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Remote Databricks Data Engineer Jobs in Maryland

ActioNet

Data Engineer |

Suitland, MD · On-site +1

$123.40K - $148.20K/yr

This position is Hybrid - with on-site support in Suitland, MD and REMOTE. Federal position ... Experience with data platforms like Cube, Athena, Redshift, Apache Spark, Databricks, Palantir ...

Ad Hoc LLC

Data Engineer III

Silver Spring, MD · Remote

$118.40K - $142.10K/yr

Data Engineer III This is a remote position. Ad Hoc is a technology company that empowers ... Databricks/Apache Spark Certification(s) 4. SAS experience To learn more about working at Ad Hoc ...

RELI Group Inc.

Lead Data Engineer

Baltimore, MD · On-site +1

$140K - $170K/yr

Following the migration to Databricks, MIDAS is entering a critical platform hardening phase ... The Lead Data Engineer is responsible for defining how the work is executed - not just completing ...

RELI Group

Lead Data Engineer

Baltimore, MD · On-site +1

$140K - $170K/yr

Following the migration to Databricks, MIDAS is entering a critical platform hardening phase ... The Lead Data Engineer is responsible for defining how the work is executed - not just completing ...

Deloitte

Databricks Engineer

Baltimore, MD · On-site +1

... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a Databricks Engineer on the AI & Data team, you will be responsible for... * Build, configure, and ...

Analytica

Data Engineer

Bethesda, MD · On-site +1

$122.50K - $147.20K/yr

This role is a remote opportunity. Analytica has been recognized by Inc. for 3 consecutive years as ... Exposure to Databricks or modern lakehouse platforms * CI/CD pipeline experience (Jenkins, GitHub ...

INDEX ANALYTICS LLC

Sr. Data Engineer

Baltimore, MD · Remote

$116.40K - $139.70K/yr

The Sr. Data Engineer plays a key role in modernizing the organization's data ecosystem by helping ... Strong proficiency in AWS services, Snowflake, Databricks * Strong proficiency in GitHub for source ...

Index Analytics

Sr. Data Engineer

Baltimore, MD · On-site +1

$129.20K - $178.50K/yr

The Sr. Data Engineer plays a key role in modernizing the organization's data ecosystem by helping ... Strong proficiency in AWS services, Snowflake, Databricks * Strong proficiency in GitHub for source ...

Sabre Systems LLC

Data Scientist

Patuxent River, MD · On-site +1

This Data Engineer will primarily involve migrating code for data science projects from Cloudera Data Science Workbench (CDSW) to Databricks. The candidate will design, build, and maintain robust ...

Ex Parte, Inc

Lead Data Engineer

Bethesda, MD · On-site +1

$122.20K - $146.80K/yr

... and Databricks • Develop technical architectures and specific implementations to meet business needs. • Guide the team's software engineering best practices by documenting standards and ...

Analytica

Senior Data Architect

Bethesda, MD · On-site +1

$71.75 - $96/hr

The Data Architect will play a hands-on role in modernizing data environments, leveraging cloud-native technologies, Databricks, and advanced data engineering frameworks to ensure scalable, secure ...

Ex Parte, Inc

Senior Data Engineer

Bethesda, MD · On-site +1

$113.10K - $153.70K/yr

We are is looking for talented, enthusiastic senior data engineers who share our passion for big ... Work with Azure cloud and Databricks • Develop technical architectures and specific ...

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Remote Databricks Data Engineer information

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

To thrive as a Remote Databricks Data Engineer, you need a solid background in data engineering, strong programming skills in Python or Scala, and experience with big data frameworks, often supported by a degree in computer science or a related field. Proficiency with Databricks, Apache Spark, cloud platforms (such as AWS or Azure), and relevant certifications like Databricks Certified Data Engineer are highly valuable. Strong problem-solving abilities, effective remote communication, and collaboration skills set top performers apart in distributed teams. These skills and qualities ensure efficient data pipeline development, seamless integration, and successful project delivery in remote environments.

