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Remote Databricks Data Engineer Jobs in Maryland

eSimplicity

Data Engineer II

Columbia, MD · On-site

$93K - $100K/yr

Background integrating LLM services with large-scale analytics environments (e.g., Databricks ... Working Environment : eSimplicity supports a remote work environment operating within the Eastern ...

NinjaOne

Senior Data Software Engineer

Baltimore, MD · On-site +1

$121K - $160K/yr

Location - We are flexible on remote working from home, if you are located in the USA and reside in ... Build dashboards and reports in Tableau and Databricks to expose key data points and trends to ...

NinjaOne

Senior Data Software Engineer

Baltimore, MD · On-site +1

$121K - $160K/yr

Location - We are flexible on remote working from home, if you are located in the USA and reside in ... Build dashboards and reports in Tableau and Databricks to expose key data points and trends to ...

Deloitte

Databricks Manager

Baltimore, MD · On-site +1

... engineering teams and modernizing technology & data platforms. Our delivery models are tailored to ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

Global Alliant Inc

AI Engineer

Columbia, MD · On-site +1

Remote/Hybrid (subject to contract requirements) Clearance: Must be eligible to obtain and maintain ... Knowledge of HIPAA, healthcare data governance, and federal compliance requirements * Experience ...

Ariadne

NCBI Data Engineer

Bethesda, MD · On-site +1

$122K - $146K/yr

Overview Ariadne is searching for a Data Engineer to support our work at the attheNational ... This opportunity is full time at the NIH in Bethesda, MD and/or remote work. Educational ...

TEKsystems

Senior Data Engineer

Baltimore, MD · Remote

$80 - $85/hr

W2 ONLY, NO C2C 100% REMOTE, EST HOURS Data Engineer Preferred Qualifications • Logic Apps • Azure Function App • Microservice Architecture • Background and knowledge of .NET REST Api • ...

Under Armour

Sr. Data Analytics Engineer

Baltimore, MD · On-site +1

$125K - $165K/yr

As a Senior Data Engineer, you will design and implement data analytics pipelines, develop high ... REMOTE #HYBRID Relocation * No relocation provided Base Compensation $125,000.00-$165,000.00 USD ...

Ex Parte, Inc

Data QA Engineer

Bethesda, MD · On-site +1

$122K - $146K/yr

We are is looking for talented, enthusiastic senior data engineers who share our passion for big ... Applied experience with Databricks and/or Azure ML * Strong coding abilities in one or more ...

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All JobsRemote Databricks Data Engineer JobsRemote Databricks Data Engineer Jobs in Maryland

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 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.

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.
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Remote Databricks Data Engineer jobs near you

QA Automation Engineer - Enterprise Data & AI

Priwils

Adelphi, MD • On-site, Remote

Full-time

Posted 19 days ago

Key responsibilities

  • Execute and extend automated tests within Databricks using PySpark, Python, SQL, and notebooks to validate data pipelines.

  • Perform data reconciliation between source systems and target datasets and validate ingestion processes including batch and incremental loads.

  • Develop and maintain reusable and scalable test scripts aligned with existing frameworks and integrate tests within CI/CD pipelines.

Job description

Role Summary:
We are seeking a QA Automation Engineer / SDET to support quality engineering for our Enterprise Data Platform. This role will focus on validating data pipelines and extending existing data quality frameworks within Databricks, ensuring data accuracy, quality, completeness, and reliability across the data lifecycle. This role will play a key part in implementing, enhancing, and executing data validation and data quality checks across the medallion architecture.
Key Responsibilities:
  • Execute and extend existing automated tests within Databricks using PySpark, Python, SQL, and notebooks to validate data pipelines
    This is complete Remote role - within the United States
  • Perform data reconciliation between source systems and target datasets
  • Validate ingestion processes including batch and incremental loads
  • Test transformations, joins, aggregations, and business rules for accuracy
  • Extend and enhance existing data quality frameworks and rule sets
  • Implement validation checks for data completeness, accuracy, consistency, and quality.
  • Validate thresholds, alerts, and exception handling mechanisms
  • Support tracking of data quality metrics and trends
  • Develop and maintain reusable and scalable test scripts aligned with existing frameworks
  • Integrate and execute tests within CI/CD pipelines (e.g., Azure DevOps)
  • Support testing activities across environments (QA, Staging)
  • Ensure consistent and reliable execution of automated tests
  • Partner closely with Data Engineers and Data Quality Engineers to identify, troubleshoot, and resolve data issues
  • Participate in Agile ceremonies and contribute to sprint deliverables
  • Support defect triage, root cause analysis, and retesting
  • Ensure data accuracy and consistency for downstream consumption and business reporting in data visualization tools such as Tableau.

Required Skills & Expertise:
  • 5+ years of experience in data validation, QA engineering, or SDET roles
  • Hands-on experience with creating Databricks notebooks and data pipeline validation
  • Strong proficiency in PySpark, Python, SQL, and Databricks notebooks
  • Experience working with and extending existing data validation or data quality frameworks
  • Strong experience in data reconciliation and large-scale data validation
  • Experience executing tests within CI/CD pipelines (e.g., Azure DevOps)
  • Strong analytical and problem-solving skills
  • Experience with tools such as Azure Purview and Profisee MDM is preferred.

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