1

Data Delivery Jobs (NOW HIRING)

Data Engineer Intern

Los Angeles, CA

$123.40K - $148.20K/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

$106.90K - $128.40K/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 - Databricks & Snowflake

$117.20K - $140.70K/yr

... delivery processes Participate in knowledge transfer sessions with external partners before the end of the year Design, implement, and manage Snowflake Data Warehouse solutions

Data Engineer

Warren, MI · On-site

$45 - $50/hr

The Data Engineer handles leading and delivering new and innovative data driven solutions that are elegant and professional. You will work closely with our forward-thinking Data Scientists, BI ...

Data Engineering Lead- Finance

Richmond, VA

$113.30K - $136.10K/yr

Own data delivery for specific business verticals by translating stakeholder needs into scalable, reliable, and well-documented data solutions. * Participate in requirements gathering, technical ...

... data delivery and corresponding automated validation controls • Strong Analytical skills and expertise on SparkSQL for Data analysis and validation ensuring the delivery of clean queryready ...

Data Engineering Lead- Finance

Raleigh, NC

$111.30K - $133.70K/yr

Own data delivery for specific business verticals by translating stakeholder needs into scalable, reliable, and well-documented data solutions. * Participate in requirements gathering, technical ...

Data Engineering Lead- Finance

Raleigh, NC · On-site

$111.30K - $133.70K/yr

Own data delivery for specific business verticals by translating stakeholder needs into scalable, reliable, and well-documented data solutions. * Participate in requirements gathering, technical ...

Data Engineering Lead- Finance

Houston, TX

$109.30K - $131.30K/yr

Own data delivery for specific business verticals by translating stakeholder needs into scalable, reliable, and well-documented data solutions. * Participate in requirements gathering, technical ...

Data Engineering Lead- Finance

Atlanta, GA · On-site

$110.10K - $132.20K/yr

Own data delivery for specific business verticals by translating stakeholder needs into scalable, reliable, and well-documented data solutions. * Participate in requirements gathering, technical ...

Data Engineering Lead- Finance

Dallas, TX

$113.30K - $136K/yr

Own data delivery for specific business verticals by translating stakeholder needs into scalable, reliable, and well-documented data solutions. * Participate in requirements gathering, technical ...

Data Engineer

Manhattan, NY · On-site

$126K - $151.30K/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 ...

next page

Showing results 1-20

Data Delivery information

See salary details

$46K

$165K

$243.5K

How much do data delivery jobs pay per year?

As of May 30, 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 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.

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 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.

More about Data Delivery jobs
Portuguese (Portugal) Data Labeling Associate((Human-in-the-Loop AI))

Portuguese (Portugal) Data Labeling Associate((Human-in-the-Loop AI))

Welo Data

Seattle, WA • On-site

Full-time

Posted 3 days ago


Job description

Job Summary:
Welo Data is looking for detail-oriented individuals to join their team as Data Labeling Associate. The role involves evaluating AI outputs, identifying gaps, and improving AI systems in real-world scenarios.
Responsibilities:
• Evaluate AI model outputs and provide structured, high-quality feedback
• Perform audit-based reviews of data and model behavior — identifying patterns, edge cases, and failure modes
• Apply guidelines thoughtfully — and flag when they don’t reflect real-world scenarios
• Contribute to improving evaluation frameworks, not just executing them
• Identify trends in model performance and communicate insights clearly
• Participate in team discussions, calibrations, and stakeholder syncs
• Partner with leads and cross-functional teams to refine quality standards
• Document findings in a clear, concise, and actionable way
Qualifications:
Required:
• Native-level language proficiency and a university degree (Bachelor’s or higher).
• B2 or superior level of English.
• 1–2 years of professional writing experience with strong, structured writing skills.
• Ability to apply complex writing rules and guidelines consistently.
• Strong understanding of safety considerations in GenAI data delivery, with 2+ years of relevant experience.
• Strong critical thinking and attention to detail.
• Ability to make sound judgment calls in ambiguous situations.
• Naturally curious about AI, technology, and how systems behave.
• Comfortable speaking up, asking questions, and contributing ideas.
• Strong written and verbal communication skills.
• Ability to stay consistent while working with evolving guidelines.
Preferred:
• Experience in data quality, QA, annotation, or analysis is helpful — but not required.
Company:
With 27+ years of experience, Welo Data is the human-centered infrastructure for globally effective AI. Founded in , the company is headquartered in , , with a team of 1001-5000 employees. The company is currently Late Stage.