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Temporary Azure Data Factory Jobs in Missouri (NOW HIRING)

IQUASAR LLC

Azure Cloud Engineer

Saint Louis, MO · 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 ...

Pwc

Data Engineer - Senior Associate

Kansas City, MO · On-site

$77K - $202K/yr

... Azure Data Factory, Azure Functions, GCP Functions, GCP Dataproc, Dataflow - Enhancing Cloud resources for cost, performance, and scalability Travel Requirements Up to 60% Job Posting End Date The ...

Pwc

Data Engineer - Senior Associate

Saint Louis, MO · On-site

$77K - $202K/yr

... Azure Data Factory, Azure Functions, GCP Functions, GCP Dataproc, Dataflow - Enhancing Cloud resources for cost, performance, and scalability Travel Requirements Up to 60% Job Posting End Date The ...

Spire Inc.

Data Engineer II

Saint Louis, MO · On-site

$111K - $133K/yr

Preferably 7+ years of Oracle ODI ETL/ELT, Azure Data Factory Pipeline (or similar) experience. * Experience working within Agile development methodologies and DevOps development lifecycles. Physical ...

Mobile Gas Service

Data Engineer II

Saint Louis, MO · On-site

$111K - $133K/yr

Preferably 7+ years of Oracle ODI ETL/ELT, Azure Data Factory Pipeline (or similar) experience. * Experience working within Agile development methodologies and DevOps development lifecycles. Physical ...

Spire, Inc.

Data Engineer II

Saint Louis, MO · On-site

$111K - $133K/yr

Preferably 7+ years of Oracle ODI ETL/ELT, Azure Data Factory Pipeline (or similar) experience. * Experience working within Agile development methodologies and DevOps development lifecycles. Physical ...

MasterCard

Senior Principal, Data Engineering

O Fallon, MO · On-site

$117K - $161K/yr

Hands-on experience with Azure services including Data Factory, Synapse, Fabric, Azure Data Lake, and related technologies. Strong software engineering background with experience building production ...

Reply

Manager, Data Engineering

Kansas City, MO

Expertise with Microsoft Azure infrastructure and data resources, including Fabric, Azure Data Factory, Synapse Data Analytics, Power BI, Azure SQL, Azure Cosmos DB, and Azure Database for PostgreSQL

Reply

Manager, Data Engineering

Kansas City, MO

Expertise with Microsoft Azure infrastructure and data resources, including Fabric, Azure Data Factory, Synapse Data Analytics, Power BI, Azure SQL, Azure Cosmos DB, and Azure Database for PostgreSQL

TKC Holdings

Senior Data Analyst Engineer

Saint Louis, MO · On-site

$100K - $160K/yr

Azure Data Factory experience. * Databricks experience. * Qlik Replicate experience. * Oracle and SQL Server experience. * Python experience. * dbt experience. * Azure DevOps and Git experience.

Jobgether

Experience with Microsoft Azure Data Services , particularly Azure Data Factory, Azure Synapse Analytics, and SQL Server, is highly valuable. * Familiarity with Delta Lake, Unity Catalog, DataOps ...

New

BlackCube Labs

Solution Architect

California, MO · On-site

$160 - $210/hr

Azure Data Factory (ADF) * Azure Databricks * Azure Data Lake Storage (ADLS Gen2) * Azure Synapse Analytics * Azure SQL Database * Azure Event Hub * Azure Service Bus * Azure Functions * Azure Key ...

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All JobsAzure Data Factory JobsTemporary Azure Data Factory JobsTemporary Azure Data Factory Jobs in Missouri

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:

Temporary Azure Data Factory jobs near you

Azure Cloud Engineer

IQUASAR LLC

Saint Louis, MO • On-site

$54 - $72.25/hr

Full-time

Re-posted 25 days ago

Job description

iQuasar is seeking to fill a Cloud Engineer in St. Louis, MO.
  • Position: Cloud Engineer 
  • Location: St. Louis, MO
  • Clearance: Secret
Job Description:
Azure Cloud engineer with experience integrating data from both internal and external data sources to build a data processing system. Creates new pipelines and builds reusable components at scale to support reporting & analytics data products. Writes complex queries to transform raw data sources into accessible models by coding. Cleans, prepares, transforms, and optimizes data at scale for integration and consumption. Implements data management projects and restructures current web architecture. Solves complex data issues and performs root cause analysis to proactively resolve product issues. Owns the data pipeline and supports systems failures
Key Responsibilities:

  • 3+ years of hands-on experience working with Azure cloud native technologies. 
  • 2+ years experience with developing ETL pipelines in Azure using tools such as Azure 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, Synapse
  • 1+ year working with orchestration tool such as Airflow or Oozie
  • Strong programming foundation with python or java 
  • Strong experience with SQL 
  • Experience working in Agile teams
  • Experience working with streaming and batching solutions
  • Experience working with csv, json, xml and complex structures
  • Familiar with devOps process, CI/CD, security, coding standard and SDLC cycle
Preferred:
  • Experience with migrations to major cloud
Project-specific requirements:

  • Active Secret clearance
  • No dual citizenship
  • Based in St. Louis; relocation or weekly M-F travel to St. Louis
  • Aerospace & Defense or U.S. Federal manufacturing/MRO project experience
If you are interested in this position, please send me a copy of your latest resume at fadak.makhdoomi@iquasar.com with the information requested below: Also, please let me know what time/number is best to call to discuss this great opportunity. In case you are not interested in this position or this is not a right fit for you, please feel free to share this opportunity with your friends/networks or anyone you know who may be interested in this position. Thank you! 
  • Availability to start a new job
  • Best Rates
  • Contact #
Please don’t hesitate to contact me with any question(s) you may have. All employment is decided on the basis of qualifications, merit, and business need.
Best Regards,
Fadak Makhdoomi
Recruitment Specialist
iQuasar, LLC
Cleared Recruitment | Proposal Development | Technology
fadak.makhdoomi@iquasar.com
Direct: (703) 552-8162
Main: (703) 962-6001 Ext. 591
www.iQuasar.com
An Equal Opportunity Employer

iQuasar LLC is proud to be an Equal Employment Opportunity Employer. We do not discriminate based on race, religion, color, national origin, political affiliation, sex, sexual orientation, gender identity, age, marital/parental /veteran status, disability, genetic information, membership in an employee organization, retaliation, military service, other non-merit factors, or any other applicable characteristics protected by law.