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Senior Amazon Data Engineer Jobs in Watauga, TX (NOW HIRING)

Amazon

Data Engineer II - AMZ10414442

Dallas, TX · On-site

$139K - $178K/yr

AMAZON.COM SERVICES LLC Offered Position: Data Engineer II Job Location: Dallas, Texas Job Number: AMZ10414442 Position Responsibilities: Design, develop, implement, test, document, and operate large ...

CVS Health

Sr. Data Engineer

Irving, TX · On-site +1

$114K - $185K/yr

... Sr. Data Engineer to Design, build, and maintain large-scale data infrastructure and data ... Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP); SAS or SQL programming languages;

Tiger Analytics Inc.

Lead Data Engineer - AWS

Dallas, TX · Remote

$104K - $138K/yr

Tiger Analytics is seeking an experienced Senior Data Engineer to join our team, specifically ... Architect data pipelines using Amazon Bedrock and Amazon SageMaker to build, deploy, and scale ...

Tiger Analytics Inc.

Lead Data Engineer - AWS

Dallas, TX · On-site

$101K - $133K/yr

Tiger Analytics is seeking an experienced Senior Data Engineer to join our team, specifically ... Architect data pipelines using Amazon Bedrock and Amazon SageMaker to build, deploy, and scale ...

Tiger Analytics Inc.

Lead Data Engineer - AWS

Dallas, TX · On-site +1

$101K - $133K/yr

Tiger Analytics is seeking an experienced Senior Data Engineer to join our team, specifically ... Architect data pipelines using Amazon Bedrock and Amazon SageMaker to build, deploy, and scale ...

Addison Group

Senior Data Engineer

Dallas, TX · On-site

$120K - $140K/yr

Senior Data Engineer Location: Coppell, TX Salary Range: $120K-$140K We are looking to bring on a Senior Data Engineer to our team due to growth. What we need is someone who comes 8+ years of ...

Addison Group

Senior Data Engineer

Dallas, TX · On-site

$120K - $140K/yr

Senior Data Engineer Location: Coppell, TX Salary Range: $120K-$140K We are looking to bring on a Senior Data Engineer to our team due to growth. What we need is someone who comes 8+ years of ...

Addison Group

Senior Data Engineer

Dallas, TX · On-site

$120K - $140K/yr

Senior Data Engineer Location: Coppell, TX Salary Range: $120K-$140K We are looking to bring on a Senior Data Engineer to our team due to growth. What we need is someone who comes 8+ years of ...

Addison Group

Senior Data Engineer

Dallas, TX · On-site

$120K - $140K/yr

Senior Data Engineer Location: Coppell, TX Salary Range: $120K-$140K We are looking to bring on a Senior Data Engineer to our team due to growth. What we need is someone who comes 8+ years of ...

Protagona

Data Engineer

Dallas, TX · Remote

As a Data Engineer, you will be part of a talented team of engineers responsible for the deployment ... Amazon RDS, Cassandra, Snowflake, PostgreSQL, Databricks, etc.) * Experience in the design and ...

Hermitage Infotech

Senior Data Engineer

Dallas, TX · On-site +1

$104K - $142K/yr

Senior Data Engineer Location: Dallas, TX or Mountain View, CA Duration: Long Term Contract As part of the Mail Analytics Data Engineering team, you will be working on large-scale batch pipelines ...

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All JobsAmazon Data Engineer JobsSenior Amazon Data Engineer JobsSenior Amazon Data Engineer Jobs in Watauga, TX

Senior Amazon Data Engineer information

See Watauga, TX salary details

$71.5K

$111.5K

$154.5K

How much do senior amazon data engineer jobs pay per year?

As of Aug 31, 2026, the average yearly pay for senior amazon data engineer in Watauga, TX is $111,535.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,600.00 and $127,100.00 per year, depending on experience, location, and employer.

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 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 job categories do people searching Senior Amazon Data Engineer jobs in Watauga, TX look for?

The top searched job categories for Senior Amazon Data Engineer jobs in Watauga, TX are:

What cities near Watauga, TX are hiring for Senior Amazon Data Engineer jobs?

Cities near Watauga, TX 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 Watauga, TX as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $111,535 per year, or $53.6 per hour.

Senior Data Engineer

Tata Consultancy Service Limited

Dallas, TX • On-site

$110K - $130K/yr

Full-time

Re-posted 13 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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