ZipRecruiter

Log In

1

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

Arya Health

Senior Software Engineer, Data

New York, NY · On-site

$160K - $230K/yr

About the Role We're looking for a Senior Software Engineer focusing on Data to join our team and ... Deliver a performance analysis on at least one critical data flow and propose optimization. * Begin ...

Ramp

Software Engineer, Data Platform

New York, NY · On-site

$168K - $324K/yr

Build and integrate the components of Ramp's Analytics Platform and Machine Learning Platform. * Build tools that improve the agility and data experience of Ramp's Applied Scientists, AI Engineers ...

Bright Mind Solutions LLC

Data Engineer

Newark, NJ · On-site

$55 - $60/hr

Prefer Local to New Jersey as its Hybrid role Someone from financial project background We are seeking an experienced AWS Data Engineer / Data Analyst with hands-on expertise in building scalable ...

Authentic

Sr. Software Engineer - Data

New York, NY · On-site

$125K - $150K/yr

Own the data warehouse architecture, making decisions that balance analytical performance ... Partner with engineering, product, and ops teams to understand data needs and translate them into ...

M7 Health

Software Engineer, Data & Integrations

New York, NY · Remote

$106K - $143K/yr

About The Role We're looking for a hands-on Software Engineer, Data & Integrations to lead a team of engineers who own, scale, and extend the integrations that connect M7 to health systems' core ...

Tech Consulting

Be Seen First

Data Scientist

New York, NY · On-site

$30 - $35/hr

Software Engineer / Data Scientist Full Time Atlanta, GA - Must be open to relocating anywhere in the United States based on project needs. About the Role: We are looking for a Software Engineer ...

PitchBook Data

Data Analyst

New York, NY · On-site

$85K - $100K/yr

Utilize strong Microsoft Excel, SQL, and other programming language skills to provide high-quality ... software easily * Must be authorized to work in the United States without the need for visa ...

previous page

Showing results 41-60

All JobsSoftware Engineer Data Analyst JobsSoftware Engineer Data Analyst Jobs in New York

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 Analyst jobs near you

Lead Software Engineer - Data & AI Platform Engineer

JPMorgan Chase & Co.

Jersey City, NJ • On-site

$152K - $215K/yr

Full-time

Medical, Retirement

Posted 4 days ago

JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 493 frontline employees who took The Breakroom Quiz

73rd of 170 rated banks

Job description


We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.
As a Lead Software Engineer at JPMorgan Chase, within the Commercial & Investment Banking - Data Analytics - Payments Technology team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.
Job responsibilities
  • Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
  • Designs, builds, and maintains scalable data pipelines and ETL/ELT workflows for batch and real-time processing using Spark, Airflow, Kafka, and Flink
  • Develops data platform components including data cataloging, data quality frameworks, and semantic/metrics layers with embedded governance, lineage, and compliance standards
  • Implements data modeling strategies (fact and dimensional, wide tables) to support analytics, reporting, and downstream consumption
  • Partners with analytics teams, product managers, and business stakeholders to translate data requirements into production-grade solutions
  • Develops secure high-quality production code, and reviews and debugs code written by others
  • Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
  • Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
  • Leads development of the Agentic Autonomous Lakehouse capability - automating governed self-service pipeline provisioning and lakehouse operations (health/cost/performance analysis, best-practice enforcement)
  • Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
  • Adds to team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills
  • Formal training or certification on software engineering concepts and 5+ years of applied experience
  • Hands-on practical experience delivering system design, application development, testing, and operational stability
  • Demonstrated professional experience focused on software engineering or data platform development
  • Advanced in one or more programming languages(s); Python, Java and SQL
  • Hands-on experience with distributed data processing frameworks such as Apache Spark and Flink
  • Solid understanding of data modeling techniques (star schema, snowflake) and query optimization
  • Experience designing and operating data pipelines on Databricks using orchestration tools such as Apache Airflow
  • Proficiency with cloud data services (AWS S3, Glue, Redshift, Athena, EMR, Lake Formation, or equivalent)
  • Experience engineering production-grade data platforms on Kubernetes with open catalog integration (e.g., Apache Iceberg, Unity Catalog, OpenMetadata) for scalable data discovery, lineage, and governance.
  • Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
  • Experience developing Agentic AI, LLMs, RAG architectures, MCP, vector databases, and embedding-based retrieval systems

Preferred qualifications, capabilities, and skills
  • Hands-on familiarity with Data Platform and transformation framework development
  • Experience with data mesh or data product architectures
  • Proficiency with Infrastructure as Code (Terraform) and containerized deployments (Docker, Kubernetes)
  • Experience with data observability, quality, and metadata management tools
  • Experience with semantic layers, metrics stores, or BI platforms (Tableau, dbt Metrics)

About Us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
About the Team
J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

What JPMorgan Chase & Co. employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply