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As of Jul 14, 2026, the average hourly pay for java training placement in Dallas, TX is $56.09, according to ZipRecruiter salary data. Most workers in this role earn between $48.51 and $62.79 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Java Training Placement position, and why are they important?

To thrive in a Java Training Placement, candidates need a strong foundation in Java programming, object-oriented concepts, and basic software development practices, often demonstrated through coursework, projects, or a technical degree. Familiarity with Integrated Development Environments (IDEs) like Eclipse or IntelliJ IDEA, version control systems like Git, and certifications such as Oracle Certified Associate (OCA) Java SE can enhance your profile. Effective communication, eagerness to learn, and strong problem-solving abilities are crucial soft skills in this setting. These competencies ensure you can rapidly absorb new concepts, collaborate on development tasks, and contribute to real-world project environments.

What kind of projects or practical experience can I expect during a Java Training Placement?

During a Java Training Placement, you can expect hands-on involvement with a range of real-world projects, including developing Java applications, working on bug fixes, and implementing new features under the guidance of experienced mentors. You'll typically collaborate in a team environment, using industry-standard tools and methodologies such as Agile or Scrum. This practical experience helps you build a robust portfolio and better prepares you for full-time software development roles. Additionally, you may have opportunities to participate in code reviews, attend training sessions, and receive feedback to accelerate your learning and growth. These experiences are designed to bridge the gap between academic learning and professional software engineering work.

What is a Java Training Placement job?

A Java Training Placement job is a program that provides training in Java programming, often followed by job placement assistance. These programs are designed for beginners or those looking to upskill in Java development. Participants typically learn core Java concepts, frameworks like Spring, and tools such as Git and Maven. Upon completion, many programs offer job placement support through resume building, interview preparation, and connections with hiring companies.

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Java Training Placement jobs near you
Infographic showing various Java Training Placement job openings in Dallas, TX as of July 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 100% In-person job distribution, with an average salary of $116,662 per year, or $56.1 per hour.
Asset&Wealth Management-Senior Cloud Data Engineer-Vice President-Dallas

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

Goldman Sachs, Inc.

Dallas, TX

$113K - $136K/yr

Other

Re-posted 15 days ago

Goldman Sachs rating

8.2

Company rating: 8.2 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

44th of 149 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.
ABOUT GOLDMAN SACHS

 
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. Learn more about our culture, benefits, and people at GS.com/careers. 

 
We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html

 

 
The Goldman Sachs Group, Inc., 2023. All rights reserved.
Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.

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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

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