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Software Engineer Data Analyst Jobs in New York (NOW HIRING)

Software Engineer, Data

New York, NY

$125K - $150K/yr

About the role: We're looking for a Software Engineer to support Trustwell Living, Monticello ... SQL for data modeling and analysis Infrastructure & Delivery * AWS for cloud infrastructure and ...

Software Engineer, Data

New York, NY · On-site

$125K - $150K/yr

About the role: We're looking for a Software Engineer to support Trustwell Living, Monticello ... SQL for data modeling and analysis Infrastructure & Delivery * AWS for cloud infrastructure and ...

Software Engineer, Data

New York, NY · On-site

$120K - $150K/yr

Software Engineer , Data About IEX IEX (IEX Group, Inc.) is an exchange operator and technology company dedicated to innovating performance in capital markets. Founded in 2012, IEX launched a new ...

Software Engineer , Data About IEX IEX (IEX Group, Inc.) is an exchange operator and technology company dedicated to innovating performance in capital markets. Founded in 2012, IEX launched a new ...

This role is one part data engineering, one part data analysis. Some of the projects you may work ... Analyze large, complex datasets to extract insights and decide on the appropriate techniques and ...

Software Engineer, Data

New York, NY · On-site

$100K - $250K/yr

This role is one part data engineering, one part data analysis. Some of the projects you may work ... Analyze large, complex datasets to extract insights and decide on the appropriate techniques and ...

Software Engineer - Data

Manhattan, NY · On-site

$126K - $151K/yr

Point72 is a leading global alternative investment firm, and they are seeking a Software Engineer to help build the next generation of data infrastructure. The role involves creating a unified ...

What you'll do As a software engineer, you will help build the next generation of data infrastructure at the firm-thinking holistically about systems across APIs, data models, cloud infrastructure ...

We built the platform marketers use to understand, measure, and win in that world: the analytics ... We are looking for a Software Engineer, Data Platform to design, build, and scale the ...

Software Engineer - Data

New York, NY · On-site

$200K - $300K/yr

What you'll do As a software engineer, you will help build the next generation of data infrastructure at the firm-thinking holistically about systems across APIs, data models, cloud infrastructure ...

Software Engineer - Data

New York, NY · On-site

$200K - $300K/yr

What you'll do As a software engineer, you will help build the next generation of data infrastructure at the firm--thinking holistically about systems across APIs, data models, cloud infrastructure ...

Software Engineer, Data Platform

New York, NY · On-site

$125K - $150K/yr

About the Role We're hiring a Software Engineer to own our data platform and analytics . This will be the event infrastructure that ties our services together and makes surfacing new insights to our ...

Software Engineer - Data

New York, NY · On-site

$125K - $150K/yr

Build and maintain the data warehouse architecture, optimizing for both analytical workloads and operational use cases * Partner with engineering, product, and ops teams to understand data needs and ...

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Software Engineer Data Analyst information

See New York salary details

$48.7K

$141.9K

$194.2K

How much do software engineer data analyst jobs pay per year?

As of Aug 8, 2026, the average yearly pay for software engineer data analyst 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.

What is the difference between Software Engineer Data Analyst vs Data Scientist?

AspectSoftware Engineer Data AnalystData Scientist
Required CredentialsBachelor's in CS, Data Analysis, or related; programming skillsBachelor's or higher in CS, Statistics, or related; advanced analytics skills
Work EnvironmentSoftware development teams, data analysis projectsResearch, modeling, predictive analytics teams
Employer & Industry UsageTech companies, finance, healthcareTech firms, research institutions, finance
Common Search & ComparisonOften compared for data roles involving coding and analysisMore focused on predictive modeling and research

The main difference between a Software Engineer Data Analyst and a Data Scientist lies in their focus and skill set. Software Engineers Data Analysts primarily develop data tools and analyze data using programming, while Data Scientists focus on building predictive models and advanced analytics. Both roles require strong technical skills, but Data Scientists typically have more expertise in statistics and machine learning.

How do software engineer data analysts typically collaborate with other teams to deliver data-driven solutions?

Software Engineer Data Analysts work closely with cross-functional teams, including data scientists, product managers, and software developers, to collect requirements and translate business needs into actionable analytics solutions. They often participate in regular meetings to align on project goals, share progress, and troubleshoot data integration challenges. Effective communication is key, as they must explain technical findings to non-technical stakeholders and ensure that the data pipelines and dashboards they develop meet end-user needs. This collaborative environment provides opportunities to broaden technical skills and gain insights into various business functions.

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

To thrive as a Software Engineer Data Analyst, you need strong programming skills (such as Python or Java), a solid understanding of data structures and algorithms, and a background in statistics or computer science. Proficiency in SQL, data visualization tools (like Tableau or Power BI), and experience with big data platforms (such as Hadoop or Spark) are typically required, along with relevant certifications. Analytical thinking, problem-solving ability, and effective communication help you translate complex data into actionable insights. These skills ensure you can extract, analyze, and communicate data-driven solutions that support business objectives.

What is a software engineer data analyst?

