Junior Data Engineer

COMPANY OVERVIEW:

Our engineering group is split into roughly 60 product teams, each owning its services end to end, with on-call shared across time zones.

ABOUT THE ROLE:

Glenrow Labs needs someone who writes solid SQL and Python and treats pipelines like production software. This hire will help replace a set of fragile nightly scripts with tested, monitored pipelines. The company is based in Phoenix, the US. The team is distributed across several countries. Contract role, full-time hours, paid in USD at the end of each month. You will need at least 4 hours of overlap with US Central time. A quiet workspace and good internet are required.

IN THIS ROLE YOU WILL:

• Build batch and streaming pipelines with Airflow, Dagster or Prefect.
• Process large datasets with Spark on Databricks or EMR.
• Model data in dbt using staging, intermediate and mart layers.
• Handle PII according to retention, masking and access policies.
• Design table layouts and partitioning for Parquet, Delta Lake or Iceberg.
• Maintain CI for data code and review pull requests.
• Work with analysts to define metrics and fix discrepancies between reports.
• Tune slow queries and expensive jobs.

QUALIFICATIONS:

• 1-2 years of data engineering, or backend work with data at volume.
• Hands-on with an orchestration tool such as Airflow.
• Working knowledge of AWS, GCP or Azure data services.
• Familiarity with Git, CI/CD and testing practices for data code.
• Strong Python for data processing.
• Patience with messy source data and the habit of documenting assumptions.

DESIRABLE:

• Kafka, Flink or Spark Structured Streaming.

WHY WORK WITH US:

Salary: $980 - $1,350 monthly

• Paid time off.
• Flexible hours.

Please submit your CV in English.

This posting may close early if we receive enough applications.

Duration: 6 months. Start: Flexible.

Demo job created on 11jobs for testing and demonstrations. It is not an actual opening at Glenrow Labs.