Senior Data Engineer

Posted Yesterday
Be an Early Applicant
10 Locations
Remote
Senior level
Edtech • Information Technology • Social Impact • Software • Database • Analytics • Generative AI
Correlation One develops the workforce’s skills for the AI economy
The Role
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.
Summary Generated by Built In

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].

#priority

Skills Required

  • 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
  • Demonstrated ownership of production systems, including monitoring, debugging, and incident response
  • 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
  • Located in Latin America and compatible with EST time zone
  • Mentor engineers including senior and junior engineers on their team
  • 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
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The Company
HQ: New York, NY
125 Employees
Year Founded: 2015

What We Do

Correlation One develops the workforce’s 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 Data Skills for All (DS4A) 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, U.S. Department of State, 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!

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