Staff Data Engineer

CORRELATION ONE

Correlation One develops workforce skills for the AI economy

Enterprises and governments work with us to develop talent and close critical data, digital, and technology skills gaps. Our global programs, including training programs and data competitions, also empower underrepresented communities and accelerate careers.

Our mission is to create equal access to the data-driven jobs of the future. We partner with top employers and government organizations to make that a reality, including Amazon, Coca-Cola, Johnson & Johnson, USAID, the U.S. State Department, and the U.S. Department of Defense.

Our skills training programs are 100% free for learners and are delivered virtually by industry experts to minimize traditional barriers to career advancement. We take pride in fostering supportive, human-led, group learning environments that build technical proficiency and confidence in participants.

Join us and let's shape the AI Economy together!

Your impact:

As a Staff 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 own key data pipelines end-to-end, 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:

• Own and operate production data pipelines, with a strong focus on reliability, correctness, and long-term maintainability
• Design and build Python-based data ingestion pipelines, including custom API integrations
• Orchestrate and operate batch ELT workflows using Airflow, with attention to re-runs, backfills, and failure handling
• Develop analytics-ready data models that support reporting, dashboards, and downstream analysis
• Partner closely with data analysts and other stakeholders to understand data needs and improve usability and clarity
• Help evolve our data warehouse toward more incremental, efficient, and scalable loading patterns
• Investigate and resolve data issues in production, prioritizing correctness over shipping new features
• Make thoughtful tradeoffs in ambiguous situations and move work forward with a bias toward action
• Improve data quality through validation, testing, and monitoring
• Share knowledge, review code, and help raise the bar for data engineering best practices across the team

Your expertise

• 7+ 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 candidates@correlation-one.com.

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