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Remote Azure Data Factory Jobs in Maryland (NOW HIRING)

$103K - $140K/yr

Azure Data Factory, Synapse, Databricks, BigQuery, Dataproc, Cloud Composer) und DevOps, CI/CD ... B. Vertrauensarbeitszeit und EU Remote Working Vielfaltige Gestaltungsspielraume und aktive ...

Experience with Databricks, Azure Data Factory, or ETL platforms. * Experience supporting web applications, APIs, and backend services. * Familiarity with Azure Monitor, Log Analytics, and ...

Understanding of Cloud-centric data processing and visualization approaches including SQL and NoSQL databases with exposure to Azure SQL, Azure Cosmos DB, Data Factory, Synapse, Azure Data Lake, etc

Sr. Data Engineer

Gaithersburg, MD · Remote

$123K - $148K/yr

Design and maintain secure data ingestion pipelines using Azure Data Factory, API Management, and SFTP * Development and implementation of the data anomaly detection system, which will be hosted on ...

Data QA Engineer

Bethesda, MD

$122K - $146K/yr

Understanding of Cloud-centric data processing and visualization approaches including SQL and NoSQL databases with exposure to Azure SQL, Azure Cosmos DB, Data Factory, Synapse, Azure Data Lake, etc

Senior Data Analyst (Remote)

Baltimore, MD · Remote

$85K - $107K/yr

Strong knowledge of cloud data platforms and analytical environments, including Snowflake, Microsoft Fabric, Azure Data Factory (ADF), and related healthcare data ecosystems. * Expert understanding ...

Data Engineer

Baltimore, MD · On-site

$126K - $142K/yr

Proficiency with ETL tools such as Informatica, Talend, Azure Data Factory, or dbt * Experience with cloud-based governance frameworks and implementation * Experience with automation or scripting (E ...

Experience with Azure Data Factory, AWS Glue, or similar data integration platforms. * Experience with workflow management tools like Apache Airflow. * Hands-on experience with AWS, GCP, or Azure ...

Data Engineer

MD · On-site +1

$114K - $137K/yr

Familiarity with cloud platforms like Azure or AWS, including storage, security, and networking aspects. Knowledge of data warehouse design and star/snowflake schema modeling. Notes: 100% remote VIVA ...

Lead Data Engineer (Remote)

Baltimore, MD · Remote

$113K - $136K/yr

Knowledge of cloud data platforms and engineering technologies including Snowflake, Azure Data Services, event-driven architectures, and modern orchestration tooling. * Ability to establish ...

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 ...

... Azure, AWS, GCP, Databricks oder Snowflake. Automatisierung: Du unterstutzt bei der Nutzung und ... Remote Working, Sabbaticals, Mitarbeiter:innen-Events, Well-being Angebote wie z. B.

Data Security Consultant

California, MD · On-site +1

$130K - $150K/yr

... Azure. * Cross-functional collaboration - Partner with technology teams, risk management ... remote (if non-local) or hybrid work arrangement where you'll spend 2 days per week on-site in ...

Data Security Consultant

California, MD · On-site +1

$130K - $150K/yr

... Azure. * Cross-functional collaboration - Partner with technology teams, risk management ... remote (if non-local) or hybrid work arrangement where you'll spend 2 days per week on-site in ...

$130K - $150K/yr

... Azure. * Cross-functional collaboration - Partner with technology teams, risk management ... remote (if non-local) or hybrid work arrangement where you'll spend 2 days per week on-site in ...

$130K - $150K/yr

... Azure. * Cross-functional collaboration - Partner with technology teams, risk management ... remote (if non-local) or hybrid work arrangement where you'll spend 2 days per week on-site in ...

... Azure, GCP, Databricks, Snowflake, Collibra, Informatica, etc.) vermittelt Darauf setzen ... EU Remote Working, Sabbaticals, Mitarbeiter:innen-Events, Well-being Angebote wie z B.

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Remote Azure Data Factory information

What is a remote Azure Data Factory professional?

