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Data Delivery Jobs (NOW HIRING)

Data Engineer

$95K - $120K/yr

They will ensure efficient and reliable data delivery across multiple teams, systems, and products in a dynamic environment. This role offers the opportunity to evolve and enhance a modern data ...

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Provide operational excellence through root cause analysis, internal process improvements, automating manual processes, optimizing data delivery, redesigning infrastructure for greater scalability.

Senior Data & Analytics Lead

Reading, PA · On-site

$64.50 - $86.50/hr

You will support our software developers, database architects, data analysts and data scientists on vital initiatives and ensure optimal data delivery architecture consistent throughout ongoing ...

Senior Data & Analytics Lead

Reading, PA · On-site

$64.50 - $86.50/hr

You will support our software developers, database architects, data analysts and data scientists on vital initiatives and ensure optimal data delivery architecture consistent throughout ongoing ...

Data Engineering Lead- Finance

Nashville, TN · On-site

$110K - $132K/yr

DPR Construction is a leading construction company committed to delivering high-quality, innovative projects. They are looking for a talented Data Engineer to develop robust data solutions that ...

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

The candidate will be responsible for ensuring the data pipelines implement data privacy standards, perform well with documented data delivery SLAs, and meet all compliance standards defined by the ...

The team's responsibilities cover the entire data workflow, including design, delivery, and operational support for various data services and delivery mechanisms, going from real-time streaming to ...

Data Engineering Lead- Finance

Richmond, VA · On-site

$112K - $134K/yr

DPR Construction is a leading construction company committed to delivering high-quality, innovative projects. They are looking for a talented Data Engineer to develop robust data solutions that ...

Data Engineer Intern

Los Angeles, CA · On-site

$123K - $148K/yr

The Data Engineer intern will support our software developers and machine learning engineers on product/research initiatives and will create an optimal data delivery pipeline that is consistent ...

Data Engineer

Orlando, FL · On-site

$106K - $128K/yr

The role will focus on converting manually executed SQL processes into scalable, scheduled workflows using Azure Data Factory (ADF) , ensuring reliable and efficient data delivery across critical ...

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Data Engineer Who we are Iapetus Infrastructure oversees a portfolio of specialized field services ... Who you are You appreciate the client relationship and understand that delivering an excellent ...

Data Engineer

Chicago, IL · Hybrid

$100K - $151K/yr

We use the latest data technologies, software engineering practices, MLOPs, Agile delivery frameworks, and are passionate about building well-architected and innovative solutions that drive business ...

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Data Engineer Who we are Iapetus Infrastructure oversees a portfolio of specialized field services ... Who you are You appreciate the client relationship and understand that delivering an excellent ...

Data Engineer

Manhattan, NY · On-site +1

$126K - $151K/yr

The build systems designed for reliable data delivery and ingestion. Data Engineers develop and maintain internal and external facing APIs. They care deeply about data cleanliness and developing ...

Data Architect

Washington, DC · On-site

$72.25 - $92.75/hr

The Data Architect/Engineer will support our economists and technical experts and will ensure optimal data delivery architecture is designed and developed. They must have a service mindset, be self ...

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Data Delivery information

See salary details

$46K

$165K

$243.5K

How much do data delivery jobs pay per year?

As of Jul 9, 2026, the average yearly pay for data delivery in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in Data Delivery, and why are they important?

To thrive in Data Delivery, you need a solid background in data analysis, data management, and project coordination, often supported by a degree in computer science, information systems, or a related field. Familiarity with data warehousing tools, ETL processes, SQL, and platforms like AWS or Azure is typically required, along with data governance certifications being advantageous. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate with stakeholders and ensure accurate, timely delivery of data solutions. These skills are essential to manage complex data pipelines, drive data-driven decision-making, and support organizational goals.

What is the difference between Data Delivery vs Data Analyst?

AspectData DeliveryData Analyst
Required CredentialsTypically requires technical skills, certifications in data management or related fieldsRequires analytical skills, often a degree in statistics, mathematics, or related fields
Work EnvironmentOften involves collaboration with IT teams, data engineers, and project managersWorks closely with business units, creating reports and insights from data
Employer & Industry UsageCommon in tech, logistics, and data-driven industriesWidely used across finance, marketing, healthcare, and consulting

While Data Delivery focuses on the technical aspects of transferring and managing data, Data Analysts interpret and analyze data to provide actionable insights. Both roles are essential in data-driven organizations but serve different functions within the data lifecycle.

