Job Description

No OPT or H1 candidates

Must have Consulting Background

Must be ready to work 2 days from Office in Dallas, TX

Data Engineer United States

About the Role

We're seeking a skilled Data Engineer to join our growing team. You will play a key role in designing, building, and optimizing data pipelines and data models that support critical business insights and AI/analytics initiatives. This is a hands-on engineering role with a focus on data modeling, transformation, and scalability.

Key Responsibilities

• Design, implement, and maintain robust ETL/ELT pipelines to ingest and transform data from multiple sources into clean, structured datasets.
• Develop and optimize data models to support analytics, reporting, and machine learning workloads.
• Write efficient and maintainable SQL to support data transformations, validations, and performance tuning.
• Use Python to build reusable data processing components, automate workflows, and integrate with APIs or third-party systems.
• Collaborate closely with data analysts, data scientists, and software engineers to ensure data is accurate, accessible, and scalable.
• Monitor, troubleshoot, and continuously improve data pipelines for reliability and performance.
• Contribute to data architecture decisions and advocate for best practices in data engineering.

Required Qualifications

• 3+ years of experience as a Data Engineer or in a similar data-focused role.
• Strong expertise in SQL and data modeling for both analytical and operational use cases.
• Proficiency in Python for data manipulation, scripting, and pipeline development.
• Hands-on experience building and maintaining ETL/ELT pipelines using modern frameworks or orchestration tools (e.g., Airflow, dbt, Prefect, etc.).
• Experience with cloud-based data platforms (e.g., Snowflake, BigQuery, Redshift, Azure Synapse, or similar).
• Excellent problem-solving skills and the ability to work in a collaborative, fast-paced environment.
• Must be authorized to work in the United States .

Preferred Qualifications

• Experience with data warehouse/lakehouse architectures.
• Familiarity with CI/CD workflows for data pipelines.
• Exposure to data governance, security, and compliance best practices.
• Knowledge of modern data observability and monitoring tools.

if you are interested or have references please share resume at mukul@brightmindsol.com.

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