A Remote Azure Data Factory professional is an IT specialist who designs, builds, and manages data integration solutions using Microsoft Azure Data Factory while working from a remote location. They create and manage data pipelines to move and transform data between various sources and destinations in the cloud. These professionals often collaborate with data engineers, analysts, and business stakeholders to ensure data is accessible, secure, and reliable for analytics and reporting needs.

What are some common challenges faced by remote Azure Data Factory professionals, and how can they be addressed?

Remote Azure Data Factory professionals often encounter challenges related to communication and collaboration, especially when integrating data from multiple sources across different teams. To address this, it's essential to establish clear documentation practices, utilize collaboration tools such as Microsoft Teams, and schedule regular check-ins with stakeholders. Additionally, proactively managing data pipeline failures and ensuring security compliance in a remote setting requires strict adherence to best practices and close coordination with IT and security teams. Building a strong support network and maintaining open lines of communication are key to overcoming these challenges and succeeding in the role.

What are the key skills and qualifications needed to thrive as a remote Azure Data Factory engineer, and why are they important?

To thrive as a Remote Azure Data Factory Engineer, you need strong expertise in data integration, ETL processes, and cloud-based data solutions, typically supported by experience in Microsoft Azure and a relevant technical degree. Proficiency in Azure Data Factory, SQL, Power BI, and familiarity with other Azure services or certifications (such as Azure Data Engineer Associate) is highly beneficial. Excellent problem-solving, communication, and time management skills are crucial for effective remote collaboration and troubleshooting. These competencies ensure efficient data pipeline development, seamless data flow, and the ability to deliver robust analytics solutions in distributed environments.

What is the difference between Remote Azure Data Factory vs Remote Data Engineer?

AspectRemote Azure Data FactoryRemote Data Engineer
CredentialsAzure certifications, data integration skillsData engineering certifications, cloud platform knowledge
Work EnvironmentCloud-based, primarily using Azure platformCloud and on-premises environments, broader tech stack
Industry UsageData integration, ETL workflows in AzureData pipeline development, database management
Search & Comparison IntentFocus on specific tool (Azure Data Factory)Broader data engineering roles

Remote Azure Data Factory specialists focus on designing and managing data workflows within the Azure platform, often requiring specific certifications. Remote Data Engineers have a broader scope, building and maintaining data pipelines across various environments. While both roles involve data integration, Azure Data Factory roles are more tool-specific, whereas Data Engineers encompass a wider range of technologies and responsibilities.

What are the most commonly searched types of Azure Data Factory jobs in Maryland?

The most popular types of Azure Data Factory jobs in Maryland are:

What are popular job titles related to Remote Azure Data Factory jobs in Maryland?

For Remote Azure Data Factory jobs in Maryland, the most frequently searched job titles are:

What job categories do people searching Remote Azure Data Factory jobs in Maryland look for?

The top searched job categories for Remote Azure Data Factory jobs in Maryland are:

What cities in Maryland are hiring for Remote Azure Data Factory jobs?

Cities in Maryland with the most Remote Azure Data Factory job openings:

Infographic showing various Remote Azure Data Factory job openings in Maryland as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Senior Consultant Data Engineering / Azure / GCP (m/w/d)

Deloitte

On-site, Remote

$103K - $140K/yr

Full-time

Posted 5 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 93 frontline employees who took The Breakroom Quiz

46th of 152 rated financial services


Job description

Du willst im Bereich Consulting - Artificial Intelligence and Data Kunden helfen, strategische Entscheidungen zu AI & Data zu treffen. Unser Team unterstutzt von der Definition der AI & Data-Strategie uber die Implementierung gro angelegter Datenplattformen und Visual Analytics Programme bis hin zu Einfuhrung smarter "Age of With"-Losungen. Sichere unseren gemeinsamen Erfolg und mach mit uns den Unterschied: als Senior Consultant Cloud Data Engineering / Azure / GCP (m/w/d).

