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Executive Startup Data Engineer Jobs (NOW HIRING)

Saviance

Sr. Data Engineer

Boston, MA

$124.40K - $149.40K/yr

... from executives, analysts, and engineers to customers, vendors, and partners * Evangelize data ... or a mature startup * Proven experience working with various tools but more importantly ...

Gridmatic

Data Engineer

Cupertino, CA

$180K - $235K/yr

Gridmatic is a high-growth startup and a new kind of energy company, delivering affordable, clean ... The role We're looking to hire our first data engineer at Gridmatic! Looking for a startup-minded ...

Gridmatic

Data Engineer

Cupertino, CA · On-site

$180K - $235K/yr

Gridmatic is a high-growth startup and a new kind of energy company, delivering affordable, clean ... The role We're looking to hire our first data engineer at Gridmatic! Looking for a startup-minded ...

Gridmatic

Data Engineer

Cupertino, CA · On-site

$141.30K - $169.60K/yr

Gridmatic is a high-growth startup and a new kind of energy company, delivering affordable, clean ... The role We're looking to hire our first data engineer at Gridmatic! Looking for a startup-minded ...

Gridmatic

Data Engineer

Cupertino, CA · On-site

$180K - $235K/yr

Gridmatic is a high-growth startup and a new kind of energy company, delivering affordable, clean ... The role We're looking to hire our first data engineer at Gridmatic! Looking for a startup-minded ...

Brevian.ai

Data Engineer

Sunnyvale, CA

$136.20K - $163.60K/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 ...

Brevian.ai

Data Engineer

Sunnyvale, CA · On-site

$134.40K - $161.40K/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 ...

Diverse Lynx

Data Engineer

Tampa, FL · Remote

$104.20K - $125.10K/yr

Data Engineer Duration: 12+ Months Contract Location: 100% Remote Role Job Summary • Seeking an ... executive leadership to present insights in a clear, compelling, and strategic manner. • ...

Software Technology Inc

Data Engineer

Eden Prairie, MN · On-site

$116.70K - $140.20K/yr

Data Engineer Project: This area is basically a startup company within OptumRX. Optum frontier therapies (specialty pharmacy) in Vegas and Flint. They are for rare diseases for patients. Don't need ...

Elve

Data Engineer

Davis, CA

$123.80K - $148.60K/yr

Elve Inc Data Engineer Elve, Inc is a deep-tech startup in Davis, CA, specializing in the design and manufacturing of high-efficiency lightweight millimeter-wave and near-THz RF power amplifiers. Our ...

Hired Recruiters

Data Engineer

Austin, TX · On-site +1

$113.50K - $136.30K/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 ...

Curative AI, Inc.

Data Engineer

Bellevue, WA · On-site

$125K - $160K/yr

Curative AI, Inc. is an ambitious innovative early-stage startup revolutionizing the healthcare ... Come work with a CEO renowned in the AI field with a proven record of building high performing ...

Artisan

Staff Data Engineer

New York, NY · On-site

$200K - $300K/yr

Bonus: startup experience Interview process * Introductory chat with our recruiter * 1 hour ... Jaspar, our CEO Our culture and values * Founder mindset. Everyone acts like an owner: take ...

1872 Consulting

Data Engineer

Orlando, FL

$106.90K - $128.40K/yr

Data Engineer We're looking for a data engineer to support our growing business. This role will ... Collaborate with business leaders and executives on reporting/analytics requirements * Work with ...

Tabs

Data Engineer

New York, NY · On-site

$160K - $195K/yr

Experience * 5+ years of experience as a Data Engineer, ideally in a mid-stage startup. * Solid programming skills in Python. * Strong SQL skills and experience designing/data modeling for analytics

Tabs

Data Engineer

New York, NY · On-site

$160K - $195K/yr

Experience * 3-5+ years of experience as a Data Engineer, ideally in a mid-stage startup. * Solid programming skills in Python. * Strong SQL skills and experience designing/data modeling for ...

