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Remote Data Platform Engineer Jobs in Silver Spring, MD

Pondurance

Senior Platform Engineer

Mclean, VA · On-site +1

$105K - $145K/yr

... REMOTE About the Role: As a Senior Platform Engineer, you will play a key role in supporting and enhancing our AI-driven backend systems while delivering and maintaining our core MDR data pipeline.

Pondurance

Senior Platform Engineer

Mclean, VA · Remote

$107K - $146K/yr

... REMOTE About the Role: As a Senior Platform Engineer, you will play a key role in supporting and enhancing our AI-driven backend systems while delivering and maintaining our core MDR data pipeline.

Maximus

Cloud Platform Engineer

VA · On-site +1

$56 - $74.75/hr

This is a remote position. Maximus is a trusted federal partner supporting mission-critical ... ensuring data protection, recovery readiness, and compliance with enterprise and federal ...

T Rowe Price

Lead Data Engineer

Baltimore, MD · On-site +1

$113K - $136K/yr

Lead the design, development, and maintenance of Enterprise data platform and solutions, analytics ... Work Flexibility This role is eligible for full time remote work.

Maximus

M365 Platform Engineer

VA · On-site +1

General information Job Posting Title M365 Platform Engineer Date Wednesday, June 3, 2026 City Remote Country United States Working time Full-time Description & Requirements Maximus is a trusted ...

Maximus

Mobility Platform Engineer

VA · On-site +1

The role is remote. Maximus TCS (Technology and Consulting Services) Internal Job Profile Code: TCS219, T3, Band 6 The Mobility Platform Engineer supports enterprise mobility services by providing ...

Maximus

Mobility Platform Engineer

Springfield, VA · On-site +1

The role is remote. Maximus TCS (Technology and Consulting Services) Internal Job Profile Code: TCS219, T3, Band 6 The Mobility Platform Engineer supports enterprise mobility services by providing ...

X Energy LLC

AI Platform Engineer

Rockville, MD · On-site +1

... platform (APEX). The DevOps Engineer will work with the AI and Application Development team to ... Administer and optimize AWS data services including DocumentDB, OpenSearch, Redis, Aurora Postgres ...

Team Velocity

Senior Data Engineer

Herndon, VA · Remote

$150K - $195K/yr

We are seeking a Senior Data Engineer to design, develop, and scale the data platform that powers ... Experience working in a remote-first environment. COMPENSATION Compensation commensurate on ...

Team Velocity

Senior Data Engineer

Herndon, VA · On-site +1

$150K - $195K/yr

We are seeking a Senior Data Engineer to design, develop, and scale the data platform that powers ... Experience working in a remote-first environment. COMPENSATION Compensation commensurate on ...

System One

Senior Platform Engineer

Mclean, VA · Remote

$107K - $146K/yr

Remote Employment Type: Full Time Work Authorization: Must be authorized to work in the United ... Platform Engineer to support a federal health technology program. This role will focus on building ...

System One

Senior Platform Engineer

Mclean, VA · Remote

$107K - $146K/yr

Remote Employment Type: Full Time Work Authorization: Must be authorized to work in the United ... Platform Engineer to support a federal health technology program. This role will focus on building ...

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All JobsData Platform Engineer JobsRemote Data Platform Engineer JobsRemote Data Platform Engineer Jobs in Silver Spring, MD

Remote Data Platform Engineer information

See Silver Spring, MD salary details

$46K

$134.1K

$183.5K

How much do remote data platform engineer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for remote data platform engineer in Silver Spring, MD is $134,098.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,400.00 and $142,100.00 per year, depending on experience, location, and employer.

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

AspectRemote Data Platform EngineerData Engineer
CredentialsBachelor's in CS, Data Science, or related; experience with cloud platformsBachelor's in CS, Data Science, or related; experience with databases and ETL tools
Work EnvironmentRemote or hybrid, collaborating with data teams and cloud providersOn-site or remote, focusing on data pipelines and infrastructure
Industry UsageTech, finance, healthcare, and other data-driven sectorsSame industries, often overlapping roles
Search & Comparison IntentHigh overlap, often searched together due to similar skills

The Remote Data Platform Engineer focuses on building and maintaining cloud-based data platforms, ensuring scalability and performance. Data Engineers develop and manage data pipelines, databases, and ETL processes. While roles overlap in skills and industries, the Platform Engineer emphasizes cloud infrastructure, whereas Data Engineers concentrate on data processing and storage.

