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Executive Startup Data Engineer Jobs (NOW HIRING)

Data Engineer

Austin, TX ยท On-site

$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 ยท 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

Boston, MA ยท Hybrid

$150K - $250K/yr

... stage startup (Nice-to-have) Proficient in SQL and Python (Mandatory) Expert with modern data ... This Data Engineer role is a great fit for someone who loves pipeline orchestration and wants to ...

AI Data Engineer

Austin, TX ยท On-site

$113K - $136K/yr

... executive and board-level reporting. Applied AI for GTM * Develop and deploy AI tools for high ... Track record of working in a high-growth startup or scale-up environment where priorities evolve ...

Data Engineer

$117K - $140K/yr

Data Engineer Location: San Jose California 95002 Duration: 12 Months Job Type: Temporary ... Experience working in startup environments is a plus. Competencies (Attributes Necessary for ...

You will work closely with the product, engineering, and AI/ML teams to ensure Thesis's data ... startup. Responsibilities * Build core data infrastructure: Design, implement, and maintain ...

Data Engineer

Houston, TX ยท On-site

$109K - $131K/yr

Data Engineer Location - Houston, Tx Duration - 6 months The Data Engineer will support our ... Work with stakeholders including the Executive, Product, Data, and Design teams to assist with data ...

You will work closely with the product, engineering, and AI/ML teams to ensure Thesis's data ... startup. Responsibilities * Build core data infrastructure: Design, implement, and maintain ...

Data Engineer

Scottsdale, AZ

$115K - $139K/yr

... executives Required Skills : Data Warehouse Basic Qualification : Additional Skills : Data Engineer This is a high PRIORITY requisition. This is a PROACTIVE requisition Background Check : No Drug ...

Data Engineer

Denver, CO ยท On-site

$117K - $141K/yr

Data Engineer Visa status: U.S. Citizens and those authorized to work in the U.S. are encouraged to ... Work with stakeholders including the Executive, Product, Data and Design teams to assist with data ...

Data Engineer

Philadelphia, PA ยท On-site

$115K - $138K/yr

Perpay is a certified B Corp and Philadelphia's most impactful growth-stage startup. We are driven ... Data Engineering, Data Science, and Strategic Analytics. Data Engineering owns the warehouse, the ...

Data Engineer

Chicago, IL

$118K - $141K/yr

Communicate with all levels of stakeholders as appropriate, including executives, data modelers, application developers, business users, and customers * Participate in requirements gathering sessions ...

Data Engineer

Washington, DC ยท On-site +1

$129K - $155K/yr

... executives, and internal departments - that need curated data sets for data and analytics use cases. The data engineer must support compliance with data governance and data security and privacy ...

Data Engineer

Auburn Hills, MI ยท On-site

$108K - $130K/yr

... Data-as-a-Service Business Unit, which will harness sensor and other data from millions of ... startup. Mobilisights represents this vision and future. We are part of Stellantis - a global ...

This is a highly impactful role for an experienced data engineer who wants to own critical data infrastructure at a rapidly growing startup. You'll work on complex healthcare and regulatory datasets ...

Data Engineer

Chicago, IL ยท On-site

$118K - $141K/yr

Communicate with all levels of stakeholders as appropriate, including executives, data modelers, application developers, business users, and customers * Participate in requirements gathering sessions ...

Data Engineer

Richmond, VA ยท On-site

$113K - $136K/yr

Data Engineer (NO OPT) Visa status: U.S. citizens and those authorized to work in the U.S. are ... Work with stakeholders including the Executive, Product, Data and Design teams to assist with data ...

Data Engineer

Palo Alto, CA ยท On-site

$134K - $161K/yr

They are seeking a Data Engineer to develop systems and processes for data acquisition, preparation ... XAI is an artificial intelligence startup that develops AI solutions and tools to enhance reasoning ...

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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 8, 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 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 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 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:
Infographic showing various Executive Startup Data Engineer job openings in the United States as of May 2026, with employment types broken down into 16% As Needed, 68% Full Time, 3% Part Time, and 13% Contract. Highlights an 80% Physical, 2% Hybrid, and 18% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Data Engineer

Data Engineer

Cross Screen Media

Austin, TX โ€ข On-site

$113K - $136K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 19 days ago


Job description

Cross Screen Media is founded by industry veterans and gives customers a new way to plan and execute video advertising campaigns. To achieve this, we need an amazing team. Here's where you come in...

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 should be modeled, how systems connect, and how to design for scale. You'll work alongside a senior data engineer and collaborate across a small, high-output team to shape the data layer behind our product, ScreenSolve. We're currently using tools and platforms like Python, Airflow, dbt, AWS and Snowflake.

This is a fully remote position. Face to face communication is important to us, so we have quarterly in-person team meetings at our office in Alexandria, VA. Additionally, we have biannual company offsites to give all of our employees time together in person.

Key Responsibilities
  • Design and develop data pipelines, with an eye toward how they fit into the broader data architecture
  • Make data modeling and schema design decisions - choosing the right structure for how data is stored, accessed, and extended
  • Think beyond the immediate task: consider how today's integration point becomes tomorrow's platform surface area
  • Deliver features rapidly using AI-assisted development tools (Claude Code, etc.)
  • Contribute to definition of user stories
  • Collaborate with other members of the team on development & integration
  • Write unit tests and maintain high code quality, per both static code analysis & team standards
  • Be available on a rotating schedule for production issues
Experience
  • BS in Computer Science or equivalent
  • 5+ years experience in software/data engineering
  • Strong SQL skills
  • Experience with ETL/ELT techniques
  • Strong sense for data architecture - you can look at a set of requirements and reason about how data should be modeled, where it should live, and how schemas should be designed for clarity and reuse
  • Experience with dbt
  • Experience with Airflow or similar orchestration tools
  • Experience with Snowflake or similar cloud data warehouses
  • Experience working with AWS
  • Unix/Linux fundamentals
  • Nice to have: Experience with AI coding tools
  • Nice to have: Exposure to ad tech concepts & terminology
What We Offer
  • Competitive salary with high bonus potential
  • Collaborative and creative atmosphere, with inspired leadership
  • Career advancement opportunities
  • Recognition and reward for outstanding performance
  • Great medical, dental & vision Insurance packages
  • Competitive 401K with company match to plan for the long term
  • Unlimited paid-time-off
  • Transportation benefits & cell phone reimbursement

Unfortunately we are not able to sponsor visas for this position.

Employment Type: FULL_TIME