Data Engineer

Hirewell; United States; On-site; USD 120,000 - 180,000; Full time

Job summary

Hirewell in the United States is seeking a Senior Data Engineer to partner with business teams, designing scalable data pipelines and reliable datasets. You will leverage Snowflake, BigQuery and ETL tools to deliver robust data solutions.

The role emphasizes strong Python development, data modeling, and orchestration with Airflow or similar schedulers, with a focus on independent work and cross-functional collaboration.

Qualifications

• 5+ years of data engineering experience.
• Strong SQL across Snowflake, BigQuery, Oracle or MySQL.
• Experience with ETL tools Informatica, Talend or Alteryx.

Responsibilities

• Build and maintain scalable data pipelines and datasets.
• Collaborate with business teams to translate needs into data solutions.

Skills

SQL

Python

Data integration

Data modeling

ETL concepts

Tools

Snowflake

BigQuery

Oracle

MySQL

Informatica

Talend

Alteryx

Airflow

Cron

PySpark

Tableau

Domo

Job description

Work with a growing healthcare organization that is looking to add a Senior Data Engineer to their team. This is a great opportunity for someone who enjoys working closely with the business, solving data challenges, and building solutions that have a real impact.

What they’re looking for:

• 5+ years of data engineering experience
• Strong SQL skills with experience across platforms such as Snowflake, BigQuery, Oracle, or MySQL
• Experience with ETL tools such as Informatica, Talend, or Alteryx
• Experience with Python and data automation
• Familiarity with Airflow, Cron, or other scheduling/orchestration tools
• Experience combining data from multiple sources and creating reliable, business-ready datasets
• Understanding of data warehouses, dimensional modeling, and slowly changing dimensions
• Exposure to PySpark/distributed computing is a plus
• Experience with data visualization tools such as Tableau or Domo is a plus

This role would be a strong fit for someone who can work independently but also enjoys partnering directly with business teams to understand what they need and turn that into practical data solutions.

Must be authorized to work in the US without any sponsorship.