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Overnight Startup Data Engineer Jobs (NOW HIRING)

Rad AI

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

We are seeking a Senior Data Engineer to join our engineering team. With our rapid client growth ... Experience working at an early stage startup. * Experience in a HIPAA compliant environment.

Sigma Computing

Data Engineer

New York, NY · On-site

$140K - $180K/yr

Data Engineer, Data Platform About the Role We are building out our Data Platform team at Sigma ... Startup experience Qualifications We Want (also, skills you'll learn!) * A drive to continuously ...

Sigma Computing

Data Engineer

Manhattan, NY · On-site

$140K - $180K/yr

Data Engineer, Data Platform About the Role We are building out our Data Platform team at Sigma ... Startup experience Qualifications We Want (also, skills you'll learn!) * A drive to continuously ...

Sigma Computing

Data Engineer

San Francisco, CA · On-site

$140K - $180K/yr

Data Engineer, Data Platform About the Role We are building out our Data Platform team at Sigma ... Startup experience Qualifications We Want (also, skills you'll learn!) * A drive to continuously ...

Sigma Computing

Data Engineer

San Francisco, CA · On-site

$140K - $180K/yr

Data Engineer, Data Platform About the Role We are building out our Data Platform team at Sigma ... Startup experience Qualifications We Want (also, skills you'll learn!) * A drive to continuously ...

Elve Inc

Data Engineer

Davis, CA · On-site

$85K - $150K/yr

Who is Elve? Elve, Inc is a deep-tech startup in Davis, CA, specializing in the design and ... The Data Engineer will design and deploy data pipelines and databases, statistical analysis tools ...

Elve Inc

Data Engineer

Davis, CA

$85K - $150K/yr

Who is Elve? Elve, Inc is a deep-tech startup in Davis, CA, specializing in the design and ... The Data Engineer will design and deploy data pipelines and databases, statistical analysis tools ...

Elve Inc

Data Engineer

Davis, CA · On-site

$85K - $150K/yr

Who is Elve? Elve, Inc is a deep-tech startup in Davis, CA, specializing in the design and ... The Data Engineer will design and deploy data pipelines and databases, statistical analysis tools ...

Swish Analytics

Data Engineer

San Francisco, CA · Remote

$145K/yr

Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the ... The Swish Analytics team is seeking Data Engineers based in Europe to have a direct impact on the ...

Gridmatic Inc

Data Engineer

Cupertino, CA · On-site

$180K - $235K/yr

We're looking for a startup-minded data engineer who can wear a lot of hats, work with multiple teams, and build the data platform needed to support answering these questions. What you might work on:

New

TMS

Software Engineer, ML Data Reliability

Cupertino, CA · On-site

$141K - $169K/yr

Full Time Permanent Role On W2 We're looking to hire our first data software engineer client is Looking for a startup-minded eng who works closely with our ML and optimization teams to ingest and ...

Arbor

Data Engineer

Washington, DC · Remote

$117K - $140K/yr

What You Bring 3-6+ years of experience in a data engineering or analytics engineering role, ideally at a high-growth startup or in a domain involving complex, real-time data (energy, fintech ...

Arbor

Data Engineer

Philadelphia, PA · Remote

$117K - $140K/yr

What You Bring 3-6+ years of experience in a data engineering or analytics engineering role, ideally at a high-growth startup or in a domain involving complex, real-time data (energy, fintech ...

SignalFire

Data Engineer - VC Backed Startups

New York, NY · On-site

$125K - $150K/yr

Help define the company's broader data architecture and technical roadmap Common Qualifications While each startup has its own hiring criteria, many Data Engineer roles in our network look for: * 3+ ...

Arbor

Data Engineer

Boston, MA · Remote

$117K - $140K/yr

What You Bring 3-6+ years of experience in a data engineering or analytics engineering role, ideally at a high-growth startup or in a domain involving complex, real-time data (energy, fintech ...

Arbor

Data Engineer

Austin, TX · Remote

$117K - $140K/yr

What You Bring 3-6+ years of experience in a data engineering or analytics engineering role, ideally at a high-growth startup or in a domain involving complex, real-time data (energy, fintech ...

Regard

Data Engineer

New York, NY · Remote

$160K - $190K/yr

As a Data Engineer at Regard, you will help build and maintain the data pipelines and ... Experience working with cross-functional teams in a fast-paced startup environment Hybrid Work ...

Regard

Data Engineer

New York, NY · On-site

$160K - $190K/yr

As a Data Engineer at Regard, you will help build and maintain the data pipelines and ... Experience working with cross-functional teams in a fast-paced startup environment Hybrid Work ...

Regard

Data Engineer

Los Angeles, CA · Remote

$160K - $190K/yr

As a Data Engineer at Regard, you will help build and maintain the data pipelines and ... Experience working with cross-functional teams in a fast-paced startup environment Hybrid Work ...

Swish Analytics

Data Engineer

San Francisco, CA · Remote

$160K/yr

Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the ... The Swish Analytics team is seeking Data Engineers to have a direct impact on the infrastructure ...

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Showing results 41-60

All JobsStartup Data Engineer JobsOvernight Startup Data Engineer Jobs

Overnight Startup Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do overnight startup data engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for overnight startup data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What is the difference between Overnight Startup Data Engineer vs Data Analyst?

AspectOvernight Startup Data EngineerData Analyst
Required CredentialsBachelor's in CS, Data Science, or related; experience with data pipelinesBachelor's in Statistics, Business, or related; proficiency in data visualization
Work EnvironmentFast-paced startup, often remote, with focus on data infrastructureOffice or remote, analyzing data to support business decisions
Employer & Industry UsageStartups, tech companies, e-commerceVarious industries including finance, marketing, healthcare
Common Search & ComparisonOvernight Startup Data Engineer vs Data Analyst

The Overnight Startup Data Engineer focuses on building and maintaining data pipelines and infrastructure, often working overnight shifts to support real-time data needs. In contrast, a Data Analyst primarily interprets data to generate reports and insights for business strategies. While both roles require analytical skills, data engineering emphasizes technical infrastructure, whereas data analysis centers on data interpretation and visualization.

More about Overnight Startup Data Engineer jobs

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What are the most commonly searched types of Startup Data Engineer jobs?

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States with the most job openings for Overnight Startup Data Engineer jobs include:

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Overnight Startup Data Engineer jobs near you
Infographic showing various Overnight Startup Data Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Engineer

Rad AI

San Francisco, CA • On-site

$134K - $162K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 8 days ago

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 collection systems, 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 Metaflow 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.
  • Continuously monitor, maintain, and improve the performance and stability of the data infrastructure.

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.
  • Solid experience with big data processing and analytics on AWS, using services such as Amazon EMR and AWS Batch.
  • Experience in large scale data processing technologies such as Spark.
  • Expertise in orchestrating workflows using tools like Metaflow.
  • Experience with various database technologies including SQL, NoSQL databases (e.g., AWS DynamoDB, ElasticSearch, Postgresql).
  • Hands-on experience with containerization technologies, such as Docker and Kubernetes.
  • Prior Software Engineering experience is a big 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 and be sure to follow us on LinkedIn to stay up to date!
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

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