ZipRecruiter

Log In

2

Remote Ai Data Engineer Jobs in Silver Spring, MD

Bigbear.ai

Data Engineer

Mclean, VA · Remote

$142K - $190K/yr

Overview The Data Engineer builds and maintains the source adapters and normalization logic that ... This position is remote but will require travel in the DMV area. Responsibilities * Build source ...

ResolveSoft Inc

Be Seen First

Data Engineer

Washington, DC · Remote

$98K - $128K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Remote Position Summary The Data Engineer / Data Project Lead provides technical leadership for ... Experience in applying AI or advanced analytics in data pipelines. * Demonstrated ability to ...

Booz Allen Hamilton, Inc.

ETL Data Engineer

Mclean, VA · On-site +1

$62K - $141K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: No Job Number: R0241379 Location: McLean,VA,US Share job via: Share ETL Data Engineer ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

Analytica

Data Engineer

Washington, DC · On-site +1

$129K - $155K/yr

Analytica is seeking a Databricks Data Engineer to support a high-profile program for a financial ... AI tools may help identify skills and experiences relevant to the role. * Interview Support: AI ...

Analytica

Data Engineer

Washington, DC · Remote

$117K - $140K/yr

  • Medical

  • Retirement

Analytica is seeking a Databricks Data Engineer to support a high-profile program for a financial ... AI tools may help identify skills and experiences relevant to the role. * Interview Support: AI ...

Booz Allen Hamilton, Inc.

Data Engineer, Senior

Chantilly, VA · On-site +1

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: No Job Number: R0243548 Location: Chantilly,VA,US Share job via: Share Data Engineer ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

@Orchard

AI Engineer - Gen AI & NLP

Washington, DC · Remote

$120K - $230K/yr

Artificial Intelligence AI Engineer - Gen AI, NLP Talent Pool for upcoming assignments Remote, Work ... Your responsibilities as a Data Engineer. * Design and implement GenAI-powered solutions (LLMs ...

Actif.ai

Senior Data Engineer

Washington, DC · On-site +1

$120K - $163K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The Company Actifai is an AI company helping broadband and telecom providers optimize high-value ... The Position The Actifai Data Engineering team needs great engineers to architect and build the ...

Actif.ai

Senior Data Engineer

Washington, DC · Remote

$108K - $147K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The Company Actifai is an AI company helping broadband and telecom providers optimize high-value ... The Position The Actifai Data Engineering team needs great engineers to architect and build the ...

previous pagenext page

Showing results 21-40

All JobsAi Data Engineer JobsRemote Ai Data Engineer JobsRemote Ai Data Engineer Jobs in Silver Spring, MD

Remote Ai Data Engineer information

See Silver Spring, MD salary details

$46K

$134.1K

$183.5K

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

As of Aug 18, 2026, the average yearly pay for remote ai data 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 a remote AI data engineer?

A Remote AI Data Engineer is a professional who designs, builds, and maintains data pipelines and infrastructure to support artificial intelligence (AI) and machine learning (ML) projects, all while working from a remote location. They are responsible for collecting, cleaning, transforming, and storing large datasets, ensuring data quality and accessibility for AI applications. These engineers collaborate with data scientists, software engineers, and stakeholders to deliver data solutions that power intelligent systems, often leveraging cloud technologies and distributed computing. Their work enables organizations to harness data for predictive analytics, automation, and decision-making—without being tied to a physical office.

What are the key skills and qualifications needed to thrive as a remote AI data engineer?

To thrive as a Remote AI Data Engineer, you need strong programming skills (Python, SQL), a solid understanding of data structures, machine learning principles, and typically a degree in computer science or related fields. Familiarity with big data platforms (such as Hadoop or Spark), cloud services (AWS, GCP, or Azure), and experience with AI/ML frameworks like TensorFlow or PyTorch are commonly required. Excellent problem-solving, communication, and self-motivation skills help you collaborate effectively and manage projects independently in a remote setting. These skills and qualities ensure robust AI data pipelines, effective model deployment, and seamless teamwork across distributed environments.

