Junior Data Engineer

Airo Digital Labs, LLC

Northern (KY)

Hybrid

USD 70,000 - 90,000

Full time

6 days ago
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Job summary

Airo Digital Labs, LLC is seeking a growing data engineer to support the Senior Data Engineer in building and operating the ingestion and transformation pipelines that feed the platform.

You will work on ETL/ELT pipelines, write SQL and Python transformations on Databricks and Postgres, and contribute to data-quality checks and pipeline health monitoring. The role offers opportunities to learn lakehouse, streaming, and graph technologies while contributing to real-world data assets.

Qualifications

  • Solid SQL and Python required.
  • Exposure to Databricks / Spark and cloud data pipelines.
  • Understanding of ETL/ELT concepts, relational modelling and Postgres.

Responsibilities

  • Build and maintain ETL/ELT pipelines for FedEx, customer and third-party data sources under guidance.
  • Write and optimize SQL and Python transformations on Databricks and Postgres.
  • Implement data-quality checks and help monitor pipeline health.
  • Assist with graph and ontology data loads and documentation of data assets.

Skills

SQL
Python
Databricks / Spark
Cloud data pipelines
ETL/ELT concepts
Relational modelling
Postgres

Tools

Databricks
Postgres

Job description

A growing data engineer who supports the Senior Data Engineer in building and operating the ingestion and transformation pipelines that feed the platform.

Key Responsibilities
  • Build and maintain ETL/ELT pipelines for FedEx, customer and third-party data sources under guidance.
  • Write and optimize SQL and Python transformations on Databricks and Postgres.
  • Implement data-quality checks and help monitor pipeline health.
  • Assist with graph and ontology data loads and documentation of data assets.
Must-have Skills & Technologies
  • Solid SQL and Python.
  • Exposure to Databricks / Spark and cloud data pipelines.
  • Understanding of ETL/ELT concepts, relational modelling and Postgres.
Prior Experience
  • 1–3 years in a data engineering or analytics-engineering role (internships and strong project work count).
  • Eagerness to learn lakehouse, streaming and graph technologies.
Nice to Have
  • Any exposure to Azure, Event Hub, or data governance tooling.
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