A Software Engineer Data Analyst is a professional who combines software engineering skills with data analysis expertise to extract insights from data and build applications or tools for data processing. They typically design, develop, and maintain software systems that collect, store, and analyze large datasets. Their role often involves writing code to automate data workflows, create dashboards, and perform statistical analyses. These professionals work closely with other engineers, data scientists, and business stakeholders to support data-driven decision making.
What cities in New York are hiring for Software Engineer Data Analyst jobs? Cities in New York with the most Software Engineer Data Analyst job openings:

Software Engineer, Data

MONTICELLOAM

New York, NY

$125K - $150K/yr

Full-time

Posted 24 days ago


Job description

About us: MONTICELLOAM, LLC and its affiliates ("Monticello") is a real estate and asset-based investment firm providing asset management and comprehensive capital solutions for healthcare, multifamily, and commercial real estate assets throughout the US. MonticelloAM is seeking team players who can work in a collaborative environment and possess drive, integrity, creativity, compassion, and a strong work ethic.

About the role: We're looking for a Software Engineer to support Trustwell Living, Monticello's affiliated senior living management company, by consolidating data from across all our systems into a single source of truth and building the tools our teams rely on every day. Trustwell Living is one of the fastest-growing senior housing operators, currently managing 41 communities across the United States, and runs assisted living and memory care communities end to end, overseeing everything from clinical and resident care to staffing, budgets, and the operating systems that keep each community performing. You'll own the pipelines and warehouse that centralize their operational data, then build the reporting, dashboards, and internal applications that drive day-to-day operational decisions.

This role is fully in person. Candidates must be able to work onsite at our office location.

Our Tech Stack

At MonticelloAM, we build and operate our data platform using modern, scalable technologies. In this role, you'll work hands-on with:

Application Development

  • Python for backend services, APIs, automation, and data engineering
  • React for front-end web interfaces and internal tools
  • REST APIs that deliver data and tooling to business users

Data Platform

  • Snowflake as our cloud data warehouse
  • dbt for modular, version-controlled data transformations
  • Airflow for orchestration and workflow automation
  • SQL for data modeling and analysis

Infrastructure & Delivery

  • AWS for cloud infrastructure and services
  • Docker and CI/CD pipelines for automated, reliable deployment
  • Git for version control and CI/CD

Business Systems

  • Sage Intacct for accounting and financial management
  • Ramp for spend management and corporate cards
  • AVID for accounts payable automation
  • ECP for electronic care planning and eMAR
  • Welcome Home for CRM and resident move-in management
  • UKG for HR, payroll, and workforce management
  • Teambridge for workforce scheduling and communication
  • Monday.com for project and work management
  • Jobvite for recruiting and applicant tracking

About Your Team

You'll join an entrepreneurial, collaborative team that builds the data, reporting, and analytics systems powering Trustwell's management operations and executive team. You'll work closely with the executive team, business stakeholders, and our offshore development teams to turn requirements into delivered solutions. Each team member owns their solutions, beyond just the technical implementation.

What you'll own:

  • Serving as the primary engineering resource for Trustwell Living, taking projects end to end – from business problem to deployed, production solution
  • Designing and building the data pipelines that bring data from all our systems into a single, reliable source of truth (Snowflake, Airflow, dbt)
  • Building full-stack internal applications – React front ends on Python APIs, including CRUD tools – that put data directly in front of business users
  • Developing the reporting and dashboards that support day-to-day operations and portfolio decisions

You'll also contribute to:

  • Evolving our data models and warehouse architecture
  • Data quality frameworks and automated QC processes
  • Deployment, CI/CD, and monitoring that keep our systems running reliably
  • Contributing to AI initiatives across processes and analytics, including helping shape new AI solutions

Qualifications

Core:

  • Three to five years of work experience building and deploying software end to end – from concept through production
  • Strong Python skills across data engineering, backend services, and APIs
  • Hands-on experience building data pipelines and transformations (Airflow, dbt, or similar)
  • Experience with cloud data warehouses (Snowflake preferred) and SQL
  • Experience working directly with non-technical stakeholders

Also valuable:

  • DevOps experience – Docker, CI/CD, infrastructure-as-code, and AWS
  • Front-end development with React
  • Git and CI/CD practices
  • Familiarity with HIPAA and safeguarding protected health information (PHI), given the resident data we handle

We welcome applicants from a variety of educational and professional backgrounds. If you've built and shipped software and are looking to own projects end to end, we'd like to hear from you – even if your experience doesn't match every bullet.

What We Value

  • A strong team player who thrives in a collaborative environment
  • Excellent communication – a good listener asks insight-generating questions
  • Comfortable being uncomfortable – able to navigate ambiguity and rapid change
  • An entrepreneurial mindset – be willing to take a risk on something new to improve the business, not just prescribed work
  • Strong healthcare operations domain knowledge

Monticello offers a competitive base salary and bonus. The base salary range for this position in New York City is $110,000 to $140,000/year. The specific compensation that will be offered is based on an understanding of the hired candidates' qualifications at the time of hire. Employees are eligible for a discretionary bonus based on employee work performance reviewed during the annual review process.