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Data Analytics Engineer Jobs in Manhattan, NY (NOW HIRING)

Senior Analytics Engineer - Data

New York, NY ยท Hybrid

$200K - $250K/yr

Senior Analytics Engineer - Data (StubHub, Inc., New York, NY) Design, implement, and enhance complex financial data models and analytical pipelines, applying advanced techniques and best practices ...

Analytics Engineer

New York, NY ยท On-site

$125K - $150K/yr

We are looking for a detail-oriented and business-minded Analytics Engineer to join the RADAR Data ... In this role, you will sit at the intersection of data engineering and business intelligence ...

Senior Analytics Engineer

New York, NY ยท On-site

$114K - $157K/yr

We're looking for a Senior Analytics Engineer to own the transformation and modeling layer of DDN ... You'll turn raw data from Salesforce, Workday, product systems, and other sources into trusted ...

Data Analytics AI Engineer

Manhattan, NY ยท On-site

$156 - $204/hr

What You'll Bring Required * 5+ years of experience in AI/ML engineering or a combined data analytics and AI role. * Strong SQL proficiency; solid Python experience is a strong plus. * Hands-on ...

Because data fuels everything we do, the Data Team works horizontally across the entire company ... in analytics engineering or data analytics roles within high-growth environments * Strong SQL ...

Analytics Engineer

New York, NY ยท On-site

$100K - $140K/yr

Because data fuels everything we do, the Data Team works horizontally across the entire company ... in analytics engineering or data analytics roles within high-growth environments * Strong SQL ...

About The Role Fora is hiring its first Senior Analytics Engineer to help scale how data is modeled ... As our centralized data team grows, we're looking for a dedicated owner of the analytics ...

You'll grow a function spanning Data Science, Analytics Engineering, and Data Analysts, hiring across levels and shaping how these three disciplines work together as one team. You'll set the bar for ...

You'll grow a function spanning Data Science, Analytics Engineering, and Data Analysts, hiring across levels and shaping how these three disciplines work together as one team. You'll set the bar for ...

Analytics Engineer Qualifications: * Bachelor's degree from a top university, required * 3+ years of business intelligence or data analytics experience * Previous experience in data and analytics ...

Our Data team sits at the center of how Pelago makes decisions. As we scale, we're building a data ... The Senior Analytics Engineer is a key force multiplier on that mission. Overview of the Role: W ...

Analytics Engineer

New York, NY ยท On-site

$100K - $140K/yr

Because data fuels everything we do, the Data Team works horizontally across the entire company ... in analytics engineering or data analytics roles within high-growth environments * Strong SQL ...

Director, Data & Analytics

Manhattan, NY ยท On-site

$360 - $410/hr

You'll grow a function spanning Data Science, Analytics Engineering, and Data Analysts, hiring across levels and shaping how these three disciplines work together as one team. You'll set the bar for ...

This role bridges analytics, data engineering, and applied data science, transforming complex and ambiguous business questions into high-quality analyses, dashboards, and data-driven recommendations.

Senior Analytics Engineer

Manhattan, NY ยท On-site

$120 - $160/hr

Whether you're a data scientist, IT professional, executive, or researcher, our solutions empower ... You'll work closely with data engineers who manage ingestion and infrastructure, and with analysts ...

Showing results 21-40

Data Analytics Engineer information

See Manhattan, NY salary details

$49.1K

$143.2K

$195.9K

How much do data analytics engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for data analytics engineer in Manhattan, NY is $143,158.00, according to ZipRecruiter salary data. Most workers in this role earn between $126,400.00 and $151,700.00 per year, depending on experience, location, and employer.

How do data analytics engineers typically collaborate with data scientists and business stakeholders on projects?

Data Analytics Engineers play a crucial role in bridging the gap between raw data and actionable insights by building, optimizing, and maintaining data pipelines. They often work closely with data scientists to ensure data is clean, accessible, and structured for advanced analytics or machine learning models. Additionally, they collaborate with business stakeholders to understand reporting requirements and ensure that data solutions align with organizational objectives. Regular communication and cross-functional teamwork are essential aspects of this role, as engineers must translate business needs into technical specifications and deliver reliable data products.

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

To thrive as a Data Analytics Engineer, you need strong proficiency in data modeling, SQL, and statistical analysis, typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools such as Python, R, Apache Spark, Tableau, and cloud data platforms like AWS or Google BigQuery is essential, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you translate data insights into actionable business solutions. These skills and qualities are crucial for designing robust data pipelines and enabling data-driven decision-making across organizations.

