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Amazon Computer Science Jobs in Dallas, TX (NOW HIRING)

Senior Financial Analyst, NACF

Irving, TX · On-site

$82K - $102K/yr

Amazon's North American Customer Fulfillment (NACF) Finance is looking for a Senior Financial ... math, computer science) PREFERRED QUALIFICATIONS - 4+ years of participating in continuous ...

C++ Developer

Dallas, TX · On-site

$48.50 - $65.25/hr

... Nice to haves (Top 3 ranked in importance) 1. Amazon former 2. generator AI experience 3. ... computer science / related fields

... Computer Science or Engineering Strong problem-solving skills within sophisticated, distributed ... functions and Amazon Dynamo DB Practical experience with containerization and Kubernetes ...

Network Deployment Lead, DCC Communities

Dallas, TX · On-site

$100K - $138K/yr

... Computer Science, or a related field - Experience in computer networking - Experience working with ... Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final ...

New

... g., Computer Science, Network Engineering), or experience in professional or military IT-related ... Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final ...

... g., Computer Science, Network Engineering), or experience in professional or military IT-related ... Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final ...

... g., Computer Science, Network Engineering), or experience in professional or military IT-related ... Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final ...

... g., Computer Science, Network Engineering), or experience in professional or military IT-related ... Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final ...

... g., Computer Science, Network Engineering), or experience in professional or military IT-related ... Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final ...

Showing results 41-60

Amazon Computer Science information

What is an Amazon Computer Science?

An Amazon Computer Science job typically involves designing, developing, and optimizing software and systems that support the company's vast technology infrastructure. These roles can include software development, machine learning, data science, and cloud computing, among others. Employees work on scalable and innovative solutions for e-commerce, AWS, artificial intelligence, and logistics. Strong programming skills, problem-solving abilities, and knowledge of algorithms and data structures are essential.

What do Amazon Computer Science professionals do?

Computer Science professionals at Amazon often work on designing and optimizing large-scale software systems, developing new features for customer-facing applications, or improving backend infrastructure. Daily tasks might include writing high-quality code, reviewing peers’ code, participating in design discussions, and collaborating with cross-functional teams such as product managers, UX designers, and data scientists. You may also be expected to contribute to ongoing process improvements and explore innovative solutions for performance and scalability. The work is fast-paced and encourages creative problem-solving, giving professionals the chance to impact millions of customers globally.

What skills and qualifications are needed for an Amazon Computer Science position?

To thrive in an Amazon Computer Science role, you need a strong background in computer science principles, programming (such as Java, C++, or Python), and a relevant degree in computer science or a related field. Familiarity with Amazon Web Services (AWS), distributed systems, and possibly certifications like AWS Certified Solutions Architect are often beneficial. Strong analytical thinking, problem-solving abilities, and effective communication skills help you collaborate in Amazon's fast-paced, team-oriented environment. These competencies are vital for creating innovative solutions, scaling complex systems, and meeting the high-performance standards at Amazon.

Does Amazon hire computer science majors?

Yes, Amazon hires computer science majors for a variety of roles including software development, data engineering, and technical program management. Candidates typically need strong programming skills in languages like Java, Python, or C++, along with relevant coursework or experience in algorithms and systems design.

What are the most commonly searched types of Amazon Computer Science jobs in Dallas, TX?

The most popular types of Amazon Computer Science jobs in Dallas, TX are:

What are popular job titles related to Amazon Computer Science jobs in Dallas, TX?

For Amazon Computer Science jobs in Dallas, TX, the most frequently searched job titles are:

What job categories do people searching Amazon Computer Science jobs in Dallas, TX look for?

The top searched job categories for Amazon Computer Science jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Amazon Computer Science jobs?

Cities near Dallas, TX with the most Amazon Computer Science job openings:

Infographic showing various Amazon Computer Science job openings in Dallas, TX as of August 2026, with employment types broken down into 77% Full Time, and 23% Contract. Highlights an 94% In-person, and 6% Remote job distribution.

