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Vice President Sql Data Engineer Jobs (NOW HIRING)

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SQL Data Analyst

Tampa, FL · Remote

Data Analyst III Contract | Remote (EST Only) Duration: 6 Months (Contract-to-Hire Potential) Start ... Programming experience in one or more of the following: * C# * Java * Python * SQL * Excellent ...

New

AGS

VP of Data & Analytics

Las Vegas, NV · On-site

Job Overview The VP of Data & Analytics is the senior leader responsible for AGS's entire data ... Strong data engineering foundations - deep enough technical understanding to review architecture ...

BNY

Vice President, Database Engineer

Pittsburgh, PA · On-site

74971 - Vice President, Database Engineer At BNY, our culture allows us to run our company better ... PL/SQL development and advanced SQL skills * Strong data engineering capability with real-world ...

BNY

Vice President, Database Engineer

Pittsburgh, PA

We're seeking a future team member for the role of Vice President, Database Engineer to join our ... PL/SQL development and advanced SQL skills * Strong data engineering capability with real-world ...

Polar IT Services

AWS Data Engineer

Roanoke, VA · On-site +1

$112K - $134K/yr

They will also need to be able to use SQL to analyze data to identify trends, patterns, and ... EVP This role can sit 100% remote in approved states. Also, may extend or could have the ...

Virtusa

SQL Data Analyst

Manhattan, NY · On-site

... SQL Developer ,Toad. • Understanding of security concepts and implementing Oracle data security. • Experience in PROD issue analysis, troubleshooting , root cause identification and code fixes ...

Chasm Select

VP Cloud Data Engineering

New York, NY · On-site +1

$196K - $253K/yr

Description ChasmTeam Confidential Search - VP Cloud Data Engineering November 10, 2025 About the Role: As our VP of Engineering, you will be at the helm of our cutting-edge engineering teams ...

Chasm Select

VP Cloud Data Engineering

New York, NY · Remote

$184K - $237K/yr

ChasmTeam Confidential Search - VP Cloud Data Engineering November 10, 2025 About the Role: As our VP of Engineering, you will be at the helm of our cutting-edge engineering teams, driving innovation ...

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How much do vice president sql data engineer jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for vice president sql data engineer in the United States is $64.42, according to ZipRecruiter salary data. Most workers in this role earn between $57.69 and $73.56 per hour, depending on experience, location, and employer.

What is the difference between Vice President Sql Data Engineer vs Data Architect?

AspectVice President Sql Data EngineerData Architect
Required CredentialsBachelor's/Master's in CS, Data Engineering certificationsBachelor's/Master's in CS, Data Modeling certifications
Work EnvironmentExecutive leadership, strategic planningDesigning data systems, technical implementation
Employer & Industry UsageLarge corporations, tech firms, financeTech companies, consulting firms, enterprises

The Vice President Sql Data Engineer focuses on strategic leadership and overseeing data engineering teams, while the Data Architect specializes in designing and implementing data systems. Both roles require strong technical skills and industry experience, but differ in scope and responsibilities.

What cities are hiring for Vice President Sql Data Engineer jobs? Cities with the most Vice President Sql Data Engineer job openings:
What are the most commonly searched types of Sql Data Engineer jobs? The most popular types of Sql Data Engineer jobs are:
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Vice President Sql Data Engineer jobs near you
Infographic showing various Vice President Sql Data Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $134,000 per year, or $64.4 per hour.

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

Goldman Sachs, Inc.

Dallas, TX • On-site

$113K - $136K/yr

Full-time

Re-posted 8 days ago

Goldman Sachs rating

8.3

Company rating: 8.3 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

48th of 170 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.

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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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