Senior Data Engineer
AI-Native Data Infrastructure (PySpark / Kubernetes / Airflow)
Remote (LATAM)
Forecasa is building the blueprint for what an AI-native data engineering organization looks like.
We operate one of the most comprehensive datasets in private real estate lending. Our platform ingests millions of county-level transactions, normalizes messy public-record data, resolves entities, and powers the analytics used by private lenders, note buyers, and institutional investors across the United States.
We are hiring a Senior Data Engineer in LATAM to take ownership of distributed data pipelines, shape our AI-driven engineering workflows, and help design the next generation of our data platform. This is a high-autonomy, high-impact role with long-term stability and direct collaboration with the CTO and core engineering team.
WHAT YOU WILL DO
- Architect, maintain, and optimize distributed PySpark data pipelines that ingest, normalize, and enrich large real estate datasets.
- Evolve our data platform architecture using Spark on Kubernetes, S3-backed storage, and Airflow orchestration.
- Lead efforts in data quality, validation, anomaly detection, and lineage visibility to ensure high-integrity datasets.
- Accelerate engineering using AI-native workflows, including Claude Code–style tooling and agentic development processes.
- Build new transformations, enrichment layers, and data products for analytics, entity resolution, and risk modeling.
- Contribute to architectural decisions, influence engineering standards, and mentor mid-level engineers.
TECH ENVIRONMENT
- Python
- PySpark on DataBricks
- Airflow
- S3
- PostgreSQL
- GitLab CI
- Grafana
(With expanding use of LLMs, embeddings, and agentic systems.)
WHAT WE ARE LOOKING FOR
Technical requirements:
- 5+ years of experience in data engineering or backend engineering with large-scale or - distributed systems
- Strong hands-on experience with PySpark (partitioning, performance tuning, workload optimization)
- Strong SQL and data modeling skills
- Experience with Airflow or similar orchestrators
- Experience with Docker/Kubernetes
- Familiarity with S3 or cloud object storage
- Ability to write maintainable, production-quality code
Engineering attributes:
- Able to work independently in a remote, async-first environment
- Strong written and verbal communication
- Ownership-driven and pragmatic
- Excited to work in an AI-accelerated engineering environment
BONUS POINTS
- Experience with real estate, financial, or public-record data
- Background in data quality, observability, or lineage
- Experience with entity resolution, record linkage, or embeddings
- Experience tuning Spark clusters for performance and cost efficiency
ABOUT FORECASA
Forecasa is a profitable, founder-led data infrastructure company powering private lenders and institutional investors in the U.S. real estate market. We build the ingestion systems, enrichment layers, and analytics that bring transparency to private credit, and we are aggressively transforming into an AI-native engineering organization. Our team is fully distributed across the world.
