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Senior Amazon Data Engineer Jobs in Texas (NOW HIRING)

Xpect Solutions

Sr. Data Engineer

Crystal City, TX · Hybrid

$106K - $140K/yr

Job Openings >> Sr. Data Engineer Sr. Data Engineer Summary Title: Sr. Data Engineer ID: 1000000039 ... Architect AWS deployments using EC2, ECS, EBS, RDS Postgres, ALBs, Lambda, S3, and Amazon MQ ...

Tiger Analytics

Lead Data Engineer - AWS

Dallas, TX · On-site

$113K - $136K/yr

Tiger Analytics is a fast-growing advanced analytics consulting firm seeking an experienced Senior ... Architect data pipelines using Amazon Bedrock and Amazon SageMaker to build, deploy, and scale ...

Tixy Services LLC

Senior Data Engineer

Dallas, TX · On-site

$105K - $143K/yr

Job Title: Senior Data Engineer Location: Dallas, TX (Onsite) Employment Type: Full-time Job ... Amazon Redshift * Microsoft Fabric * Collaborate with Cloud Architects and Platform Engineers on ...

New

Amazon

Data Engineer II, OTS - Data ANCHOR Team

Austin, TX · On-site

$113K - $136K/yr

Join the OTS Data ANCHOR team to build strategic data infrastructure powering Amazon's Operations ... As a Data Engineer, you will build and maintain scalable data pipelines and AI/ML-ready data ...

Amazon

Data Engineer II, OTS - Data ANCHOR Team

Austin, TX

$113K - $136K/yr

Join the OTS Data ANCHOR team to build strategic data infrastructure powering Amazon's Operations ... As a Data Engineer, you will build and maintain scalable data pipelines and AI/ML-ready data ...

Amazon

Data Engineer II, OTS - Data ANCHOR Team

Austin, TX · On-site

$113K - $136K/yr

Join the OTS Data ANCHOR team to build strategic data infrastructure powering Amazon's Operations ... As a Data Engineer, you will build and maintain scalable data pipelines and AI/ML-ready data ...

Ruri Software Technologies LLC

Data Engineer

Dallas, TX · On-site

$105K - $126K/yr

Data Engineer Location:Dallas ,TX Candidate who has significant experience in building data lakes ... Hands on experience in Amazon services such as S3,Lambda, ECS, Glue, Kinesis, Appflow, Datasync ...

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Senior Amazon Data Engineer information

What are the key skills and qualifications needed to thrive as a senior Amazon data engineer, and why are they important?

To thrive as a Senior Amazon Data Engineer, you need advanced proficiency in data modeling, ETL development, SQL, and experience with large-scale data architectures, typically supported by a computer science degree or equivalent. Expertise in AWS services (such as Redshift, S3, Glue), programming languages like Python or Java, and relevant certifications (e.g., AWS Certified Data Analytics) are commonly required. Strong problem-solving abilities, effective communication, and leadership skills distinguish top performers in this role. These skills ensure the efficient design, implementation, and optimization of complex data solutions that drive business insights and support organizational goals.

What is the difference between Senior Amazon Data Engineer vs Amazon Data Engineer?

AspectSenior Amazon Data EngineerAmazon Data Engineer
Required CredentialsTypically requires 5+ years experience, advanced SQL, AWS certificationsEntry to mid-level, foundational SQL, AWS certifications beneficial
Work EnvironmentDesigning complex data pipelines, mentoring, strategic projectsBuilding and maintaining data pipelines, data analysis
Employer & Industry UsageUsed in large-scale data teams within Amazon and similar tech companiesCommon in tech companies, e-commerce, and cloud service providers

The main difference between a Senior Amazon Data Engineer and an Amazon Data Engineer lies in experience, responsibilities, and project complexity. Senior roles involve strategic planning, mentoring, and handling complex data systems, while entry-level roles focus on building and maintaining data pipelines. Both roles require AWS knowledge and data engineering skills, but senior positions demand more experience and leadership capabilities.

