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Founding Data Engineer Jobs in Secaucus, NJ (NOW HIRING)

Outtake

Founding Applied Data Scientist

New York, NY · On-site

  • Medical

  • Dental

  • Vision

  • PTO

Built by ex-Palantir, ex-CTO/founders, and ex-Notion engineers, Outtake is designed for clarity ... About the role We're looking for a Founding Applied Data Scientist to define how Outtake ...

Raydar

Founding Forward Deployed Engineer

New York, NY · On-site

$200K - $300K/yr

The role and why it matters This is a founding Forward Deployed Engineer role with direct access to ... data models, ontologies, and workflow infrastructure that connect deployments into reusable ...

Outtake inc.

Founding Applied Data Scientist

Manhattan, NY · On-site

$140 - $210/hr

  • Medical

  • Dental

  • Vision

  • PTO

Built by ex-Palantir, ex-CTO/founders, and ex-Notion engineers, Outtake is designed for clarity ... About the role We're looking for a Founding Applied Data Scientist to define how Outtake ...

Hatch IT

Founding Product Engineer

New York, NY · On-site

$180K - $220K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

You'll influence API design, data models, and overall architecture to make the entire product feel ... Experience as an early or founding engineer at a startup * Experience building products used ...

Hatch IT

Founding Product Engineer

New York, NY

$180K - $220K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

You'll influence API design, data models, and overall architecture to make the entire product feel ... Experience as an early or founding engineer at a startup * Experience building products used ...

NxT Level

Founding Engineer

Manhattan, NY · On-site

$90K - $121K/yr

The Opportunity As a Founding Engineer, you will architect and build the core systems that power ... Build and maintain data pipelines that ingest, normalize, and react to real-time market data

NxT Level

Founding Engineer

Manhattan, NY · On-site

$90K - $121K/yr

The Opportunity As a Founding Engineer, you will architect and build the core systems that power ... Build and maintain data pipelines that ingest, normalize, and react to real-time market data

NxT Level

Founding Engineer

Manhattan, NY

$90K - $121K/yr

The Opportunity As a Founding Engineer, you will architect and build the core systems that power ... Build and maintain data pipelines that ingest, normalize, and react to real-time market data

NxT Level

Founding Engineer

Manhattan, NY

$90K - $121K/yr

The Opportunity As a Founding Engineer, you will architect and build the core systems that power ... Build and maintain data pipelines that ingest, normalize, and react to real-time market data

hatch IT

Founding Product Engineer

Manhattan, NY · On-site

$180K - $220K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

You'll influence API design, data models, and overall architecture to make the entire product feel ... Experience as an early or founding engineer at a startup * Experience building products used ...

Hatch IT

Founding Product Engineer

New York, NY

$180K - $220K/yr

You'll influence API design, data models, and overall architecture to make the entire product feel ... Experience as an early or founding engineer at a startup * Experience building products used ...

talentpluto

Founding Engineer

New York, NY · On-site

The Opportunity We're hiring our first Founding Engineer to help define TalentPluto's technical ... You'll design, build, and ship features across the stack, from data models and APIs to polished UI. ...

Everstar Inc

Founding AI Engineer

New York, NY · On-site

  • Medical

  • Dental

  • Vision

Own fine-tuning pipelines: generate synthetic data, run ablations, and ship domain-adapted models ... founding AI engineers typically grow into Head of AI/ML , AI Research Lead , or CTO-track roles as ...

Sava

Founding Engineer

Manhattan, NY · On-site

... a founding engineer to help shape the company's technical direction. The role involves designing ... data integrity, and correctness. • Are comfortable owning big pieces of a product with little ...

talentpluto

Founding Engineer

New York, NY · On-site

The Opportunity We're hiring our first Founding Engineer to help define TalentPluto's technical ... You'll design, build, and ship features across the stack, from data models and APIs to polished UI. ...

Nolla Health

Founding AI Engineer

New York, NY · On-site

$160K - $220K/yr

  • Medical

  • Dental

  • Vision

  • PTO

Familiarity with FHIR, HL7, or healthcare data standards * Experience with observability stacks ... Founding team members step into expanded roles as we scale

Arbor

Founding GenAI Engineer

New York, NY · On-site

$150K - $220K/yr

  • Medical

  • Dental

  • Vision

It's voice, LLM applications, and data pipelines in one product. This role covers the best parts of ... Strong engineering fundamentals and experience shipping production systems end-to-end * Hands-on ...

talentpluto

Founding Engineer

New York, NY · On-site

The Opportunity We're hiring our first Founding Engineer to help define TalentPluto's technical ... You'll design, build, and ship features across the stack, from data models and APIs to polished UI. ...

