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Data Engineer Project Jobs (NOW HIRING)

Rad AI

Data Engineer

San Francisco, CA · On-site +1

$145K - $200K/yr

Take ownership of key data engineering projects and work independently to design, develop, and maintain high-quality data solutions. * Ensure data quality, integrity, and security by implementing ...

Green River Data Group Inc.

Data Engineer

$117K - $140K/yr

This role will support projects that matter by designing, building, and maintaining robust data ... Adhere to company engineering standards and best practices, with particular attention to data ...

Green River Data Group Inc.

Data Engineer

$117K - $140K/yr

This role will support projects that matter by designing, building, and maintaining robust data ... Adhere to company engineering standards and best practices, with particular attention to data ...

Green River Data Group Inc.

Data Engineer

$117K - $140K/yr

This role will support projects that matter by designing, building, and maintaining robust data ... Adhere to company engineering standards and best practices, with particular attention to data ...

ShortList Recruitment Limited

$105K - $127K/yr

The Data Engineer will work as part of a project team to improve the data solutions across the organization. The role is hybrid with four days per week in office in central Columbia. Key ...

Changeis

Data Engineer

$117K - $140K/yr

Most of our positions are remote, providing flexibility while working on impactful federal projects. Key Skills amp; Qualifications We're Looking For: * Data Engineering amp; ETL: Experience ...

Breeze Airways

Data Engineer Staff

Charleston, WV · On-site

$106K - $127K/yr

Lead the Data Engineering team in designing and building solutions that support the "ilities ... Able to complete projects on time with minimal supervision, and to work varied hours when necessary ...

Breeze Airways

$84K - $101K/yr

Lead the Data Engineering team in designing and building solutions that support the "ilities ... Able to complete projects on time with minimal supervision, and to work varied hours when necessary ...

campus4tech

Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

Lead end-to-end data science projects using agile and iterative approaches. * Develop and deploy AI/ML models, including propensity modeling. * Drive data engineering requirements to support model ...

Royal Electric

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

These values support our core purpose; to build great relationships, one project at a time! We ... ROLE SUMMARY The Data Engineer is a technology professional embedded within the Digital ...

Royal Electric

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

These values support our core purpose; to build great relationships, one project at a time! We ... ROLE SUMMARY The Data Engineer is a technology professional embedded within the Digital ...

Royal Electric

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

These values support our core purpose; to build great relationships, one project at a time! We ... ROLE SUMMARY The Data Engineer is a technology professional embedded within the Digital ...

Royal Electric

$104K - $125K/yr

These values support our core purpose; to build great relationships, one project at a time! We ... ROLE SUMMARY The Data Engineer is a technology professional embedded within the Digital ...

BC Forward

Data Engineer

Spring, TX · On-site

$47 - $61.62/hr

Data Engineer Location: Spring, TX Duration: Contract - 3 months Pay Range: $47.07/hr $61.62/hr (W2 ... Collaborate with Program/Project Managers, Architects, and Infrastructure teams to plan, estimate ...

New

Phase2 Technology

Data Engineer

Fort George G Meade, MD · On-site

$77K - $176K/yr

R0241771 The opportunity for a senior data engineer who can turn data into insight for mission‑critical projects such as fraud detection, cancer research, and national intelligence. The Opportunity ...

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Data Engineer Project information

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$46K

$165K

$243.5K

How much do data engineer project jobs pay per year?

As of Sep 10, 2026, the average yearly pay for data engineer project 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 a data engineer project?

A Data Engineer Project refers to a specific initiative or assignment undertaken by data engineers to design, build, and maintain systems that gather, process, and store large volumes of data. These projects often involve creating data pipelines, integrating multiple data sources, ensuring data quality, and optimizing storage solutions for analytics or business intelligence. Such projects are critical for organizations to manage their data efficiently and enable data-driven decision-making. Data Engineer Projects can range from building a data warehouse to implementing real-time data streaming solutions.

What are some common challenges faced by data engineers working on project-based teams?

Data Engineers on project-based teams often encounter challenges such as integrating data from disparate sources, ensuring data quality and consistency, and meeting tight project deadlines. Collaboration with data scientists, analysts, and software engineers is crucial, requiring clear communication to translate business needs into robust data pipelines. Additionally, adapting to evolving technologies and toolsets is essential for the successful delivery of scalable and maintainable solutions.

What are the key skills and qualifications needed to thrive as a data engineer, and why are they important?

To thrive as a Data Engineer, you need strong proficiency in programming (Python, Java, or Scala), data modeling, and database management, often supported by a degree in computer science or a related field. Familiarity with big data tools (like Hadoop, Spark), ETL systems, cloud platforms (AWS, Azure, GCP), and relevant certifications is highly beneficial. Analytical thinking, problem-solving, and effective communication are crucial soft skills for collaborating with data teams and stakeholders. These competencies are essential for building reliable data pipelines and ensuring data availability and quality to drive business insights.

What is the difference between Data Engineer Project vs Data Engineer?

AspectData Engineer ProjectData Engineer
CredentialsTypically requires a degree in Computer Science, Data Science, or related fields; certifications like AWS, Google Cloud, or Azure are commonSimilar credentials; often holds certifications in cloud platforms and data tools
Work EnvironmentProject-based, often temporary teams working on specific data solutionsFull-time role within organizations, maintaining ongoing data pipelines and infrastructure
Industry UsageUsed across industries for specific data initiativesCore role in data-driven companies and departments
Search & Comparison IntentOften searched for project-based roles or freelance opportunitiesMore common in job searches for permanent positions

In summary, Data Engineer Projects focus on temporary, goal-specific data tasks, while Data Engineers hold ongoing roles responsible for maintaining data infrastructure. Both roles require similar skills and certifications but differ mainly in scope and employment type.

