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Data Analytics Engineer Jobs in New York (NOW HIRING)

Forus Inc

Data & Analytics Engineer

New York, NY · On-site

$170K - $250K/yr

About the role As a Data & Analytics Engineer at Forus, you will build the data foundation that powers how we operate, measure, and grow. You will design and maintain our core data models, pipelines ...

Alchemy Insights, Inc

Data Analytics Engineer

New York, NY · On-site

$200K - $240K/yr

... in data engineering with strong SQL and deep Snowflake expertise * Experience designing efficient, scalable analytical data models * Proficiency with dbt or comparable transformation frameworks

3B Staffing LLC

Data Analytics Engineer (AI)

Stamford, CT · On-site

$122K - $146K/yr

Senior AI Data Analytics Engineer Stamford, CT (Hybrid) local only EC:- Financial Services Client GC, USC LLM optimization, prompt engineering, embeddings & vector DBs, Python, ML/AI deployment ...

AA2IT

Lead Data Analytics Engineer

Woodcliff Lake, NJ · On-site

$90 - $125/hr

Lead Data Analytics Engineer Rate: $90-$125/HR Location: Woodcliff Lake, NJ 07677 Duration: 1 year Qualifications: * Bachelor's or Master's degree in a relevant field such as: Data Science, Business ...

New York Blood Center Inc

Analytics Engineer

Rye, NY · On-site

$142K/yr

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.

Duetti

Analytics Engineer

New York, NY · 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 ...

Pelago

Sr. Analytics Engineer

New York, NY

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 ...

New York Blood Center

Analytics Engineer

Rye, NY · On-site

$142K/yr

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.

Duetti

Analytics Engineer

New York, NY · 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 ...

Fora

Senior Analytics Engineer

New York, NY

$130 - $185K/hr

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 ...

Duetti

Analytics Engineer

New York, NY · 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 ...

MERU

Analytics Engineer, Data Insights

New York, NY · On-site

$125K/yr

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 ...

New York Blood Center Inc

Analytics Engineer

Rye, NY · On-site

$132K - $142K/yr

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.

Justworks

Senior Analytics Engineer

New York, NY · On-site

Department Technology, Data & Analytics About The Team The Data & Analytics team is Justworks' data ... As a Senior Analytics Engineer, you will be a key contributor in helping the organization derive ...

Pelago

Sr. Analytics Engineer

New York, NY · On-site

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 ...

Oscar Health

Analytics Engineer I

New York, NY · Hybrid

$106K - $140K/yr

We're hiring an Analytics Engineer I to join our Data Team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We ...

Judge Group, Inc.

Data Analytics- II

Bridgewater, NJ · On-site

$50 - $52/hr

Our client is currently seeking a Data Analytics Analyst/Engineer- II Working Model: Hybrid - 3 days in office per week but this can be slightly flexible Targeted Years of Experience: 3-5 years ...

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All JobsData Analytics Engineer JobsData Analytics Engineer Jobs in New York

Data Analytics Engineer information

See New York salary details

$48.7K

$141.9K

$194.2K

How much do data analytics engineer jobs pay per year?

As of Jul 27, 2026, the average yearly pay for data analytics engineer in New York is $141,914.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,300.00 and $150,400.00 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.

Can a data engineer make 200k?

Data engineers can earn $200,000 or more annually, especially with experience, advanced skills in cloud platforms, big data tools, and certifications. Salaries vary by location, industry, and company size, with senior roles and those in high-demand markets more likely to reach or exceed this level.

What engineers make $500,000?

Senior data analytics engineers with extensive experience, advanced skills in data modeling, machine learning, and proficiency with tools like Python, SQL, and cloud platforms can reach salaries of $500,000 or more, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires a combination of technical expertise, leadership roles, and sometimes equity compensation.

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.

Is 40 too late for data science?

Data Analytics Engineers and data science professionals can successfully transition into the field at age 40 or older, as skills such as programming, statistical analysis, and experience with tools like Python or SQL are valuable regardless of age. Many employers value diverse experience and lifelong learning, and certifications or online courses can help enhance credentials at any age.

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 systems 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 deliver actionable insights.
What are the most commonly searched types of Data Analytics Engineer jobs in New York? The most popular types of Data Analytics Engineer jobs in New York are:
What are popular job titles related to Data Analytics Engineer jobs in New York? For Data Analytics Engineer jobs in New York, the most frequently searched job titles are:
What job categories do people searching Data Analytics Engineer jobs in New York look for? The top searched job categories for Data Analytics Engineer jobs in New York are:
What cities in New York are hiring for Data Analytics Engineer jobs? Cities in New York with the most Data Analytics Engineer job openings:
Data Analytics Engineer jobs near you
Infographic showing various Data Analytics Engineer job openings in New York as of July 2026, with employment types broken down into 92% Full Time, 6% Part Time, and 2% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $141,914 per year, or $68.2 per hour.

