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Data Flow Jobs (NOW HIRING)

Data Architect

Dallas, TX ยท On-site

$63 - $81/hr

Architecture Design Develop comprehensive MDM architecture including data models data flow diagrams and integration strategies * Tool Selection Implementation Evaluate select and oversee the ...

Data Architect

Atlanta, GA ยท On-site

$62.50 - $80.50/hr

They create and manage APIs, ensure seamless data flow between systems, and provide technical support for integration solutions. The Data Architect will work closely with the IT team and business ...

Big Data Engineer

Tampa, FL ยท On-site

$52.75 - $69.75/hr

The data engineers would build the Data Lake that enables the ML team to develop models and serve the data for production flow. Specifically, the engineers would be sourcing data, building data ...

GCP Data Engineer

Alpharetta, GA ยท On-site

$111K - $134K/yr

... Data Flow. Your ability to tell compelling data stories and translate complex data into actionable insights will be crucial to your success. Key Responsibilities: -Design, develop, and manage ...

Senior Data Architect

Tallahassee, FL ยท On-site

$64 - $85.50/hr

Create Technical Design Documentation, Process Flow Diagrams, and Data Flow Diagrams * Cultivate end-user interaction, requirement gathering, and development per functional specifications * Lead ...

Data Engineer

Santa Clara, CA ยท On-site

$85K - $134K/yr

Maintain data flow planograms as a living technical record; update planograms whenever a connector is modified, a normalization rule changes, a schema mapping is revised, or a new integration is ...

Data Engineer

Santa Clara, CA ยท On-site

$85K - $134K/yr

Maintain data flow planograms as a living technical record; update planograms whenever a connector is modified, a normalization rule changes, a schema mapping is revised, or a new integration is ...

Data Engineer - IBM Quantum

Chicago, IL

$118K - $141K/yr

Your expertise will ensure the seamless flow of data throughout the business intelligence solution's lifecycle. Your primary responsibilities will include: * Design Data Integration Solutions: Create ...

Data Architect

Charlotte, NC ยท On-site

$62.25 - $80/hr

... flow. - Create data models (Data Vault, ODS, Dimensional) to support strategic initiatives and ensure high-quality, consistent data. - Conduct data analysis and profiling to identify and resolve data ...

Develop and maintain automated test scripts and frameworks to streamline data flow testing processes. * Documentation: Create and maintain detailed documentation of test cases, test results, and ...

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Data Flow information

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$11

$55

$90

How much do data flow jobs pay per hour?

As of Jun 23, 2026, the average hourly pay for data flow in the United States is $55.20, according to ZipRecruiter salary data. Most workers in this role earn between $32.21 and $75.72 per hour, depending on experience, location, and employer.

How many days will it take for DataFlow?

The duration for DataFlow processing or certification varies depending on the specific program and location, typically ranging from a few days to several weeks. Factors such as document submission, verification procedures, and workload can influence the timeline. Applicants should check with the relevant authority or organization for the most accurate estimate.

What is a data flow job?

A data flow job involves designing, managing, or executing processes that transfer and transform data between systems or components. These jobs often require knowledge of data integration tools, scripting, and understanding of data pipelines to ensure efficient and accurate data movement.

What is data flow in the context of computing and IT?

Data flow refers to the movement and processing of data within a system, application, or network. It describes how data is input, transformed, and output as it passes through various components or stages. Understanding data flow is crucial for designing efficient systems, troubleshooting issues, and ensuring data integrity. Data flow diagrams (DFDs) are often used to visualize and analyze these paths and processes.

What profession makes $400,000 a year?

In the field of data flow or data engineering, senior roles such as data architects or lead data engineers can earn $400,000 or more annually, especially with extensive experience, advanced skills in cloud platforms, and certifications. These high salaries are typically found in large organizations or tech companies with complex data infrastructure.

What jobs in the US pay 300,000 a year?

In the field of data flow and related roles, senior data engineers, data architects, and analytics managers can earn $300,000 or more annually, especially with extensive experience, advanced certifications, and working in high-demand industries. These positions often require strong skills in SQL, cloud platforms, and data modeling, and may involve leadership responsibilities or specialized technical expertise.

What are the key skills and qualifications needed to thrive as a Data Flow Specialist, and why are they important?

To thrive as a Data Flow Specialist, you need a solid understanding of data integration, data modeling, and database management, typically supported by a degree in computer science or a related field. Familiarity with ETL tools (such as Informatica or Talend), data pipeline frameworks, and proficiency in SQL or Python are commonly required. Strong analytical thinking, attention to detail, and effective communication enhance problem-solving and collaboration across teams. These skills are essential to ensure accurate, secure, and efficient data movement that supports organizational decision-making.