TABS inc.

Data Engineer

Manhattan, NY

$126.20K - $151.60K/yr

Experience * 3-5+ years of experience as a Data Engineer, ideally in a mid-stage startup. * Solid programming skills in Python. * Strong SQL skills and experience designing/data modeling for ...

Berkley

Data Engineer

Greenwich, CT

$128.60K - $154.40K/yr

Led by our Executive Chairman, founder and largest shareholder, William. R. Berkley and our ... We are seeking a Data Engineer with strong engineering, coding, and problemsolving skills to design ...

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Executive Startup Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

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

As of Jun 1, 2026, the average yearly pay for executive 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 are the key skills and qualifications needed to thrive as an Executive Startup Data Engineer, and why are they important?

To thrive as an Executive Startup Data Engineer, you need expertise in data architecture, advanced analytics, and programming languages like Python or Scala, along with a degree in computer science or a related field. Familiarity with big data platforms (such as Hadoop or Spark), cloud services (like AWS or Google Cloud), and relevant certifications are commonly expected. Leadership, strategic thinking, and effective communication are crucial soft skills for driving data initiatives and collaborating with cross-functional teams in a fast-paced environment. These skills and qualities are vital for building scalable data solutions that support business growth and innovation in a startup setting.

What are some unique challenges Executive Startup Data Engineers face when building data infrastructure in early-stage companies?

Executive Startup Data Engineers often encounter the challenge of building scalable and reliable data pipelines from scratch with limited resources and rapidly evolving business needs. They must balance hands-on technical implementation with strategic planning, frequently adapting solutions as product priorities shift. Collaboration with founders, product teams, and business stakeholders is crucial to ensure that data systems align with overall company goals. Additionally, they may be responsible for mentoring junior engineers and setting data governance practices that will scale as the company grows.

What are Executive Startup Data Engineers?

Executive Startup Data Engineers are senior-level professionals who design, build, and oversee data systems and strategies within startup companies. They bridge the gap between technical data engineering and high-level business objectives, often leading small teams or entire data departments. Their responsibilities include developing data pipelines, ensuring data quality, and delivering insights that drive business growth. In a startup environment, they must be both hands-on and strategic, adapting quickly to evolving technical and business needs.

What is the difference between Executive Startup Data Engineer vs Data Engineer?

AspectExecutive Startup Data EngineerData Engineer
CredentialsTypically requires advanced degrees (Master's or PhD) in data science, computer science, or related fields, with leadership experienceBachelor's or Master's in CS, data science, or related fields, with technical skills
Work EnvironmentStrategic role in startup leadership, involved in decision-making and high-level planningTechnical role focused on data pipeline development, maintenance, and optimization
Employer & Industry UsageFound in startup leadership teams, tech companies, and data-driven startupsCommon across tech, finance, healthcare, and other data-centric industries

The Executive Startup Data Engineer combines technical expertise with strategic leadership, often involved in guiding data initiatives at a high level. In contrast, a Data Engineer primarily focuses on building and maintaining data infrastructure. The executive role requires more experience, leadership skills, and a broader understanding of business goals, while the Data Engineer emphasizes technical proficiency and data management skills.

More about Executive Startup Data Engineer jobs
What cities are hiring for Executive Startup Data Engineer jobs? Cities with the most Executive 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 Executive Startup Data Engineer jobs? States with the most job openings for Executive Startup Data Engineer jobs include:
What job categories do people searching Executive Startup Data Engineer jobs look for? The top searched job categories for Executive Startup Data Engineer jobs are:
Executive Startup Data Engineer jobs near you
Infographic showing various Executive Startup Data Engineer job openings in the United States as of May 2026, with employment types broken down into 56% Full Time, 42% Part Time, 1% Contract, and 1% Nights. Highlights an 92% Physical, 5% Hybrid, and 3% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Sr. Data Engineer

Sr. Data Engineer

Saviance

Boston, MA

$124.40K - $149.40K/yr

Other

Posted 24 days ago

Job description

Data Engineer Role Overview

We are looking for a Data Engineer to design and build a robust set of tools and pipelines to support data analytics efforts. You'll manage and optimize our core infrastructure by creating and maintaining data pipelines. You will work with other engineers and analysts to design, implement, and maintain a data ecosystem that delivers actionable insights to make key business decisions. You have technical chops but can also work independently to prioritize issues, work within ambiguity, and manage conflicting deadlines. You are creative, data-driven, results-oriented, and eager to help us solve data problems of varying complexities. We are open to a Senior or Principal title as well, based on experience level.