What are some common challenges faced by remote Databricks Data Engineers and how can they be addressed?

Remote Databricks Data Engineers often encounter challenges such as coordinating efficiently with distributed teams, managing access to secure data environments, and ensuring smooth pipeline deployments across different cloud platforms. To overcome these, it's important to leverage communication tools for regular check-ins, follow strict data governance protocols, and utilize collaborative features in Databricks such as shared notebooks and version control. Proactively documenting your work and staying updated with platform updates can also help streamline remote collaboration and problem-solving.

What is a Remote Databricks Data Engineer?

A Remote Databricks Data Engineer is a professional who designs, develops, and manages large-scale data processing systems using the Databricks platform, often working from a remote location. They focus on building data pipelines, integrating data sources, and optimizing workflows for analytics and machine learning, leveraging tools like Apache Spark within Databricks. These engineers collaborate with data scientists, analysts, and other stakeholders to ensure data is accessible, reliable, and scalable for business needs. Remote roles offer flexibility in work location while still requiring strong communication and technical skills.
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Remote Databricks Data Engineer jobs near you
Data Engineer (MongoDB/Databricks with DevOps)

Data Engineer (MongoDB/Databricks with DevOps)

Cuboid IT Solutions

Laurel, MD • On-site, Remote

$117.40K - $140.90K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Greetings!
Hope you are doing well !
Position - Data Engineer (MongoDB/Databricks with DevOps)
Visas - USC , GC , GC- EAD and H1B
Duration - 12+ Months Contract
Location - Maryland USA( Hybrid)
Experience - 5-9 Years
Need Local to MD, VA, DC
Cuboid is looking for Data Engineer Consultants for a 12+ month project located in Remote - Local To MD, VA, DC (Hybrid)
Experience: 8-9+ years
Job Description :-
Job Summary
Responsibilities:
Design, implement, and maintain MongoDB data models and schemas for real-time event-driven processing.
Develop and optimize data pipelines and workflows using Databricks.
Create and manage MongoDB databases to serve as authoritative transactional data stores for online processing.
Collaborate with software engineers to integrate MongoDB solutions into applications.
Implement and manage CI/CD pipelines for MongoDB and Databricks workflows.
Automate data infrastructure provisioning and management using infrastructure as code (IaC) tools.
Monitor and optimize MongoDB performance, ensuring scalability and reliability.
Ensure data security and compliance with IRS standards, implementing necessary security measures.
Develop technical documentation, including data models, data dictionaries, and data flow diagrams.
Provide support for data migration and integration from legacy systems to MongoDB.
Conduct performance tuning and index optimization for MongoDB databases.
Manage data replication and backup strategies to ensure data availability and integrity.
Execute tasks to support environments within AWS Gov Cloud or Treasury Cloud.
Provide data engineering design activities to modernize legacy functionality into event-driven and business rules orchestrated services.
Develop and assess logical and physical designs.
Analyze legacy system use cases, features, and functionality that should be built into the modernized system for requirement support.
Qualifications:
Bachelor's degree in Computer Science, Information Technology, or a related field.
At least 5 years of experience in data engineering, with a focus on MongoDB database management and optimization.
Expert in NoSQL (MongoDB) database management and optimization.
Proficient in data modeling techniques and database architecture principles, particularly for MongoDB.
Strong experience with Databricks for data analytics and pipeline development.
Knowledge of data pipeline orchestration and scheduling.
Deep understanding of data security and compliance requirements.
Knowledge of legacy data formats such as QSAM and VSAM.
Experience with big data technologies is a plus.
Experience modernizing data stores.
Proficiency in CI/CD tools, scripting, and automation.
Experience with infrastructure as code (IaC) and configuration management tools.
Strong analytical and problem-solving skills.
Excellent communication and collaboration skills.
Must have or be able to obtain an MBI (Minimum Background Investigation) clearance.

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