ZipRecruiter

Log In

1

Dynamodb Jobs in Texas (NOW HIRING)

Petadata

Senior Data Lake Engineer

Dallas, TX · On-site

$105K - $143K/yr

Design and implement integrations between the Data Lake and DynamoDB, optimizing for performance, scale, and consistency. * Security & Compliance: Implement fine-grained access control using Lake ...

New

Donato Technologies, Inc

Java FSD with React

Plano, TX · On-site

$48.75 - $63.25/hr

Java FSD with React Plano TX (With in the State ) Java: 70% React: 30% Experience: 8+ Years Must Have- Core Java, Spring- Spring boot, AWS - Lambda, DynamoDB, ASM, ACM, API Gateway, SNS, SQS, IAM ...

TekCommands Inc

Java AWS Architect

Irving, TX · On-site

$60.50 - $81.50/hr

Databases (AWS Aurora, RDS, DynamoDB, PostgreSQL, MySQL, Oracle, MongoDB, Cassandra, Redis, Elasticsearch) Job Summary We are seeking an experienced Java AWS Architect with strong expertise in ...

Donato Technologies, Inc

AWS Cloud Engineer

Plano, TX · On-site

$53.25 - $71.25/hr

Drive, support, and deliver on a strategy to build broad use of Amazon's utility computing web services (e.g., AWS EC2, AWS S3, AWS RDS, AWS CloudFront, AWS EFS, AWS DynamoDB, CloudWatch, EKS, ECS ...

Info Way Solutions

Senior Software Engineer - AWS

Austin, TX · On-site

$121K - $160K/yr

EC2, S3, Lambda, DynamoDB, etc. • Strong analytical and problem-solving skills, with a keen attention to detail. • Experience with testing frameworks, continuous integration and build tools. • ...

Staffingine LLC

SDET Lead (Telephony)

Dallas, TX · On-site

Experience with AWS Lambda, DynamoDB, and S3 * API Integration and CloudWatch monitoring * IVR Design and Development * IAM (Identity and Access Management) * SDET/Test Automation experience in cloud ...

Info Way Solutions

Senior Java Developer

Austin, TX · On-site

$56.75 - $72.25/hr

... DynamoDB ) • Proficiency in data processing technologies (e.g Kafka, Spark, Flink ) • Experience crafting scalable micro services. • Familiarity with cloud paradigms ( e.g AWS or GCP ) • ...

Amazon

Database Engineer II - AMZ10455015

Austin, TX · On-site

$137K - $168K/yr

Utilize technologies such as Amazon Aurora (PostgreSQL/MySQL), RDS, DynamoDB, S3, Redshift, Apollo, and internal tools like Amazon Pipelines and Brazil Build System. Position Requirements: Bachelor ...

Krest Global Solutions

AWS Connect Developer

Dallas, TX · Remote

$60 - $65/hr

Lambda, API Gateway, Step Functions, DynamoDB, S3, CloudWatch. Preferred Skills · Experience with Amazon Lex, Polly, and Transcribe for conversational AI. · Knowledge of Zoho ecosystem (CRM, Desk ...

IMCS Group

Database Engineer

Irving, TX · On-site

Knowledge of NoSQL databases (e.g., DynamoDB, MongoDB) will be a plus * Exposure to Power BI and its integration with databases will be a plus Employment Type: FULL_TIME

Fidelity Investments

Principal Architect

Westlake, TX · On-site

... DynamoDB. * DE executing metadata management and data modeling while creating complex SQL queries and building data warehouses, data lakes, and Extract, Transform, Load/ Extract, Load, Transform (ETL ...

Fidelity Investments

Principal Architect

Westlake, TX

... DynamoDB. * DE executing metadata management and data modeling while creating complex SQL queries and building data warehouses, data lakes, and Extract, Transform, Load/ Extract, Load, Transform (ETL ...

Programmers.io

Java API testing

Austin, TX · On-site

$50.50 - $65.50/hr

AWS: (EC2, S3, Lambda, RDS, DynamoDB). * Azure: (App Services, Azure Functions, CosmosDB). * GCP: (Compute Engine, Cloud Functions, BigQuery). * Containerization: Strong experience with Docker and ...

