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Senior Data Platform Engineer Jobs in Virginia (NOW HIRING)

Mpr Associates, Inc.

Data Platform Engineer

Alexandria, VA

$122K - $147K/yr

General Join our engineering team as a Data Platform Engineer where you'll build robust data processing applications and analytics solutions. We're looking for someone who thrives at the intersection ...

Mpr Associates, Inc.

Data Platform Engineer

Alexandria, VA · On-site

$122K - $147K/yr

General Join our engineering team as a Data Platform Engineer where you'll build robust data processing applications and analytics solutions. We're looking for someone who thrives at the intersection ...

Mpr Associates, Inc.

Data Platform Engineer

Alexandria, VA · On-site

$122K - $147K/yr

General Join our engineering team as a Data Platform Engineer where you'll build robust data processing applications and analytics solutions. We're looking for someone who thrives at the intersection ...

Clark Group

Senior Data Platform Architect

Mclean, VA · On-site

$140 - $190/hr

We are seeking a Senior Data Platform Architect to serve as a lead architect and guardian of our ... Basic Qualifications 7-10+ years in data engineering, enterprise integration, or platform ...

Five Guys

Data Platform Engineer (Azure)

Alexandria, VA · Remote

$120K - $125K/hr

The Data Platform Engineer (Azure) is responsible for building, automating, and operating the infrastructure that supports the organization's enterprise data platform. This role ensures data ...

Five Guys

Data Platform Engineer (Azure)

Alexandria, VA · On-site

$56.50 - $77.25/hr

The Data Platform Engineer (Azure) is responsible for building, automating, and operating the infrastructure that supports the organization's enterprise data platform. This role ensures data ...

Five Guys

Data Platform Engineer (Azure)

Alexandria, VA · On-site

$56.50 - $77.25/hr

The Data Platform Engineer (Azure) is responsible for building, automating, and operating the infrastructure that supports the organization's enterprise data platform. This role ensures data ...

Dexian DISYS

Lead Data Platform Engineer

Arlington, VA · On-site

$131K - $158K/yr

Provide senior technical guidance on platform changes, ensuring new data pipelines and sources ... Establish engineering standards for code review, testing, deployment, and documentation for both ...

Dexian DISYS

Lead Data Platform Engineer

Arlington, VA · On-site

$131K - $158K/yr

Provide senior technical guidance on platform changes, ensuring new data pipelines and sources ... Establish engineering standards for code review, testing, deployment, and documentation for both ...

Under Armour

Sr. Data Analytics Engineer

Richmond, VA · On-site

$113K - $136K/yr

Sr. Data Analytics Engineer Sr. Data Analytics Engineer Values & Innovation At Under Armour, we are ... Work closely with Enterprise Data Analysts, Data Platform Engineers, Data Governance Team within ...

Under Armour

Sr. Data Analytics Engineer

Richmond, VA · On-site

$113K - $136K/yr

Sr. Data Analytics Engineer Sr. Data Analytics Engineer Values & Innovation At Under Armour, we are ... Work closely with Enterprise Data Analysts, Data Platform Engineers, Data Governance Team within ...

Umbra

Staff Data Platform Engineer

Reston, VA · On-site

$119K - $143K/yr

About the Job We are seeking a Senior/Staff Data Platform Engineer to lead our data infrastructure architecture. The individual filling this position will collaborate with product owners and ...

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Senior Data Platform Engineer information

What does a senior data platform engineer do?

A Senior Data Platform Engineer is responsible for designing, building, and maintaining large-scale data platforms that support an organization's data analytics and processing needs. They work with various technologies to ensure data is collected, stored, and accessible efficiently and securely. Their role often involves optimizing data pipelines, managing databases, ensuring data quality, and collaborating with data scientists and analysts to deliver reliable data solutions. In addition, they help set best practices and mentor junior engineers on the team.

How does a senior data platform engineer typically collaborate with data scientists and analysts within an organization?

A Senior Data Platform Engineer works closely with data scientists and analysts to understand their data needs and ensure the platform supports efficient data access, processing, and analysis. This often involves designing and implementing data pipelines, optimizing data storage solutions, and ensuring data quality and integrity. Regular communication is essential to align on data requirements, troubleshoot issues, and roll out new platform features that enhance analytical capabilities. Collaboration frequently occurs through agile ceremonies, project meetings, and shared documentation to ensure all stakeholders are aligned and productive.

