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Data Pipeline Consultant Jobs (NOW HIRING)

NxT Level

Senior Data Consultant

Marlton, NJ · On-site

About the Role As a Data Solutions Consultant , you will play a key role supporting multiple ... Design and develop scalable, cloud-based data pipelines * Build optimized, user-friendly reporting ...

NxT Level

Senior Data Consultant

Marlton, NJ · On-site

About the Role As a Data Solutions Consultant , you will play a key role supporting multiple ... Design and develop scalable, cloud-based data pipelines * Build optimized, user-friendly reporting ...

GFT TECHNOLOGIES SE

NY · On-site

Expert Data Consultant Date: Jul 6, 2026 Location: Łódź, PL, 90-118 Kraków, PL, 30-302 Poznań ... Develop and maintain ETL and ELT pipelines * Onboard new data sources and build data ingestion ...

Ampcus Inc

Data Scientist

... consulting services. We are in search of a highly motivated Data Scientist with strong data engineering and business intelligence skills to build robust data pipelines and reporting systems, focusing ...

ASK Consulting

Be Seen First

Data Engineer (cur_1_130380@curatelyai.net)

Clayton, MO · On-site

$60 - $65/hr

Data Engineer Location: Clayton, MO & Atlanta GA - Hybrid(4 days onsite) Duration: 6 Months Pay ... deployment pipelines for code and workflows. About ASK: ASK Consulting is an award-winning ...

New

Qualis1 Inc

Data Engineer : Hybrid Role

Washington, DC · On-site

$129K - $155K/yr

... consulting on the optimal design for performance and deployment on Google Cloud Platform. Support the design, development, and maintenance of RDBMS, data warehouse and data pipeline solutions. Must ...

N Consulting Limited

... pipelines, and data governance frameworks across SAP and non-SAP systems • Collaborate with business and IT teams to enable data harmonization, real-time insights, and reporting • Drive ...

AMEND Consulting

Data Engineer

Cincinnati, OH · On-site

$109K - $131K/yr

AMEND is a management consulting firm based in Cincinnati, OH with areas of focus in operations ... Create and maintain optimal data pipeline architecture * Assemble large, complex data sets that ...

Apogee

Data Platform Engineer

Minneapolis, MN · On-site

$80K - $100K/yr

... consulting on data-related projects from the data engineering perspective across the organization. Responsibilities * Design, develop, and maintain scalable and robust data pipeline architectures ...

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Data Pipeline Consultant information

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How much do data pipeline consultant jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for data pipeline consultant in the United States is $44.89, according to ZipRecruiter salary data. Most workers in this role earn between $30.29 and $60.10 per hour, depending on experience, location, and employer.

What does a data pipeline consultant do?

A Data Pipeline Consultant specializes in designing, implementing, and optimizing data pipelines, which are systems that move and process data from various sources to storage or analysis platforms. Their role involves understanding client requirements, integrating different data sources, ensuring data quality, and often automating data flows. They may work with cloud platforms, big data technologies, and tools like Apache Airflow or AWS Data Pipeline. Additionally, they advise on best practices for data governance, scalability, and security. Their expertise helps organizations efficiently manage and leverage large volumes of data for analytics and decision-making.

What are the key skills and qualifications needed to thrive as a data pipeline consultant?

To thrive as a Data Pipeline Consultant, you need strong skills in data engineering, ETL development, and proficiency with programming languages such as Python or SQL, often supported by a relevant degree in computer science or engineering. Familiarity with data pipeline tools like Apache Airflow, cloud platforms (AWS, Azure, GCP), and certifications such as AWS Certified Data Analytics or Google Professional Data Engineer are highly valued. Excellent problem-solving, communication, and project management skills help consultants work effectively with clients and cross-functional teams. These abilities are critical for designing reliable data pipelines that enable organizations to process and analyze data efficiently, supporting informed decision-making.

What are some common challenges data pipeline consultants face when working with legacy systems?