Responsibilities
  • Develop technical solutions using proven techniques in data and analytics processes
  • Develop, prototype, and build frameworks based on open source and commercially available tools
  • Orchestrate and maintain data pipelines that meet security standards and ensure the integrity and quality of data
  • Demonstrate a passion for serving the needs of internal and external customers by enabling them with self-service reporting tools and analytics capabilities
  • Drive the execution of data initiatives that provide key performance metrics
  • Understand the data related challenges, nuances, and requirements to identify and recommend the optimal technical approach
  • Train and educate team members as well as stakeholders about best practices in data engineering and governance
  • Collaborate closely with the engineering and devops team to implement DataOps, thus reducing our analytics development cycle
  • Research and improve our data platform to ingest, process, transform, and distribute insightful data to our audience ranging from executives, analysts, and engineers to customers, vendors, and partners
  • Evangelize data driven culture by breaking down silos and encouraging data sharing
Ideal Qualifications

The qualifications below are ideal, but not all are required. We encourage candidates to apply if they satisfy some, but not all of the qualifications.

  • 3+ years of hands-on experience in data engineering for a SaaS company or a mature startup
  • Proven experience working with various tools but more importantly, familiarity with how to best assemble and deploy production ready data stack to any cloud environment
  • BS in a quantitative or scientific field such as computer science, computer engineering or equivalent experience
  • Experience in applying agile software development approach - Git, CI/CD, Jira, etc - to data engineering
  • Expertise with the Python library
  • Exceptional fluency with SQL; you conquered the join venn diagram long ago and have moved on to explaining cost based optimization to your peers on the engineering team
  • Some level of experience working in the cloud - AWS, Azure, or GCP
  • Experience with ingesting, processing, and visualizing data sources of varying types - structured/relational and unstructured
  • Experience in developing, managing, and manipulating large, complex datasets
  • Data-driven, detail-oriented individual with excellent storytelling and problem-solving abilities
  • Ability to work independently and autonomously, as well as part of a team
  • Superb time management, prioritization of tasks and ability to meet deadlines with little supervision

Ideal candidate will thrive in the following culture:

  • Must have an obsession for building quality products
  • Ability to thrive when there are changing priorities and shifting of gears
  • Strong oral and written communication skills
  • Must be a team player with a strong, self-managing work ethic
  • Must be a self-starter with a passion for data, learning and continuous improvement
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About Saviance

Sourced by ZipRecruiter

Saviance is a modern consulting firm providing a variety of professional services to its clients in the US. We bring twenty three years of experience to the table. Our consultants are qualified experts and extremely talented. We understand the business behind the technology, and work with many of the top Fortune 100 companies and provide innovative, scalable, robust and secure solutions. At the forefront of the Staffing and IT Solutions industry, Saviance is certified by NMSDC as a Tier 1, Minority Business Enterprise (MBE) . We are a self- certified Small Business and self- certified Woman Owned Business committed to maximizing global workforce solutions on behalf of our clients, empowering businesses and talent through applied human intelligence. We are a Diversity Supplier with global reach specializing in a business services blend of talent, technology, and a relentless commitment to customer success. It’s our diversity that’s acts as a core component of our culture, our approach to business, and the opportunities we provide to our clients and our employees.

Industry

It services

Company size

201 - 500 Employees

Headquarters location

East Rutherford, NJ, US

Year founded

1999

Social media

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