description

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.

Requirements

Artificial Intelligence (AI), Bidding, Commercial Real Estate, Sales Qualification, Target Marketing, Community Support, Mentoring, Data Quality, Data Management, Data Analysis, * 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.

Benefits & conditions

  • Flexible team structure with the ability to progress in career
  • Health, Dental, and Vision insurance
  • Collaborative culture and numerous team activities

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 (β€œCrexi”) 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.

About the company

About Crexi

Crexi is reimagining commercial real estate with an AI-powered platform built to deliver smarter, more efficient solutions at every stage of the deal lifecycle. From real-time data and market insights generated by Crexi Intelligence, to targeted property marketing and seamless deal management through Crexi PRO, and a transparent, time-bound bidding experience with Crexi Auction- Crexi enables users to evaluate opportunities, maximize exposure, and close with speed and confidence. To date, Crexi has facilitated over $1 trillion in transactions, 8.6 billion square feet leased, and supports a growing community of more than 2 million monthly active users.

Crexi’s mission is to catalyze the next generation of commercial real estate through three core pillars: Access, Innovation, and Connection. Crexi’s platform democratizes CRE by providing unprecedented access to market insights and opportunities, accelerates CRE dealmaking with purpose-built technology that enhances speed and transparency; and empowers CRE professionals with a centralized platform designed for real-time collaboration and success.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.careerbuilder.com
Prepare application

Good distractions

Loading talks and stories from around this role…