Forward Deployed Engineer

Binagora; Argentina; Remote; ARS 1,800,000 - 2,700,000; Full time

Benefits offered by this job

Remote work

Flexible time off

English classes

Learning & certs

Referral program

Job summary

Binagora, a fully remote software crafts firm, is seeking a Data Engineer to build Python-native data pipelines, migrate workloads to Google Cloud Platform, and optimize BigQuery workloads for client projects.

You will work with Cloud Run, Airflow, Vertex AI, and PySpark, collaborating with cross-functional teams across LATAM and Europe. The role emphasizes client-facing delivery, scalable architecture, and continual learning with tools like GitHub Copilot.

Qualifications

• 4+ years Python development with strong BigQuery experience.
• Experience setting up cloud infrastructure and orchestrating data workflows (Airflow, Cloud Run).
• Ability to adapt engineering solutions to diverse client schemas and environments.

Responsibilities

• Deploy, configure, and execute data pipelines directly within client environments, performing precise field-level data mapping between customer schemas and internal platform data models.
• Lead the technical translation and migration of existing backend data pipelines, workloads, and cloud infrastructure from Microsoft Azure over to Google Cloud Platform (GCP).
• Design, build, and optimize Python-native data engineering pipelines, leveraging BigQuery as the primary high-performance datastore.
• Establish and manage cloud infrastructure and orchestration workflows using tools such as Cloud Run, Apache Airflow, or similar native GCP services.
• Configure Vertex AI for model registry and ML platforms, and utilize Spark/PySpark to optimize computationally intensive tasks such as network-graph calculations.
• Leverage AI-assisted developer tooling (e.g., GitHub Copilot) for efficient code generation, review, and overall engineering productivity.

Skills

Python

Google BigQuery

Airflow

Cloud Run

Vertex AI

PySpark

GitHub Copilot

Tools

Apache Airflow

Cloud Run

Vertex AI

PySpark

GitHub Copilot

Job description

About Binagora

We are a fully remote community of software crafters with over a decade of experience partnering with international clients. We collaborate with bold organizations to deliver high-quality, custom solutions that achieve tangible results. Our expertise spans various sectors, including Media & Entertainment, Solar Energy, Healthcare, Marketing, Audit & Compliance, Diversity & Inclusion, among many others. From initial strategy to final delivery, we go above and beyond, infusing creativity and aligning with business objectives to develop innovative products that challenge conventions and propel businesses forward.

Our Client

Our client is an advanced influence measurement platform that sits on top of first-party customer data to quantify peer-to-peer influence and behavior drivers. By running sophisticated network-graph models and data pipelines inside client environments without using social media data, they unlock previously invisible revenue channels and influence metrics for high-growth brands and enterprises.

Requirements Responsibilities

• Deploy, configure, and execute data pipelines directly within client environments, performing precise field-level data mapping between customer schemas and internal platform data models.
• Lead the technical translation and migration of existing backend data pipelines, workloads, and cloud infrastructure from Microsoft Azure over to Google Cloud Platform (GCP).
• Design, build, and optimize Python-native data engineering pipelines, leveraging BigQuery as the primary high-performance datastore.
• Establish and manage cloud infrastructure and orchestration workflows using tools such as Cloud Run, Apache Airflow, or similar native GCP services.
• Configure Vertex AI for model registry and ML platforms, and utilize Spark/PySpark to optimize computationally intensive tasks such as network-graph calculations.
• Leverage AI-assisted developer tooling (e.g., GitHub Copilot) for efficient code generation, review, and overall engineering productivity.

Must-Haves

• Core Data Engineering Skills: 4+ years of hands-on proficiency in Python and extensive experience using Google BigQuery as a core input/output storage engine.
• Orchestration & Infrastructure: Experience setting up cloud infrastructure and orchestrating data workflows (Airflow, Cloud Run, or equivalent).
• Client-Facing / Forward-Deployed Mindset: Experience adapting standard engineering solutions to diverse, client-specific schemas and environment constraints.

Nice-to-Haves

• Experience porting data pipelines and infrastructure from Microsoft Azure to GCP.
• Official Google Cloud certification (e.g., Associate Cloud Engineer, Professional Data Engineer, or Professional Cloud Architect).
• Experience with Apache Spark or PySpark for complex data processing (e.g., network graph calculations).
• Hands-on experience with Vertex AI for AI platform setups and model management.
• Familiarity with AI-assisted software development tools like GitHub Copilot.

Benefits

• Trust-based culture: We highly value ownership and we trust in our team's skills and seniority to achieve goals.
• Remote work: Enjoy working remotely! We are spread-headed in different locations in LATAM and Europe.
• Flexible time off policy.
• Diverse & Impactful Projects: Engage with complex challenges for major players in Media & Entertainment, alongside innovative startups in Solar Energy, Compliance, and other dynamic sectors.
• Learning and development: Get the opportunity to take English classes, trainings and certifications.
• Referral Program: We value connection! Our referral program provides bonuses for successful referrals.
• Strong culture and traditions: We foster a supportive and engaging work environment, highlighted by our annual “ Binagora Week”, regular team gatherings and gifts for special occasions.

Originally posted on Himalayas