Senior Software Engineer/ Data Engineer

Position Summary

The Senior Software Engineer addresses advanced eDiscovery challenges through innovative software solutions. This role is pivotal in designing and developing software products using a blend of Microsoft and open-source technologies. The focus is on creating cutting-edge software solutions to lead the industry, enhance productivity, and minimize errors in manual processes and workflows.

Responsibilities

• Own and lead engineering projects in the area of data engineering including data crawling, ingestion, and ETL pipeline.
• Use AI-assisted development as a primary building tool: prompt effectively, iterate rapidly, and apply sound judgment to evaluate, refactor, and own everything that ships.
• Collaborate with other sub-teams, such as Data Processing, Architecture, and Scaling, to ensure smooth data flow and system operability.
• Design, implement and maintain data pipelines, schemas, and integrations where needed to support scalable product delivery.
• Advocate for and ensure the use of software development tools to enhance engineering productivity.
• Design, build, and operate reliable, performant systems; identify and resolve bottlenecks before they become incidents, and continuously improve automation and internal tooling to reduce manual toil.
• Resolve complex issues; contribute to incident response, postmortems, and the ongoing development of reliability and scalability best practices.
• Coach and mentor team members in advanced technologies, processes, design patterns, and business practices.
• Handle additional duties as assigned.

KNOWLEDGE, SKILLS, AND behaviors

• Ability to work cross groups to negotiate and resolve conflicts
• Estimating software development timelines
• Managing risks and changing requirements
• Strong written and verbal communication skills
• Coaching and mentoring teams on leading technologies, processes and design patterns

Qualifications

• 6+ years of industry experience in software development.
• Strong expertise in large stateful distributed systems and data processing is a plus.
• Experience with cloud platforms (Azure / AWS) and modern deployment practices (CI/CD, containers, IaC) is a plus.
• Data Engineering experience: building and maintaining ETL/ELT pipelines, working with tools like Spark, Airflow, or similar; familiarity with data warehousing concepts and data modeling is a plus.
• Willingness and enthusiasm for trying new approaches and technologies.
• Ability to handle multiple tasks and adapt to changing priorities.
• Prior experience in the eDiscovery industry is a plus.

Why Lighthouse

✔️ Hybrid work flexibility

✔️ Strong culture of innovation and collaboration

✔️ Opportunities to work with cutting-edge tools and brilliant minds

✔️ A mission-driven company with global reach and heart