What are the key skills and qualifications needed to thrive as a Remote Data Platform Engineer, and why are they important?

To thrive as a Remote Data Platform Engineer, you need expertise in data engineering, database management, and cloud platforms, usually supported by a degree in computer science or a related field. Familiarity with tools such as SQL, Python, Spark, AWS, Azure, and certifications like AWS Certified Data Analytics are highly valued. Strong problem-solving, communication, and self-motivation skills help you excel in remote, collaborative environments. These skills and qualities ensure the efficient design, operation, and scaling of robust data platforms that drive business insights and operations.

What are the typical collaboration methods for a Remote Data Platform Engineer working with cross-functional teams?

As a Remote Data Platform Engineer, you will frequently collaborate with data scientists, analysts, and software engineers through virtual meetings, project management tools, and shared documentation platforms. Effective communication is essential, as much of the teamwork happens asynchronously using tools like Slack, Jira, and Confluence. You may participate in regular stand-ups, sprint planning, and code reviews to ensure alignment across the team. Building strong relationships remotely often involves proactive updates and clear documentation to keep all stakeholders informed and projects moving smoothly.

What is a Remote Data Platform Engineer?

A Remote Data Platform Engineer is a professional who designs, builds, and manages large-scale data infrastructure and platforms, while working remotely. They are responsible for ensuring data is efficiently collected, stored, processed, and made accessible for analysis, often using cloud technologies and big data tools. These engineers collaborate with data scientists, analysts, and other engineers to maintain data pipelines and optimize system performance. Their work enables organizations to leverage data for business insights, all while enjoying the flexibility of remote work.
What are the most commonly searched types of Data Platform Engineer jobs in Silver Spring, MD? The most popular types of Data Platform Engineer jobs in Silver Spring, MD are:
What are popular job titles related to Remote Data Platform Engineer jobs in Silver Spring, MD? For Remote Data Platform Engineer jobs in Silver Spring, MD, the most frequently searched job titles are:
What job categories do people searching Remote Data Platform Engineer jobs in Silver Spring, MD look for? The top searched job categories for Remote Data Platform Engineer jobs in Silver Spring, MD are:
What cities near Silver Spring, MD are hiring for Remote Data Platform Engineer jobs? Cities near Silver Spring, MD with the most Remote Data Platform Engineer job openings:
Remote Data Platform Engineer jobs near you
Data Engineer - ML/AI Data Platform (Remote)

Data Engineer - ML/AI Data Platform (Remote)

FEI Systems

Columbia, MD • On-site, Remote

$111K - $133K/yr

Full-time

Re-posted 4 days ago

Job description

At FEI Systems, we create innovative technology solutions to improve the delivery of health and human services because we know when cumbersome administrative processes stand in the way, those who need it most are often left without access to proper care and support. From comprehensive case management software to disaster recovery services and content management information systems used in delivering foreign aid, our solutions are improving the lives of millions of people. We're looking for a data engineer who shares our commitment to leveraging technology to make a real impact in the world - a professional who knows, beyond all else, that the quality of our products and services is only as good as the company we keep.
All candidates will be required to complete at least one in-person interview as part of our hiring process.
Role Overview
We are seeking a Data Engineer to support Machine Learning and AI initiatives. Working closely with the Solution Architect, Data Architect, DevOps, and Application Engineering teams, this role is responsible for ensuring that data within our cloud-based platform is high quality, well-governed, feature-ready, and production-grade to support model training, deployment, and ongoing operations.
The ideal candidate has 5+ years of cloud data engineering experience with strong proficiency in Snowflake, Python, and SQL, and solid familiarity with AWS-native data services.
Candidates are not expected to arrive with expertise across every area listed. We are looking for demonstrated strength in the core data engineering and Snowflake skills, combined with the initiative and aptitude to grow into the broader scope of the role.
Day-One Priorities & Scope
Immediate focus is Snowflake-based data engineering, pipeline development, and data quality. Feature engineering, model training support, and MLOps contributions are growth areas that will ramp over time as you become embedded with the team.
Key Responsibilities
Data Pipeline Engineering
  • Design, build, and maintain scalable data pipelines supporting ML/AI workloads.
  • Engineer pipeline patterns including full loads, incremental loads, change-based loads, and slowly changing dimensions.
  • Ensure pipelines are reliable, performant, secure, and maintainable, troubleshoot and monitor pipelines within an AWS ecosystem.