What is the difference between Data Analytics Engineer vs Data Scientist?

AspectData Analytics EngineerData Scientist
CredentialsBachelor's or master's in CS, Data Science, or related fields; certifications like Google Data AnalyticsBachelor's or master's in CS, Statistics, or related fields; certifications like Certified Data Scientist
Work EnvironmentFocus on building data pipelines, dashboards, and analytics toolsFocus on statistical modeling, machine learning, and data exploration
Employer & Industry UsageUsed across tech, finance, healthcare for data infrastructure and analyticsCommon in research, product development, and advanced analytics teams

While both roles work with data, Data Analytics Engineers primarily develop data infrastructure and tools for analysis, whereas Data Scientists focus on statistical modeling and machine learning to generate insights. They often collaborate but have distinct technical focuses.

What does a data analytics engineer do?

A data analytics engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and analyze large datasets. They use tools like SQL, Python, and cloud platforms to enable data-driven decision-making and often collaborate with data scientists and business teams to develop insights and reports.

What are the most commonly searched types of Data Analytics Engineer jobs in Manhattan, NY?

The most popular types of Data Analytics Engineer jobs in Manhattan, NY are:

What are popular job titles related to Data Analytics Engineer jobs in Manhattan, NY?

For Data Analytics Engineer jobs in Manhattan, NY, the most frequently searched job titles are:

What cities near Manhattan, NY are hiring for Data Analytics Engineer jobs?

Cities near Manhattan, NY with the most Data Analytics Engineer job openings:

Infographic showing various Data Analytics Engineer job openings in Manhattan, NY as of August 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $143,158 per year, or $68.8 per hour.

Senior Data & Analytics Engineer (Microsoft Fabric & Power BI)

RIT Solutions, Inc.

Manhattan, NY โ€ข On-site

$61.50 - $81.25/hr

Full-time

Re-posted 24 days ago


Job description

Job Summary:
RIT Solutions, Inc. is seeking a hands-on Senior Data & Analytics Engineer to design, build, and operate enterprise-grade Microsoft Fabric Lakehouse and Power BI solutions supporting marketing and customer analytics. This role is delivery-focused, owning the full lifecycle from ingestion and transformation to semantic modeling, reporting, and production operations.
Responsibilities:
โ€ข Design and implement Microsoft Fabric Lakehouse using Bronze/Silver/Gold (medallion) architecture
โ€ข Build and orchestrate pipelines using Fabric Data Factory
โ€ข Develop scalable transformations using PySpark and Spark SQL
โ€ข Model optimized star schemas and design Power BI semantic models
โ€ข Develop advanced DAX and optimize Power BI performance
โ€ข Implement incremental loads and CDC patterns
โ€ข Apply data quality checks, governance, and documentation/runbooks
โ€ข Configure Row-Level Security (RLS) and enterprise security standards
โ€ข Manage monitoring, alerting, and reliability for production workloads
โ€ข Support Dev/Test/Prod deployments using Fabric Workspaces and Deployment Pipelines
โ€ข Partner closely with Marketing, Growth, and Product stakeholders
Qualifications:
Required:
โ€ข 8โ€“12+ years of data engineering / analytics delivery experience
โ€ข Recent hands-on delivery using Microsoft Fabric, including: Lakehouse, Data Factory, Data Engineering (Spark), Workspaces & Deployment Pipelines
โ€ข Strong Power BI experience: Semantic models, DAX, Performance optimization
โ€ข Advanced SQL, PySpark, and Spark SQL
โ€ข Experience with Delta/Parquet, partitioning, and tuning
โ€ข Marketing analytics domain experience: Web/app events, Campaign, email, and paid media data, CRM / CDP data
โ€ข Proven production experience: Monitoring & alerting, Reliability & operations, Governance and documentation
Preferred:
โ€ข Microsoft Certified: Fabric Data Engineer Associate (DP-700)
โ€ข Microsoft Certified: Fabric Analytics Engineer Associate (DP-600)
โ€ข Microsoft Certified: Power BI Data Analyst Associate (PL-300)
โ€ข Azure Data Fundamentals (DP-900)
โ€ข Azure Fundamentals (AZ-900)
Company:
Jobdiva Job Portal: https://www1.jobdiva.com/candidates/myjobs/searchjobsdone.jsp?a=xbjdnwgjodtga1y1im2g881fkkeiwd0775lbvq8yqgps8vb2q36w2vj1ga6xxork&compid=-1 Recruitment (contingency search and campus selection). Founded in 2019, the company is headquartered in Arlington, USA, with a team of 201-500 employees. The company is currently Growth Stage.