Data Engineer

RemoteFull-timeData Team

Build and maintain data pipelines and analytics systems for AI and SaaS startups. Help clients unlock insights and feed reliable data into their machine learning workflows.

What You'll Do

Design and implement ETL/ELT pipelines (Airflow, dbt preferred)
Set up and manage data warehouses (BigQuery, Snowflake, Redshift)
Collaborate with clients to understand data requirements
Optimize data models for analytics and reporting
Ensure pipeline reliability and monitoring
Support ML workflows and feature engineering

Requirements

2–4 years of experience in data engineering
Strong SQL skills and experience with cloud data warehouses
Familiarity with Python or Scala for data transformations
Experience with orchestration tools (Airflow, Prefect, Dagster)
Understanding of data governance and security best practices
Experience with stream processing (Kafka, Spark) is a plus

What We Offer

Work on data projects that power real-world decisions
Growth opportunities in ML Ops and analytics engineering
Support for continuous learning and certifications
Remote-first collaborative environment
Performance-based bonuses

Ready to Apply?

Join our data team and help startups build data-driven solutions.

Tech Stack

Technologies we work with:

PythonSQLAirflowdbtBigQuerySnowflakeSparkKafka

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