Data Engineer, Lakehouse & Cloud Analytics

Logoslabs; San Francisco (CA); On-site; USD 120,000 - 170,000; Full time

Benefits offered by this job

Parental leave

Diversity and inclusion groups

Flexible working practices

Job summary

Sonatype is seeking a data engineer to build and optimize data pipelines and data models that power analytics and internal tools. You will work with Spark, AWS services, and a team to deliver clean datasets and reliable data products.

The role emphasizes data lakehouse architecture, CI/CD practices, and the use of AI-assisted tooling to accelerate development. Strong English communication and self-motivation are essential.

Qualifications

• Bachelor's degree or equivalent practical experience in CS/engineering or related field.
• 2–4 years of experience in data engineering or backend data roles.
• Strong backend programming in Java/Scala or similar.
• Python (PySpark/pandas) skills.
• Experience with SQL and distributed data systems (Spark, Kafka, SQS).
• Familiarity with NoSQL stores (Cassandra, HBase or similar).
• Understanding of data modeling for analytics and reporting.
• Excellent English communication and ability to explain work to non-engineers.
• Self-driven, curious, and able to learn new technologies; strong debugging skills.
• Comfort with code reviews, CI/CD, and AI-assisted tooling.

Responsibilities

• Build and maintain reliable data pipelines and ETL/ELT workflows.
• Develop and optimize data models for analytics and internal tools.
• Collaborate to deliver clean, trusted datasets.
• Support core data platform tools like Spark and AWS services (S3, SNS, SQS, ECS/Fargate, EMR).
• Monitor data pipelines for quality, performance, and reliability.
• Write clear documentation and contribute to test coverage and CI/CD processes.
• Help shape data lakehouse architecture and platform roadmap.

Skills

Backend programming

Python (PySpark)

SQL

Data modeling

Communication

Self-driven

Problem solving

Education

Bachelor's degree in CS/Engineering or related

Tools

Spark

Kafka

SQS

NoSQL stores

Databricks

dbt

Terraform

CloudFormation

Job description

Sonatype is seeking a data engineer to build and optimize data pipelines and data models that power analytics and internal tools. You will work with Spark, AWS services, and a team to deliver clean datasets and reliable data products.

The role emphasizes data lakehouse architecture, CI/CD practices, and the use of AI-assisted tooling to accelerate development. Strong English communication and self-motivation are essential.