The Role
Build, test, and maintain batch and event-driven data pipelines and ETL/ELT workflows. Transform and validate large datasets, troubleshoot data-quality issues, improve workflow reliability, and support platform modernization. Collaborate with engineering, product, and data stakeholders while following strong practices for version control, testing, monitoring, documentation, and code review. The role may occasionally require work outside standard business hours.
Summary Generated by Built In
At LightBox, we strive to not only equip confident, data-driven decisions across sectors, but to also enrich lives by bringing people, information, and technology together. As a company with a wide range of clients, we believe a diverse workforce is crucial to success. Our commitment to inclusion across race, gender, age, religion, identity, and experience is the foundation upon which we operate and connect with our customers and the communities in which we work.
With our expertise, we are producing the best available data, workflow tools, technology, and analytics to support everyone making a real estate decision. There has never been a better time to make an impact and we invite you to join us on this journey.
LightBox is a leading provider of data and workflow solutions across commercial real estate and location intelligence. Our solutions deliver the depth, speed and accuracy that enable insights to over 50,000 brokers, 1,000 banks and lenders, 1,000 law firms and 5,000 environmental consulting and engineering firms.
With our expertise, we are producing the best available data, workflow tools, technology, and analytics to support everyone making a real estate decision. There has never been a better time to make an impact and we invite you to join us on this journey.
LightBox is a leading provider of data and workflow solutions across commercial real estate and location intelligence. Our solutions deliver the depth, speed and accuracy that enable insights to over 50,000 brokers, 1,000 banks and lenders, 1,000 law firms and 5,000 environmental consulting and engineering firms.
Data Engineer
Data Integration Team | LightBox
Department
Data Integration
Reports to
Manager, Data Engineering
Position OverviewLightBox is seeking a Data Engineer to join the Data Integration team. This role designs, builds, and maintains reliable data pipelines, data-intensive applications, and AI-enabled automation that support LightBox products. The successful candidate will work with large, diverse datasets and partner with engineering, product, and data stakeholders to deliver trusted, scalable data solutions.
This is a hands-on role for a mid-career engineer who enjoys solving practical data problems and taking ownership of well-defined work with support from the team.What You Will Do· Build, test, and maintain batch and event-driven data pipelines and ETL/ELT workflows.· Transform, validate, and organize data for product features and downstream consumers.· Investigate pipeline and data-quality issues, troubleshoot root causes, and implement fixes.· Improve existing workflows for reliability, efficiency, and maintainability; support platform modernization.· Work with engineering, product, and data stakeholders to understand requirements and deliver solutions.· Follow team practices for version control, code review, testing, monitoring, and documentation.What You BringRequired qualifications:
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
- 2+ years of relevant industry experience including building and maintaining production ETLs.
- High proficiency in at least one SQL dialect, Python, and at least one scalable data processing framework (Spark, DuckDB, Polars, etc.)
- Experience designing, building, and operating batch and/or event-driven data pipelines.
- Experience with a workflow orchestration platform (Prefect, Airflow, Dagster, etc.), and familiarity with distributed data processing.
- Experience with cloud data and infrastructure services in AWS and/or GCP.
- Familiarity with modern data storage formats and technologies, including Apache Parquet and Delta Lake.
- Working knowledge of GitHub workflows, including pull requests, code review, branching, and CI/CD automation with GitHub Actions.
- Clear communication, curiosity, and a collaborative approach to problem-solving.
Bonus qualifications:
- Experience using Codex or other LLM-assisted development tools to generate and refine code from specifications, with strong code-review and testing practices.
- Experience processing large scale geospatial or location-based data.
- Experience with data modeling and designing data solutions for multiple product or business use cases.
- Experience supporting production data workflows with monitoring, alerting, and incident-response practices.
This job description summarizes the primary responsibilities and qualifications for the role. Responsibilities may change as business needs evolve. The role may occasionally require work outside standard business hours to meet deadlines or support customers and production operations.
LightBox is an equal opportunity employer. We are committed to providing equal employment opportunities to all employees and applicants without regard to protected characteristics under applicable law.
We thank all applicants in advance for their interest in this position, however, only those selected for an interview will be contacted.
This job description is a general listing of the required tasks and expectations of the position and in no way implies that the duties listed above are the employee’s only responsibilities. The employee is expected to perform other tasks, responsibilities and training as instructed by their supervisors. Duties and responsibilities may change at any time with or without notice.
This position may require additional hours outside of the standard work schedule including occasional holiday, evening and/or weekend hours in order to meet deadlines or to accommodate customers.
LightBox and all its holding companies are an equal opportunity/affirmative action employer. It is the policy of the LightBox and its holding companies to prohibit discrimination of any type and to afford equal employment opportunities to employees and applicants, without regard to race, color, religion, sex, national origin, age, disability, or veteran status.
LightBox is committed to providing an accessible recruitment process. Accommodations are available upon request for candidates taking part in all aspects of the selection process. If you require an accommodation, please let us know and we will work with you to meet your needs.
NO TELEPHONE CALLS OR AGENCY SOLICITATION PLEASE.
Skills Required
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
- 2+ years of relevant industry experience, including building and maintaining production ETLs.
- High proficiency in at least one SQL dialect, Python, and at least one scalable data processing framework such as Spark, DuckDB, or Polars.
- Experience designing, building, and operating batch and/or event-driven data pipelines.
- Experience with a workflow orchestration platform such as Prefect, Airflow, or Dagster, and familiarity with distributed data processing.
- Experience with cloud data and infrastructure services in AWS and/or GCP.
- Familiarity with modern data storage formats and technologies, including Apache Parquet and Delta Lake.
- Working knowledge of GitHub workflows, including pull requests, code review, branching, and CI/CD automation with GitHub Actions.
- Clear communication, curiosity, and a collaborative approach to problem-solving.
- Experience using Codex or other LLM-assisted development tools to generate and refine code from specifications, with strong code-review and testing practices.
- Experience processing large-scale geospatial or location-based data.
- Experience with data modeling and designing data solutions for multiple product or business use cases.
- Experience supporting production data workflows with monitoring, alerting, and incident-response practices.
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The Company
What We Do
LightBox is a commercial real estate data and technology platform that connects property information, professionals, and workflows. It combines property, parcel, location, ownership, transaction, and environmental data with tools for researching, valuing, financing, assessing, marketing, and transacting real estate. Its products support brokers, developers, investors, lenders, insurers, government agencies, and environmental and valuation professionals, helping them make informed decisions with authoritative data, integrated workflows, and location intelligence.
