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IT - ETL Developer

Javen Technologies, IncRichfield, MN🇺🇸United StatesPosted 15 Jul 2026

Why This Role Stands Out

This hybrid role offers exciting opportunities to design and build scalable data pipelines on Google Cloud, leveraging your expertise in SQL, Python, and Apache Airflow, with the potential for extension. You'll thrive here if you possess strong big data and GCP skills, enjoy complex data transformations, and are eager to contribute to a dynamic technology environment. Apply now to advance your career in data engineering!

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

Job Title: IT - ETL Developer

Duration: 6+ Months - Can be extended

Location: Richfield, MN Hybrid Onsite Interview

Position Summary/Job Description:

Hire an experienced Data Engineer to design, build, and maintain scalable batch/streaming data pipelines on Google Cloud. The role requires deep SQL expertise, production grade orchestration with Apache Airflow (Cloud Composer), and strong Python for ELT/ETL, with exposure to Postgres.

Skills Overview:

What are the top five skills and number of years of experience required to perform this job?

  • SQL (5+ years)
  • Apache Airflow (Cloud Composer) (3+ years)
  • Google Cloud Platform (BigQuery, Dataflow, Pub/Sub, GCS, Composer) (3+ years)
  • Python (5+ years)
  • Big Data (warehousing/processing concepts, performance)(5+ years)
  • Postgres (3+)

Experience

  • Design, develop, and operate reliable data pipelines and DAGs using Apache Airflow/Cloud Composer for batch and near real time workflows.
  • Build ELT/ETL on Google Cloud Platform services (e.g., BigQuery, Dataflow, Pub/Sub, Cloud Storage; Composer for orchestration); enforce coding, testing, and observability standards.
  • Write expert level SQL for modeling, complex transformations, windowing functions, and performance tuning; own query efficiency and cost optimization.
  • Develop Python data components (operators, hooks, transforms), packaging and CI/CD for deployment to Composer/Dataflow.
  • Work with Big Data ecosystems and MPP warehouses; support data ingestion, schema evolution, and partitioning/clustering strategies.
  • Integrate Postgres sources/targets
  • Partner with product, analytics, and platform teams; uphold security, compliance, data quality (DQ checks, SLAs), and documentation standards.

What are some preferred/nice to have skills the manager is looking for?

  • Who has worked in ads domain.
  • Should be able to talk to stakeholders and understand the problem and solve it efficiently
  • Preventing data quality issues before they impact users.
  • Prioritizing projects and handling multiple requests.

Interview Process Overview:

We will conduct 2 rounds. 1 on Hacker Rank and 1 onsite in MN office

Skills

SQL
ETL
Airflow
Apache
BigQuery
Google Cloud
Python

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