About the role
CerebriOS is a software company building B2B SaaS products that help businesses make better decisions, streamline operations, and get more value from their data. Our products combine practical business workflows with intuitive technology designed for everyday use.
You will join the engineering team behind our new mid-market analytics platform, building the data foundations that power reporting, dashboards, and product insights. You will work across data pipelines, integrations, and storage, helping turn data from different sources into reliable, well-structured information that customers and internal teams can use with confidence.
WHAT YOU WILL DO
Design, build, and maintain reliable data pipelines for the analytics platform
Develop data ingestion and transformation processes for multiple data sources
Work with backend engineers and analysts to define data structures that support reporting and analytics use cases
Improve data quality, consistency, and reliability across the platform
Build and optimize SQL-based data transformations and workflows
Monitor data pipelines and investigate failures, performance issues, and unexpected data behavior
Contribute to data architecture and help establish scalable practices as the platform grows
Document data models, pipelines, and important business logic so others can work confidently with the data
Collaborate with product and engineering teams to understand how data should support new product capabilities
WHAT WE ARE LOOKING FOR
3+ years of professional experience in data engineering or a closely related role
Strong SQL skills and experience working with relational databases
Hands-on experience building and maintaining data pipelines
Experience with Python or another language commonly used for data engineering
Understanding of data modeling, ETL/ELT processes, and data quality practices
Experience working with cloud-based data infrastructure
Strong troubleshooting and analytical skills
Ability to explain technical decisions clearly and collaborate with engineers, analysts, and product stakeholders
Comfortable working independently in a remote, cross-functional environment
NICE TO HAVE
Experience with AWS or GCP
dbt, Airflow, Dagster, or similar data tooling
Experience with modern data warehouses such as Snowflake, BigQuery, or Redshift
Experience working with APIs and third-party data integrations
Familiarity with analytics, reporting, or business intelligence products
Previous B2B SaaS experience
Experience working with large or rapidly changing datasets
COMPENSATION AND BENEFITS
Compensation will be discussed during the interview process and determined based on experience, technical expertise, and overall fit for the role.
CerebriOS offers a remote-first working environment, professional development opportunities, and a benefits package designed to support our team. Full details of compensation, benefits, and other employment terms will be discussed during the interview process.
HIRING PROCESS
Application review → introductory conversation → technical discussion → conversation with the team → offer.
We aim to keep the process focused and respectful of your time, with clear communication throughout the process.
EQUAL OPPORTUNITY
CerebriOS is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic.
Location: Remote
Salary Range: 105,000 - 140,000 USD (gross, annually)
Originally posted on Himalayas