Data Engineer II: ETL, SQL & Scalable Data Pipelines

Mastercard; Helena (MT); On-site; USD 90,000 - 130,000; Full time

Job summary

Mastercard is seeking a Data Engineer II for the T&L Data Delivery team to design, implement, and maintain enterprise ETL processes for a global client base. You will optimize SQL queries and collaborate with engineers to deliver robust data solutions across multiple industries.

The role requires strong data modeling, experience with Databricks/Spark, and comfort working across time zones with global teams. Mastercard offers opportunities in a fast-paced, secure tech environment.

Qualifications

• BE/BTech in a quantitative field; ME/MTech preferred.
• Excellent English quantitative, technical, and communication (oral/written) skills.
• Experience as a Data Engineer or in a similar role with data modeling and scalable data solutions.
• Strong knowledge of writing and optimizing SQL queries to retrieve and analyze data.
• Experience with Relational Databases (RDBMS) and Microsoft SQL Server.
• Familiarity with ETL frameworks and building data pipelines.

Responsibilities

• Design, implement, and maintain enterprise ETL processes for data platforms across a global client base.
• Collaborate with Data Engineers and Analysts to support on-time, high-value data solutions.
• Use SQL and related technologies to optimize data processing and build scalable code.
• Apply industry best practices such as version control, code reviews, and data validation.
• Design streamlined processes to automate routine data tasks.
• Build trust-based relationships with peers and clients across local and global teams.

Skills

SQL optimization

SQL queries

Data modeling

ETL frameworks

Databricks / Spark

Data pipelines

Communication

Education

BE/BTech or ME/MTech in quantitative field

Tools

Microsoft SQL Server

Relational Databases

Databricks

Job description

Mastercard is seeking a Data Engineer II for the T&L Data Delivery team to design, implement, and maintain enterprise ETL processes for a global client base. You will optimize SQL queries and collaborate with engineers to deliver robust data solutions across multiple industries.

The role requires strong data modeling, experience with Databricks/Spark, and comfort working across time zones with global teams. Mastercard offers opportunities in a fast-paced, secure tech environment.