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Temporary Azure Data Factory Jobs in Missouri (NOW HIRING)

Lead data engineer

Saint Louis, MO · 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 ...

... 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 · 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 · 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 ...

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 ...

... 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 ...

... 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 ...

Eng II, Data

Saint Louis, MO

$111K - $133K/yr

... L/ELT, Azure Data Factory Pipeline (or similar) experience Experience working within Agile development methodologies and DevOps development lifecycles Physical demands, environment and schedule ...

Eng II, Data

Saint Louis, MO

$111K - $133K/yr

... Azure Data Factory Pipeline (or similar) experience • Experience working within Agile development methodologies and DevOps development lifecycles Physical demands, environment and schedule • ...

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Temporary Azure Data Factory information

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 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 Temporary Azure Data Factory roles?

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 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:

Azure Data Engineer in St. Louis, MO

Accenture Federal Services

Saint Louis, MO

$111K - $133K/yr

Other

Re-posted 16 days ago


Accenture Federal Services rating

8.4

Company rating: 8.4 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

58th of 479 rated business services


Job description

The work:

Azure Data 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.

Here's what you need:

  • Active Secret security clearance required
  • 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
  • Experience working with databases, compute, storage and networks on one or more of the following platforms: Azure, AWS, Google Cloud Platform, VMware or Oracle Cloud Platform.

"You must live local to St. Louis, MO OR be willing to travel to St. Louis every week Monday-Thursday"

#clearancejob


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