Cloud Engineer – Data

Cloudforce

Cloud Solutions Engineer designing, building, and maintaining data solutions on Microsoft Azure and Microsoft Fabric. Engage with high-profile clients and work on technically demanding projects.

Posted 6/17/2026full-timeNational Harbor • Maryland • 🇺🇸 United StatesMid-LevelSenior💰 $100,000 - $140,000 per yearWebsite

Tech Stack

Tools & technologies

ApacheAzureCloudETLMS SQL ServerPythonSparkSQLSSIS

About the role

Key responsibilities & impact

Design, develop, migrate, and maintain scalable data pipelines and ETL processes on Microsoft Fabric and utilize Azure data & analytics resources.
Design and implement data integration processes to extract, transform, and load (ETL) data from various sources both on-prem, external 3rd party applications, and other cloud providers.
Understand, design and implement data solutions following industry standard architectural frameworks such as Data Mesh, Data Lake, Data Fabric and Data Warehouse architectures.
Design and implement industry standard data modeling techniques for semantic modeling for Power BI such as “Star” or “Snowflake” schemas.
Create data processing workflows and pipelines to support data analytics, machine learning, and other analytic-driven applications.
Implement CI/CD pipelines for automating data engineering processes using Azure DevOps or GitHub.
Collaborate with cross-functional teams to understand data requirements and implement effective data integration solutions.
Set up monitoring solutions using Azure Monitor, Azure Log Analytics, Fabric Data Activator, and other Azure solutions to track the performance of data pipelines or analytics workflows to ensure data quality, integrity, and performance.
Work with cloud security teams to set up and configure various Microsoft security solutions such as Purview and Sentinel to monitor and alert security and compliance best practices throughout the data & analytics lifecycle.
Conduct thorough testing and validation of data solutions to ensure the accuracy, completeness, and reliability of the delivered data products.
Implement, optimize, and maintain cost-effective data & analytics solutions by leveraging Azure Cost Management tools and best practices.
Stay updated on industry regulations and implement necessary changes to maintain compliance.

Requirements

What you’ll need

3+ years of experience with data engineering, particularly in Azure and/or Microsoft Fabric.
Proficiency in Azure cloud services, including Azure Data Factory, Azure Databricks, Azure SQL Database, Azure Synapse Analytics, and Azure Blob Storage.
Experience with Microsoft SQL Server tools, including SSIS and SSAS.
Experience with data engineering processes using Apache Spark, Python, R, T-SQL, or KQL.
Experience with generating Semantic Models.
Familiarity with Microsoft Power BI for data visualization.
Passion for staying updated on industry trends and emerging data engineering and cloud computing technologies.
Strong communication skills and the ability to collaborate effectively with cross-functional teams.

Benefits

Comp & perks

Medical, dental, life, and short-term disability insurance covered at 100% of the premium for employees and 50% for dependents
Paid parental leave, including adoption and foster care placement
PTO that grows with you — starting at 15 days, scaling to 20, then 25, plus incentive opportunities to earn even more
9 company holidays + 2 floating holidays to use however you need them
401K savings plan and education reimbursement to invest in your future
Friday lunch on us — every week, no exceptions
Personalized professional growth plan – an ongoing opportunity to map your own path, stay challenged, and grow with guidance and support from your manager
24/7 access to a modern gym with Tonal and Peloton
Free monthly garage parking with direct private access to the office
Sun-filled National Harbor offices with Potomac views, steps from shops and restaurants
Access to our proprietary AI platform — available as both a professional tool and for your own productivity
Complimentary snacks, cutting-edge tech, and a workspace you'll actually want to show up to

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data engineeringETL processesdata integrationdata modelingmachine learningCI/CD pipelinesdata analyticssemantic modelingApache SparkPython

Soft Skills

communicationcollaboration