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Remote Azure Data Factory Jobs in Kansas (NOW HIRING)

$98K - $118K/yr

Experience with the Azure data stack preferred, including Azure Data Factory, and Microsoft Fabric ... Environment US-based remote working within PT/ET time zones with the potential for occasional ...

$98K - $118K/yr

Experience with the Azure data stack preferred, including Azure Data Factory, and Microsoft Fabric ... Environment * US-based remote working within PT/ET time zones with the potential for occasional ...

This is a fully remote role based in the United States Key Responsibilities * Own the post-sales ... Translate cloud consumption data into executive-level business insights * Lead Quarterly Business ...

Sr Data & AI Scientist

Leawood, KS · On-site +1

$151K - $215K/yr

Headquartered in Burlington, MA, with additional office locations and hybrid and remote workers in ... Spark ML, Azure ML), programming and scripting for reproducible analysis, and building ...

Archera works closely with AWS, Microsoft Azure, and Google Cloud, and a broad network of software ... This is a fully remote role based in the United States, with East Coast candidates preferred. Key ...

This is a remote position. Candidates located within 50 miles of WellSky's headquarters in Overland ... GCP, Azure, and related technologies. * Collaborate with solution managers, engineers, data ...

Solutions Engineer - Enterprise

Home, KS · Remote

$160K - $260K/yr

... Data Center, Cloud, Network, Security, and Services spaces. This position is a remote position ... Dell Technologies, Cisco, VMware, NetApp, Pure Storage, HPE, Azure, AWS, Commvault, Rubrik ...

Collaborate with solution managers, engineers, data scientists, and other stakeholders to define ... NET/.NET Core, C#, Angular, JavaScript, SQLServerand Cloudexperience (preferably Azure Cloud ...

This is a remote position. Candidates located within 50 miles of WellSky's headquarters in Overland ... Collaborate with solution managers, engineers, data scientists, and other stakeholders to define ...

... data, and a whole lot of collaboration. Whether you're a creative thinker, a strategic planner, a ... Handson cloud experience across AWS, GCP, and/or Azure, with ability to dive deep on architecture ...

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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 Kansas?

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

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

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

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

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

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

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

$98K - $118K/yr

Part-time

Posted 9 days ago


Job description

Responsibilities

Support data engineering execution across complex application development initiatives, ensuring data models, integrations, and pipelines align with established architectural standards.

Collaborate with your engineering teammates to design and build robust data models, stored procedures, and database objects that support application and reporting needs.

Develop and maintain SQL Server databases, including schema design, indexing strategies, query optimization, and stored procedures.

Work with MongoDB to design document schemas and support NoSQL data access patterns alongside relational workloads.

Participate in code and schema reviews, upholding data quality, performance, and consistency standards across the team

You will use your software development skills in an agile environment to also develop new data pipelines, APIs, and data management tools and your experience with continuous delivery will support the end-to-end lifecycle.

Languages and Frameworks

MS SQL Server, strong production experience with schema design, complex query writing, stored procedure development, indexing, and query performance tuning.

MongoDB, hands-on NoSQL experience, including document modeling and integrating with relational systems.

Comfortable modeling data across relational and document-based systems, analyzing schemas, and resolving data quality issues.

Experience with the Azure data stack preferred, including Azure Data Factory, and Microsoft Fabric.

Python, working proficiency for scripting, automation, and data pipeline support is a plus.

Tools

Experience maintaining projects using a distributed version control system such as Git and GitHub.

Experience in automated pipeline deployment and schemas into production environments.

You should be experienced with agile methods and the concepts behind continuous delivery.

We expect you to be passionate about database modeling, stored procedure writing, pipelines, and APIs, so we want to see your experience with security, testing, performance, JSON, and REST.

We are eager to hear about your experience and opinions around data quality, test strategy, and test automation.

Education

BS in Computer Science and a minimum of five years of experience delivering production solutions

Focus

Minimum 5+ years working in Data Science.

We expect you to have a passion and experience in shipping and maintaining production software products.

You must have strong verbal and written skills.

We are most interested in candidates who want to work in an environment where attention to detail, solving problems, simplicity, quality, and moving quickly are highly prized.

Environment

US-based remote working within PT/ET time zones with the potential for occasional travel to L.A., NY or Nashville offices.

We foster a service-oriented, highly collaborative environment where teamwork, care, and helping others succeed are highly valued.