Generis Tek Inc

Sr. Full Stack Developer

Plano, TX · On-site

$55 - $60/hr

Experience in AWS Services like - S3, Cloud Front, CloudWatch, API Gateway, Lambda, SNS, SQS, DynamoDB, IAM, Route53... * Advanced knowledge in App Sync Queries * Advanced knowledge in Micro services ...

previous pagenext page

Showing results 21-40

All JobsDynamodb JobsDynamodb Jobs in Texas

Dynamodb information

See Texas salary details

$19.1K

$38.7K

$55.9K

How much do dynamodb jobs pay per year?

As of Sep 2, 2026, the average yearly pay for dynamodb in Texas is $38,711.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,300.00 and $37,300.00 per year, depending on experience, location, and employer.

What is DynamoDB?

DynamoDB is a fully managed NoSQL database service provided by Amazon Web Services (AWS). It offers fast and predictable performance with seamless scalability, allowing users to store and retrieve any amount of data. DynamoDB is designed for high availability and durability, making it a popular choice for web, mobile, gaming, ad tech, IoT, and other applications that require low-latency data access. It supports both key-value and document data structures and integrates easily with other AWS services.

What are some common challenges faced by DynamoDB engineers when designing scalable data models?

DynamoDB engineers often encounter challenges related to designing data models that efficiently handle large-scale workloads while maintaining performance. One common issue is balancing the need for fast queries with the limitations on secondary indexes and partition keys. Additionally, engineers must carefully plan for access patterns and anticipate future scalability needs, as retrofitting data models can be complex. Collaborating closely with application developers and DevOps teams is important to ensure the data model aligns with both business requirements and operational constraints.

What are the key skills and qualifications needed to thrive as an Amazon DynamoDB specialist, and why are they important?

To thrive as an Amazon DynamoDB Specialist, you need a strong background in NoSQL database concepts, data modeling, and AWS cloud infrastructure, often supported by a degree in computer science or related certifications. Proficiency with AWS tools such as DynamoDB, AWS CLI, SDKs, and monitoring systems like CloudWatch is crucial. Analytical thinking, problem-solving, and effective communication stand out as essential soft skills for optimizing performance and collaborating with development teams. These skills ensure scalable, reliable database solutions and seamless integration with cloud-based applications.

What is the difference between Dynamodb vs Data Engineer?

AspectDynamodbData Engineer
Primary RoleNoSQL database management and developmentDesigning, building, and maintaining data pipelines and infrastructure
Required SkillsDatabase design, AWS services, NoSQL conceptsSQL/NoSQL, ETL, programming, cloud platforms
Work EnvironmentCloud-based, database-focusedData warehouses, cloud or on-premises environments
CertificationsAWS certifications (e.g., AWS Certified Database - Specialty)Data engineering certifications (e.g., Google Cloud Professional Data Engineer)

While Dynamodb specializes in managing NoSQL databases within cloud environments, Data Engineers focus on building data pipelines and infrastructure across various platforms. Both roles require knowledge of cloud services, but their core responsibilities differ significantly.

Dynamodb jobs near you
Infographic showing various Dynamodb job openings in Texas as of August 2026, with employment types broken down into 89% Full Time, 3% Part Time, 7% Contract, and 1% Nights. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $38,711 per year, or $18.6 per hour.

Senior Data Lake Engineer

Petadata

Dallas, TX • On-site

$105K - $143K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Overview

Experience: 15+ Years

PETADATA is seeking a seasoned Senior Data Lake Engineer with over 15 years of experience in data engineering and a strong focus on building and managing AWS-native Data Lake solutions. The ideal candidate will have deep expertise with AWS Lake Formation, serverless data processing using Lambda and Python, and experience with AI-assisted development tools such as Amazon Q.