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Showing results 41-60

All JobsFounding Data Engineer JobsFounding Data Engineer Jobs in Secaucus, NJ

Founding Data Engineer information

See Secaucus, NJ salary details

$45.2K

$131.9K

$180.5K

How much do founding data engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for founding data engineer in Secaucus, NJ is $131,881.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,400.00 and $139,800.00 per year, depending on experience, location, and employer.

What is a founding data engineer?

Founding Data Engineers are among the first technical hires at a startup, responsible for designing, building, and scaling the company's data infrastructure from the ground up. They work closely with founders and early team members to define data architecture, set up data pipelines, and ensure data quality and accessibility for product development and business insights. This role often requires a blend of software engineering, data modeling, and strategic decision-making skills, as well as the flexibility to adapt to rapidly changing priorities in a startup environment.

What are the unique challenges and opportunities of being a founding data engineer at an early-stage startup?

As a Founding Data Engineer, you'll face the challenge of building data infrastructure from scratch, often with limited resources and evolving requirements. You’ll work closely with founders and cross-functional teams to define data strategies, implement pipelines, and ensure data quality. This role offers significant influence over technical decisions and architecture, and you'll likely wear multiple hats, contributing to both backend engineering and data analytics. The fast-paced environment fosters rapid skill development and provides substantial opportunities for career growth as the company scales.

What are the key skills and qualifications needed to thrive as a founding data engineer, and why are they important?

To thrive as a Founding Data Engineer, you need strong expertise in data architecture, database design, and software engineering, often backed by a degree in computer science or a related field. Familiarity with cloud platforms (like AWS or GCP), ETL frameworks, programming languages (such as Python or Scala), and data warehousing tools is typically required. Exceptional problem-solving, adaptability, and collaboration skills set standout candidates apart in this role. These abilities are crucial for building scalable data systems and shaping the technical foundation of an early-stage company.

What is the difference between Founding Data Engineer vs Data Engineer?

AspectFounding Data EngineerData Engineer
Required CredentialsBachelor's or higher in CS, experience in startup environmentsBachelor's or higher in CS, relevant data tools experience
Work EnvironmentEarly-stage startups, high flexibility, broad responsibilitiesEstablished companies, specialized roles, structured teams
Employer & Industry UsageFounding teams, startups, tech companiesTech firms, finance, healthcare, large organizations
Search & Comparison IntentUnderstanding startup data roles, early-stage responsibilitiesStandard data engineering roles, career progression

The main difference between a Founding Data Engineer and a Data Engineer lies in their work environment and responsibilities. Founding Data Engineers typically work in startups, handling broad tasks and building data infrastructure from scratch, while Data Engineers in established companies focus on specific data pipelines within structured teams. Both roles require similar technical skills and educational backgrounds, but their scope and context differ significantly.

What are popular job titles related to Founding Data Engineer jobs in Secaucus, NJ?

For Founding Data Engineer jobs in Secaucus, NJ, the most frequently searched job titles are:

What job categories do people searching Founding Data Engineer jobs in Secaucus, NJ look for?

The top searched job categories for Founding Data Engineer jobs in Secaucus, NJ are:

What cities near Secaucus, NJ are hiring for Founding Data Engineer jobs?

Cities near Secaucus, NJ with the most Founding Data Engineer job openings:

Founding Data Engineer jobs near you
Infographic showing various Founding Data Engineer job openings in Secaucus, NJ as of June 2026, with employment types broken down into 66% Full Time, 32% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $131,881 per year, or $63.4 per hour.

