ZipRecruiter

Log In

1

Director Amazon Data Engineer Jobs in Texas (NOW HIRING)

Tiger Analytics Inc.

Lead Data Engineer - AWS

Dallas, TX · On-site

$101K - $133K/yr

Architect data pipelines using Amazon Bedrock and Amazon SageMaker to build, deploy, and scale ... Serverless Data Engineering: Build highly scalable, event-driven ETL pipelines using AWS Lambda ...

Tiger Analytics Inc.

Lead Data Engineer - AWS

Dallas, TX · On-site +1

$101K - $133K/yr

Architect data pipelines using Amazon Bedrock and Amazon SageMaker to build, deploy, and scale ... Serverless Data Engineering: Build highly scalable, event-driven ETL pipelines using AWS Lambda ...

Hp

Data Solutions - Data Engineer

Spring, TX

$130K - $205K/yr

Preferred Certifications Programming Language/s Certification (SQL, Python, or similar) Knowledge & Skills Agile Methodology Amazon Web Services Apache Hadoop Apache Kafka Apache Spark Big Data ...

Amazon

Software Dev Engineer II - AMZ27491.1

Austin, TX · On-site

$143K - $194K/yr

Amazon Data Services, Inc. Position: Software Dev Engineer II - AMZ27491.1 Location: Austin, TX Multiple Positions Available: Design, develop, implement, test, and document embedded or distributed ...

Moffitt

$89K - $136K/yr

Summary Data Engineer I provides daily support in developing, deploying and maintaining Data ... Amazon Managed Workflows for Apache Airflow (MWAA) setup, configuration, and DAG development for ...

Sally Beauty Holdings

Data Engineer

Plano, TX · Hybrid

$109K - $131K/yr

Beauty Systems Group, branded as Cosmo Prof or Armstrong McCall stores, along with its direct sales ... The Data Engineer is responsible for supporting the design, development, and maintenance of ...

Sally Beauty Holdings

Data Engineer

Plano, TX · Hybrid

$109K - $131K/yr

Data Engineer This position is hybrid working from our Legacy West Support Center located in Plano ... Beauty Systems Group, branded as Cosmo Prof or Armstrong McCall stores, along with its direct sales ...

CosmoProf

Data Engineer

Plano, TX · On-site

$109K - $131K/yr

Data Engineer This position is hybrid working from our Legacy West Support Center located in Plano ... Beauty Systems Group, branded as Cosmo Prof or Armstrong McCall stores, along with its direct sales ...

Sally Holdings LLC

Data Engineer

Plano, TX · On-site

$110K - $132K/yr

Data Engineer This position is hybrid working from our Legacy West Support Center located in Plano ... Beauty Systems Group, branded as Cosmo Prof or Armstrong McCall stores, along with its direct sales ...

New

previous page

Showing results 41-60

All JobsAmazon Data Engineer JobsDirector Amazon Data Engineer JobsDirector Amazon Data Engineer Jobs in Texas

Director Amazon Data Engineer information

What is the difference between Director Amazon Data Engineer vs Data Engineering Manager?

AspectDirector Amazon Data EngineerData Engineering Manager
ResponsibilitiesOversees multiple data engineering teams, sets strategic vision, manages large-scale projectsManages data engineering teams, ensures project delivery, implements best practices
Required SkillsAdvanced data architecture, leadership, strategic planning, cloud expertiseTechnical data engineering skills, team management, project coordination
CertificationsAWS certifications, data architecture certifications often preferredSimilar certifications, including AWS and data management certifications
Work EnvironmentExecutive-level, cross-team collaboration, strategic planningTeam-focused, project execution, technical problem-solving

The main difference between a Director Amazon Data Engineer and a Data Engineering Manager lies in scope and strategic focus. The Director typically oversees multiple teams and sets long-term data strategies, while the Manager focuses on day-to-day project management and technical leadership within a team.

What does a director of Amazon data engineering do?

A director of Amazon data engineering oversees the design, development, and management of large-scale data systems and pipelines within Amazon. They lead teams of data engineers, ensure data quality and security, and collaborate with other departments to support data-driven decision-making using tools like AWS, Spark, and Hadoop. This role typically requires strong technical expertise, leadership skills, and experience with cloud-based data platforms.

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 Director Amazon Data Engineer jobs in Texas?

