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Overnight Startup Data Engineer Jobs (NOW HIRING)

Data Engineer

Redwood City, CA · On-site

$120 - $170/hr

As a fast-growing startup, we are seeking a skilled Data Engineer to help develop data-driven solutions that have real-world impact. We are looking for a Data Engineer with hands-on experience in ...

Data Engineer

Rochester, NY · On-site

$113K - $135K/yr

In a startup, you'll have the flexibility to work on diverse challenges and your ideas will be ... Required : • 3-5+ years of professional data engineering experience. • 2-3+ years of hands-on ...

Data Engineer

Sunnyvale, CA · On-site

$134K - $161K/yr

Job title Data Engineer Position overview We are looking for an experienced Data Engineer to join ... You get to experience the 0-1 of building a startup, working with talented engineers from ...

Data Engineer

Rochester, NY · On-site

$110K - $140K/yr

Who We're Looking For Megazone Cloud is looking for a Data Engineer to be a backbone of our data ... You are a "builder" with a true thirst for knowledge and a startup mentality. You're not afraid to ...

Data Engineer

Austin, TX

$150K - $200K/yr

You will be collaborating with a small team of seasoned engineers in a fast-moving startup ... data pipelines and services to delight customers - Owning major projects from inception to ...

Data Engineer

Austin, TX · On-site +1

$113K - $136K/yr

You will be collaborating with a small team of seasoned engineers in a fast-moving startup ... data pipelines and services to delight customers - Owning major projects from inception to ...

Data Engineer

Overland Park, KS

$111K - $133K/yr

Join our team at as a Data Engineer and play a pivotal role in designing, creating, deploying, and ... Analytical thinker with experience working in a fast-paced, startup environment. * Technical ...

Data Engineer

Overland Park, KS · On-site

$90 - $120/hr

Responsibilities Join our team at as a Data Engineer and play a pivotal role in designing, creating ... Analytical thinker with experience working in a fast-paced, startup environment. * Technical ...

Data Engineer

Overland Park, KS · On-site

$111K - $133K/yr

Responsibilities Join our team at as a Data Engineer and play a pivotal role in designing, creating ... Analytical thinker with experience working in a fast-paced, startup environment. * Technical ...

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 ...

Data Engineer

Overland Park, KS · On-site

$111K - $133K/yr

Responsibilities Join our team at as a Data Engineer and play a pivotal role in designing, creating ... Analytical thinker with experience working in a fast-paced, startup environment. * Technical ...

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 ...

Data Engineer

$100K - $170K/yr

Prior startup experience * Experience with Terraform (IaC) * Strong understanding of data ... Degree in a science or engineering discipline * Strong experience with data analytics, statistics ...

Data Engineer

Austin, TX · On-site +1

$113K - $136K/yr

We are looking to hire a Data Engineer with a strong work ethic and a passion for the fast-paced startup life. The ideal candidate doesn't just build pipelines - they think critically about how data ...

Data Engineer

Austin, TX · On-site +1

$113K - $136K/yr

We are looking to hire a Data Engineer with a strong work ethic and a passion for the fast-paced startup life. The ideal candidate doesn't just build pipelines - they think critically about how data ...

$115 - $130/hr

... Best Startup Employers, Deloitte's Technology Fast 500. The Role As a Data Engineer at theGuarantors, you will play a vital role in the development, deployment and maintenance of our data ...

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Showing results 1-20

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 Sep 6, 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

What cities are hiring for Overnight Startup Data Engineer jobs?

Cities with the most Overnight Startup Data Engineer job openings:

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

The most popular types of Startup Data Engineer jobs are:

What states have the most Overnight Startup Data Engineer jobs?

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

What job categories do people searching Overnight Startup Data Engineer jobs look for?

