Senior Software Engineer - Data Engineering
- Santa Monica, CA
- Permanent
- Full-time
Location: Santa Monica
Duration: 16 Months
Compensation: $90.00-$102.00/hour
Work Requirements: US Citizen, GC Holders or Authorized to Work in the U.S.Skillset / Experience:
Ad Platforms is responsible for industry-leading ad technology and products – driving advertising performance, innovation, and value in sports, news, and entertainment content, across all media platforms.● Design, build, and maintain scalable data platform components for both real-time and batch processing. Own the full software development lifecycle — from requirements gathering and design to implementation, testing, and deployment.
40%
● Drive engineering best practices including code quality, performance optimization, automated testing, CI/CD, and system reliability.
10%
● Define and evaluate technical architecture, contribute to system-level design discussions, and lead decision-making on key engineering trade-offs.
10%
● Collaborate cross-functionally with product managers, program managers, SDETs, and data scientists to deliver impactful solutions aligned with business goals.
10%
● Lead by example to foster an inclusive, high-performing engineering culture; provide technical guidance and mentorship to junior and mid-level engineers.
10%
● Troubleshoot and resolve complex production issues, ensuring system performance, availability, and reliability.
10%
● Continuously evaluate emerging technologies and contribute to innovation efforts across the organization.
10%● 5+ years of professional programming in Scala, Python, and etc.
● 3+ years of big data development experience with technical stacks like Spark, Flink, Airflow, Singlestore, Kafka and AWS big data technologies
● Deep understanding of data modeling, distributed systems, and performance optimization
● Knowledge of system, application design and architecture
● Experience of building industry level high available and scalable service
● Passion about technologies, and openness to interdisciplinary work
● Excellent communication and collaboration skillsPreferred Qualifications:
Preferred Qualifications
● Hands-on experience with Databricks for development and deployment of data pipelines.
● Experience with data governance, compliance, or observability tooling.
● Demonstrated ability with cloud infrastructure technologies, including Terraform, K8S, Spinnaker, IAM, ALB, and etc.
● Experience with Snowflake, Kinesis, lambda etc.
● Experience in MicroService framework like Spring Boot, Spring Cloud, FastAPI, NestJS etc.Required Education:
Bachelor's DegreeOur benefits package includes:
- Comprehensive medical benefits
- Competitive pay, 401(k)
- Retirement plan
- …and much more!