Correlation One Logo

Correlation One

Senior Data Engineer

Posted 13 Days Ago
Remote
Hiring Remotely in Chile
Senior level
Remote
Hiring Remotely in Chile
Senior level
Design, build, and operate analytics-ready data systems and production data pipelines. Integrate external APIs, run batch ELT into data warehouses, model data for reporting, implement orchestration (Airflow) and transformations (dbt), ensure monitoring and incident response, mentor engineers, and collaborate closely with analytics stakeholders to improve platform scalability, quality, and documentation.
The summary above was generated by AI

Correlation One is the largest provider of AI and data workforce development programs globally, having trained over 500,000 professionals across 11 countries. As the largest training provider for Amazon Career Choice, and a growing partner to state governments building registered apprenticeship programs, Correlation One sits at the intersection of employer talent needs and scalable workforce training.

We work with Fortune 500 enterprises, federal and state government agencies, and leading employers to close skills gaps in AI, data analytics, cybersecurity, and operations leadership. Our programs produce job-ready graduates who are prepared to contribute from day one.

Your impact:

As a Senior Data Engineer, you will play a critical role in building and operating reliable, analytics-ready data systems that power decision-making across the organization. You’ll meaningfully contribute to key data pipelines, partner closely with analytics stakeholders, and help evolve our data platform to be more scalable, trustworthy, and easier to work with.

This is a hands-on role for someone who cares deeply about production data quality, is comfortable making decisions in ambiguous environments, and is motivated by building systems that other teams depend on every day.

A day in the life:
  • Develop long-term technical vision for the team
  • Design technical strategy to develop components, frameworks and libraries to create seamless applications for our customers
  • Hands-on development of scalable components and applications
  • Mentor engineers including senior and junior engineers on their team
  • Improve and uphold standards for engineering and operational excellence
  • Create and encourage comprehensive documentation for code, libraries, and components to facilitate collaboration and knowledge sharing within the team

Your expertise:

  • 4+ years of experience in data engineering or closely related roles
  • Strong experience building and maintaining production data pipelines using Python
  • Hands-on experience integrating data from external APIs
  • Experience operating batch ELT pipelines and working with data warehouses
  • Advanced SQL skills and experience modeling data for analytics and reporting use cases
  • Experience working with orchestration tools such as Airflow
  • Familiarity with dbt or similar transformation tools, and comfort working closely with analytics teams
  • Demonstrated ownership of production systems, including monitoring, debugging, and incident response
  • Comfort working in ambiguous environments and making pragmatic technical decisions
  • Experience working in a cloud environment such as GCP (or equivalent)
  • Familiarity with CI/CD practices and source control (e.g., GitHub)
  • Experience working in collaborative, iterative development environments
  • Additional preferred experience:
    • Designing or migrating pipelines toward incremental loading patterns
    • Working with infrastructure-as-code tools (e.g., Terraform)
    • Experience with data quality tooling, testing, or observability
    • Exposure to BI tools or supporting analytics workflows
    • Experience learning and adopting new tools or technologies quickly

Where you are

  • This role is remote and should be located in Latin America (LatAm) and compatible with EST time zone.

How we support our people 

  • Insurance or subsidies based on country
  • Unlimited Time Off, with a minimum time off recommendation 
  • Company-paid holidays
  • Official company-wide holiday for the last week of the calendar year 
  • Access to free data skills training through our programs
  • A company culture that empowers individuals and embraces diversity through its core mission

The compensation range for this position is specific to location and takes into account the wide range of factors that are considered in making compensation decisions. These factors include (but are not limited to) location, experience, education and skill sets.

Correlation One’s Commitment 

Correlation One is proud to be an Equal Opportunity Employer and is committed to providing equal opportunity for all employees and applicants. Correlation One provides a work environment free of discrimination and harassment. Employment decisions at Correlation One are based solely on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, sex (including pregnancy), age, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, or any other status protected by the laws or regulations in the locations where we operate. We encourage applicants to bring their unique skills, experiences, and outlook to our work environment. 

Correlation One is committed to the full inclusion of all qualified individuals. In keeping with our commitment, Correlation One strives to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you need an accommodation to access the job application or interview process, please contact [email protected].


#noad
#LI-DNI

Similar Jobs

12 Days Ago
In-Office or Remote
97K-97K Annually
Senior level
97K-97K Annually
Senior level
Artificial Intelligence • Machine Learning • Database
Lead architecture and implementation of scalable cloud-native data platforms and medallion-tiered pipelines. Optimize ETL/ELT, enforce data governance, security, and CI/CD/IaC. Mentor engineers, drive adoption of managed/serverless cloud services, integrate BI tools, and lead client-facing technical consulting and architectural decisions.
Top Skills: AWSAzureCi/CdData WarehouseDatabricksDbtFivetranGCPInfrastructure As CodeJavaJavaScriptLakehouseLookerMedallion ArchitectureMicrosoft FabricPower BIPythonSnowflakeSQLTableauTypescript
13 Days Ago
Remote
Senior level
Senior level
Artificial Intelligence • Information Technology • Software
Senior Data Engineer responsible for designing and optimizing scalable Snowflake and dbt pipelines to handle billions of rows. Improve performance, storage, query execution, and cost efficiency; migrate/refine legacy processes; troubleshoot bottlenecks; provide technical leadership, mentorship, and documentation.
Top Skills: DbtPythonSnowflakeSQL
Senior level
Information Technology • Consulting
Design and optimise Snowflake architectures and customer data foundations to support segmentation, personalisation, and audience activation. Build pipelines and reverse-ETL flows to Braze, Hightouch, and CDPs, implement identity resolution and consent frameworks, ensure data quality and governance, and collaborate with CRM, analytics, and marketing teams to enable multi-channel customer engagement and scalable customer 360 solutions.
Top Skills: Adobe CampaignBloomreachBrazeCdpCensusConsent ManagementDbtHightouchReverse EtlSalesforce Marketing CloudSnowflakeSQL

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account