MCA Connect
More roles at MCA ConnectSenior Azure Cloud Platform Engineer
Remote role where the employee must remain based in a particular country.
Listed for United States
Source: the job board's country tag. The advert itself does not name United States.
Employer listed it 5 weeks ago · Added 4 weeks ago
Been open since 5 weeks ago, still being checked, but it has been live a while.
Salary
$160k to $210k per year
Location
Listed for United States
Timezone
Not stated
Contract
Full-time
Experience
Senior
Category
Software
Published by the employer
What the advert says
Quoted word for word from the employer's advert. Where it says nothing, we say so.
- Working hours
- Not mentioned in the advert
- Where you can work from
Established in 2002, MCA Connect has grown into one of the largest US-based solution partners in Microsoft Business Applications and Azure Data & AI / Digital & App Innovation.
- Contract
Employment Type
- Experience asked for
- Not mentioned in the advert
- Pay
- Not mentioned in the advert
Remote flexibility
Work from home
This is a remote role, but the employee must be based in United States. It is work from home rather than work from anywhere.
What the employer says
- Source listing states candidate location: "Remote"
- Job description states: "US-based"
What Nomaders makes of it
- Payroll and tax are likely handled in that country only
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
Before you apply
Experience: employer states
Written as a requirement
- “Practical working proficiency in Power BI, Microsoft Fabric, and Azure Databricks is required, alongside effective use of AI development tools and independent validation of results.”
- “At least 5 years of relevant professional experience in data science, data engineering, or software engineering, including at least 3 years building, deploying, and supporting workloads in Microsoft Azure.”
Written as a nice-to-have
- “Preferred experience”
Produced automatically from this advert's text; not reviewed by a person. The employer's own page is the final word.
About the role
Through passion and deep industry expertise, MCA Connect helps manufacturers succeed by unlocking innovation with actionable business insights. Our strategic solutions, innovation, and industry intelligence help manufacturers gain visibility, improve profitability, and achieve a competitive edge.
Established in 2002, MCA Connect has grown into one of the largest US-based solution partners in Microsoft Business Applications and Azure Data & AI / Digital & App Innovation. Our Microsoft Specialties include Finance and Supply Chain, Analytics on Azure, Data Warehouse Migration, and Power Platform. We’re also a fifteen-time Microsoft Partner of the Year and three-time Inc. Best Workplaces award winner.
Senior Azure Cloud Platform/Data Science Engineer
Planning and Decision Systems
Location
Remote with light travel as needed to client sites
Employment Type
Full-time
We are seeking a Senior Data Science Engineer with strong Python and SQL skills, quantitative judgment, and demonstrated strength in Azure. The role combines data science, data engineering, and software development. Practical working proficiency in Power BI, Microsoft Fabric, and Azure Databricks is required, alongside effective use of AI development tools and independent validation of results.
Experience and education
At least 5 years of relevant professional experience in data science, data engineering, or software engineering, including at least 3 years building, deploying, and supporting workloads in Microsoft Azure. Candidates should demonstrate ownership of deployed solutions and the ability to troubleshoot operational issues.
A bachelor's degree in operations research, business, computer science, data science, information systems, statistics, mathematics, engineering, or a related field, or equivalent demonstrated professional experience. A master's degree is a plus but is not required. A PhD is not required.
Required platform and technical skills
Microsoft Azure: Strong hands-on capability in data storage and compute, identity and access, secure connectivity, deployment automation, monitoring, troubleshooting, and cost management. Relevant services include ADLS Gen2, Azure SQL, Entra ID, managed identities, Key Vault, and Azure Monitor.
Power BI: Working proficiency building reports and semantic models, using Power Query and DAX, defining relationships and measures, configuring refresh and row-level security, and reconciling reported metrics to source data.
Microsoft Fabric: Practical experience with workspaces, OneLake, lakehouses or warehouses, and data pipelines or notebooks. Ability to follow data lineage, manage appropriate access, and diagnose processing or reporting issues.
Azure Databricks: Working proficiency with notebooks, PySpark or Spark SQL, Delta Lake tables, and scheduled jobs. Ability to investigate failed runs and understand compute configuration, data permissions, and performance tradeoffs.
Python and SQL: Strong proficiency in data preparation, analysis, reusable components, and backend processing. Ability to read unfamiliar code, explain its behavior, and improve its maintainability.
Data modeling and integration: Understand analytical data models, schemas, data grain, join cardinality, missing values, time alignment, and traceability across data sources and reports.
Software delivery: Apply version control, code review, automated testing, and controlled releases. Understand APIs, persistent state, long-running processing, and safe recovery from failures.
AI assisted development
Demonstrate agentic development capability with tools such as Claude Code and OpenAI Codex. Break work into bounded tasks, provide repository context and constraints, direct coding agents, and iterate through implementation, testing, and debugging. Review generated changes, manage branches and tool permissions, protect sensitive information, and independently verify code and analytical results before release.
Analytical and problem solving skills
Translate ambiguous business questions into measurable analytical problems, with explicit assumptions, objectives, constraints, and success criteria.
Requirements
- ·Python and SQL: Strong proficiency in data preparation, analysis, reusable components, and backend processing. Ability to read unfamiliar code, explain its behavior, and improve its maintainability.
- ·Data modeling and integration: Understand analytical data models, schemas, data grain, join cardinality, missing values, time alignment, and traceability across data sources and reports.
- ·Software delivery: Apply version control, code review, automated testing, and controlled releases. Understand APIs, persistent state, long-running processing, and safe recovery from failures.
Benefits
No benefits package published with this listing. Ask about it at first interview.
How to apply
- 1Check the flexibility label above, work from home, matches where you plan to live and work.
- 2Tailor your CV to the role at MCA Connect, mentioning your remote working experience.
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 1mo ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
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