The top searched job categories for Overnight Startup Data Engineer jobs are:

Infographic showing various Overnight Startup Data Engineer job openings in the United States as of August 2026, with employment types broken down into 72% Full Time, 14% Part Time, and 14% Contract. Highlights an 86% In-person, and 14% Hybrid job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Engineer

SupportFinity™

Redwood City, CA • On-site

$120 - $170/hr

Other

Medical, Dental, Vision, Retirement

Posted 4 days ago


Key responsibilities

  • Design and implement data ingestion pipelines into cloud environments.

  • Identify, find, and integrate new datasets from various sources.

  • Analyze time-series and non-relational data to extract insights.


Job description

About Us

GridCARE solves data center developers' most urgent bottleneck - immediate access to power - through a pioneering physics-based generative AI platform that unlocks gigawatts of near-term capacity from today's grid. Partnering with utilities, GridCARE applies a proprietary playbook to create additional network capacity on existing transmission infrastructure without costly upgrades or multi-year delays. Founded at Stanford's Doerr School and backed by leading investors in Energy and AI, GridCARE is working with major technology and data center companies to accelerate interconnection requests for large-load and data center projects.

As a fast-growing startup, we are seeking a skilled Data Engineer to help develop data-driven solutions that have real-world impact.

Job Description

We are looking for a Data Engineer with hands-on experience in data ingestion into cloud environments, finding and retrieving new datasets, and performing analysis on various data types, including time-series and non-relational data. In this role, you'll streamline data processes, ensure data quality and accessibility, and collaborate with UI/UX and AI leads to leverage data for innovative solutions.

This is a unique opportunity to combine deep data engineering and scientific expertise with cutting-edge AI solutions applied to solve the most impactful speed-to-power in the energy industry.

Responsibilities
  • Design and implement data ingestion pipelines into cloud environments, ensuring efficient and scalable data pipelines.
  • Identify, find, and integrate new datasets from various sources, both internal and external.
  • Analyze time-series and non-relational data, extracting valuable insights.
  • Build robust, reusable code to automate data workflows, ensuring reproducibility and scalability.
  • Collaborate with software engineers and domain experts to streamline data processes and improve accuracy.
  • Evaluate data storage and processing resources, including cloud-native solutions.
  • Stay engaged with the latest data engineering and science news, standards, and emerging AI-driven solutions in data management.
Qualifications
  • Bachelor's or higher in Computer Science, Data Science, Electrical Engineering, or a related quantitative field.
  • Proficiency with cloud data platforms (e.g., AWS, GCP, Azure) and data warehousing solutions.
  • Strong coding skills in Python, SQL, including experience with data manipulation libraries (e.g., Pandas, NumPy) and database interaction and version control (git).
  • Ability to write well-documented, tested, and maintainable code.
  • Conduct code reviews and contribute to continuous integration and deployment workflows.
  • Strong understanding of data modeling, ETL processes, and data governance.
  • Knowledge of time-series analysis techniques and non-relational database concepts.
  • Excellent problem-solving, communication, and collaboration skills in a fast-paced startup environment.
Preferred
  • 2+ years of experience in data engineering, data science, or related areas.
  • Experience integrating and tuning 3rd party AI agents.
  • Able to leverage AI code development tools such as Cursor, Copilot, and Claude Code to accelerate development.
  • Experience working with energy data, including Virtual Power Plants (VPPs), batteries, and control systems.
  • Experience with Kubernetes, Terraform, Helm charts and deploying data applications in the cloud.
  • Familiar with DevOps pipelines, tools, and requirements.
What we offer
  • Competitive salary and equity.
  • Comprehensive benefits package: 401k, healthcare, dental, vision, etc.
  • Hybrid work environment with catered lunches and snacks.
  • The chance to work at the intersection of AI, automation, and data systems alongside experienced engineers and leading researchers.
  • A mission-driven team focused on shaping the future of the energy transition.

Join us in tackling one of the most important infrastructure challenges of our time — enabling the energy foundation for the age of AI.

About the company

GridCARE

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