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Temporary Azure Data Factory Jobs in Missouri (NOW HIRING)

Data Engg with DQ Exp

California, MO ยท On-site

$140 - $160/hr

Azure Data Factory (ADF) * Azure Databricks * Azure Synapse Analytics * Azure Data Lake Storage (ADLS) * Azure SQL Database * Azure Purview / Microsoft Purview * Azure Event Hub / Stream Analytics

New

Data Engg with DQ Exp

California, MO ยท On-site

$140 - $160/hr

Azure Services: Strong hands-on expertise in Azure Data Factory (ADF) , Azure Databricks , Azure Synapse Analytics , Azure Data Lake Storage (ADLS) , Azure SQL Database , Azure Purview / Microsoft ...

Posted today

Databricks DE with Azure

California, MO ยท On-site

$120 - $140/hr

Azure Data Factory (ADF) * Azure Data Lake Storage Gen2 (ADLS) * Azure Synapse Analytics * Azure Key Vault * Azure Monitor * Azure DevOps Data Engineering * PySpark * Spark SQL * Delta Lake * ETL/ELT ...

New

Lead data engineer

Saint Louis, MO ยท On-site

$99K - $131K/yr

Strong experience with Spark, Python, Azure Data Factory, Alteryx/NiFi for ETL, Microsoft Graph APIs, and Microsoft 365 tools. Overview - The overall objective of this engagement is to manage and ...

Required : โ€ข Minimum five years of recent experience managing data operations, including data pipeline monitoring and incident response, with strong knowledge of Azure Data Factory, Azure ...

Senior Software Engineer

Bridgeton, MO ยท On-site

$116K - $153K/yr

Orchestrate and manage enterprise data integration workflows, messaging, and pipelines utilizing Azure Data Factory (ADF), Databricks notebooks, and Azure Service Bus * Design, implement, and ...

New

Senior Software Engineer

Bridgeton, MO ยท Remote

$116K - $153K/yr

Orchestrate and manage enterprise data integration workflows, messaging, and pipelines utilizing Azure Data Factory (ADF), Databricks notebooks, and Azure Service Bus * Design, implement, and ...

New

... Factory, Azure Functions, GCP Functions, GCP Dataproc, Dataflow and other relevant services - Designing and managing data warehouses and data lakes, verifying data is organized and accessible ...

... Factory, Azure Functions, GCP Functions, GCP Dataproc, Dataflow and other relevant services - Designing and managing data warehouses and data lakes, verifying data is organized and accessible ...

Data Engineer

Saint Louis, MO ยท On-site

$110K - $133K/yr

Expert with cloud-based data ecosystems, ideally Microsoft Azure (Data Factory, Synapse, Databricks, or Data Lake) * Skilled understanding of ETL/ELT design patterns, data modeling, and schema ...

Azure Cloud Engineer

Saint Louis, MO ยท On-site

$54 - $72.25/hr

... Data factory, Event hubs, Event grid, Azure functions, * 2+ years developing data engineering pipeline with Databricks or Spark * 1+ year working with technologies such as CosmoDB, AzureSQL, Redis ...

Showing results 21-40

Temporary Azure Data Factory information

What is a temporary Azure Data Factory role?

Temporary Azure Data Factory roles refer to short-term positions where professionals are hired to design, implement, and manage data integration workflows using Microsoft Azure Data Factory. These roles often involve tasks such as building ETL pipelines, migrating data to the cloud, and ensuring the smooth flow of data between sources and destinations. Temporary roles are typically project-based or to cover peak workloads, providing organizations with specialized expertise for a limited duration.

What are the typical challenges faced by professionals in a temporary Azure Data Factory role, and how can they be addressed?

Professionals in a Temporary Azure Data Factory role often face challenges such as quickly understanding existing data pipelines, integrating with legacy systems, and ensuring data security within tight project deadlines. Adapting to varying documentation standards and collaborating efficiently with cross-functional teams are also common hurdles. Success in this role often comes from leveraging strong communication skills, proactively seeking clarification from stakeholders, and maintaining a structured approach to troubleshooting and documentation. Familiarity with Azure's best practices and automation can help streamline onboarding and project delivery.

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

To thrive as a Temporary Azure Data Factory specialist, you need expertise in data integration, ETL processes, and proficiency with cloud-based data platforms, typically supported by experience in SQL and a background in computer science or related fields. Familiarity with Azure Data Factory, Azure SQL Database, Data Lake, and certifications like Microsoft Certified: Azure Data Engineer Associate are highly beneficial. Strong problem-solving, analytical thinking, and communication skills help you design efficient data pipelines and collaborate with diverse teams. These qualifications ensure reliable, scalable data solutions that meet organizational needs within tight project timelines.

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

AspectTemporary Azure Data FactoryData Engineer
CredentialsAzure certifications, data integration skillsData engineering certifications, SQL, cloud platform knowledge
Work EnvironmentCloud-based, project-specific, short-termLong-term, team-based, often on-premises or cloud
Employer & IndustryTech companies, consulting firms, project-based rolesLarge enterprises, finance, healthcare, ongoing data infrastructure

Temporary Azure Data Factory roles focus on short-term data integration projects using cloud tools, requiring specific Azure certifications. Data Engineers have broader responsibilities, building and maintaining data pipelines long-term, with more extensive technical skills. Both roles are vital in data management but differ mainly in scope and duration.

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

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

What are popular job titles related to Temporary Azure Data Factory jobs in Missouri?

