Nxt Level

60 Nxt Level Data Jobs Hiring Near You

Senior Data Engineer

Boston, MA ยท On-site

$115K - $156K/yr

Bachelor's degree in CS/Engineering/IS (advanced degree preferred) * 8+ years in data engineering, distributed systems, or platform engineering, operating at a senior technical leadership level

Senior Data Engineer

Boston, MA

$115K - $156K/yr

Bachelor's degree in CS/Engineering/IS (advanced degree preferred) * 8+ years in data engineering, distributed systems, or platform engineering, operating at a senior technical leadership level

Data Solutions Engineer

Boston, MA ยท On-site

$124K - $149K/yr

Executive-level communication and influencing skills; ability to align senior stakeholders and ... High-leverage intersection of data platforms + BI modernization + workflow orchestration + agentic ...

This executive-level position will drive the development and adoption of AI-powered solutions ... Develop intelligent assistants, workflow automations, and internal data agents to streamline ...

Process sensitive patient data in real time while maintaining strict HIPAA compliance * Coordinate ... Founder level ownership mindset or early stage startup experience preferred * Ability to work ...

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 ...

Process sensitive patient data in real time while maintaining strict HIPAA compliance * Coordinate ... Founder level ownership mindset or early stage startup experience preferred * Ability to work ...

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 ...

This executive-level position will drive the development and adoption of AI-powered solutions ... Develop intelligent assistants, workflow automations, and internal data agents to streamline ...

Build responsive layouts, interactive data tables, charts, dashboards, and reporting tools for ... Expert-level React, TypeScript, and modern JavaScript experience * Strong experience turning design ...

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 ...

Background building data-heavy or workflow-driven applications * Previous startup or founding-team experience Why This Opportunity * Founding-level impact: your work will shape the product and ...

Founding Full Stack Engineer

Manhattan, NY ยท On-site

$140K - $200K/yr

Background building data-heavy or workflow-driven applications * Previous startup or founding-team experience Why This Opportunity * Founding-level impact: your work will shape the product and ...

Founding Engineer

Manhattan, NY ยท On-site

$90K - $121K/yr

This role starts at the Staff / Principal IC level with a clear path into engineering leadership as ... Build and maintain data pipelines that ingest, normalize, and react to real-time market data

Founding Engineer

Manhattan, NY ยท On-site

$90K - $121K/yr

This role starts at the Staff / Principal IC level with a clear path into engineering leadership as ... Build and maintain data pipelines that ingest, normalize, and react to real-time market data

Build responsive layouts, interactive data tables, charts, dashboards, and reporting tools for ... Expert-level React, TypeScript, and modern JavaScript experience * Strong experience turning design ...

Showing results 21-40

Senior Data Engineer

Senior Data Engineer

NxT Level

Boston, MA โ€ข On-site

$115K - $156K/yr

Full-time

Posted 9 days ago


Job description

Staff Data Platform Engineer (AI / Data Fabric / Iceberg Lakehouse)
Location: Boston, MA (Onsite 4 days/week)
Contact / Apply: logan@nxtlevel.io
About Our Client
Our client is a global investment firm building foundational AI, data, and platform capabilities to enable scale and business transformation. Their platform organization is responsible for evolving technology into robust, reusable, platform-based solutions that increase agility and deliver material business impact across the firm.
The Team
You'll join a core AI, Data, and Platform Technologies engineering team that architects and supports the firm's foundational data and AI capabilities. This team is a key enabler for firm-wide services-designing platform primitives that power AI and investment workflows at enterprise scale.
The Role
Our client is hiring a Senior Engineer to take a hands-on technical leadership role in Boston. You will help design and build world-class data engineering capabilities that process massive pipelines, leverage AI-powered insights and document extraction, and integrate across diverse cloud-powered databases.
You'll define the technical blueprint for how the firm structures, stores, governs, and leverages data to support critical AI and investment platforms-ensuring integrity, performance, and accessibility at scale. This is an onsite role with expectations to be in the Boston office 4 days per week.
What You'll Do
  • Lead the architecture, buildout, and modernization of a unified data fabric, establishing scalable patterns for access, interoperability, governance, and productization across business and technology teams
  • Own the design and evolution of Apache Iceberg-based data platform capabilities: ingestion/egress, replication, streaming, performance tuning, lifecycle management, and adoption standards for analytical + operational use cases
  • Define and implement compute architecture across stateful, stateless, and distributed processing layers-balancing performance, resiliency, scalability, and cost
  • Design and drive adoption of event-driven patterns for real-time ingestion and data movement with low-latency, reliable, observable flows
  • Extend platform capabilities to support the firm's AI/ML ecosystem, including curated datasets, feature-ready pipelines, training/inference data services, and integration points for model development and deployment
  • Translate business and engineering priorities into a clear technical roadmap-sequencing platform investments for long-term value
  • Serve as a senior engineering lead across strategic platform domains, partnering with app engineering, enterprise architecture, data consumers, and ML stakeholders
  • Establish standards for data quality, observability, lineage, governance, security, and operational excellence across batch and streaming environments
  • Mentor junior engineers and raise the bar on design rigor, implementation quality, and operational ownership
  • Evaluate emerging technologies, run PoCs, and recommend production-ready solutions aligned with target-state architecture

What Our Client Is Looking For
  • Bachelor's degree in CS/Engineering/IS (advanced degree preferred)
  • 8+ years in data engineering, distributed systems, or platform engineering, operating at a senior technical leadership level
  • Proven platform mindset: designed/delivered enterprise-scale data platforms or lakehouse ecosystems with emphasis on scalability, reliability, governance, and developer enablement
  • Deep hands-on experience with Apache Iceberg and modern open table formats (modeling, partitioning, tuning, metadata management, operational best practices)
  • Strong understanding of distributed compute architectures (stateful/stateless processing, orchestration, fault tolerance, performance optimization)
  • Experience implementing event-driven/streaming architectures using modern messaging and data movement patterns
  • Experience enabling AI/ML platform capabilities (pipeline design, feature/data prep, integration with model development or production ML systems)
  • Strong proficiency in Python and SQL; Java/Scala and modern data processing frameworks highly desirable
  • Cloud-native/containerized experience, including orchestration, infra automation, and observability tooling
  • Ability to operate as a senior technical decision-maker: influence architecture, drive execution through others, and partner across technical + non-technical stakeholders
  • Highly desirable: experience in AI Harness engineering

Why This Role
  • Own core architectural decisions for a firm-wide data fabric and lakehouse platform
  • Work at the intersection of high-scale data engineering and AI enablement
  • Build real-time and batch systems with strong governance, lineage, and production standards
  • High visibility, high leverage platform work that compounds across many business units