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Executive Startup Data Engineer Jobs (NOW HIRING)

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 ...

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 ...

Sr. Data Engineer

Palo Alto, CA · Remote

$134K - $161K/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 ...

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

Austin, TX · On-site

$113K - $136K/yr

They are seeking a talented and driven Data Engineer to help elevate their data platform by ... executive stakeholders to define and track KPIs, translating complex requirements into reliable ...

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 ...

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

Washington, DC · 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

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 ...

Senior Data Engineer

$108K - $147K/yr

Keebo is a venture-backed startup that offers a turnkey cloud-based Data Learning platform for ... As a Senior Data Engineer, you will bring your expertise in data engineering and ML Ops to help the ...

Data Engineer

Auburn Hills, MI · 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 ...

Data Engineer

Columbia, MD · Remote

$113K - $136K/yr

Job Title: Data Engineer Location | Remote (US Only) Time Zone | US Time Zones (EST-PST) Role ... startup - Experience with AWS, GCP, Docker, or Kubernetes Tools & Technology: - Graph database ...

Data Engineer

Elkridge, MD · On-site

$160K - $200K/yr

Job Title: Data Engineer Location | Remote (US Only) Time Zone | US Time Zones (EST-PST) Role ... startup - Experience with AWS, GCP, Docker, or Kubernetes Tools & Technology: - Graph database ...

Data Engineer

Laurel, MD · On-site

$160K - $200K/yr

Job Title: Data Engineer Location | Remote (US Only) Time Zone | US Time Zones (EST-PST) Role ... startup - Experience with AWS, GCP, Docker, or Kubernetes Tools & Technology: - Graph database ...

Data Engineer

Columbia, MD · On-site

$160K - $200K/yr

Job Title: Data Engineer Location | Remote (US Only) Time Zone | US Time Zones (EST-PST) Role ... startup - Experience with AWS, GCP, Docker, or Kubernetes Tools & Technology: - Graph database ...

Data Engineer

Denver, CO · On-site +1

$117K - $141K/yr

The Role We're looking for a Data Engineer to join our Engineering team and help architect, build ... Bias for automation, clear documentation, and fast iteration in a startup environment Bonus points ...

Data Engineer

Redwood City, CA · On-site

$140K - $168K/yr

... startup experience required. • Deep with Python, SQL, and modern data and ML tooling. • You've done real work at an early-stage startup (seed or Series A), where there was no playbook, no ...

Data Engineer

Draper, UT · On-site

$100K - $114K/yr

T. is actively seeking a Data Engineer for an immediate full-time opportunity with our industry ... and Executive / leadership-based positions on a full time and consulting basis. If you're ...

Lead Data Engineer

$117K - $140K/yr

Required : • 4+ years of professional experience in data engineering, ideally at a high-growth startup or fast-moving team within a larger organization • Hands-on experience with the modern 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 Jul 11, 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:
Staff Data Engineer

Staff Data Engineer

Shift5

Arlington, VA • Remote

$185K - $220K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Posted 10 days ago


Job description

About Shift5

Shift5 is building the data platform for onboard operational technology (OT). We deliver cybersecurity, predictive maintenance, and compliance capabilities that enable defense and commercial fleets to operate with greater readiness, resilience, and mission assurance.

We are seeking a Staff Data Engineer to join our growing Product Engineering team. In this role, your primary responsibility will be to design, build, and maintain data processing, storage, and integration pipelines while acting as a force-multiplier for your team. You will report to our Off Vehicle Manager, Software Engineering, and operate in a team-based environment with engineers, product managers, program managers, and designers to conceive, implement, and shape major features. You'll be a major factor in generating high-impact products that literally save lives.

What You'll Do
  • Design & Build Pipelines: Design, build, and maintain robust, scalable batch and streaming data processing, storage, and integration pipelines using technologies such as Apache Airflow or Benthos.
  • Feature Ownership & Leadership: Interpret requirements and design specifications, taking full ownership of building features from the ground up. Mentor and lead the rest of your team to deliver the right solutions.

  • Write Quality Code: Write clean, well-documented, scalable, extensible, and testable code to ensure application quality and maintainability.

  • Cross-Functional Collaboration: Partner with data scientists and engineers to create semantic data models representing complex vehicular systems, and integrate applications cleanly across other Shift5 componentry.

  • Support Stakeholders: Build scalable data products for data scientists, transportation engineers, and executives to drive insights and decision-making.

  • Cloud Optimization: Create efficient, reliable, cost-effective, dynamically scalable, and observable solutions utilizing AWS cloud services.

  • Data Analysis & Quality: Analyze complex data sets to create data ontologies, verify data quality/integrity, and ensure data accuracy throughout pipelines.

  • Field Support: Support the design process and occasionally travel to customer sites (estimated a few times per year) to collaborate with Field Engineers on data integration and deployment.

What Success Looks Like
  • High-Impact Delivery: You successfully deliver scalable, observable, supportable, and reliable data processing applications that empower customers to run smarter, safer fleets.
  • End-to-End Ownership: You confidently steer complex data applications from scratch—including requirements gathering, design, planning, and implementation—in a fast-paced environment.

  • Collaborative Impact: You actively shape product design alongside multidisciplinary teams, acting as a technical leader and force-multiplier for your peers.

  • Adaptability: You efficiently multitask and smoothly accommodate changing priorities on demand to meet the dynamic needs of a scaling company.

What We're Looking For

Required:

  • Engineering Experience: 6+ years of software/data engineering experience with a deep understanding of software engineering practices and concepts.

  • Core Languages: 6+ years of experience with a major programming language (GoLang, Java, or Python).

  • Databases & Big Data: 6+ years of relational database experience (PostgreSQL, MySQL, Oracle, etc.) alongside 6+ years of experience with Big Data (Hadoop, Spark) and Data Modeling.

  • Cloud & Containers: 4+ years of experience with containerization and cloud services (Docker, Kubernetes) and cloud monitoring tools.

  • Data Pipelines & Stack: Expertise with batch and streaming data pipelines (Apache Airflow, Benthos) and familiarity with modern data stack components (ingestion, transformation, orchestration).

Preferred:

  • U.S. citizenship required and ability to obtain a security clearance.
  • Education: MS in Computer Science, Cybersecurity, Cyber Intelligence, or equivalent.

  • Data Architecture: Experience and understanding of data lakes/warehouses (e.g., Snowflake, Databricks, Redshift).

  • DevOps Practices: Proficiency with CI/CD, source control, design reviews, and integrating observable practices.

  • Advanced Languages & Tools: Experience with Rust, SDK design, and implementation (including code gen of type-specific bindings to Python, Go, TypeScript).

  • Travel Flexibility: Willingness to travel occasionally to customer and partner sites to support field integration and deployment efforts.

Compensation & Benefits
  • Base Salary: $185,000 - $220,000

  • Bonus program and equity in a fast-growing startup

  • Competitive medical, dental, and vision coverage for employees and their families

  • Health Savings Account with annual employer contributions

  • Employer-paid Life and Disability Insurance

  • Uncapped paid time off policy 

  • Flexible work & remote work policy 

  • Tax-deferred public transit benefits with Metro SmartBenefits (DC/MD/VA) 

We are committed to building an inclusive culture of belonging that embraces the diversity of our people and represents the communities in which we work and the customers we serve. We know the happiest and highest performing teams include people with diverse perspectives and ways of solving problems. We strive to attract and retain talent from all backgrounds and create workplaces where everyone feels empowered to bring their full, authentic selves to work.  

Shift5 is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sexual orientation, gender identify, national origin, disability, age, marital status, ancestry, projected veteran status, or any other protected group or class. 

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