For Temporary Azure Data Factory jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Temporary Azure Data Factory jobs in Missouri look for?

The top searched job categories for Temporary Azure Data Factory jobs in Missouri are:

Data Engg with DQ Exp

BlackCube Labs

California, MO โ€ข On-site

$140 - $160/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

New


Job description

Architect โ€“ Azure Data Engineer (Data Quality)

It's fun to work in a company where people truly BELIEVE in what they are doing!

We're committed to bringing passion and customer focus to the business.

Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets; an ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Workยฎ Institute and recognized as a โ€˜Cool Vendorโ€™ and a โ€˜Vendor to Watchโ€™ by Gartner.

Please visit Fractal | Intelligence for Imagination for more information about Fractal.

Please Note: We are not offering sponsorship at this time.

Role Overview

We are seeking an experienced Azure Architect with strong expertise in Data Engineering and Data Quality (DQ) frameworks to design, implement, and govern scalable enterprise data platforms on Microsoft Azure. The ideal candidate will have deep experience in cloud-native data architectures, modern ETL/ELT pipelines, data governance, and enterprise-grade data quality practices.

The role involves working closely with business stakeholders, data engineers, architects, analytics teams, and leadership to build reliable, secure, and high-performing data ecosystems.

Key Responsibilities

Azure Data Architecture

  • Design scalable and secure enterprise data platforms on Microsoft Azure.
  • Define end-to-end cloud data architecture using Azure-native services.
  • Develop reference architectures, reusable frameworks, and best practices.
  • Lead migration of on-premise data platforms to Azure cloud.
  • Ensure architecture aligns with business, security, governance, and compliance requirements.
Data Engineering
  • Build and optimize large-scale batch and real-time data pipelines.
  • Design ETL/ELT frameworks using modern Azure data services.
  • Implement lakehouse/data warehouse architectures.
  • Enable data integration from structured, semi-structured, and unstructured sources.
  • Optimize performance, scalability, and cost of Azure data solutions.
Data Quality & Governance
  • Define enterprise data quality standards, controls, and monitoring frameworks.
  • Implement DQ checks including completeness, accuracy, consistency, uniqueness, and timeliness.
  • Design automated DQ validation and reconciliation frameworks.
  • Collaborate with governance teams on metadata management, lineage, and master data initiatives.
  • Establish data observability and monitoring mechanisms.
Stakeholder Management
  • Work with business users to understand analytical and operational data requirements.
  • Collaborate with cross-functional teams including BI, AI/ML, governance, and infrastructure teams.
  • Mentor junior engineers and provide technical leadership.
  • Participate in architecture reviews, design discussions, and client presentations.
Required Skills & Experience Technical Skills Azure Services

Strong hands-on expertise in:

  • Azure Data Factory (ADF)
  • Azure Databricks
  • Azure Synapse Analytics
  • Azure Data Lake Storage (ADLS)
  • Azure SQL Database
  • Azure Purview / Microsoft Purview
  • Azure Event Hub / Stream Analytics
  • Azure Functions
  • Azure DevOps
Data Engineering
  • Expertise in SQL and Python/PySpark.
  • Strong understanding of data modeling techniques.
  • Experience building distributed data processing systems.
  • Knowledge of batch and streaming architectures.
  • Experience with Delta Lake/Lakehouse concepts.
Data Quality
  • Experience implementing enterprise Data Quality frameworks.
  • Knowledge of DQ tools/frameworks such as Great Expectations, Deequ, Monte Carlo, Informatica DQ, or custom validation frameworks.
  • Experience in data profiling, validation, reconciliation, and anomaly detection.
  • Understanding of data governance and metadata management.
Cloud & DevOps
  • CI/CD implementation for data pipelines.
  • Infrastructure as Code (IaC) exposure using Terraform/Bicep/ARM templates.
  • Experience with monitoring and logging frameworks.
  • Understanding of cloud security best practices.
Qualifications
  • Bachelorโ€™s or Masterโ€™s degree in Computer Science, Information Systems, Engineering, or related field.
  • 8+ years of experience in Data Engineering and Cloud Architecture.
  • 4+ years of handsโ€‘on experience with Azure Data Platform.
  • Experience working in enterpriseโ€‘scale cloud transformation programs.
  • Azure certifications preferred:
    • Azure Solutions Architect Expert
    • Azure Data Engineer Associate
    • Azure AI Engineer (preferred)
Preferred Experience
  • Experience in BFSI, Healthcare, Retail, Manufacturing, or CPG domains.
  • Exposure to AI/ML data platforms.
  • Experience with multiโ€‘cloud or hybridโ€‘cloud environments.
  • Familiarity with Agile delivery models.
  • Clientโ€‘facing consulting experience.
Soft Skills
  • Strong communication and stakeholder management skills.
  • Excellent problemโ€‘solving and analytical thinking.
  • Ability to lead technical discussions and architecture reviews.
  • Strong collaboration and mentoring capabilities.
  • Ability to work in fastโ€‘paced and crossโ€‘functional environments.

Note: The job description may be subject to modification based on business requirements and evolving project needs.

Pay:

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is: $140,000 - $160,000. In addition, you may be eligible for a discretionary bonus for the current performance period.

Benefits:

As a fullโ€‘time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides for 11 paid holidays and 12 weeks of Parental Leave. We also follow a โ€œfree timeโ€ PTO policy, allowing you the flexibility to take time needed for either sick time or vacation.

Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

If you like wild growth and working with happy, enthusiastic overโ€‘achievers, you'll enjoy your career with us!

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