Snowflake & Cloud Data Engineering
  • Perform data transformations in Snowflake using SQL and native Snowflake features.
  • Design and optimize schemas, tables, views, and materialized views for ML/AI consumption.
  • Support AWS-native data lake patterns using S3, Glue, Athena, Apache Iceberg, and S3 Tables.

Feature Engineering & Data Preparation
  • Perform data cleansing, normalization, and enrichment to support ML model development.
  • Design and implement feature engineering pipelines including aggregation and transformation.
  • Ensure consistency, reuse, and versioning of features across models and use cases.
  • Support feature store patterns to enable feature discoverability and reuse.
  • Collaborate with ML engineers and data scientists to operationalize features into training pipelines.

Model Training & MLOps Support
  • Support model training workflows, including dataset preparation and scheduled refreshes.
  • Ensure training datasets and features are reproducible, traceable, and auditable.
  • Integrate data pipelines into CI/CD workflows; support version control, testing, and deployment of data assets.
  • Monitor pipeline health, data freshness, and downstream impact on ML/AI systems.

Required Skills & Experience
5+ years of hands-on data engineering experience in a cloud environment.
Core Technologies
  • Python - strong proficiency for data processing and pipeline development.
  • SQL - advanced skills with hands-on Snowflake transformation experience.
  • Snowflake - ELT pipeline design, schema optimization, performance tuning, cost management.
  • PostgreSQL - experience with querying, data modeling, and analytics; familiarity with SQL Server to PostgreSQL migration a plus.
  • AWS - S3, Glue, Athena, Snowflake integration, and managed relational databases (e.g., Aurora, RDS).
  • Apache Iceberg / S3 Tables - familiarity with open table format ecosystems.
  • Streaming ingestion tools (e.g., Kinesis, Kafka, or equivalent).
  • Workflow orchestration tools (e.g., Airflow, Step Functions, or equivalent).

Pipeline & Data Engineering
  • Experience with full loads, incremental loads, append-only pipelines, change-based processing, and SCDs.
  • Data validation, reconciliation, error handling, and restart/recovery patterns.
  • Data modeling for analytics, ML/AI, and downstream application use cases.
  • Ability to evaluate pipeline design trade-offs across performance, cost, reliability, and maintainability.

DevOps & Engineering Practices
  • Structured SDLC experience with CI/CD pipelines for data and ML workflows.
  • API-based and event-driven data integration patterns.
  • Distributed data processing environments.

ML/AI Data Foundations
  • Understanding of data requirements for ML/AI workloads.
  • Experience preparing training datasets and features from enterprise data lakes.
  • Familiarity with reproducibility, dataset versioning, and data lineage concepts.
  • Familiarity with GenAI concepts relevant to data engineering, such as embedding pipelines, vector databases, retrieval-augmented generation (RAG) data flows, or prompt-driven data processing - including awareness of data security and privacy considerations when working with LLMs.

Education
Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related technical field. Equivalent professional experience will be considered.
Location: Remote
Status: Full time position with full company benefits.
NOTICE: EO/AA/VEVRAA/Disabled Employer - Federal Contractor. FEI Systems participates in E-Verify, a federal program that enables employers to verify the identity and employment eligibility of all persons hired to work in the United States by providing the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS), with information from each new employee's Form I-9 to confirm work authorization. For more information on E-Verify, please contact DHS at (888) 464-4218.
Applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, marital status, political affiliation, disability, or genetic information, except where it relates to a bona fide occupational qualification or requirement. FEI Systems creates an Affirmative Action Plan on an annual basis. Pursuant to federal law, the portions of FEI Systems' Affirmative Action Program that relate to Section 503 (Persons with Disabilities) and/or Section 4212 (Protected Veterans), are available for inspection upon request by applicants and employees during FEI Systems' normal business hours.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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