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Fractal River · 2 months ago

Data Engineer (Remote - Latin America)

United States

Full-time

Remote

Entry, Mid Level

1+ years exp

Fractal River is a consulting firm that helps companies scale faster by building robust technical and operational infrastructure. They are seeking a Software and Data Engineer to design and implement data pipelines and analytic infrastructures while leveraging the latest technologies to enhance client capabilities.

ConsultingInformation TechnologyManagement ConsultingSoftware

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

Create beautiful dashboards and reports, and work with customers to create self-service data exploration capabilities

Build data pipelines and integrations to connect systems, automate processes, and ensure data flows seamlessly across platforms

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

Help create data models, establish data governance frameworks, define metrics, and ensure data quality across reporting layers

Develop technical documentation and best practices for our customers

Drive internal improvement initiatives by identifying opportunities for efficiency gains, discovering new best practices, and proposing internal projects that enhance our capabilities and processes

Contribute to our evolving DevOps and DataOps practices, helping shape how we work as we continuously improve

Coordinate projects, activities, and tasks to ensure objectives and key results are met

Identify opportunities, generate innovative solutions, and improve existing product features

Qualification

Data pipelinesAI toolsData warehousesSQL fundamentalsPythonData modelingData governanceBI toolsCollaborationAdaptabilityDetail-oriented

Required

1-5 years of working experience in fast-paced environments

High tolerance for ambiguity

Passion for constant learning

Ability to interact with customers and perform technical work

Ability to understand needs, extract requirements, and design and propose solutions

Curious and driven to learn

Proactive and a self-starter

Comfortable with Python and SQL fundamentals

Ability to leverage AI tools to accelerate work while maintaining quality

Eager to leverage AI tools to fuel creativity and problem-solving

Collaborative and communicative

Adaptable in environments with constant iteration

Process-minded with capability to develop and improve best practices

Detail-oriented with strong attention to detail

English Language Requirements: CEFR level C1 (Advanced)

Preferred

Familiarity with data warehouses like Snowflake, Redshift, or BigQuery

Experience with data modeling, data governance, and creating complex visualizations

Experience with BI tools such as Looker, Sigma, or Power BI

AWS/GCP/Azure services knowledge

Experience with development tools such as Terraform, Docker, CircleCI, and dbt

Certifications (AWS, Google Professional Data Engineer, etc.)

Knowledge of Google Analytics, Salesforce, HubSpot, and/or Zendesk

Comfort working in non-hierarchical, diverse work environments

Bachelor's degree in computer science or similar field

Benefits

Personal development plan with an accelerated career track.

Access to an extensive reference library of books, case studies, and best practices.

Unlimited access to AI tools (ChatGPT, Claude, Gemini, etc.)

Unlimited budget for work-related books.

Online training (Udemy, nanodegrees, etc.), English language training.

Stretch assignments, pair programming, and code reviews with new technologies.

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. After a few months, gaming chair, espresso maker, standing desk, and speakers (or other items like these).

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.

Fun company off-sites!