Senior Data Engineer

Nagarro; Dallas (TX); Hybrid; USD 130,000 - 170,000; Full time

Job summary

Nagarro in Dallas is seeking a hands-on data engineer to build and support production‑grade cloud data pipelines and data products, focused on Snowflake and AWS engineering, delivering reliable onboarding through production support.

Design and implement scalable ingestion, transformation, and quality checks using Snowflake, dbt, and Airflow; integrate via APIs and cloud storage; collaborate with architects, data stewards, and distributed teams; on-site Dallas 3 days/week.

Qualifications

• 8+ years in data engineering, ETL/ELT, or cloud data-platform development.
• Production experience with dbt and Airflow.
• Strong Snowflake skills, including advanced SQL and data modeling.
• Experience with SnapLogic, Kafka, REST APIs, Git, and CI/CD.
• Experience implementing data quality frameworks such as SODA.
• Ability to troubleshoot production pipelines across onsite and offshore teams.
• Ability to work onsite in Dallas three days per week.

Responsibilities

• Design and build scalable ingestion and transformation pipelines across Snowflake Bronze, Silver, and Gold layers.
• Develop modular dbt models, advanced SQL transformations, and Airflow workflows.
• Build AWS-based integrations using files, APIs, events, and cloud storage patterns.
• Perform source profiling, source-to-target mapping, cleansing, standardization, reconciliation, and data validation.
• Implement automated unit, integration, regression, and data quality tests using frameworks such as SODA.
• Support CI/CD, production deployments, monitoring, troubleshooting, performance tuning, documentation, and hypercare.
• Collaborate closely with architects, product teams, data stewards, and distributed engineering teams.

Skills

SQL

Data modeling

ETL/ELT

Cloud data platforms

Problem solving

Tools

Snowflake

dbt

Airflow

SnapLogic

Kafka

REST APIs

Git

CI/CD

Job description

Build and support production-grade cloud data pipelines and data products. This is a hands-on role focused on Snowflake and AWS engineering, with responsibility for reliable delivery from source onboarding through production support.

Key Responsibilities

• Design and build scalable ingestion and transformation pipelines across Snowflake Bronze, Silver, and Gold layers.
• Develop modular dbt models, advanced SQL transformations, and Airflow workflows.
• Build AWS-based integrations using files, APIs, events, and cloud storage patterns.
• Perform source profiling, source-to-target mapping, cleansing, standardization, reconciliation, and data validation.
• Implement automated unit, integration, regression, and data quality tests using frameworks such as SODA.
• Support CI/CD, production deployments, monitoring, troubleshooting, performance tuning, documentation, and hypercare.
• Collaborate closely with architects, product teams, data stewards, and distributed engineering teams.

Required Skills and Experience

• Strong hands-on Snowflake skills, including advanced SQL, data modeling, performance tuning, and secure data access.
• 8+ years in data engineering, ETL/ELT, or cloud data-platform development.
• Production experience with dbt and Airflow.
• Experience with SnapLogic or similar integration tools, Kafka, REST APIs, Git, and CI/CD.
• Experience implementing data quality frameworks such as SODA, automated testing, reconciliation, and observability.
• Ability to troubleshoot production pipelines and work effectively across onsite and offshore teams.
• Ability to work onsite in Dallas three days per week.