DataOps Engineer — Build Scalable Pipelines & Data Quality

OpenTalent; United States; On-site; USD 110,000 - 170,000; Full time

Job summary

MedPro Group is seeking a DataOps Engineer to design and build scalable data pipelines and ETL workflows, ensuring robust data infrastructure. You will maintain data warehouse infrastructure, optimize query performance, and collaborate with data scientists and analysts to deliver data products while upholding data quality, lineage and governance standards.

You will work in a fast-paced environment leveraging AWS, Databricks and modern data tools, contributing to scalable, reliable data products

Qualifications

• 6+ years of relevant experience in data engineering.
• Proficiency in SQL and Python for data engineering.
• Familiarity with cloud data platforms (Databricks, Snowflake, BigQuery).

Responsibilities

• Design and build scalable data pipelines and ETL workflows.
• Maintain data warehouse infrastructure and optimize query performance.
• Work with data scientists and analysts to deliver data products.
• Ensure data quality, lineage and governance standards.

Skills

SQL

Python

Data pipelines

Tools

AWS

Terraform

IAM

Databricks

Snowflake

BigQuery

Job description

MedPro Group is seeking a DataOps Engineer to design and build scalable data pipelines and ETL workflows, ensuring robust data infrastructure. You will maintain data warehouse infrastructure, optimize query performance, and collaborate with data scientists and analysts to deliver data products while upholding data quality, lineage and governance standards.

You will work in a fast-paced environment leveraging AWS, Databricks and modern data tools, contributing to scalable, reliable data products