What does a senior Amazon data engineer do?

A Senior Amazon Data Engineer is responsible for designing, building, and maintaining large-scale data processing systems on Amazon Web Services (AWS) infrastructure. They work with big data technologies, such as Amazon Redshift, AWS Glue, and Amazon S3, to ensure data is efficiently collected, stored, and made accessible for analytics and business intelligence. Additionally, they often lead data engineering teams, optimize data pipelines for performance, and ensure data quality and security standards are met.

What are some common challenges faced by senior Amazon data engineers when working with large-scale datasets?

Senior Amazon Data Engineers often encounter challenges related to optimizing the performance of data pipelines and ensuring data quality at scale. Managing and transforming massive volumes of data requires expertise in distributed systems, efficient data modeling, and automating data validation processes. Additionally, collaborating with cross-functional teams—such as data scientists, analysts, and software engineers—means balancing differing requirements and priorities while maintaining robust, scalable solutions. Staying current with evolving AWS services and best practices is also essential to address these challenges effectively.
What are the most commonly searched types of Amazon Data Engineer jobs in Texas? The most popular types of Amazon Data Engineer jobs in Texas are:
What are popular job titles related to Senior Amazon Data Engineer jobs in Texas? For Senior Amazon Data Engineer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Senior Amazon Data Engineer jobs in Texas look for? The top searched job categories for Senior Amazon Data Engineer jobs in Texas are:
What cities in Texas are hiring for Senior Amazon Data Engineer jobs? Cities in Texas with the most Senior Amazon Data Engineer job openings:
Senior Amazon Data Engineer jobs near you
Infographic showing various Senior Amazon Data Engineer job openings in Texas as of August 2026, with employment types broken down into 100% Full Time. Highlights an 75% In-person, and 25% Hybrid job distribution.

Senior Data Engineer

Tata Consultancy Service Limited

Dallas, TX • On-site

$110K - $130K/yr

Full-time

Posted 20 days ago

Job description

Roles & Responsibilities
We are seeking a highly skilled Senior AWS Data Engineer with expertise in Fivetran, AWS Glue, Python, SQL, and cloud-native data engineering. The ideal candidate will be responsible for building scalable data ingestion and transformation frameworks, enabling analytics, data products, and AI-driven initiatives across the enterprise. Exposure to Amazon Bedrock and modern GenAI architectures is highly desirable.
Key Responsibilities
• Design, develop, and maintain enterprise-scale data pipelines using AWS services.
• Implement and manage data ingestion frameworks using Fivetran.
• Develop ETL/ELT workflows using AWS Glue and PySpark.
• Build and optimize data lake solutions on AWS.
• Perform source-to-target mapping and support data migration initiatives.
• Implement data quality, validation, reconciliation, and monitoring frameworks.
• Develop reusable pipeline patterns and automation frameworks.
• Collaborate with architects, business stakeholders, and analytics teams to deliver trusted data products.
• Support AI and GenAI use cases by preparing and managing high-quality datasets.
• Follow DataOps, CI/CD, governance, and security best practices.
AWS Technologies
• Amazon S3
• AWS Glue
• Lambda
• IAM
• CloudWatch
• EventBridge
• Step Functions
Data Engineering
• ETL / ELT Development
• Data Warehousing
• Data Lake Architecture
• Source-to-Target Mapping
• Data Quality Frameworks
• Pipeline Automation
• Performance Optimization
DevOps / DataOps
• Git
• CI/CD Pipelines
• Agile Delivery
• Infrastructure Automation
Preferred Skills
• Amazon Bedrock
• Retrieval-Augmented Generation (RAG)
• Prompt Engineering
• Snowflake
• dbt
• Apache Airflow
• Data Catalog & Governance
• Amazon Textract
• AI/ML Integration and Data Preparation
Salary Range: $110,000 to $130,000 per year

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