Data Pipeline Consultants often encounter challenges when integrating modern data solutions with legacy systems. These systems may lack standardized interfaces or documentation, making data extraction and transformation more complex. Consultants frequently need to develop custom connectors or scripts and ensure that the new pipeline does not disrupt existing operations. Collaboration with internal IT teams is crucial to understand system nuances and ensure a smooth transition.

What is the difference between Data Pipeline Consultant vs Data Engineer?

AspectData Pipeline ConsultantData Engineer
CredentialsBachelor's in CS, certifications in data tools (e.g., AWS, Azure)Bachelor's or higher in CS, certifications in data engineering or cloud platforms
Work EnvironmentConsulting firms, client sites, project-basedIn-house or cloud-based data teams, tech companies
Industry UsageUsed across industries for project-specific data solutionsCore role in data infrastructure and platform development
Primary FocusDesigning and implementing data pipelines for specific projectsBuilding and maintaining scalable data systems and pipelines

While both roles involve working with data pipelines, Data Pipeline Consultants focus on designing solutions for specific projects and clients, often in a consulting capacity. Data Engineers develop and maintain the underlying data infrastructure within organizations. The roles overlap in skills and tools but differ mainly in scope and employment setting.

How do I become a data pipeline consultant?

To become a data pipeline consultant, you typically need a strong background in data engineering, including knowledge of data integration, ETL processes, and cloud platforms like AWS or Azure. Gaining experience with tools such as Apache Spark, Kafka, and SQL is essential, along with relevant certifications like Google Cloud Professional Data Engineer or AWS Certified Data Analytics. Developing problem-solving skills and understanding business data needs are also important for success in this role.

What cities are hiring for Data Pipeline Consultant jobs?

Cities with the most Data Pipeline Consultant job openings:

What states have the most Data Pipeline Consultant jobs?

States with the most job openings for Data Pipeline Consultant jobs include:

What are popular job titles related to Data Pipeline Consultant jobs?

For Data Pipeline Consultant jobs, the most frequently searched job titles are:

Data Pipeline Consultant jobs near you
Infographic showing various Data Pipeline Consultant job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $93,381 per year, or $44.9 per hour.

Senior Data Consultant

Marlton, NJ • On-site

NxT Level
See more jobs at NxT Levelexternal

Full-time

Re-posted 26 days ago

Job description

About the Role

As a Data Solutions Consultant, you will play a key role supporting multiple initiatives for enterprise and global customers. This role sits at the intersection of business, data, and technology, working closely with client stakeholders to turn complex requirements into scalable, cloud-based data solutions.

You’ll be responsible for gathering business requirements, defining and implementing data models, designing data pipelines, and ensuring insights are delivered to stakeholders in a clear, efficient, and impactful way. The work is performed in a modern cloud environment, leveraging AI-driven tools to improve productivity and accelerate outcomes.

Key Responsibilities

  • Partner with client stakeholders to gather, clarify, and translate business requirements

  • Define and implement robust data models using a Medallion architecture

  • Design and develop scalable, cloud-based data pipelines

  • Build optimized, user-friendly reporting and analytics solutions

  • Ensure data is accessible, reliable, and actionable for business stakeholders

  • Contribute to innovative, AI-enabled approaches to data and analytics delivery

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or a related field

  • 2+ years of hands-on experience delivering Data & Analytics projects in cloud environments

  • Strong communication and collaboration skills with both technical and business stakeholders

  • Strong problem-solving and analytical capabilities

  • Proven experience designing and implementing data models in cloud-based environments
    (AWS, Azure, or GCP)

  • Experience using generative AI tools to improve productivity and extract insights

  • Strong SQL skills and solid understanding of database management systems

Preferred Qualifications

  • Master’s degree in Computer Science, Engineering, or a related field

  • Cloud or data engineering certifications

  • Experience developing ETL pipelines using dbt

Apply