Standorte: Berlin, Dusseldorf, Frankfurt (Main), Hamburg, Hannover, Koln, Munchen und Stuttgart. Dein Impact: Als Senior Consultant Cloud Data Engineering /Azure / GCP (m/w/d) stiftest du echten Mehrwert fur unsere Kunden mit Schwerpunkt auf Azure- und Google Cloud Analytics, sowie Data Engineering, vom Aufbau von Cloud Plattformen uber die Entwicklung von Datenstrecken bis hin zu komplexen Analyselosungen. Plattformaufbau: Design und Implementierung von skalierbaren Datenplattformen, von Datenintegration uber Verarbeitung bis hin zu Analytics- und BI-Losungen.

Architektur: Konzeption von zukunftsfahigen Datenarchitekturen unter Einsatz moderner Services in Azure und/oder GCP. Umsetzung: Entwicklung und Optimierung von Datenpipelines zur Verarbeitung groer und komplexer Datenbestande. Beratung: Unterstutzung von Kunden bei der Auswahl und Umsetzung geeigneter Cloud Data Strategien und Technologien.

Verantwortung: Mit steigender Erfahrung ubernimmst du die Aussteuerung von Teilprojekten sowie die Fuhrung von Projektteams. Dein Skillset: Mindestens drei Jahre Berufserfahrung in der Konzeption, Implementierung und Weiterentwicklung von Cloud Datenplattformen auf Microsoft Azure und/oder Google Cloud Platform Erfolgreich abgeschlossenes Studium der (Wirtschafts-)Informatik, (Wirtschafts-)Ingenieurwesen, Wirtschaftswissenschaften mit Informatikbezug oder vergleichbaren Studiengangen Erfahrung mit zentralen Cloud Data Services (z.B. Azure Data Factory, Synapse, Databricks, BigQuery, Dataproc, Cloud Composer) und DevOps, CI/CD sowie Datenarchitektur- und Governance-Konzepte Programmierkenntnisse in Python, Java oder Scala sowie fundierte SQL-Kenntnisse und Erfahrung in Datenmodellierung und ETL/ELT-Prozessen Reisebereitschaft sowie Deutsch (C1) und Englisch sehr gut in Wort und Schrift Deine Chance: Best-in-class Weiterbildung an der Deloitte University sowie im Rahmen individueller Qualifikationsangebote und Trainings Umfassende Entwicklungschancen durch strukturierte Karriereplanung, Inclusive Leadership, Entsendungsprogramme, projektbasierte Job-Rotation sowie Forderung sozialen Engagements und Corporate Volunteering Vereinbarkeit von Beruf & Familie dank Mobile Working & Teilzeit, Sabbaticals und Familienservice, z

B. zur Unterstutzung fur pflegende Angehorige, Elternzeit-Beratung und vielem mehr Gesundheit & Fitness im Fokus durch regelmaige Gesundheitstage, Kooperationen mit Fitness-Anbietern und die Unterstutzung von Sport- und Teamevents Attraktive Arbeitgeberleistungen inklusive Bike- und Pkw-Leasing, Firmen-Smartphone zur privaten Nutzung sowie flexiblen Arbeitsmodellen wie z. B.

Vertrauensarbeitszeit und EU Remote Working Vielfaltige Gestaltungsspielraume und aktive Forderung einer inklusiven Unternehmenskultur - u. a. durch unsere Diversity & Inclusion Mitarbeiter:innen-Netzwerke Bist du bereit.

Mach mit uns den Unterschied. Unser Recruiting-Team freut sich auf deine Bewerbungsunterlagen uber unser Online-Formular. Ein Anschreiben und ein Bewerbungsfoto sind bei uns nicht erforderlich.

Gleiche Chancen fur alle: Wir freuen uns uber Bewerbungen von Menschen, die so vielfaltig sind wie wir - unabhangig von Alter, Behinderung, ethnischer Herkunft und Nationalitat, Geschlecht, Religion, sexueller Orientierung oder sozialer Herkunft. Noch Fragen. Alle Infos zu unserem Bewerbungsprozess findest du in unseren Bewerbungs-FAQs.


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