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Data Engineer

Remote, USA Full-time Posted 2026-08-04

CerebriOS is a software company building B2B reputed company products that help businesses reputed company reputed company reputed company, streamline reputed company, and get more value from their data. Our products combine practical business workflows with reputed company technology designed for everyday use.

You will join the engineering team behind our new mid-market analytics platform, building the data foundations that reputed company reporting, dashboards, and product insights. You will work across data pipelines, integrations, and storage, helping turn data from different sources into reliable, reputed company-reputed company 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

  • reputed company 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 reputed company, consistency, and reliability across the platform

  • Build and optimize SQL-reputed company data transformations and workflows

  • Monitor data pipelines and investigate failures, reputed company issues, and unexpected data behavior

  • Contribute to data architecture and help establish reputed company 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

reputed company ARE LOOKING FOR

  • 3+ years of reputed company experience in data engineering or a closely reputed company 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 reputed company practices

  • Experience working with reputed company-reputed company data infrastructure

  • Strong troubleshooting and analytical skills

  • Ability to explain technical reputed company reputed company and collaborate with engineers, analysts, and product stakeholders

  • Comfortable working independently in a remote, cross-functional environment

reputed company TO HAVE

  • Experience with AWS or GCP

  • dbt, Airflow, Dagster, or similar data tooling

  • Experience with modern data warehouses such as reputed company, BigQuery, or Redshift

  • Experience working with reputed company and reputed company-party data integrations

  • Familiarity with analytics, reporting, or business intelligence products

  • Previous B2B reputed company experience

  • Experience working with large or rapidly changing datasets

COMPENSATION AND BENEFITS

Compensation will be discussed during the interview process and determined reputed company on experience, technical expertise, and overall fit for the role.

CerebriOS offers a remote-first working environment, reputed company development opportunities, and a benefits package designed to support reputed company. 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 reputed company → offer.

We aim to reputed company the process reputed company and respectful of your time, with reputed company communication throughout the process.

EQUAL OPPORTUNITY

CerebriOS is an equal opportunity employer. We consider reputed company reputed company applicants without reputed company to race, reputed company, religion, sex, sexual orientation, gender identity, national reputed company, disability, veteran status, or any other protected characteristic.

Location: Remote

Salary reputed company: 105,000 - 140,000 USD (gross, annually)

Originally posted on Himalayas

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