Data & Analytics Engineer

Forus Inc

New York, NY • On-site

$170K - $250K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 13 days ago

Job description

About us
Forus is building an AI-powered network that connects doctors, pharmacies, payers, and biopharma to accelerate new science to patients.
Our platform automates the complexity between a doctor prescribing a medicine and a patient starting treatment, including insurance coverage, financial assistance, and supply chain navigation. We provide this support free to doctors and patients, helping them get life-changing medicine faster, cheaper, and easier. The resulting network enables biopharma companies to design better research, launch new drugs more effectively, and invest in harder-to-treat conditions.
Forus has exceptional product-market fit and is growing rapidly through organic adoption:
  • Accelerating scale: We already support patients across more than 80% of ZIP codes and partner with 5 of the 10 largest biopharma companies in the world.
  • AI-native, durable model: Our business becomes stronger as AI improves, as every new doctor, patient, and partner makes the network more valuable.
  • Backing to build for the long term: We raised $160M+ from leading investors to build an exceptional team and unlock the full scale of the opportunity.

Our number one priority is scaling to market demand. We are looking for individuals who are high horsepower, high throughput, and hyper resourceful to help us increase capacity and grow. We move fast and need to move faster.
If we succeed, science will be the only limit to medicine.
All full-time roles are in person in New York.
About the role
As a Data & Analytics Engineer at Forus, you will build the data foundation that powers how we operate, measure, and grow. You will design and maintain our core data models, pipelines, and reporting infrastructure, ensuring the right people have access to clean, trustworthy, decision-grade data. This is a cross-functional, impact-heavy role in which you will work closely with product, ops, growth, and leadership to build the systems that enable better, faster decisions across the company.
You will also help define our data & analytics engineering practices: how we structure metrics, review code, manage pipelines, and build for scale. Your work will directly support everything from product usage visibility to operational performance to life sciences client reporting.
This is a demanding role, with a high level of autonomy and responsibility. You will be expected to "act like an owner" and commit yourself to Forus' success. If you are low-ego, hungry to learn, and excited about intense, impactful work that drives both company growth and accelerated career progression, we want to hear from you.
If you join, you will:
  • Build and maintain the core data models that serve as the foundation for internal analytics and client-facing insights
  • Design and operate the data pipelines that transform raw sources into clean, analytics-ready tables
  • Create dashboards and reporting tools that drive performance visibility and decision-making across product, ops, and GTM
  • Define and enforce metric consistency across teams - including core business KPIs and product usage definitions
  • Help improve and scale our analytics stack (we use GCP BigQuery and Dataform, Fivetran, Postgres, and dashboarding tools)
  • Collaborate with stakeholders across teams to understand data needs and translate them into reliable systems
  • Contribute to internal data culture through documentation, education, and code quality standards

We're looking for you if you have:
  • 3-6 years of experience in data engineering, analytics engineering, or a technical data analyst role with production ownership
  • Expert-level SQL and comfort working in a code-first environment (versioning, testing, documentation)
  • Experience designing data models that balance usability, performance, and long-term maintainability
  • Familiarity with the modern data stack - dbt, Fivetran, Airflow, GCP/AWS/Snowflake, Metabase (or equivalents)
  • Strong written and verbal communication that allows you to be an effective participant in both internal debates and external relationships
  • Track record of moving quickly, finding shortcuts, and going to unreasonable lengths to deliver on goals
  • High NPS with your former teammates

This is a list of ideal qualifications for this position. If you don't meet every single one of them, you should still consider applying! We're excited to work with people from underrepresented backgrounds, and we encourage people from all backgrounds to apply.
Working with us
Forus is based in New York, with our full team working out of a beautiful and spacious office in SoHo.
We run as a high-trust environment with high autonomy, which requires that everyone is fully competent and operates in line with our principles:
  • Do the math. Be rigorous, assume nothing. Break problems down and reason from the ground up.
  • Expand the solution space. Be resourceful and audacious. Resist false constraints and push beyond the obvious before committing.
  • Spit it out. Speak directly, invite critique, avoid equivocation. We want right answers, not comfortable ones.
  • Raise the bar together. Hold a high standard for execution, push each other directly, and win as a team.

We provide competitive compensation with meaningful equity (for full-time employees). Everyone who joins will be a major contributor to our success, and we reflect this through ownership and pay.
We also provide rich benefits to ensure you can focus on creating impact (for full-time employees):
  • Fully covered medical, vision, and dental insurance.
  • Memberships for One Medical, Talkspace, Teladoc, and Kindbody.
  • Unlimited paid time off (PTO) and 16 weeks of parental leave.
  • 401K plan setup, FSA option, commuter benefits, and DashPass.
  • Lunch at the office every day and Dinner at the office after 6:30 pm.

Our salary ranges are based on paying competitively for our company's size and industry, and are one part of the total compensation package that also includes equity, benefits, and other opportunities at Forus (for full-time employees). Individual pay decisions are ultimately based on a number of factors, including qualifications for the role, experience level, skillset, geography, and balancing internal equity.
Forus is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.

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