Software Engineer, Data
Role details
Job location
Tech stack
Job description
We are seeking a highly skilled Staff Software Engineer specializing in Data Platform architecture to join our dynamic team. In this role, you will take ownership of designing, building, and maintaining large-scale, resilient ETL pipelines that connect our transactional systems with analytical and streaming infrastructure. Your expertise will be crucial in bridging Datomic with cloud-based data warehouses like BigQuery, as well as streaming platforms such as Kafka and Flink. The ideal candidate will have extensive experience in developing high-volume data pipelines, a deep understanding of functional programming, and a passion for architecting elegant solutions to complex data challenges. This position offers the flexibility of remote work within select states and provides an opportunity to influence Ladder's data strategy at a foundational level, supporting our rapid growth and innovative initiatives., * Design, develop, and deploy scalable, reliable data pipelines that integrate Datomic, Kafka, and BigQuery
- Build fault-tolerant ETL systems to ingest, cleanse, and normalize unstructured data from multiple third-party APIs and legacy systems
- Optimize streaming architecture to support real-time machine learning models and analytics
- Establish and uphold engineering standards for backend architecture, ensuring high-quality, maintainable codebases
- Mentor and guide engineering team members, fostering a culture of technical excellence and continuous improvement
- Partner with Data Science, Product, and Business teams to understand data needs and translate them into scalable infrastructure solutions
- Implement best practices for data modeling, validation, and quality assurance using tools like DBT
- Stay current with emerging technologies and industry trends to continuously enhance our data platform capabilities
Requirements
- 8+ years of professional experience in software or data engineering, with a strong focus on data pipelines and architecture
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field
- Deep expertise in Clojure and JVM-based backend system development
- At least 4+ years designing and managing high-volume ETL/ELT pipelines at scale
- Proficiency with cloud data warehouses, particularly BigQuery
- Hands-on experience with streaming platforms such as Kafka, Apache Beam, Flink, or Spark
- Strong understanding of data modeling, including raw, cleansed, and curated layers using tools like DBT
- Solid knowledge of functional programming principles and immutable data structures
- Experience in designing event-driven, fault-tolerant distributed systems
- Excellent leadership and mentorship skills, with a proven ability to guide engineering teams and set technical standards
- Strong collaboration skills to work effectively with Data Science, Product, and Business teams
Benefits & conditions
- Comprehensive medical, dental, and vision coverage for employees and their families
- Flexible paid time off, including a company-wide winter holiday closure
- Competitive stock option packages to participate in the company's success
- 401(k) retirement plan with up to 4% company match
- Monthly wellness stipend through Ladder Fit Program
- Pre-tax commuter benefits and free parking for office-based employees
- Modern, well-equipped office located in downtown Palo Alto, supporting hybrid work
- Paid parental leave for birthing, adoption, or fostering parents
- Remote work support including a one-time home office stipend and monthly WFH expense allowance
- Regular company-wide events, both virtual and in-person, to promote team bonding and fun
Equal Opportunity