What are some common challenges faced by remote AI data engineers, and how can they be addressed?

Remote AI Data Engineers often encounter challenges such as coordinating with cross-functional teams across different time zones, ensuring data security when accessing sensitive datasets remotely, and maintaining effective communication for project updates. To address these, it's important to establish clear protocols for data sharing, leverage collaboration tools (like Slack or Jira), and schedule regular check-ins to align with team goals. Adopting strong version control practices and automated testing can also help streamline workflows and minimize errors in a distributed environment.

What is the difference between Remote Ai Data Engineer vs Data Scientist?

AspectRemote Ai Data EngineerData Scientist
Required CredentialsBachelor's in CS, Data Engineering, or related; experience with cloud platformsBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentData pipelines, cloud infrastructure, codingData analysis, statistical modeling, visualization
Employer & Industry UsageTech companies, AI firms, startupsResearch institutions, tech companies, finance
Common Search & ComparisonYesYes

Remote Ai Data Engineers focus on building and maintaining data pipelines and infrastructure for AI applications, requiring skills in data engineering and cloud platforms. Data Scientists analyze data, develop models, and generate insights. While both roles work with data, Data Engineers prepare the data environment, whereas Data Scientists interpret and model the data. They often collaborate but serve different functions in AI and data projects.

What are popular job titles related to Remote Ai Data Engineer jobs in Silver Spring, MD?

For Remote Ai Data Engineer jobs in Silver Spring, MD, the most frequently searched job titles are:

What job categories do people searching Remote Ai Data Engineer jobs in Silver Spring, MD look for?

The top searched job categories for Remote Ai Data Engineer jobs in Silver Spring, MD are:

What cities near Silver Spring, MD are hiring for Remote Ai Data Engineer jobs?

Cities near Silver Spring, MD with the most Remote Ai Data Engineer job openings:

Remote Ai Data Engineer jobs near you

Data Engineer

Bigbear.ai

Mclean, VA • Remote

$142K - $190K/yr

Full-time

Posted 6 days ago

Job description

Overview

The Data Engineer builds and maintains the source adapters and normalization logic that translate raw data from disparate systems into a common risk-signal schema. This role focuses on reliable ingestion and transformation—turning heterogeneous legacy inputs (APIs, feeds, databases, files, and event streams) into consistent, high-quality signals that downstream scoring and adjudication workflows can trust.

This position is remote but will require travel in the DMV area.


Responsibilities

  • Build source adapters/connectors to ingest data from APIs, legacy systems, databases, and event streams
  • Develop normalization and mapping logic to translate source-specific fields into the common risk-signal schema (including validation, enrichment, and standardization)
  • Implement ETL/ELT pipelines with strong engineering rigor: testing, observability, error handling, retries, and backfills
  • Produce and consume streaming events (e.g., Kafka topics) to support near-real-time signal delivery and downstream processing
  • Partner with data architecture and domain SMEs to define and maintain data contracts, mappings, and lineage from source to normalized signal
  • Ensure data quality and consistency (deduplication patterns, schema evolution handling, and reconciliation against source systems)
  • Optimize pipeline performance and reliability (throughput, latency, and scalable processing patterns)
  • Create and maintain technical documentation for adapters, transformations, and operational runbooks
  • Some travel may be required within the DMV area

Qualifications

  • Clearance: Must maintain an active Top Secret security clearance
  • Bachelor's Degree and 8 to 10 years of experience; Master's Degree and 6 to 8 years of experience
  • 3–5 years of experience in data engineering, including building production-grade ingestion and transformation pipelines.
  • Strong experience with API integrations and ETL/ELT development in complex environments.
  • Experience integrating heterogeneous and/or legacy systems with inconsistent schemas and data quality.
  • Proficiency in Python or Java for building data services and transformation logic.
  • Solid SQL skills and working familiarity with NoSQL data stores.
  • Experience with REST/API frameworks and building maintainable, well-tested integration services.
  • Hands-on experience producing/consuming events in Kafka (producers/consumers) or an equivalent event streaming platform
  • IC/DoD experience