What is Data Delivery?

Data Delivery refers to the process of transporting data from one system, application, or environment to another in a reliable, secure, and timely manner. Professionals in data delivery ensure that relevant data reaches end-users or systems as needed, often using tools and protocols designed for data integration, migration, and distribution. This role is crucial in organizations that rely on data for decision-making, analytics, or operational processes. Effective data delivery helps maintain data accuracy, consistency, and availability across platforms.

What are some common challenges faced in a Data Delivery role, and how can they be addressed?

Professionals in Data Delivery often encounter challenges like managing data quality, ensuring timely delivery of datasets, and coordinating requirements across multiple stakeholders. It can be demanding to balance accuracy with speed, especially when handling large volumes of data from various sources. Open communication with data engineers, analysts, and business users, along with robust data validation processes, helps address these issues. Leveraging automated tools for data integration and monitoring can also significantly streamline workflows and reduce errors.
More about Data Delivery jobs
Infographic showing various Data Delivery job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Data Engineer

$95K - $120K/yr

Full-time

Posted 16 days ago


Job description

We are seeking an accomplished Data Engineer to join our rapidly growing team. This role is responsible for designing, building, and evolving scalable data pipeline architecture to ensure reliable, high-quality data delivery across the organization. The ideal candidate is a hands-on engineer with strong experience building and maintaining data pipelines, and a passion for delivering robust data solutions that enable analytics and business decision-making.
The Data Engineer will partner with data architects, data analysts, data scientists, and cross-functional stakeholders to deliver trusted data assets supporting a wide range of business initiatives. They will ensure efficient and reliable data delivery across multiple teams, systems, and products in a dynamic environment. This role offers the opportunity to evolve and enhance a modern data platform by improving existing pipelines or redesigning them for greater scalability, performance, and maintainability. The successful candidate will apply modern software engineering practices, including AI-assisted development tools, to improve productivity, code quality, and delivery speed while maintaining strong engineering standards.
RESPONSIBILITIES
• Design, develop, and maintain scalable data pipelines and data products for
internal and external consumers.
• Build and optimize batch and near real-time data ingestion, transformation, and
delivery processes.
• Integrate data from internal and external sources to support business, reporting,
and analytics requirements.
• Collaborate with data architects, analysts, data scientists, and business
stakeholders to deliver scalable data solutions and support Sisense dashboards
and analytics assets.
• Design and implement data models that support reporting, analytics, and
operational use cases.
• Ensure data quality, reliability, and performance through monitoring, validation,
automated testing, and troubleshooting.
• Write maintainable, well-documented, and testable code; participate in code
reviews; and leverage AI-assisted development tools to improve quality and
efficiency.
• Support CI/CD, infrastructure automation, technical documentation, and
continuous improvements to data architecture, tooling, and engineering practices
QUALIFICATIONS
• 2-4 years of professional experience in Data Engineering, Data Warehousing, or
related roles.
• Strong hands-on experience with Python and SQL for building scalable data
pipelines and transformation logic.
• Experience with Apache Spark, Parquet, and Azure Databricks, including
Databricks workflows, Delta Lake, Delta Sharing, and Unity Catalog.
• Strong SQL expertise including performance tuning, indexing, partitioning, query
optimization, and stored procedure development.
• Solid understanding of ETL/ELT methodologies, data warehousing principles,
and modern data engineering best practices.
• Experience designing and implementing data models to support analytics,
reporting, and operational use cases.
• Experience supporting or working with BI tools such as Sisense (or similar
platforms).
• Experience with CI/CD pipelines and version control practices (e.g., GitLab,
Jenkins, or equivalent).
• Experience working in fast-paced product environments with an emphasis on
delivery, maintainability, and minimizing technical debt.
• Strong communication skills with the ability to collaborate across technical and
non-technical stakeholders
BONUS QUALIFICATIONS
• Experience building lightweight data applications or internal tools using any of
the following frameworks such as Streamlit, Dash, Flask, Gradio, Shiny, or
Node.js.
• Ability to navigate ambiguity, prioritize effectively, and adapt to changing
business needs.
• Prior experience in financial services or regulated environments is a plus