Senior Data Engineer: Build Scalable Pipelines & Dashboards

Novatalent; United States; On-site; USD 110,000 - 160,000; Full time

Job summary

Novatalent is seeking a Data Engineer to advance our data infrastructure in the United States. The role focuses primarily on maintaining and enhancing our data warehouse and ETL pipelines (about 80%), while contributing to data analysis and reporting (about 20%).

You will partner with cross-functional teams to build robust data solutions and deliver actionable insights through visualizations. The ideal candidate has 3+ years of data engineering experience, strong Python/SQL skills, and hands-on

Qualifications

• 3+ years of experience in data engineering or closely related roles.
• Fluent English communication for collaboration with a U.S.-based team.
• Experience building production data pipelines and data integration workflows.
• Experience with PowerBI or Tableau is a plus.

Responsibilities

• Maintain, enhance, and optimize existing data warehouse architecture and ETL pipelines.
• Design and implement scalable ETL/ELT processes prioritizing data quality and timeliness.
• Monitor pipeline performance, troubleshoot issues, and implement best practices.
• Create and maintain documentation for data engineering processes and configurations.
• Develop PowerBI dashboards and reports to drive business decisions.
• Collaborate with business stakeholders to translate requirements into technical solutions.

Skills

Python

SQL

PySpark

Data modeling

PowerBI

English communication

Tools

Snowflake

BigQuery

Databricks

Airflow

Git

CI/CD

Job description

Novatalent is seeking a Data Engineer to advance our data infrastructure in the United States. The role focuses primarily on maintaining and enhancing our data warehouse and ETL pipelines (about 80%), while contributing to data analysis and reporting (about 20%).

You will partner with cross-functional teams to build robust data solutions and deliver actionable insights through visualizations. The ideal candidate has 3+ years of data engineering experience, strong Python/SQL skills, and hands-on