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Executive Startup Data Engineer Jobs (NOW HIRING)

Perpay Inc.

Data Engineer

Philadelphia, PA · On-site

$109K - $131K/yr

Perpay Inc. is a certified B Corp and Philadelphia's most impactful growth-stage startup focused on improving the financial stability of everyday Americans. The Data Engineer will be responsible for ...

Doctronic Inc

Senior Data Engineer

New York, NY · On-site

$200K - $275K/yr

... our executive dashboards What We're Looking For * 5+ years of data engineering experience ... Prior experience as the first or only data engineer at a startup Compensation & Benefits * Base ...

New

Quantiphi

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Senior Data Engineer Experience Level: 5+ yrs Work Location: Atlanta, GA Role Overview As a Senior ... Executive Visibility: Work directly with C-suite leaders, industry executives, and strategic ...

1872 Consulting

Data Engineer

Orlando, FL · Hybrid

$106K - $128K/yr

... executive team, to gather requirements. This role must have the technical skills to take those ... with Data Engineering and/or ETL DevelopmentExperience building data pipelines in cloud ...

1872 Consulting

Data Engineer

Orlando, FL · Hybrid

$106K - $128K/yr

... executive team, to gather requirements. This role must have the technical skills to take those ... with Data Engineering and/or ETL DevelopmentExperience building data pipelines in cloud ...

Third Wave Automation

Sr. Data Engineer

Union City, CA · On-site

$130K - $156K/yr

Company Description Third Wave Automation is a rapidly growing startup that has demonstrated its ... Excellent presentation skills with the ability to influence executives and engineering leads by ...

Cross Screen Media

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 ...

Cross Screen Media

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 ...

MegazoneCloud

Sr. Data Engineer

Rochester, NY · On-site

$145K - $165K/yr

You have a startup mentality, a thirst for knowledge, and the ability to lead projects and mentor ... What You Bring (Requirements) * 5-8+ years of professional data engineering experience. * Deep ...

Third Wave Automation

Sr. Data Engineer

Union City, CA · On-site

$130K - $156K/yr

Company Description Third Wave Automation is a rapidly growing startup that has demonstrated its ... Excellent presentation skills with the ability to influence executives and engineering leads by ...

Arbor

Data Engineer

$117K - $140K/yr

Required : • 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 ...

ALKEME Insurance

Data engineer

Denver, CO · On-site

$117K - $141K/yr

ALKEME Insurance is seeking a highly skilled data engineer to join their team in Denver, CO. The ... executive benefits, retirement and wealth management services. Founded in 2020, the company is ...

Arbor

Data Engineer

$117K - $140K/yr

Required : • 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

$117K - $140K/yr

Required : • 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 ...

Booz Allen Hamilton

Data Engineer

Fort George G Meade, MD · On-site

$77K - $176K/yr

R0244467 Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and ... executive decision-making * Experience working with large, complex datasets while ensuring data ...

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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 Aug 21, 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 is an executive startup data engineer?

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 are the key skills and qualifications needed to thrive as an executive startup data engineer?

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 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.

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Executive Startup Data Engineer jobs near you
Infographic showing various Executive Startup Data Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Engineer

Perpay Inc.

Philadelphia, PA • On-site

$109K - $131K/yr

Full-time

Re-posted 9 days ago

Job description

Job Summary:
Perpay Inc. is a certified B Corp and Philadelphia’s most impactful growth-stage startup focused on improving the financial stability of everyday Americans. The Data Engineer will be responsible for owning the data warehouse, orchestration layer, and pipelines, ensuring reliable data movement and supporting various business functions.
Responsibilities:
• Own the warehouse, the orchestration layer, and the pipelines that move data from our operational systems to everyone who depends on it.
• Partner directly with Engineering, Risk, Commerce, Accounting, and Compliance, owning both the platform infrastructure and the business problems it's built to solve.
• Write code that someone else has to maintain, document the parts we wish someone had documented for us, and argue about the right design in review rather than discover the wrong one in production.
• Get oriented in the warehouse, walk through our most-used pipelines with the rest of the team, and read enough of the codebase to start asking useful questions.
• Ship your first commit to production; it could be a bug fix, a documentation update, or a small improvement to something nobody's loved in a while.
• Get fluent in our Airflow setup, our Redshift conventions, and our governance tooling in DataHub.
• Complete your first end-to-end pipeline or pipeline change in collaboration with a downstream team (Risk, Marketing, Finance, or similar).
• Start reviewing PRs from other data engineers on the team, bringing pragmatic and constructive feedback to challenging problems.
• Be the technical lead on your first meaningful project, guiding it from design through implementation, testing, and rollout.
• Participate in architecture discussions for upcoming work and contribute opinions on where the platform should be going.
• Own a meaningful slice of our infrastructure roadmap as our product offering scales and the modeling, reporting, and service load grow with it.
Qualifications:
Required:
• At least two years of production data engineering experience in a comparable environment.
• Comfort moving across SQL, Python, orchestration, and infrastructure-as-code without needing one of them to be your specialty.
• Experience with data quality, pipeline reliability, or stakeholder communication.
• Ability to lead design decisions on a data pipeline or platform, including alternatives considered and trade-offs made.
Company:
About Us: We believe everyone deserves a chance to improve their financial future. Founded in 2014, the company is headquartered in Philadelphia, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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