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Remote Cloud Data Engineer Jobs in Maryland (NOW HIRING)

Deloitte

$58.50 - $76/hr

Dein Impact: Als Senior Cloud Data Platform Engineer (m/w/d) gestaltest, entwickelst ... B. Vertrauensarbeitszeit und EU Remote Working Vielfaltige Gestaltungsspielraume und aktive ...

T Rowe Price

Lead Data Engineer

Baltimore, MD · On-site +1

$113K - $136K/yr

Experience with cloud data platforms (AWS, Snowflake), preferably within a regulated industry ... Work Flexibility This role is eligible for full time remote work.

CareFirst

Lead Data Engineer (Remote)

Baltimore, MD · Remote

$113K - $136K/yr

The Lead Data Engineer will drive the modernization and evolution of CareFirst's data ecosystem, helping establish reusable data products, cloud-native engineering patterns, automated data pipelines ...

Magpie Health Analytics

Data Engineer

Baltimore, MD · On-site +1

$113K - $136K/yr

We are seeking a Data Engineer to support the development of cloud-native data solutions that improve operational efficiency, support regulatory reporting, and drive actionable insight for our ...

Magpie Health Analytics

Data Engineer

Baltimore, MD · On-site +1

$113K - $136K/yr

We are seeking a Data Engineer to support the development of cloud-native data solutions that improve operational efficiency, support regulatory reporting, and drive actionable insight for our ...

BDR Solutions LLC

Data Engineer - Senior

Hyattsville, MD · On-site +1

$110K - $170K/yr

BDR Solutions is seeking a seasoned Cloud Data Engineering Lead to support IRS data platform initiatives, focusing on secure, scalable architecture and tenant onboarding within a Databricks and AWS ...

Blend360

Lead Data Engineer

Columbia, MD · On-site +1

$125K - $160K/yr

The ideal candidate brings strong hands-on engineering expertise, deep knowledge of cloud-native data platforms, and experience leading technical implementation efforts in complex enterprise health ...

Index Analytics

Data Engineer

Baltimore, MD · On-site +1

$126K - $142K/yr

Exposure to ETL pipeline development, cloud-based data migration, and the implementation of data ... Apply data engineering principles to develop reusable workflows for data ingestion, quality ...

VIVA USA INC

Data Engineer

MD · On-site +1

$114K - $137K/yr

Remote - onshore/near-shore (this means we expect the resource is remote and located outside of the ... Collaborate with AI/ML teams to create reusable feature stores and training pipelines. 6. Cloud ...

SMX

Cleared Hybrid Data Engineer (5418)

Hanover, MD · On-site +1

$103K - $171K/yr

Experience with cloud data warehouses such as Snowflake and AWS Redshift. * Familiarity with ... Exposure to DevOps/CI-CD patterns for data workflows * MuleSoft implementation experience

Manulife

Data Engineer

California, MD · On-site +1

$137K/yr

Migrate legacy data architectures to Azure and AWS leveraging cloud-native services for scalability ... This position is eligible for fully remote work from any location in the United States. Minimum ...

Deloitte

$103K - $140K/yr

Als Senior Consultant Cloud Data Engineering /Azure / GCP (m/w/d) stiftest du echten Mehrwert fur ... B. Vertrauensarbeitszeit und EU Remote Working Vielfaltige Gestaltungsspielraume und aktive ...

Index Analytics

Data Engineer

Windsor Mill, MD · On-site +1

$121K - $163K/yr

This role blends advanced data engineering with hands-on cloud solutions engineering, leveraging AWS, Snowflake, and modern DevOps practices. The ideal candidate has experience delivering high ...

Index Analytics

Sr. Data Engineer

Baltimore, MD · On-site +1

$129K - $178K/yr

This role blends advanced data engineering with hands-on cloud solutions engineering, leveraging AWS, Snowflake, and modern DevOps practices. The ideal candidate has experience delivering high ...

TeamWorx Security, LLC.

Senior Data Engineer

Columbia, MD · Remote

$105K - $142K/yr

Location:Fully Remote, United States Position Type: Full-Time Clearance: U.S. citizenship is ... with Google Cloud Platform. Success in this role requires initiative, ownership, and clear ...

Deloitte

$58.50 - $76/hr

... und Cloud-(Daten)-Plattformen, einschlielich Container-Technologien (z.B. Kubernetes ... B. Vertrauensarbeitszeit und EU Remote Working Vielfaltige Gestaltungsraume und aktive Forderung ...

Deloitte

... Generative KI, Cloud Data Engineering (z.B. AWS, Azure, GCP), Databricks Erfolgreich ... B. Vertrauensarbeitszeit und EU Remote Working Vielfaltige Gestaltungsraume und aktive Forderung ...

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Remote Cloud Data Engineer information

What is a remote cloud data engineer?

A Remote Cloud Data Engineer is a technology professional who designs, builds, and maintains data infrastructure and pipelines in cloud environments, such as AWS, Azure, or Google Cloud, while working from a remote location. They are responsible for ensuring data is efficiently collected, stored, and made accessible for analysis and applications. Their role often involves using tools like SQL, Python, and cloud-based services to manage big data workflows. By working remotely, they collaborate with distributed teams using digital communication and project management tools.

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

To thrive as a Remote Cloud Data Engineer, you need expertise in data engineering, cloud platforms (like AWS, Azure, or Google Cloud), and proficiency in programming languages such as Python or SQL, often supported by a degree in computer science or a related field. Familiarity with tools like Apache Spark, ETL pipelines, cloud storage solutions, and relevant certifications (e.g., AWS Certified Data Analytics) is highly valued. Strong problem-solving abilities, attention to detail, and effective remote communication skills help you excel in collaborative and distributed work environments. These skills ensure you can design, build, and maintain scalable data solutions that meet business needs efficiently and securely.

How does a remote cloud data engineer typically collaborate with cross-functional teams?

As a Remote Cloud Data Engineer, you will frequently collaborate with data scientists, software engineers, and business analysts to design, build, and optimize cloud-based data solutions. Communication is often facilitated through virtual meetings, collaborative project management tools, and shared documentation platforms. Success in this role depends on your ability to articulate technical concepts clearly to non-technical stakeholders and align your work with broader business objectives. Being proactive in updates and seeking feedback helps ensure smooth coordination and project progress.

What are popular job titles related to Remote Cloud Data Engineer jobs in Maryland?

For Remote Cloud Data Engineer jobs in Maryland, the most frequently searched job titles are:

What job categories do people searching Remote Cloud Data Engineer jobs in Maryland look for?

The top searched job categories for Remote Cloud Data Engineer jobs in Maryland are:

What cities in Maryland are hiring for Remote Cloud Data Engineer jobs?

Cities in Maryland with the most Remote Cloud Data Engineer job openings:

Remote Cloud Data Engineer jobs near you
Infographic showing various Remote Cloud Data Engineer job openings in Maryland as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 10% Part Time, and 8% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution.

Data Engineer - ML/AI Data Platform (Remote)

FEI Systems

Columbia, MD • On-site, Remote

$111K - $133K/yr

Full-time

Re-posted 17 hours 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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