What are the key skills and qualifications needed to thrive as a senior data platform engineer, and why are they important?

To thrive as a Senior Data Platform Engineer, you need deep expertise in data architecture, database management, ETL design, and programming languages like Python or Java, typically supported by a bachelor's degree in computer science or related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Spark or Hadoop), and certifications in relevant technologies are commonly required. Strong problem-solving, collaboration, and communication skills set top performers apart in this role. These competencies are essential for building robust, scalable data systems that support business intelligence and data-driven decision-making.

What is the difference between Senior Data Platform Engineer vs Data Engineer?

AspectSenior Data Platform EngineerData Engineer
CredentialsBachelor's/Master's in CS, Data Science, or related; often certifications in cloud platformsBachelor's in CS, Software Engineering, or related; certifications in data tools are common
Work EnvironmentDesigning, building, and maintaining large-scale data platforms; working with cloud servicesDeveloping data pipelines, ETL processes, and data storage solutions
Industry UsageUsed across tech, finance, healthcare, and retail for managing data infrastructureCommonly employed in similar industries for data processing and integration

The Senior Data Platform Engineer focuses on designing and maintaining scalable data platforms, often with cloud expertise, while Data Engineers primarily develop data pipelines and ETL processes. Both roles require strong technical skills and are vital in data-driven organizations, but the Senior Data Platform Engineer typically has a broader scope and more strategic responsibilities.

What are the most commonly searched types of Data Platform Engineer jobs in Virginia?

The most popular types of Data Platform Engineer jobs in Virginia are:

What cities in Virginia are hiring for Senior Data Platform Engineer jobs?

Cities in Virginia with the most Senior Data Platform Engineer job openings:

Senior Data Platform Engineer jobs near you

Data Platform Engineer

Bright Vision Technologies

Reston, VA • On-site

$100 - $150/hr

Other

Posted 16 days ago

Key responsibilities

  • Design, build, and operate high-performance, highly reliable inference platforms for serving large machine learning models in production.

  • Focus on systems engineering tasks such as request routing, batching, caching, autoscaling, GPU utilization, and end-to-end observability across diverse model workloads.

  • Apply expertise in distributed systems, performance engineering, and ML serving to ensure system efficiency, scalability, and reliability.

Job description

Data Platform Engineer - Remote

Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.

This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.

Job Title: Data Platform Engineer

Location: 100% Remote (United States)

Position Type: Full-time, Direct W2

Salary Range: $100,000-$150,000 Annually

Experience: 6+ years

Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position.

Job Summary: We are seeking a Data Platform Engineer to design, build, and operate high-performance, highly reliable inference platforms for serving large machine learning models in production. The role focuses on the systems engineering side of AI deployment, including request routing, batching, caching, autoscaling, GPU utilization, and end-to-end observability across diverse model workloads. The ideal candidate brings strong distributed systems and performance engineering expertise, has shipped serving systems at scale, and understands the trade-offs between latency, throughput, cost, and quality in ML serving.

Required Qualifications
  • Bachelor’s or Master’s degree in Computer Science or a related field.
  • Six or more years of experience in distributed systems, infrastructure, or ML platform engineering.
  • Strong proficiency in Python and a systems language such as Go, Rust, or C++.
  • Deep experience operating high-throughput, low-latency services in production.
  • Hands-on experience with LLM or large model inference frameworks such as vLLM or TensorRT-LLM.
  • Strong understanding of GPU architecture, memory hierarchies, and accelerator utilization.
  • Familiarity with Kubernetes, autoscaling, and modern cloud platforms.
  • Experience with observability stacks including metrics, tracing, and structured logging.
  • Solid grounding in performance engineering and capacity planning.
  • Strong communication and incident response skills.
Preferred Qualifications
  • Open-source contributions to model serving infrastructure.
  • Experience with multi-region or globally distributed AI serving.
  • Familiarity with model quantization, distillation, and compression techniques.
  • Exposure to FinOps for AI workloads and cost-efficient serving design.
  • Experience supporting external-facing AI APIs at scale.

Bright Vision Technologies is an Equal Opportunity Employer.

Equal Employment Opportunity (EEO) Statement

Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.

BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.

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