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# Lead Data Engineer - Experimentation

- **Company:** Eliassen Group
- **Location:** Santa Monica, CA, United States
- **Experience:** Expert
- **Salary:** $172,640 - $193,440
- **Contract:** Permanent contract
- **Skills:** A/B Testing, Artificial Intelligence, Data Analysis, Big Data, Continuous Integration, Data Architecture, Information Engineering, Extract Transform Load (ETL), Data Warehousing, Database Development, Distributed Computing Environment, Python (Programming Language), Machine Learning, Standard Sql, Data Streaming, Usage Analysis, Cloud Platform System, Feature Engineering, Apache Spark, Infrastructure Automation Frameworks, Apache Kafka, Spark Streaming, Data Pipelines, Databricks
- **Published:** October 22, 2026
- **Apply:** https://www.thejobnetwork.com/job/3eea79a7-1b93-49e1-a211-5fe4a4e370b8/lead-data-engineer-experimentation

## About the Role

Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance., * 7+ years of data engineering with large-scale data platforms.

 * Strong Python and SQL development skills.
 * Expert-level Databricks and distributed processing experience.
 * Deep knowledge of data modeling, ETL/ELT design, and data architecture.
 * Experience with batch and real-time streaming data pipelines, including Kafka and Spark Structured Streaming.
 * Background in cloud-based data platforms and data warehousing or lakehouse technologies.
 * Hands-on experience with experimentation, A/B testing, product analytics, or analytics data platforms.
 * Strong understanding of data quality, testing, governance, monitoring, and observability.
 * Proven experience leading technical initiatives and partnering with cross-functional teams.
 * Excellent communication skills for technical and non-technical audiences.
 * Nice to have: causal inference, statistical testing frameworks, ML data pipelines, feature engineering, CI/CD and infrastructure automation, media or subscription domains, and exposure to AI or agent-based solutions.

## Description

Our client seeks a hands-on Lead Data Engineer to build and scale experimentation data foundations that power product decisions across major streaming products. The role requires strong SQL, Python, Databricks, data modeling, and streaming expertise. The engineer will design and maintain batch and real-time pipelines, implement data quality and governance, and partner with cross-functional teams. The team values proactive communication, adaptability, and openness to AI tools and automation., * Design, develop, and maintain data infrastructure supporting A/B testing, feature launches, geo experiments, and product analytics.

 * Build reusable frameworks and datasets to enable rapid, reliable experiment launch and measurement.
 * Develop and operate large-scale batch and streaming pipelines using Spark, Kafka, and Databricks.
 * Design scalable data models and data products for analytics, experimentation, and machine learning use cases.
 * Implement monitoring, testing, validation, lineage, and governance frameworks to ensure trustworthy data.
 * Partner with Product, Engineering, Data Science, and Business stakeholders to deliver scalable solutions.
 * Influence architectural decisions and drive engineering best practices across teams.
 * Mentor engineers and promote a culture of quality, innovation, and experimentation.