Responsibilities

  • Data Lake Architecture: Design, build, and optimize scalable, secure data lakes using AWS Lake Formation and best practices for data governance, cataloging, and access control.
  • Serverless Development: Build and deploy AWS Lambda functions using Python for real-time data processing, automation, and event-driven workflows.
  • ETL / ELT Pipelines: Develop and maintain robust data pipelines using AWS Glue, integrating data from various structured and unstructured sources.
  • AI Tools for Development: Leverage AI-powered coding tools (such as Amazon Q, GitHub Copilot, or similar) to increase development speed, code quality, and automation.
  • Database Integration: Design and implement integrations between the Data Lake and DynamoDB, optimizing for performance, scale, and consistency.
  • Security & Compliance: Implement fine-grained access control using Lake Formation, IAM policies, encryption, and data masking techniques to meet enterprise and compliance standards (e.g., GDPR, HIPAA).
  • Monitoring & Optimization: Implement logging, monitoring, and performance tuning for Glue jobs, Lambda functions, and data workflows.
  • Collaboration & Leadership: Collaborate with cross-functional teams including data science, analytics, DevOps, and product teams. Provide mentorship and technical leadership to junior engineers.

Position Details

Position: Senior Data Lake Engineer

Location: Dallas, TX (Remote)

Work Type: C2C

Experience: 15+ Years

Note: This role requires strong hands-on skills in AWS Glue, DynamoDB, and building secure, scalable, and automated data platforms that support advanced analytics and machine learning use cases.

Roles & Responsibilities (duplicate sections consolidated)

  • Data Lake Architecture: Design, build, and optimize scalable, secure data lakes using AWS Lake Formation and best practices for data governance, cataloging, and access control.
  • Serverless Development: Build and deploy AWS Lambda functions using Python for real-time data processing, automation, and event-driven workflows.
  • ETL / ELT Pipelines: Develop and maintain robust data pipelines using AWS Glue, integrating data from various structured and unstructured sources.
  • AI Tools for Development: Leverage AI-powered coding tools (such as Amazon Q, GitHub Copilot, or similar) to increase development speed, code quality, and automation.
  • Database Integration: Design and implement integrations between the Data Lake and DynamoDB, optimizing for performance, scale, and consistency.
  • Security & Compliance: Implement fine-grained access control using Lake Formation, IAM policies, encryption, and data masking techniques to meet enterprise and compliance standards (e.g., GDPR, HIPAA).
  • Monitoring & Optimization: Implement logging, monitoring, and performance tuning for Glue jobs, Lambda functions, and data workflows.
  • Collaboration & Leadership: Collaborate with cross-functional teams including data science, analytics, DevOps, and product teams. Provide mentorship and technical leadership to junior engineers.

Required Skills

  • Experience: 15+ years in data engineering roles, with 5+ years focused on AWS-native data lake development.
  • Cloud Expertise: Deep, hands-on expertise in AWS Lake Formation, Glue, Lambda, and DynamoDB.
  • Programming: Proficient in Python, especially for serverless and data processing applications.
  • AI Coding Tools: Experience using AI-assisted development tools (e.g., Amazon Q, GitHub Copilot, AWS CodeWhisperer).
  • Security: Strong knowledge of data security practices in AWS, including IAM, encryption, and compliance standards.
  • Orchestration & Automation: Experience with workflow orchestration tools such as Step Functions, Airflow, or custom AWS-based solutions.
  • Soft Skills: Strong communication, problem-solving, and collaboration skills. Able to lead discussions on architecture and best practices.

Preferred Skills

  • AWS Certifications (e.g., AWS Certified Data Analytics, AWS Certified Solutions Architect)
  • Experience with Athena, Redshift, or other analytics services in the AWS ecosystem
  • Exposure to DevOps practices and tools like Terraform, CloudFormation, or CDK
  • Familiarity with data cataloging and metadata management tools

Education

Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

We offer a professional work environment and provide every opportunity for growth in the Information technology world.

Note

Candidates are required to attend Phone/video calls and in-person interviews. After the Selection, the candidate (He/She) should undergo all background checks on Education and Experience.

Application

Please email your resume to greeshmac@petadata.co. After carefully reviewing your experience and skills, one of our HR team members will contact you on the next steps.

Apply