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Executive Startup Data Engineer Jobs (NOW HIRING)

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 ...

Staff Data Engineer

Arlington, VA · Remote

$185K - $220K/yr

Build scalable data products for data scientists, transportation engineers, and executives to drive ... Bonus program and equity in a fast-growing startup * Competitive medical, dental, and vision ...

$185K - $220K/yr

Build scalable data products for data scientists, transportation engineers, and executives to drive ... Bonus program and equity in a fast-growing startup * Competitive medical, dental, and vision ...

Sr. Data Engineer

Palo Alto, CA · On-site

$145K - $220K/yr

Allocate is looking for a Senior Data Engineer to help build out the data infrastructure that ... As a fintech startup on a mission to make investing in top-tier private markets more accessible, we ...

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 ...

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

Philadelphia, PA · 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

San Francisco, CA · On-site +1

$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 ...

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 ...

Build and maintain executive-level dashboards and self-serve reporting tools that enable business ... Partner closely with data science, product manager, and engineering teams to translate business ...

Data Engineer

Chicago, IL · 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

San Francisco, CA · On-site +1

$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 ...

Seed-Funded SaaS Startup | Data Infrastructure / GTM Enablement About the Role This role is for someone who truly wants to be a founding Account Executive, the kind of seller who gets energy from ...

Data Engineer, Amazon Ads

Seattle, WA

$130K - $156K/yr

... startup team within Amazon Ads Finance with an ambitious vision and the runway to build it right ... ad-hoc executive asks with bias for action - Simplify complexity - turn messy, multi-source data ...

Data Engineer

San Francisco, CA · On-site

$145K - $190K/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.

Data Engineer, Amazon Ads

New York, NY · On-site

$125K - $150K/yr

... startup team within Amazon Ads Finance with an ambitious vision and the runway to build it right ... ad-hoc executive asks with bias for action - Simplify complexity - turn messy, multi-source data ...

Data Engineer, Amazon Ads

New York, NY · On-site

$125K - $150K/yr

... startup team within Amazon Ads Finance with an ambitious vision and the runway to build it right ... ad-hoc executive asks with bias for action - Simplify complexity - turn messy, multi-source data ...

Data Engineer, Amazon Ads

Seattle, WA · On-site

$130K - $156K/yr

... startup team within Amazon Ads Finance with an ambitious vision and the runway to build it right ... ad-hoc executive asks with bias for action - Simplify complexity - turn messy, multi-source data ...

Showing results 41-60

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 22, 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.

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 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

Booz Allen Hamilton, Inc.

Fort George G Meade, MD • On-site

$77K - $176K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 10 days ago


Booz Allen Hamilton rating

8.9

Company rating: 8.9 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

10th of 72 rated business consultants


Job description

Data Engineer
The Opportunity:
Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ever before. Given the expansion of big data analytics, new challenges are emerging for the integration of data sets. As a data engineer, you know that organizing data can yield pivotal insights when it's gathered from disparate sources. We need an experienced data engineer like you to help our clients find answers in their data to impact important missions-from cyber risk identification to acquisition programs to DOW mission decomposition.
As a data engineer at Booz Allen, you'll help build advanced technology solutions and implement data engineering activities on some of the most mission-driven projects in the industry. You'll deploy and develop pipelines and platforms that organize and make disparate data meaningful.
Here, you'll work with and guide a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You'll use your experience in analytical exploration and data examination while you manage the assessment, design, building, and maintenance of scalable platforms for your clients.
Work with us to use data for good.
Join us. The world can't wait.
You Have:
  • 4+ years of experience with Python, PySpark, SQL, and Databricks
  • 2+ years of experience with data engineering and analytics, delivering actionable insights and performance metrics
  • 2+ years of experience working within the Maven Smart System (MSS), developing or supporting mission-focused data workflows, applications, and analytic capabilities
  • Experience integrating, transforming, and validating data from multiple structured and semi-structured sources using APIs, SQL, and modern data engineering practices
  • Experience developing scalable data pipelines, data models, and data products that support operational planning, analytics, and executive decision-making
  • Experience working with large, complex datasets while ensuring data quality, performance, and reliability
  • Ability to communicate complex technical concepts clearly and effectively to technical teams, operators and executive stakeholders
  • TS/SCI clearance
  • Bachelor's degree

Nice If You Have:
  • Experience using DoD data platforms such as Advana and Qlik for data integration, ingestion, and visualization
  • Experience with the Defense Acquisition Visibility Environment (DAVE)
  • Experience documenting data analytics processes and maintaining reproducible analytic methods
  • Experience engaging data owners to establish sharing agreements that enable the establishment of data pipelines
  • Experience applying machine learning or natural language processing to operational or intelligence data
  • Experience with DoD and Intelligence Community data ecosystems and collaboration with interagency partners
  • Experience developing data governance frameworks and standards
  • Knowledge of cybersecurity data and analytics

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

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About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914