Principal Software Engineer/Developer

Fidelity Investments

Westlake, TX • On-site

$129K - $173K/yr

Full-time

Re-posted 16 days ago


Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 272 frontline employees who took The Breakroom Quiz

16th of 151 rated financial services


Job description


Note: Fidelity will not provide immigration sponsorship for this position.
Position Description:
Designs, develops, and maintains highly available, scalable, and distributed data platforms and applications using Snowflake, Oracle, SnapLogic, Unix shell scripting, Python, Control M, AWS services, and open source frameworks. Designs and implements business solutions that support the processing of high volume, high velocity, and diverse structured and unstructured data. Supports multiple critical use cases that enable business analytics. Monitors end-to-end data operations, including data ingestion, data cleansing, and timely data processing. Drives data warehouse modernization initiatives and supports DevOps functions within the Enterprise Data Lake (EDL) environment to enhance reliability, scalability, and operational efficiency. Uses business knowledge to translate the vision for divisional initiatives into business solutions by developing complex or multiple software applications and conducting studies of alternatives. Analyzes and recommends changes in project development policies, procedures, standards, and strategies to development experts and management.
Primary Responsibilities:
  • Develops and maintains tools and platforms that support the overall data ecosystem.
  • Participates in architecture design teams.
  • Defines and implements application-level architecture.
  • Develops applications on complex projects, components, and subsystems for the division.
  • Recommends development testing tools and methodologies and reviews and validates test plans.
  • Responsible for QA readiness of software deliverables.
  • Develops comprehensive documentation for multiple applications or subsystems.
  • Establishes full project life cycle plans for complex projects across multiple platforms.
  • Responsible for meeting project goals on time and on-budget.
  • Advises on risk assessment and risk management strategies for projects.
  • Plans and coordinates project schedules and assignments for multiple projects.
  • Acts as a primary liaison for business units to resolve various project/technology issues.
  • Provides technology solutions to daily issues and technical evaluation estimates on technology initiatives.
  • Advises senior management on technical strategy.
  • Mentors junior team members.
  • Performs independent and complex technical and functional analysis for multiple projects supporting several divisional initiatives.
  • Develops original and creative technical solutions to on-going development efforts.

Education and Experience:
Bachelor's degree in Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and five (5) years of experience as a Principal Software Engineer/Developer (or closely related occupation) designing and developing cloud-native data pipelines, data processing workflows, and analytics solutions using AWS services within big data and distributed data engineering environments for financial and health care domains.
Or, alternatively, Master's degree in Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and three (3) years of experience as a Principal Software Engineer/Developer (or closely related occupation) designing and developing cloud-native data pipelines, data processing workflows, and analytics solutions using AWS services within big data and distributed data engineering environments for financial and health care domains.
Skills and Knowledge:
Candidate must also possess:
  • Demonstrated Expertise ("DE") designing and implementing enterprise data warehousing and analytics solutions using Oracle, Snowflake, and Amazon RDS; performing data modeling, OLTP/OLAP design, and writing complex SQL queries to support cloud-based analytical workloads; developing and maintaining end-to-end ETL pipelines using Informatica and SnapLogic; executing data extraction, transformation, and loading workflows using Python scripting; and orchestrating batch processes and enterprise schedules using Control M and Cron jobs.
  • DE designing, developing, and deploying cloud native data engineering and analytics solutions on AWS using Amazon S3, Amazon EMR, AWS Lambda, Amazon SQS (queues), and Amazon SNS (pub/sub), including AWS IAM for access control, AWS KMS for encryption, and Amazon RDS for PostgreSQL as the relational store-native data engineering and analytics solutions on AWS using Amazon S3, Amazon EMR.
  • DE performing performance tuning and cost optimization for large-scale data processing workflows; implementing automated testing and code coverage strategies using industry standard tools including Jenkins, GitHub, PyTest, Unittest, Great Expectations, Coverage.py, and SonarQube to ensure quality and reliability within enterprise data engineering environments - coverage strategies using industry standard tools.

#PE1M2
#LI-DNI
Fidelity's Onsite Working Model
Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.
Certifications:
Category:
Information Technology
Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

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