ZipRecruiter

Log In

1

Executive Startup Data Engineer Jobs (NOW HIRING)

NxT Level

Data Engineer

Manhattan, NY · On-site

$125K - $150K/yr

Data Engineer Location: New York, NY Employment Type: Full-time Focus: Data Engineering, Snowflake ... Comfort working in a fast-moving startup environment with high ownership * Interest in building ...

NxT Level

Data Engineer

Manhattan, NY

$125K - $150K/yr

Data Engineer Location: New York, NY Employment Type: Full-time Focus: Data Engineering, Snowflake ... Comfort working in a fast-moving startup environment with high ownership * Interest in building ...

Permute AI, Inc

Senior Data Engineer

Chicago, IL · On-site

$180K - $280K/yr

Senior Data Engineer - AI Systems Employment Type: Full-time Company: Permute (www.permute.ai ... Operate effectively in ambiguous, rapidly evolving startup environments Required Qualifications

Swish Analytics

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 ...

True Anomaly

Data Engineer I

Denver, CO · On-site

$85K - $115K/yr

Willing to embrace the pace, ambiguity and challenges of a startup environment PREFERRED ... This is a hands-on entry-level data engineering role. The successful candidate should be ...

Perpay - Career's Page

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 ...

talentpluto

Founding Account Executive

Manhattan, NY · On-site

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 ...

NxT Level

Senior Data Engineer

Manhattan, NY · On-site

$200K - $275K/yr

Power executive reporting and downstream analytics from a consistent source of truth Own ... First data engineer or early-stage startup experience Healthcare experience is helpful, but the ...

NxT Level

Senior Data Engineer

Manhattan, NY · On-site

$116K - $158K/yr

Power executive reporting and downstream analytics from a consistent source of truth Own ... First data engineer or early-stage startup experience Healthcare experience is helpful, but the ...

Socket.dev

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

As a Data Engineer at Virtualitics, you will build and own the data foundation that our AI-native ... Startup experience on a growing team, and a desire to mentor more junior engineers. We Offer At ...

NxT Level

Senior Data Engineer

Manhattan, NY

$116K - $158K/yr

Power executive reporting and downstream analytics from a consistent source of truth Own ... First data engineer or early-stage startup experience Healthcare experience is helpful, but the ...

Tredence Analytic

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 ...

Swish Analytics

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 ...

CFS

Data Engineer

Brighton, CO · On-site

$110K - $120K/yr

This Data Engineer opportunity offers ownership of foundational data initiatives that directly impact business operations and executive decision-making. You will help modernize critical systems ...

New

CFS

Data Engineer

Brighton, CO · On-site

$110K - $120K/yr

This Data Engineer opportunity offers ownership of foundational data initiatives that directly impact business operations and executive decision-making. You will help modernize critical systems ...

Independence Pet Group

Data Engineer

New York, NY · On-site +1

$125K - $150K/yr

The team brings together experienced data leaders and engineers from across IPH and beyond to ... Experience designing data platforms at scale in a high-growth or startup environment. * Familiarity ...

Tredence Analytic

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 ...

WorkNovas LLC

Data Engineer

Jacksonville, FL · On-site

$106K - $127K/yr

Data Engineer Remote but inperson interview in Jacksonville, FL Data Engineer plays a critical role ... executives, peers, clinicians, clinical leaders, and external stakeholders ...

Amazon

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 ...

previous page

Showing results 41-60

All JobsTechnology JobsData JobsExecutive Startup Data Engineer Jobs

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 Sep 13, 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:

What are popular job titles related to Executive Startup Data Engineer jobs?