Founding Applied Data Scientist

Outtake

New York, NY • On-site

Full-time

Medical, Dental, Vision, PTO

Posted 20 days ago

Job description

About Outtake
Outtake exists to empower and facilitate trust for a digital-first world. Today, impersonation, fraud, AI-driven scams, and identity abuse spread faster than any security team can respond to. So we built something different: an agentic AI platform that proactively detects, monitors, and takes down impersonators, automating protection in hours, not weeks.
Built by ex-Palantir, ex-CTO/founders, and ex-Notion engineers, Outtake is designed for clarity, autonomy, and velocity. Our goal is ambitious: become the trust layer of the modern internet. And we intend to do it with a lean, dense, exceptionally talented team.
Outtake is backed by top-tier investors and operators who believe in our mission and our model. With strong financial footing and a long runway, we prioritize creating an environment where people can do the best work of their careers.
About the role
We're looking for a Founding Applied Data Scientist to define how Outtake understands, measures, and improves the performance of our product, business, and AI systems. At a high level, this person will build the data foundation that turns messy product usage, customer outcomes, model behavior, and business operations into clear decisions and durable systems.
Our product operates in a noisy, adversarial, fast-moving threat landscape. We need to know what is working, where our agents are succeeding or failing, how customers are experiencing value, and how the business should price, package, and prioritize our work. Data is how we make those questions legible.
This role is for someone who is equally comfortable building pipelines, defining metrics, writing SQL, partnering with product and finance, and reasoning about AI evals. You should be excited to operate at the intersection of analytics engineering, applied data science, product strategy, and AI systems evaluation.
We are early, so this is not a narrow reporting or dashboarding role. You will shape the semantic layer, define canonical metrics, build the analytical infrastructure, influence product and pricing decisions, and set the long-term bar for how Outtake uses data as the company scales.
What you'll do
  • Own our analytical data pipeline and infrastructure across product, business, and AI performance data
  • Define and maintain the semantic layer in our product analytics stack, including Hex and the underlying warehouse models
  • Build canonical performance metrics for our product and business, including activation, usage, retention, customer value, operational efficiency, and agent effectiveness
  • Partner with Product and Finance to refine pricing models, usage-based packaging, margin analysis, and customer-level profitability
  • Work with Platform Engineering on internal AI performance metrics, evals, benchmarking, observability, and reliability reporting
  • Design dashboards, analyses, and decision-support systems that help the team make fast, high-confidence product and business decisions
  • Build data quality checks, documentation, and metric definitions that make our data trustworthy and easy for others to use
  • Translate ambiguous questions from product, GTM, finance, and engineering into rigorous analyses and practical recommendations
  • Hire and onboard Outtake's Data Team and set the long-term roadmap for data infrastructure, analytics, and applied data science
Requirements
  • 5+ years of combined experience as an Engineer, Analytics Engineer, Data Scientist, or closely related role
  • Strong proficiency in SQL, ideally with production experience in Postgres and modern analytical modeling patterns
  • Experience building reliable data pipelines, data models, semantic layers, or internal analytics infrastructure
  • Experience defining product and business metrics from first principles, not just reporting on pre-existing dashboards
  • Experience working with modern AI eval frameworks, model performance measurement, LLM observability, or similar systems
  • Strong product judgment and the ability to turn ambiguous business or product questions into clear analytical approaches
  • Comfort working cross-functionally with Product, Engineering, Finance, and GTM stakeholders
  • Ability to communicate complex analyses clearly, including the tradeoffs, caveats, and recommendations that matter
  • High ownership, strong bias toward action, and comfort operating in a fast-moving, early-stage environment
  • Desire to build foundational systems and eventually help hire, mentor, and scale a high-performing data function
Nice to have
  • Experience working with Hex or similar collaborative analytics tools
  • Experience working with Langfuse, Braintrust, Arize, Phoenix, OpenTelemetry, or similar AI observability/eval tooling
  • Experience working with ClickHouse, BigQuery, Snowflake, Databricks, DuckDB, dbt, or similar analytical data systems
  • Experience with usage-based pricing, unit economics, margin modeling, or customer-level profitability analysis
  • Experience building metrics or evals for AI agents, LLM products, fraud systems, abuse detection, cybersecurity, or trust & safety products
  • Experience designing experimentation, causal inference, forecasting, or decision science workflows
  • Experience building internal tools, notebooks, or lightweight apps that help non-data teammates answer their own questions
  • Experience as an early data hire or founding team member in a high-growth startup
  • Comfort writing production-quality Python or TypeScript when needed
  • Prior startup experience or a track record of thriving in high-ownership environments
Life at Outtake
  • Office: For those in NY, we are an in-person team (5 days a week, with flexibility as needed) working out of a stunning waterfront office in Brooklyn. Collaboration, speed, and clarity matter.
  • Health: 100% company-paid medical, dental, and vision for employees.
  • Time Away: Flexible PTO. We trust adults to manage energy, not clock time.
  • Culture & Team: Annual company retreats and regular in-person events.

Outtake is an equal opportunity employer. We are committed to building a diverse, inclusive team.

Apply