Remote Data Platform Engineer – Flexible Hours & PTO

Verse; San Francisco (CA); On-site; USD 180,000 - 250,000; Full time

Benefits offered by this job

Equity grant

Medical, dental, vision

Flexible hours

Unlimited PTO

Diverse and inclusive environment

Job summary

Verse is building the energy intelligence platform for the AI economy. You will be part of the technical staff designing, building, and maintaining data platform tools, pipelines, and orchestration frameworks to support multiple teams and products across Verse.

This role focuses on data engineering within Core Engineering to scale our data platform as the company grows. You will collaborate with Data Science and other data-heavy teams to enable analytical and AI/ML workflows while upholding high

Qualifications

• Advanced software development skills in Python, Rust, Java, Scala, or similar data-oriented language ecosystems.
• Deep understanding of databases, data lake/warehouse architectures, and data pipeline solutions across heterogeneous data and workloads in cloud-native environments.
• Proficiency in carefully handling large, complex data and processing them (streaming and batch) in both transactional and analytical settings.
• Commitment to delivering high quality software on time or ahead of schedule while adhering to best software development practices.
• Continuous obsession for staying informed on contemporary technologies, tools, libraries, services, frameworks, or breakthroughs that could benefit the team.
• Discipline using generative AI tools in day-to-day work.

Responsibilities

• Ensure data quality, contracts and integrity with best practices around access, governance, and federation throughout the data lifecycle.
• Implement, maintain, and promote best practices and hygiene in our dataland code repository for others to follow and emulate.
• Write shared libraries and reusable data tools across a variety of data flows, sources, and sinks.
• Partnering closely with our Data Science and data-heavy internal teams to support various analytical and AI/ML workflows.
• Foster a culture and mindset of well-designed systems, test-driven software, and proactive communication with a high degree of transparency, mutual respect, and consideration for teammates.
• Participate in code reviews, maintain technical documentation, and adhere to best software development practices.

Skills

Python

Rust

Java

Scala

Data pipelines

Education

Bachelor’s or master's degree in Computer Science, Data Science, or a related field

Tools

Hadoop

Spark

Airflow

DBT

Dagster

Temporal

Presto/Trino

Iceberg

Postgres

BigQuery

BigTable

S3

GCS

Job description

Verse is building the energy intelligence platform for the AI economy. You will be part of the technical staff designing, building, and maintaining data platform tools, pipelines, and orchestration frameworks to support multiple teams and products across Verse.

This role focuses on data engineering within Core Engineering to scale our data platform as the company grows. You will collaborate with Data Science and other data-heavy teams to enable analytical and AI/ML workflows while upholding high