Etleap Expands Apache Iceberg Integration and Recruits Infrastructure Engineers

Etleap builds an AWS-native extract, transform, and load (ETL) platform designed to automate data pipelines for analytics, lakehouses, and cloud data warehouses. Founded in 2013 out of Y Combinator batch W13 by Stanford University graduate Christian Romming and Alexi Robichaux, the San Francisco-based company focuses on removing the manual engineering overhead required to build and maintain data pipelines.

The platform centralizes ingestion from databases, event streams, SaaS applications like Salesforce and Workday, and Amazon S3 files into target warehouses such as Amazon Redshift, Snowflake, and Apache Iceberg table formats. Rather than requiring custom extraction scripts, Etleap automates change data capture (CDC) using AWS Database Migration Service (AWS DMS), as detailed in technical documentation from Amazon Web Services (AWS). Etleap also orchestrates SQL-based post-load transformations through dbt Core models and synchronizes batch loads to reduce compute costs on Amazon Redshift Serverless, according to additional technical guides published by Amazon Web Services (AWS).

Private Cloud Architecture and Iceberg Pipeline Platform

To meet data governance mandates in regulated sectors like healthcare and financial services, Etleap supports deployment inside a customer's Virtual Private Cloud (VPC). In a presentation published on the company's YouTube channel, Moderna head of data engineering Carlos explained that running Etleap inside isolated VPC environments allowed the biopharmaceutical company to maintain GXP compliance and ingest data from nearly 100 internal sources without letting data leave its cloud boundary.

Etleap has expanded its platform capabilities around open table formats. Speaking in an interview with TFiR, founder and CEO Christian Romming noted that the company launched its iceberg pipeline platform to unify ingestion, dbt modeling, and table operations within customer VPCs. Romming stated that integrating orchestration and data quality checks at ingestion time prevents bad data from reaching downstream analytics, enabling streaming ingestion for real-time and AI workflows.

The company's commercial footprint continues to scale alongside its technical product. Revenue reporting from GetLatka indicates Etleap generated $7 million in revenue in 2024, supported by seed funding from investors including First Round Capital, SV Angel, and Y Combinator.

Engineering and Commercial Roles Open in San Francisco and Latin America

To support its platform expansion, Etleap is recruiting across software engineering, cloud infrastructure, and go-to-market functions in North and South America.

At its San Francisco headquarters, the company is hiring a Senior Software Engineer - San Francisco (Onsite) ($130,000–$220,000) to join the core team to design and develop the next generation of ETL/ELT infrastructure and solve performance challenges in distributed systems. On the commercial team, Etleap is filling an Account Executive ($220,000–$260,000) position in San Francisco to develop sales strategies, generate pipelines, and conduct product demonstrations, working onsite at least three days a week.

Etleap is also building out its international technical team through remote roles across Latin America. The company is seeking a DevOps Engineer Latin America (remote) ($40,000–$70,000) requiring 3+ years of Terraform experience to manage and evolve the complex, autoscaling, fault-tolerant AWS infrastructure powering the platform. Additionally, a Software Engineer - Integrations South America (remote) ($35,000–$60,000) will join the core engineering team to build fast, scalable integrations for Etleap's ETL software.

See all open roles at Etleap