Are data engineers still in high demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. Skills in cloud platforms, data pipeline development, and tools like SQL, Python, and Apache Spark enhance job prospects in this field.

Is a data engineer paid well?

Data engineers are generally well-compensated due to their specialized skills in managing large datasets, working with tools like SQL, Python, and cloud platforms. Salaries vary by experience, location, and industry, but they tend to be higher than average for tech roles, reflecting the demand for data infrastructure expertise.
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Data Engineer Project jobs near you
Infographic showing various Data Engineer Project 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

San Francisco, CA • On-site, Remote

Rad AI
See more jobs at Rad AIexternal

$145K - $200K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 3 days ago

Key responsibilities

  • Design and implement the data architecture using pipeline authoring tools and large-scale data processing technologies.

  • Collaborate with researchers and stakeholders to understand data needs and develop solutions that meet those requirements.

  • Take ownership of data engineering projects to design, develop, and maintain high-quality data solutions.

Job description

About Rad AI
At Rad AI, we're on a mission to transform healthcare with artificial intelligence. Founded by a radiologist, our AI-driven solutions are revolutionizing radiology-saving time, reducing burnout, and improving patient care. With one of the largest proprietary radiology report datasets in the world, our AI has helped uncover hundreds of new cancer diagnoses and reduced error rates in tens of millions of radiology reports by nearly 50%.
Rad AI has secured over $140M in funding, including a recently oversubscribed Series C ($68M round) led by Transformation Capital, bringing our valuation to $528M. Our investors include Khosla Ventures, World Innovation Lab, Gradient Ventures, Cone Health Ventures, and others-all backing our mission to empower physicians with cutting-edge AI.
Our latest advancements in generative AI are used by thousands of radiologists daily, supporting more than one-third of radiology groups and healthcare systems and nearly 50% of all medical imaging in the U.S. at partners including Cone Health, Jefferson Einstein Health, Geisinger, Guthrie Healthcare System, and Henry Ford Health.
Recognized as one of the most promising healthcare AI companies by CB Insights and AuntMinnie, and ranked by Deloitte as the 19th fastest-growing company in North America, we are building AI-powered solutions that make a real impact. Most recently, Rad AI was named to CNBC's Disruptor 50 list, highlighting the innovation and momentum behind our mission.
If you're ready to shape the future of healthcare, we'd love to have you on our team!
Why Join Us:
We are seeking a Senior Data Engineer to join our engineering team. With our rapid client growth and ambitious plans for the year ahead, we are expanding the team and looking for a skilled professional to play a key role in building and maintaining data platform, pipelines, and management tools.
What You'll Be Doing:
  • Design and implement the data architecture, ensuring scalability, flexibility, and efficiency using pipeline authoring tools like Apache Airflow, AWS Glue and large-scale data processing technologies like Spark.
  • Define and extend our internal standards for style, maintenance, and best practices for a high-scale data platform.
  • Collaborate with researchers and other stakeholders to understand their data needs including model training and production monitoring systems and develop solutions that meet those requirements.
  • Take ownership of key data engineering projects and work independently to design, develop, and maintain high-quality data solutions.
  • Ensure data quality, integrity, and security by implementing robust data validation, monitoring, and access controls.
  • Evaluate and recommend data technologies and tools to improve the efficiency and effectiveness of the data engineering process.

Who We're Looking For:
  • 5+ years relevant experience in data engineering.
  • Expertise in designing and developing distributed data pipelines using big data technologies on large scale data sets.
  • Deep and hands-on experience designing, planning, productionizing, maintaining and documenting reliable and scalable data infrastructure and data products in complex environments.
  • Experience with various database technologies including SQL, NoSQL databases (e.g., AWS DynamoDB, ElasticSearch, Postgresql).
  • Designed, built and maintained data infrastructure using IaC like Terraform.
  • Prior Software Engineering experience is a plus.

Nice to Haves:
  • Experience working at an early stage startup.
  • Experience in a HIPAA compliant environment.
  • Experience working on machine learning or healthcare related projects.

Join our world-class team as we build and deploy AI solutions that empower physicians and transform patient care-making a meaningful impact on millions of lives. Driven by our mission, we prioritize transparency, inclusion, and close collaboration, bringing together exceptional people to revolutionize healthcare. If you're passionate about driving innovation and delivering impactful healthcare solutions, we'd love to hear from you!
To learn more about what it's like to work at Rad AI, visit https://www.radai.com/life-at-rad-ai and be sure to follow us on LinkedIn to stay up to date!
Location Details:
For roles listed as San Francisco - Onsite:
  • This role will be based in our San Francisco office and we expect employees to work onsite four days per week. The remaining time may be worked remotely or onsite, depending on team and business needs.

For roles listed as United States - Remote:
  • This role is open to candidates located anywhere in the United States.

For roles listed as San Francisco - Onsite + United States - Remote:
  • We will prioritize candidates who can work onsite four days per week in San Francisco, while also considering remote candidates located anywhere in the United States.

For US-Based Full-Time Roles, Rad AI offers a variety of benefits, including:
  • Comprehensive Medical, Dental, Vision & Life insurance
  • HSA (with employer match), FSA, & DCFSA
  • 401(k)
  • 11 Paid Company Holidays
  • Flexible PTO policy
  • Annual company-wide offsite
  • Periodic team offsites
  • Annual equipment stipend
  • For roles based outside the US, your recruiter can share more details

At Rad AI, we value diversity and provide equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
Please be vigilant regarding job scams. We advise all candidates to apply directly through our official careers page. Our recruiters will use email addresses with the domain @radai.com or no-reply@ashbyhq.com.

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