Data Engineer-7
Role summary
We are seeking a skilled Data Engineer to design, build, and maintain scalable data pipelines and data warehouse solutions. The role requires strong experience in cloud-based data platforms, automation, data governance, and performance optimization. Key responsibilities include developing real-time and batch data pipelines, optimizing ETL/ELT processes, implementing data governance and security standards, and managing CI/CD pipelines for data workflows. The ideal candidate will be proficient in Python, PySpark, advanced SQL, and have hands-on experience with AWS services and tools like Snowflake, DBT Cloud, and Airflow.
Dallas, Texas 75019 Posted March 29th, 2026
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Job Type: Full Time
Job Category: IT
Job Description
Job Title: Data Engineer
Loc: Remote/Hybrid- only from Raleigh, NC | Phoenix, AZ | Dallas, TX
Employment type :Full-time
Job Summary
We are looking for a skilled Data Engineer to design, build, and maintain scalable data pipelines and data warehouse solutions. The ideal candidate will have strong experience in cloud-based data platforms, automation, data governance, and performance optimization.
Key Responsibilities
Design, develop, and maintain real-time and batch data pipelines
Build and optimize ETL/ELT processes for data integration from multiple sources
Design and maintain data warehouse structures ensuring data quality and consistency
Implement data governance, security, and compliance standards
Apply data protection measures such as masking, tokenization, and RBAC
Monitor, troubleshoot, and optimize performance of large-scale data systems
Develop automated testing and CI/CD pipelines for data workflows
Manage code deployments across environments including production and disaster recovery
Collaborate with data scientists, analysts, and cross-functional teams
Required Skills & Experience
Experience building automated, cloud-based data pipelines
Strong knowledge of Snowflake, DBT Cloud, Qlik Replicate
Hands-on experience with AWS services (S3, Lambda, Glue, RDS, SQS, SNS)
Proficiency in Python, PySpark, and advanced SQL
Experience with Airflow (Astronomer) and orchestration tools
Knowledge of data governance, security, and compliance best practices
Experience handling structured and semi-structured data (CSV, JSON, XML, etc.)
Experience implementing logging, monitoring, and performance tuning
Familiarity with CI/CD tools (GitLab/GitHub)
Certification in relevant data or cloud technologies
Benefits:
- TCS Employee Benefits Summary:
- Discretionary Annual Incentive.
- Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
- Family Support: Maternal & Parental Leaves.
- Insurance Options: Auto & Home Insurance, Identity Theft Protection.
- Convenience & Professional Growth: Commuter Benefits & Certification & amp; Training Reimbursement.
- Time Off: Vacation, Time Off, Sick Leave & Holidays.
- Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
Required Skills
DEVOPS ENGINEER
SENIOR EMAIL SECURITY ENGINEER