How do Data Flow specialists typically collaborate with other teams within an organization?

Data Flow specialists frequently work cross-functionally with data engineers, analysts, and IT teams to ensure seamless movement and integration of data across platforms. They often participate in meetings to discuss data pipeline requirements, address data quality issues, and troubleshoot bottlenecks. Effective communication and documentation are key, as they must translate complex data processes for stakeholders with varying technical backgrounds. Collaborating closely ensures that data remains consistent, secure, and accessible for business needs.

What is the difference between Data Flow vs Data Analyst?

AspectData FlowData Analyst
Required CredentialsTypically no formal certification, but knowledge of data management toolsBachelor's degree in data science, statistics, or related field; certifications like SQL or Tableau are common
Work EnvironmentData management systems, cloud platforms, and data pipelinesData analysis tools, spreadsheets, visualization software, and reporting platforms
Employer & Industry UsageUsed in IT, data engineering, and database management rolesUsed across finance, marketing, healthcare, and business intelligence sectors

Data Flow focuses on managing and transferring data within systems, ensuring data moves efficiently through pipelines. Data Analysts interpret and analyze data to generate insights and support decision-making. While Data Flow involves technical data handling, Data Analysts focus on analyzing data to inform business strategies.

More about Data Flow jobs
What cities are hiring for Data Flow jobs? Cities with the most Data Flow job openings:
What states have the most Data Flow jobs? States with the most job openings for Data Flow jobs include:
Infographic showing various Data Flow job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $114,824 per year, or $55.2 per hour.
Data Architect

Data Architect

Staffingine LLC

Dallas, TX โ€ข On-site

$63 - $81/hr

Contractor

Posted 11 days ago


Job description

Job Title:ย Data Architectย 
Jobย Location:ย Dallas ,ย Texasย ย 
Job Type:ย Contractย 

Job Description:ย ย 

Qualifying requirementsย 

  • Experience in complex MDM architecture implementation including how handled data integration data modelling and synchronization across multiple systems is doneย 

  • Experience in designing and implementing MDM solutions including the data domains managed and the tools or platforms used e.g. Informatica Collibra Talendย 

  • Experience in data governance data quality and data stewardship within an MDM framework to ensure consistent and reliable master data across the organizationย ย 

Primary Skillsย 

  • Strategic Data Leader Acts as the primary authority on master data management strategies and best practicesย 

  • Solution Designer Designs scalable robust and secure MDM solutions aligned with organizational needsย 

  • Technical Expert Possesses deepย expertiseย in MDM tools data modelling data governance and integration techniquesย 

  • Collaborator Works closely with business stakeholdersโ€™ data stewardsโ€™ data engineers and IT teams to ensure data consistency and qualityย 

  • Standards Enforcer Establishes and enforces data standards policies and governance frameworksย 

Responsibilities of an MDM Architectย 

  • Requirements Gathering Collaborate with business and IT teams to understand master data requirements data sources and integration pointsย 

  • Architecture Design Develop comprehensive MDM architecture including data models data flow diagrams and integration strategiesย 

  • Tool Selection Implementation Evaluate select and oversee the deployment of MDM tools and platformsย egย Informatica MDM IBMย InfoSphereย etcย 

  • Dataย Modelingย Design and implement data models for master data entities such as customers products suppliers etcย 

  • Data Governance Quality Define data governance policies data quality standards and stewardship processes to ensureย highqualityย master dataย 

  • Integration Data Flow Design and implement data integration processes to synchronize master data across systemsย 

  • Security Compliance Ensure master data security privacy and compliance with relevant regulationsย 

  • Performance Optimization Monitor andย optimizeย the performance of MDM solutions and data workflowsย 

  • Documentation Maintain detailed documentation of architecture data models workflows and standardsย 

  • Stakeholder Engagement Act as a bridge between technical teams and business units to ensure the MDM solution meets organizational needsย 

  • Continuous Improvement Stay updated with emerging trends tools and best practices in MDM and data managementย 

  • Training Support Provide guidance and training to data stewards and users involved in master data processesย 

  • Good communicationย with experience handling client stakeholders wellย 

Mandatoryย Skills :ย ย 

  • GCP Dataย Architecture,MDMย Conceptual,Dataย Architecture,Dataย lakehouseย Architecture,Dimensionalย Dataย Modelingย