Let’s be direct: We’re looking for a technical powerhouse. If you’re the developer who:
Is the clear technical leader on your team
Consistently solves problems others can’t crack
Ships complex features in half the time it takes others
Writes code so clean it could be published as a tutorial
Takes pride in elevating the entire codebase
Then we want to talk to you.
This isn’t a role for everyone, and that’s by design.
We’re seeking developers who know they’re exceptional and have the track record to prove it.
What you will do
Build, optimize, and scale data pipelines and infrastructure using Python, TypeScript, Apache Airflow, PySpark, AWS Glue, and Snowflake.
Design, operationalize, and monitor ingest and transformation workflows: DAGs, alerting, retries, SLAs, lineage, and cost controls.
Collaborate with platform and AI/ML teams to automate ingestion, validation, and real-time compute workflows; work toward a feature store.
Integrate pipeline health and metrics into engineering dashboards for full visibility and observability.
Model data and implement efficient, scalable transformations in Snowflake and PostgreSQL.
Build reusable frameworks and connectors to standardize internal data publishing and consumption.
Required qualifications
4+ years of production data engineering experience.
Deep, hands-on experience with Apache Airflow, AWS Glue, PySpark, and Python-based data pipelines.
Strong SQL skills and experience operating PostgreSQL in live environments.
Solid understanding of cloud-native data workflows (AWS preferred) and pipeline observability (metrics, logging, tracing, alerting).
Proven experience owning pipelines end-to-end: design, implementation, testing, deployment, monitoring, and iteration.
Preferred qualifications
Experience with Snowflake performance tuning (warehouses, partitions, clustering, query profiling) and cost optimization.
Real-time or near-real-time processing experience (e.g., streaming ingestion, incremental models, CDC).
Hands-on experience with a backend TypeScript framework (e.g., NestJS) is a strong plus.
Experience with data quality frameworks, contract testing, or schema management (e.g., Great Expectations, dbt tests, OpenAPI/Protobuf/Avro).
Background in building internal developer platforms or data platform components (connectors, SDKs, CI/CD for data).
Additional Information
This is a fully remote position.
Compensation will be in USD.
Work hours are aligned with the EST time zone (9 AM to 6 PM EST) or PT time zone.
Skills Required
- 4+ years of production data engineering experience
- Deep hands-on experience with Apache Airflow
- Deep hands-on experience with AWS Glue
- Deep hands-on experience with PySpark
- Deep hands-on experience with Python-based data pipelines
- Strong SQL skills
- Experience operating PostgreSQL in live environments
- Solid understanding of cloud-native data workflows (AWS preferred)
- Experience with pipeline observability: metrics, logging, tracing, alerting
- Proven experience owning pipelines end-to-end (design through monitoring and iteration)
- Experience with Snowflake performance tuning and cost optimization
- Real-time or near-real-time processing experience (streaming, incremental models, CDC)
- Hands-on experience with backend TypeScript framework (e.g., NestJS)
- Experience with data quality frameworks, contract testing, or schema management (Great Expectations, dbt tests, OpenAPI/Protobuf/Avro)
- Background building internal developer platforms or data platform components (connectors, SDKs, CI/CD for data)
What We Do
Wizdaa is an IT recruitment services company that specializes in sourcing and placing top-tier remote developers from Latin America with startups, primarily in U.S. time zones. From its headquarters in Miami, it sources and vets elite-level developers to ensure seamless, real-time collaboration for clients. The company provides end-to-end solutions including onboarding, payroll, and tax management, helping startups build world-class development teams efficiently.
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