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Sr Data Engineer Client Jobs in New York (NOW HIRING)

NxT Level

Senior Data Engineer

Manhattan, NY · On-site

$115K - $157K/yr

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 ...

NxT Level

Senior Data Engineer

Manhattan, NY

$115K - $157K/yr

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 ...

NxT Level

Senior Data Engineer

Manhattan, NY

$115K - $157K/yr

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 ...

Marici Solutions

Sr. Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

Role: Sr. Data Engineer Location: NYC, NY (Hybrid 3-4 Days onsite) Experience: Min-9 yrs & Max-12 yrs Location Preference: Candidates from NYC are preferred by the hiring manager Skills - Complex SQL ...

New

Artius Solutions

Senior Data Engineer

New York, NY · On-site

$120K - $121K/mo

Senior Data Engineer Location: USA - NY, SLC, TX, UT, Dallas, New York City (Onsite) Job Summary ... Excellent communication skills and the ability to work in a client-facing, collaborative ...

Ruri Software Technologies LLC

Senior Data Engineer

Avenel, NJ · On-site

$107K - $146K/yr

Senior Data Engineer Local to NJ (Hybrid mode preferred but we are open for remote too) We are seeking a hands-on Senior Data Engineer with strong Denodo experience to design, build, and maintain ...

New

Avenues International, Inc.

Senior Data Engineer

Manhattan, NY · On-site

$116K - $158K/yr

... to client" If interested please attach your latest updated resume, and do let me know what is the ... Senior Data Engineer Location: NYC, NY (Onsite) Duration- 24 Mo n ths Job id: HBITS-08-14978 Note ...

TytoCare

Senior Data Engineer

Manhattan, NY · On-site

$150 - $200/hr

The Senior Data Engineer will lead the design and development of scalable, high-performance data architectures and models for both batch and streaming data processing. This person will define and ...

Talkspace

Senior Data Engineer

New York, NY · Remote

$146K - $180K/yr

The Senior Data Engineer will lead the design and development of scalable, high-performance data architectures and models for both batch and streaming data processing. This person will define and ...

Talkspace

Senior Data Engineer

New York, NY · On-site

$146K - $180K/yr

The Senior Data Engineer will lead the design and development of scalable, high-performance data architectures and models for both batch and streaming data processing. This person will define and ...

EliseAI

Senior Data Engineer

New York, NY · On-site

$116K - $157K/yr

About The Role As a Senior Data Engineer, you will be a crucial member of our Engineering team ... Develop client-facing reporting solutions * Additionally, the position supports data-driven ...

Syntricate Technologies

Sr. Data Engineer

Montvale, NJ · On-site

$119K - $143K/yr

Syntricate Technologies is seeking a Senior Data Engineer to develop and design solutions based on detailed specifications. The role involves coding, system design, and customer interaction, with a ...

Damco Solutions

Sr. Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

Damco Solutions is a company looking for a Sr. Data Engineer to enhance their data engineering capabilities. The role involves developing and maintaining data pipelines, utilizing various data ...

N-iX

Senior Data Engineer (#5645)

Union, NJ · On-site

$150 - $200/hr

We are looking for a Senior Data Engineer with specialized domain expertise in fraud detection ... Our client is a fast-growing European FinTech company in the Business Spend Management space ...

Interon IT Solutions

Senior Data Engineer with MDM

Iselin, NJ · On-site

$107K - $146K/yr

Our Client is seeking a Senior Data Engineer with MDM experience to join our team in Iselin, NJ (Need Onsite day 1, hybrid 3 days from office) . We are seeking a highly skilled and experienced Senior ...

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Sr Data Engineer Client information

What is a Sr Data Engineer Client?

Sr Data Engineer Client roles refer to senior-level data engineering positions that focus on building, managing, and optimizing data infrastructure and pipelines to serve client-facing applications or external customers. These professionals are responsible for designing scalable data solutions, integrating diverse data sources, and ensuring data quality and security. They often collaborate with data scientists, analysts, and client teams to deliver actionable insights and support business objectives. Strong technical skills in data modeling, ETL processes, and cloud platforms are essential, along with experience in stakeholder communication.

What are some typical challenges a Sr Data Engineer Client might face when integrating client data systems with internal platforms?

Sr Data Engineers working with client data often encounter challenges such as aligning disparate data formats, managing inconsistent data quality, and ensuring data security during integration. Effective communication with both client and internal teams is crucial to clearly understand requirements and address technical limitations. These challenges can be mitigated by establishing robust data pipelines, thorough documentation, and proactive collaboration with stakeholders throughout the integration process.

What are the key skills and qualifications needed to thrive as a Sr Data Engineer Client, and why are they important?

To thrive as a Sr Data Engineer Client, you need extensive experience in data engineering, strong proficiency in SQL, Python, and data modeling, often supported by a bachelor's or master's degree in computer science or a related field. Mastery of big data tools (like Hadoop or Spark), cloud platforms (such as AWS or Azure), and relevant certifications is highly valued. Exceptional problem-solving, communication, and stakeholder management skills help you bridge technical and business needs. These capabilities are crucial for delivering scalable data solutions that drive informed decision-making and client satisfaction.

What are popular job titles related to Sr Data Engineer Client jobs in New York?

For Sr Data Engineer Client jobs in New York, the most frequently searched job titles are:

What job categories do people searching Sr Data Engineer Client jobs in New York look for?

The top searched job categories for Sr Data Engineer Client jobs in New York are:

What cities in New York are hiring for Sr Data Engineer Client jobs?

Cities in New York with the most Sr Data Engineer Client job openings:

Sr Data Engineer Client jobs near you
Infographic showing various Sr Data Engineer Client job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Senior Data Engineer

NxT Level

Manhattan, NY • On-site

$115K - $157K/yr

Full-time

Posted 17 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

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