Fractal River
Data Engineer (Remote - Latin America)
United States
Sponsorship not specifiedDetected 261 days ago
PythonExpressCode ReviewSQLBigQuerySnowflakeRedshiftAWSGCPAzureCloud PlatformsDockerTerraformCircleCIDevOpsdbtData EngineeringData VisualizationAgentic AIOKRsHubSpotSalesforceGoogle AnalyticsZendesk
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25Risky
Cap-exempt (no lottery)0
Sponsors this role35
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
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About the role
- Our work spans cloud infrastructure across Amazon, Google, and Microsoft platforms, integrating systems throughout the customer journey including HubSpot, Salesforce, and Zendesk.
- Contribute to our evolving DevOps and DataOps practices, helping shape how we work as we continuously improve.
Responsibilities
- Help design and implement data pipelines and analytic infrastructures with the latest technologies.
- Create and deploy AI tools and agentic infrastructure to enhance both client and internal capabilities.
- Build data warehouses using tools like dbt, working with platforms such as Snowflake, Redshift, and BigQuery.
- Build data pipelines and integrations to connect systems, automate processes, and ensure data flows seamlessly across platforms.
- Help create data models, establish data governance frameworks, define metrics, and ensure data quality across reporting layers.
- Drive internal improvement initiatives by identifying opportunities for efficiency gains, discovering new best practices, and proposing internal projects that enhance our capabilities and processes.
- Process-minded: Capable of developing and improving best practices in data, DevOps, and AI-assisted workflows.
Requirements
- C1 (Advanced) means you can:
- Nice-to-have's (not required):
- Comfortable with Python and SQL fundamentals, but more importantly, you know when and how to leverage AI tools to accelerate your work while maintaining quality and understanding.
Skills
- Beyond infrastructure, we help companies establish strong data foundations:
- This ensures our clients not only have visibility into their data but can trust the numbers across all reporting layers.
- We incorporate and leverage AI at all levels of our company:
- Proactive and a self-starter:
Benefits
- Yearly performance bonus based on personal performance.
- Yearly success bonus based on company performance.
- Home office setup including fast internet, large monitor, and your favorite keyboard and mouse.
- Monthly wellness budget to cover items such as sodas, tea, snacks, pet care, yoga, or other wellness-related items.
- Company card for wellness budget and company expenses.
- Three floating holidays and unlimited (but reasonable) PTO starting the first year.
- Who we are looking for: Our ideal candidate is someone with 1-5 years of working experience in fast-paced environments, a high tolerance for ambiguity, and a passion for constant learning.
- We value learning agility and the ability to understand what you're building over being an expert in every tool.
- If you understand the fundamentals and know how to leverage AI to accelerate your learning and implementation, you'll thrive here.
Company info
- helping clients create AI-centric products, creating and deploying AI agents along their customer journey, implementing AI-based support systems for internal users, and maximizing the use of AI for development processes.
- We are seeking a Software and Data Engineer to join our team.
- Create beautiful dashboards and reports, and work with customers to create self-service data exploration capabilities.
- Leverage APIs from multiple systems to extract and update data, trigger and monitor processes, and in general help tie our customers' infrastructures into cohesive platforms that power their growth.
- Maintain and oversee cloud infrastructure to ensure it runs with the reliability and performance our customers expect.
- Develop technical documentation and best practices for our customers.
- Coordinate projects, activities, and tasks to ensure objectives and key results are met.
Equal opportunity
- equal opportunity employer.
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This listing is sourced directly from Fractal River's careers page and normalized into a canonical job model.