For Executive Startup Data Engineer jobs, the most frequently searched job titles are:

Executive Startup Data Engineer jobs near you
Infographic showing various Executive Startup Data Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Engineer

Manhattan, NY • On-site

NxT Level
See more jobs at NxT Levelexternal

$125K - $150K/yr

Full-time

Posted 11 days ago

Job description

Data Engineer
Location: New York, NY
Employment Type: Full-time
Focus: Data Engineering, Snowflake, Data Modeling, AI Data Infrastructure, Marketing Technology
About Our Client
Our client is building an AI-powered platform for marketing leaders.
Their technology helps marketing teams focus on brand storytelling while AI agents handle the operationally intensive work behind the scenes, including data management, analytics, campaign generation, measurement, and reporting.
The platform is built on a proprietary consumer graph covering more than 270M U.S. consumers and thousands of through-time attributes. On top of that data foundation, our client has built agentic systems that help brands unify first-party data, standardize messy datasets, train targeting models, improve campaign performance, and give marketing teams meaningful time back.
The company works with leading consumer brands across sports, financial services, hospitality, real estate, estate planning, and other major categories. They have raised $20M from top-tier investors and are building a deeply technical team with experience across data, AI, marketing, finance, research, and consumer technology.
About the Role
Our client is hiring a Data Engineer to design, operate, and scale the pipelines, storage layers, and standardization systems that power their data product and AI platform.
This role is ideal for someone who is strong in analytics engineering, data modeling, Snowflake-powered warehouses, and resilient data infrastructure. You'll help build and scale the data foundation behind a massive people data product while partnering closely with data scientists, AI engineers, and product teams.
This is a high-ownership role for someone who can build reliable pipelines, improve data quality, support large-scale first-party integrations, and help enable AI and agentic access layers on top of structured data.
What You'll Do
  • Own ingestion, data modeling, and transformation for a large-scale consumer data product
  • Build and improve features, attributes, and pipelines across hundreds of millions of individuals
  • Scale first-party data integrations with sales, marketing, and customer systems of record
  • Support and improve a growing multi-terabyte data footprint
  • Partner with data scientists to productionize complex data pipelines and modeling workflows
  • Improve data quality, reliability, standardization, and scalability across the platform
  • Build data infrastructure that supports AI-powered products and agentic workflows
  • Enable AI and agentic access layers, including natural language retrieval APIs and structured data orchestration
  • Work on data products that directly support major enterprise customer opportunities
  • Build with modern data infrastructure including Snowflake, lakehouse architecture on S3, Dagster, dbt, and AWS

What We're Looking For
  • Strong experience in data engineering, analytics engineering, or data infrastructure
  • Experience owning data modeling and transformations in Snowflake or a similar cloud data warehouse
  • Strong SQL skills and comfort working with large, complex datasets
  • Experience building resilient ingestion pipelines and transformation workflows
  • Experience with tools such as dbt, Dagster, Airflow, or similar orchestration platforms
  • Familiarity with AWS data infrastructure, S3-based lakehouse patterns, or similar cloud environments
  • Strong understanding of data quality, standardization, schema design, and pipeline reliability
  • Ability to partner closely with data scientists and product teams
  • Comfort working in a fast-moving startup environment with high ownership
  • Interest in building data systems that power AI products, marketing intelligence, and agentic workflows

Bonus Experience
  • Experience with consumer data, identity graphs, marketing data, or customer data platforms
  • Experience integrating with sales and marketing systems of record
  • Experience building data products for enterprise customers
  • Experience enabling AI, LLM, or agentic access layers on top of structured data
  • Experience with natural language data retrieval, semantic layers, or structured data orchestration
  • Experience working with multi-terabyte datasets or large-scale people data products

Why This Opportunity
  • Build the data infrastructure behind an AI-native marketing intelligence platform
  • Work on a large-scale proprietary consumer graph covering hundreds of millions of U.S. consumers
  • Partner with strong technical teams across data science, AI, product, and engineering
  • Help scale first-party data integrations for leading consumer brands
  • Build data systems that directly unlock major enterprise customer opportunities
  • Work with modern data tools across Snowflake, dbt, Dagster, S3, and AWS
  • Join a venture-backed company with $20M raised and strong commercial momentum

Apply