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

Authentic

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 ...

Rwa.Xyz

Software Engineer (Data Platform)

New York, NY · On-site

$175K - $225K/yr

Software Engineer Team: Data Platform Type: Individual Contributor Level: Mid-level (3-6 years of experience) Compensation: $175k-225k salary + 0.5%-1% equity, depending on experience Location:

Elliptic

Senior Software Engineer - Data

New York, NY · Remote

$206K - $255K/yr

Are you a strong software engineer who's passionate about data, distributed systems, and delivering ... Collaborate with engineers, product managers, data scientists, and intelligence analysts to build ...

Aita Consulting Services, Inc

Data Engineer

Totowa, NJ · On-site

$116K - $139K/yr

... analyze data on how customers are using client products. ESSENTIAL FUNCTIONS * Identifies ... Develop data pipelines to support BU and software engineer's data requirements. * Ensure data ...

Cohere

Software Engineer, Data Infrastructure

New York, NY · On-site

$125K - $150K/yr

As a Software Engineer, Data Infrastructure, you will: * Work directly on petabyte-scale storage ... modern analytics tooling such as BigQuery, Airflow, or dbt * Genuine excitement about AI. You ...

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 ...

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Showing results 21-40

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

Software Engineer - Data

Authentic

New York, NY • On-site

$125K - $150K/yr

Full-time

Medical, Retirement, PTO

Re-posted 15 days ago

Job description

Authentic helps insurance brokers create better insurance products for their clients. We provide the technology platform and behind-the-scenes support that lets brokers build custom insurance solutions for specific industries or customer groups. Think of us as the operating system that powers these specialized insurance offerings. For brokers, this means they can offer unique products their competitors don't have, earn more money, and spend less time on paperwork and administrative tasks. We handle the complex (technology, compliance, and partnerships with highly-rated insurance carriers), so they can focus on serving their customers and growing their business.
Responsibilities
  • Design and build reliable data pipelines and infrastructure that power underwriting models, claims processing, and operational reporting
  • Own data models end-to-end-from source ingestion through transformation to delivery-ensuring data quality, freshness, and accessibility for internal teams, product features, and external partners
  • Identify bottlenecks in existing data workflows and implement solutions that improve reliability, reduce latency, and scale with business growth
  • 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 translate them into well-designed pipelines and models
  • Implement monitoring, alerting, and data quality checks to catch issues before they impact downstream consumers
  • Contribute to data governance practices, including documentation, lineage tracking, and access controls for regulatory and compliance needs

Experience
  • 3-5 years of experience building and maintaining data pipelines and infrastructure in production environments
  • Strong proficiency with modern data stack tools: Snowflake, dbt, and Airflow (or similar orchestration tools)
  • Experience with Python for data processing and pipeline development
  • Solid understanding of data modeling best practices (dimensional modeling, slowly changing dimensions, etc.)
  • Familiarity with AWS data services and infrastructure-as-code
  • Demonstrated ownership mindset: you clarify requirements, ask great questions, and drive work to completion
  • Track record of building reliable systems without sacrificing velocity-you know when to move fast and when to be careful

Our (FTE) benefits
  • Competitive salary, equity, and role trajectory
  • Comprehensive health benefits for you and your family
  • 401(k) plan with company match
  • Unlimited PTO
  • Paid parental leave

About Authentic
Authentic builds the infrastructure that program insurance runs on. We partner with leading brokerages to design and manage custom insurance programs, backed by A and A- rated carriers operating nationwide. Brokers bring the data and distribution. We bring everything else: the technology, the capacity, and the underwriting expertise to stand up specialized programs at speed and build them to last. We're a Series A company backed by top investors, including FirstMark Capital, Zigg Capital, Slow Ventures, Clocktower, Commerce Ventures, and Altai. We've grown over 15x in the past year with a massive market opportunity ahead.
Authentic is committed to building an inclusive working environment regardless of gender, sexual orientation, religion, ethnicity, race, education, age, or other personal characteristics. We believe that people do their best work when they can be themselves, and different perspectives and experiences make us stronger as a team. We're proud of the supportive and inclusive workplace we're building together and are always working to make it even better.

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