Nxt Level

62 Nxt Level Jobs Hiring Near You

Senior Data Engineer

Manhattan, NY · On-site

$115K - $157K/yr

Senior Data Engineer II Level: IC4 Employment Type: Full-time Focus: Data Platform, Pipeline Architecture, Analytics Engineering, Data Infrastructure, AI-Enabled Data Workflows About Our Client Our ...

Founder level ownership mindset or early stage startup experience preferred * Ability to work independently while collaborating across teams Technical Experience * Six or more years of backend ...

Senior Data Engineer

Manhattan, NY · On-site

$115K - $157K/yr

Senior Data Engineer II Level: IC4 Employment Type: Full-time Focus: Data Platform, Pipeline Architecture, Analytics Engineering, Data Infrastructure, AI-Enabled Data Workflows About Our Client Our ...

The salary range for this position varies and depends on several factors, including the applicant's qualifications, experience, level of education, certifications or professional licenses held, and ...

Be part of a firm that values mentorship and collaboration at every level, offering opportunities to grow as a leader while building the Lancaster office. * Collaborative Culture: Work in a ...

The salary range for this position varies and depends on several factors, including the applicant's qualifications, experience, level of education, certifications or professional licenses held, and ...

Fortune 500 companies come to us looking to connect with their consumers on an emotional level. We create three-dimensional advertising that people invite into their homes, offices, cars and ...

The Role This is a founding-level Product Engineer role...high ownership, high trust, real influence. You'll work directly with the founders and customers to build the core product from the ground up ...

This executive-level position will drive the development and adoption of AI-powered solutions across business functions, focusing on automation, efficiency, and long-term profitability. The ideal ...

What You'll Own 1) Outcome Data Layer (Instrumentation + Measurement) Build the instrumentation layer that ties every agent decision to customer-level business metrics-e.g., client retention ...

Founder level ownership mindset or early stage startup experience preferred * Ability to work independently while collaborating across teams Technical Experience * Six or more years of backend ...

Patent Agent - Life Science

Denver, CO · On-site

$112K - $250K/yr

The salary range for this position varies and depends on several factors, including the applicant's qualifications, experience, level of education, certifications or professional licenses held, and ...

... level. What You'll Do * Build full-stack replicas of existing healthcare platforms used as the foundation for RL environments * Create internal tools that help the team ship faster and reduce ...

This executive-level position will drive the development and adoption of AI-powered solutions across business functions, focusing on automation, efficiency, and long-term profitability. The ideal ...

What You'll Own 1) Outcome Data Layer (Instrumentation + Measurement) Build the instrumentation layer that ties every agent decision to customer-level business metrics--e.g., client retention ...

Senior Multiplayer Engineer(C++)

San Francisco, CA · On-site

$122K - $167K/yr

Experience with UDP, bit-level serialization, delta compression, and other techniques for developing efficient network code for real time games * Be comfortable integrating with external backend ...

Showing results 41-60

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    Senior Data Engineer

    Manhattan, NY • On-site

    $115K - $157K/yr

    Full-time

    Posted 19 days ago


    Job description

    Senior Data Engineer II
    Level: IC4
    Employment Type: Full-time
    Focus: Data Platform, Pipeline Architecture, Analytics Engineering, Data Infrastructure, AI-Enabled Data Workflows
    About Our Client
    Our client is scaling a modern data platform across more business domains, pipelines, and internal stakeholders.
    As the platform grows, the architectural decisions made today will directly impact reliability, cost, developer experience, and long-term technical debt. The team is looking for a senior data engineer who can help shape the foundation of the platform while still staying hands-on with the work.
    This is an opportunity to join a data organization that values strong technical judgment, practical execution, and long-term platform health.
    About the Role
    Our client is hiring a Senior Data Engineer II to own and evolve data pipeline architecture across core platform domains.
    This is not a whiteboard-only architecture role. This person will still be hands-on - writing pipelines, debugging production issues, improving observability, and shipping code alongside the team.
    What makes this role senior is the scope. You'll make independent architectural decisions, evaluate platform tradeoffs, influence how Analytics Engineering, Data Science, and Engineering teams build on the data platform, and serve as a trusted technical partner when complex design decisions need a second opinion.
    What You'll Do
    • Own and evolve data pipeline architecture across ingestion, transformation, modeling, and serving
    • Make project-level architectural decisions independently
    • Evaluate tradeoffs across freshness, cost, scalability, reliability, and simplicity
    • Lead platform-level improvements across warehouse cost management, compute efficiency, and access control
    • Treat reliability, observability, and cost efficiency as core design constraints
    • Identify and lead technical initiatives that improve the long-term health of the data platform
    • Proactively surface investments across orchestration, CI/CD, data access, and developer experience before they become blockers
    • Drive large, complex technical projects or multiple cross-functional initiatives at once
    • Own outcomes across projects that span Data, Analytics, Data Science, Engineering, and Product teams
    • Lead monitoring and testing strategy for your domain
    • Close observability gaps, build proactive alerting, and help resolve the hardest production issues
    • Influence technical decisions and architectural direction beyond the Data & Analytics team
    • Partner directly with Engineering, Product, and Design stakeholders on infrastructure decisions that impact business roadmaps
    • Mentor data engineers and analytics engineers through architecture reviews, modeling decisions, and technical guidance
    • Integrate AI meaningfully into data engineering workflows
    • Build tooling and automation that creates leverage for the broader team, not just individual productivity
    • Coach others on effective, validated use of AI in data engineering workflows

    What We're Looking For
    • Senior-level data engineering experience with strong ownership of production data pipelines
    • Experience designing data pipeline architecture across ingestion, transformation, modeling, and serving layers
    • Strong hands-on experience building, debugging, and operating production data systems
    • Ability to evaluate platform tradeoffs across scalability, cost, reliability, freshness, and simplicity
    • Experience improving warehouse performance, compute efficiency, cost controls, and access control patterns
    • Strong understanding of data observability, testing, alerting, CI/CD, and production reliability
    • Ability to lead large technical initiatives across multiple teams and stakeholders
    • Strong technical judgment and the ability to make architectural decisions independently
    • Experience partnering with Analytics Engineering, Data Science, Engineering, Product, or business stakeholders
    • Ability to mentor other data engineers and influence technical direction without relying on formal authority
    • Interest in using AI tools to improve data engineering workflows, automation, and team leverage

    Bonus Experience
    • Experience with modern cloud data warehouses and data platform architecture
    • Experience leading platform modernization, cost optimization, or data reliability initiatives
    • Experience building internal tooling for data teams
    • Experience improving developer experience for analytics engineering or data science teams
    • Experience applying AI-assisted workflows to data engineering, orchestration, observability, or quality automation
    • Experience working in high-growth marketplace, consumer technology, fintech, real estate technology, or data-heavy product environments

    Why This Opportunity
    • Own meaningful architecture across a growing data platform
    • Stay hands-on while influencing platform direction at a senior IC level
    • Work closely with Analytics Engineering, Data Science, Engineering, and Product teams
    • Lead high-impact initiatives across reliability, observability, cost, access control, and developer experience
    • Help reduce long-term technical debt before it becomes a major blocker
    • Mentor other engineers and become a trusted technical voice across the organization
    • Build AI-enabled tooling and automation that creates leverage for the entire data team