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Data Delivery Jobs (NOW HIRING)

Data Engineer

Bethesda, MD · On-site

$100 - $125/hr

Our capabilities include IT Talent Solutions, Data Delivery & Analytics, Cyber Security, Cloud Migration, Applications and Infrastructure, Software Development, and Finance & Accounting. M9 Solutions ...

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

Leawood, KS · On-site

$111K - $133K/yr

The Data Engineer partners closely with data architecture, analytics, and business teams to deliver robust solutions across the modern data stack. This position is fully in office 5 days a week in ...

Senior Data Analyst

Chicago, IL · On-site

$90K - $125K/yr

Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real ... We're looking for an experienced Senior Data Analyst to help us design and execute on clinical ...

Senior Data Analyst

Chicago, IL · On-site +1

$90K - $125K/yr

Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real ... We're looking for an experienced Senior Data Analyst to help us design and execute on clinical ...

Data Engineer II

Smyrna, GA · On-site

$114K - $137K/yr

Identify opportunities to improve infrastructure, scalability, reliability, and data delivery. AI and Automation * Leverage AI, Generative AI, and AI-assisted development tools to accelerate data ...

Data Engineer II

Smyrna, GA · On-site

$100 - $125/hr

Identify opportunities to improve infrastructure, scalability, reliability, and data delivery. AI and Automation * Leverage AI, Generative AI, and AI-assisted development tools to accelerate data ...

Scrum Master - Data focus

Dallas, TX · On-site

$51 - $68/hr

Coach teams in Agile best practices applicable to data work (incremental delivery of data assets, continuous validation, versioning of data schemas, etc.). * Manage dependencies between data teams ...

Ensure data platforms can support real-time, on-demand, batch, and varying data delivery requirements. * Partner with analytics and BI leadership to ensure data engineering capabilities effectively ...

$111K - $121K/yr

Lead a delivery team to develop data pipelines, transform raw data into useful data systems, and optimize data delivery architecture. Design, build, refactor, and maintain data pipelines using ...

Design analytics tools that utilize the data pipeline to deliver actionable insights into customer acquisition, operational efficiency, and other key business performance metrics. * Provide ongoing ...

Senior Data Architect

Washington, DC · On-site

$76.25 - $102/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 ...

Data Engineer

Bethesda, MD · On-site

$150K - $164K/yr

Our capabilities include IT Talent Solutions, Data Delivery & Analytics, Cyber Security, Cloud Migration, Applications and Infrastructure, Software Development, and Finance & Accounting. M9 Solutions ...

Showing results 41-60

Data Delivery information

See salary details

$46K

$165K

$243.5K

How much do data delivery jobs pay per year?

As of Sep 8, 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 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 the key skills and qualifications needed to thrive in data delivery?

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 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 does a data delivery lead do?

A data delivery lead manages the process of ensuring data is accurately collected, processed, and delivered to stakeholders. They coordinate between data teams, oversee project timelines, and often use tools like SQL, data pipelines, and reporting platforms to ensure timely and reliable data delivery.
More about Data Delivery jobs

What are popular job titles for Data Delivery?

Popular job titles for Data Delivery:

Infographic showing various Data Delivery job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Engineer

Bethesda, MD • On-site

$100 - $125/hr

Other

Posted 7 days ago


Job description

M9 Solutions is dedicated to providing IT services and solutions to the Federal Government by mobilizing the right people, skills, clearance levels, and technologies to help organizations that desire improved performance and modern, sustainable change. M9 has provided quality IT services and support to more than 30 Federal Agencies and multiple commercial customers nationwide. Our capabilities include IT Talent Solutions, Data Delivery & Analytics, Cyber Security, Cloud Migration, Applications and Infrastructure, Software Development, and Finance & Accounting.

M9 Solutions is seeking a Data Engineer to support a government contract for a client in Bethesda, MD. An active Top Secret SCI clearance is required.

Responsibilities
  • Identify, design, and implement internal process improvements, including redesigning infrastructure for greater scalability, optimizing data delivery, and automating manual processes.
  • Develop and design data pipelines to support an end-to-end solution.
  • Develop and maintain artifacts (e.g., schemas, data dictionaries, and transforms related to ETL processes).
  • Integrate data pipelines with AWS cloud services to extract meaningful insights.
  • Work with stakeholders to support their data infrastructure needs and assist with data-related technical issues.
  • Design and develop robust and functional data flows to support raw data and expected data.
  • Provide Tier 3 technical support for deployed applications and dataflows.
  • Define and communicate a clear product vision for the client’s software products, aligning with user needs and business objectives.
  • Create and manage product roadmaps that reflect both innovation and growth strategies.
  • Partner with a government product owner and a product team of 7-8 full-time employees.
  • Collaborate with the rest of the data engineering team to design and launch new features.
  • Coordinate and document dataflows, capabilities, etc.
  • Occasionally (as needed) support for off-hours deployment, such as evenings or weekends.
Required Skills and Qualifications
  • Top Secret SCI security clearance.
  • Bachelor's degree or equivalent practical experience.
  • Expertise in distributed computing frameworks to handle large-scale data processing.
  • Familiarity with working with Amazon Web Services (AWS) or any other cloud environments.
  • Working experience with datastores like PostgreSQL, S3, Redshift, MongoDB/DynamoDB, Redis, Elasticsearch/OpenSearch, and SQL.
  • Proficient in utilizing Python with key libraries like pandas and PySpark, NiFi, Airflow, AWS Lambda, or similar technologies.
  • Working knowledge of software platforms and services, such as Docker, Kubernetes, JMS/SQS, SNS, and Kafka.
  • Familiar with Linux/Unix server environments.
  • Experience with Agile development methodology.
  • Publishing and/or presenting design reports.
  • Coordinating with other team members to reach project milestones and deadlines.
  • Working knowledge of Collaboration tools, such as Jira and Confluence.
Preferred Qualifications
  • Master's degree or equivalent experience in a related field.
  • Familiarity and experience with the Intelligence Community and the intel cycle.
  • Experience with cloud message APIs and usage of push notifications.
  • Keen interest in learning and using the latest software tools, methods, and technologies to solve real-world problem sets vital to national security.
  • Working knowledge of public keys and digital certificates.
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