For Director Amazon Data Engineer jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Director Amazon Data Engineer jobs in Texas look for?

The top searched job categories for Director Amazon Data Engineer jobs in Texas are:

What cities in Texas are hiring for Director Amazon Data Engineer jobs?

Cities in Texas with the most Director Amazon Data Engineer job openings:

Director Amazon Data Engineer jobs near you

Asset&Wealth Management-Senior Cloud Data Engineer-Vice President-Dallas

Goldman Sachs, Inc.

Dallas, TX • On-site

$113K - $136K/yr

Full-time

Re-posted 18 days ago

Goldman Sachs rating

8.3

Company rating: 8.3 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

47th of 171 rated banks

Job description


WM Data Engineering - Senior Cloud Data Engineer - Vice President
Who We Look For:
Goldman Sachs Engineers are innovators and problem-solvers, building solutions for various divisions. We look for creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment.
We are seeking a high-caliber, hands-on Senior Cloud Data Engineer. While you will provide architectural guidance, your primary impact will come from hands-on engineering: building production-ready data pipelines, containerizing microservices for Amazon ECS, and executing the technical migration of legacy on-premises systems to AWS.
Key Responsibilities:
  1. Hands-on Pipeline & Microservices Migration:
    • Active Migration Execution: Directly execute the migration of legacy ETL and microservices to AWS. This includes refactoring monolithic code into containerized services and deploying them to Amazon ECS (Fargate/EC2).
    • Containerization & Orchestration: Build and maintain Docker images, write complex ECS Task Definitions, and configure service-to-service communication using Amazon ECS Service Connect and AWS Cloud Map.
    • Data Pipeline Engineering: Develop end-to-end data flows using AWS Glue (PySpark), Amazon EMR, and Snowflake. Implement "Lakehouse" patterns using Apache Iceberg to ensure data portability.
  2. Infrastructure & Automation-as-Code
    • IaC Development: Write and maintain production-grade Terraform or AWS CDK modules to provision VPCs, ECS clusters, and RDS instances. Ensure all infrastructure is version-controlled and deployed via GitHub Actions or GitLab CI.
    • AI-Augmented Coding: Actively use AI coding assistants (e.g., GitHub Copilot) to refactor legacy SQL, generate unit tests, and automate the creation of boilerplate pipeline code.
    • Toil Reduction: Identify manual bottlenecks in the migration process and build custom automation tools in Python or Go to streamline data validation and schema conversion.
  3. Technical Leadership & Reliability
    • Code Reviews & Standards: Lead rigorous peer code reviews, enforcing standards for performance, security (IAM least privilege), and maintainability.
    • Observability Implementation: Hands-on configuration of Amazon CloudWatch Container Insights, and OpenTelemetry to ensure deep visibility into migrated microservices and data jobs.
    • Performance Tuning: Directly optimize Spark job configurations, Snowflake warehouse sizing, and ECS auto-scaling policies to balance performance.

Qualifications:
Technical Requirements
  • Experience: 8+ years of hands-on experience in Data Engineering and Cloud Infrastructure, with a focus on building and migrating production workloads.
  • AWS ECS Expertise: Deep technical expertise in Amazon ECS (Fargate/EC2), including networking (ALB/NLB), task placement strategies, and container security.
  • Data Platform Expertise: Proven experience with modern data platforms such as Snowflake (AI Data Cloud) and cloud-native services. Good understanding of open-source table formats, specifically Apache Iceberg, to enable interoperability, schema evolution, and high-performance analytics across multiple engines.
  • Programming: Expert-level proficiency in Java, Python and SQL.
  • Big Data & Orchestration: Hands-on experience with Spark, Kafka, and orchestration tools like Apache Airflow, Dagster, or dbt.
  • Data Modeling: Deep understanding of data warehousing and modern data lakehouse architecture.

Leadership & Soft Skills
  • Mentorship: Proven track record of upskilling junior engineers.
  • Communication: Ability to explain complex technical concepts to non-technical stakeholders in the wealth management business.
  • Problem Solving: A "builder" mindset with the ability to navigate ambiguity in a fast-paced environment.

Education
  • Bachelor's or Master's degree in computer science, Engineering, Mathematics, or a related field.

What Goldman Sachs employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Goldman Sachs logo

About Goldman Sachs

Sourced by ZipRecruiter

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1869

View All Goldman Sachs Jobs

Apply