Remote Data Engineer IV: AI-Driven Pipelines

Siri InfoSolutions Inc; Postal (MO); On-site; USD 110,000 - 120,000; Full time

Job summary

Tech Mahindra is seeking a Data Engineer IV to support data infrastructure and analytics initiatives. You will design and maintain scalable data pipelines, collaborate with data scientists and engineers, and help ensure data quality and security across systems.

The role emphasizes building dashboards, leveraging AI-native tools, and timely issue resolution, with remote work options and a salary range mentioned in the listing.

Qualifications

• Bachelor's degree or equivalent in CS/Engineering/Math or related field.
• Experience in data engineering with ETL pipelines.
• Proficiency in SQL and at least one programming language (Python/Java/Scala).
• Experience with data warehousing (Snowflake/Redshift/BigQuery) and cloud platforms (AWS/GCP/Azure).
• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration abilities.

Responsibilities

• Design, build, and maintain scalable data pipelines and ETL processes.
• Collaborate with data scientists, analysts, and engineering teams to deliver reliable data solutions.
• Ensure data quality, integrity, and security across data systems; implement automated monitoring and anomaly detection.
• Develop dashboards and reporting solutions that support product goal tracking and decision-making.
• Leverage and develop AI-native tools and workflows to accelerate data engineering velocity.
• Troubleshoot and resolve data-related issues in a timely manner.
• Document data workflows, processes, and best practices, contributing to knowledge sharing.

Skills

SQL

ETL pipelines

Python/Java/Scala

Data warehousing

Cloud platforms

Communication & collaboration

Education

Bachelor's degree or equivalent

Tools

Snowflake

Redshift

BigQuery

AWS

GCP

Azure

Job description

Tech Mahindra is seeking a Data Engineer IV to support data infrastructure and analytics initiatives. You will design and maintain scalable data pipelines, collaborate with data scientists and engineers, and help ensure data quality and security across systems.

The role emphasizes building dashboards, leveraging AI-native tools, and timely issue resolution, with remote work options and a salary range mentioned in the listing.