Job description

Fractal River is a consulting firm that helps growth-stage startups scale faster. It does so by working hands-on with the startups to build the technical and operational infrastructure they need to scale, while at the same time transferring knowledge and helping them develop their own internal capabilities.

We create and manage analytics infrastructure and cloud-based systems, with technologies such as Python, SQL, Docker/Linux, and serverless capabilities and infrastructure (Snowflake, PostgreSQL, RedShift, Lambda, etc.) hosted within the Amazon or Google clouds. We also configure and set up a variety of systems along the startup’s customer journey including HubSpot, Salesforce, and ZenDesk.

We are seeking a Data Engineer to join our team.

What you’ll do:

Help design and implement data pipelines and analytic infrastructures with the latest technologies.
Create beautiful dashboards and reports, and work with customers to create self-service exploration data cubes using Looker.
Develop Python & SQL components to integrate and automate a variety of processes and tools.
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 is running with the reliability and performance our customers expect.
Help create Data Models, best practices, and technical documents for our customers.
Develop our internal best practices, policies, and processes regarding DevOps and DataOps.
Coordinate projects, activities, and tasks to ensure objectives and key results are met.
Help identify opportunities, generate innovative solutions, and improve existing product features.

Who we are looking for:

Our ideal candidate is someone with 2-5 years of working experience in fast-paced environments, a high tolerance for ambiguity, and a passion for constant learning. We’re looking for motivated, highly adaptive people who enjoy the challenge of working with brilliant people in multiple, innovative startups to put in place technical infrastructures that power their growth. They must be able to interact with customers and perform not only technical work but can understand needs, extract requirements, and design and propose solutions as well.

Candidates must ideally also:

Be adept at data analysis and process improvement.
Work collaboratively but are also able to own a project with little guidance
Thrive in an environment with constant and quick iterations.
Seek out creative solutions to challenging problems.
Have strong communication skills in English (CEFR level C1 is a must, see details).
Have strong attention to detail.
Be wizards in Python and/or speak SQL as a second language.
Be very familiar with databases & data warehouses: Snowflake, Redshift, BigQuery, Postgres, MySQL, etc.
Be comfortable creating complex data models and visualizations.
Be familiar with development tools (Terraform, GitHub, VSCode, CircleCI, Docker, dbt).
Be knowledgeable of AWS environments (EC, Lambda, IAM, SQS, RDS, Kinesis, VPC, etc.)
Like to work in a very diverse work environment and be comfortable with non-hierarchical organizations.
Have a bachelor’s degree in computer science or similar.
Google Professional Data Engineer / Cloud Developer certifications are a plus.
AWS associate or professional-level certifications (Solutions Architect, Developer, DevOps Engineer) are a plus.
Knowledge of Google Analytics, Salesforce, HubSpot, and/or ZenDesk is a plus.
Knowledge of Looker or Tableau is a plus.

Besides the benefits that as per law you are entitled to, we offer:

Personal development plan with accelerated career track.
Access to an extensive reference library of books, case studies, and best practices.
Unlimited budget for work-related books.
Support for certifications (time to study, sandboxes, all related costs) including AWS, Google, Microsoft, and other technologies.
Special bonuses for certifications acquired.
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.
Private healthcare contribution.
Three floating holidays and unlimited (but reasonable) PTO starting the first year.
Fun company off-sites!

We are proud to be an equal opportunity employer.

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