Catalyst Labs

61 Catalyst Labs Data Software Engineer Jobs Hiring Near You

... data leaks, or control breakdowns, they enable enterprise buyers to deploy AI with confidence ... About Us Catalyst Labs is a leading talent agency with a specialized vertical in Applied AI ...

Data & Software Engineer

Mclean, VA · On-site +1

$115.70K - $139K/yr

The Data & Software Engineer works with a small team to build complex data flows for a custom application. Successful candidate will have advanced Python programming skills, familiarity with Java, an ...

Data Software Engineer

Manhattan, NY · On-site

$125.20K - $150.40K/yr

Our client - a prosperous prop trading market maker - is seeking Software Engineers to join one of several Data Engineering teams. They are responsible for the design, development, and operations of ...

... data leaks, or control breakdowns, they enable enterprise buyers to deploy AI with confidence ... About Us Catalyst Labs is a leading talent agency with a specialized vertical in Applied AI ...

... data leaks, or control breakdowns, they enable enterprise buyers to deploy AI with confidence ... About Us Catalyst Labs is a leading talent agency with a specialized vertical in Applied AI ...

... data leaks, or control breakdowns, they enable enterprise buyers to deploy AI with confidence ... About Us Catalyst Labs is a leading talent agency with a specialized vertical in Applied AI ...

Data & Software Engineer

Mclean, VA · On-site

$115.70K - $139K/yr

The Data & Software Engineer works with a small team to build complex data flows for a custom application. Successful candidate will have advanced Python programming skills, familiarity with Java, an ...

Data Software Engineer

Palo Alto, CA

$134.60K - $161.60K/yr

As a Data Software Engineer, you will be at the forefront of supporting our data infrastructure and shaping our data systems and processes. You will gather and analyze user and system requirements ...

Data Software Engineer

Manhattan, NY

$126.20K - $151.60K/yr

We are seeking a Private Credit Data Scientist to sit at the intersection of software and data engineering, supporting back/middle office teams across portfolio analytics, automated reporting ...

Data & Software Engineer

Las Vegas, NV

$104.80K - $125.90K/yr

The Data & Software Engineer will be responsible for the company's data foundation end to end, including integrations, data quality, data modeling, governance enablement, and analytics delivery. This ...

Data & Software Engineer

Las Vegas, NV · On-site

$104.80K - $125.90K/yr

The Data & Software Engineer will be responsible for the company's data foundation end to end, including integrations, data quality, data modeling, governance enablement, and analytics delivery. This ...

Data & Software Engineer

Mclean, VA · On-site

$115.70K - $139K/yr

Overview We are seeking a Data & Software Engineer works with a small team to build complex data flows for a custom application. Successful candidate will have advanced Python programming skills ...

Data & Software Engineer

Mclean, VA

$115.70K - $139K/yr

Overview We are seeking a Data & Software Engineer works with a small team to build complex data flows for a custom application. Successful candidate will have advanced Python programming skills ...

... software development, with a strong focus on data engineering and data science. * Experience in building data pipelines and managing large-scale data systems using technologies like SQL and Python

Data & Software Engineer

Las Vegas, NV · On-site

$104.80K - $125.90K/yr

The Data & Software Engineer will be responsible for the company's data foundation end to end, including integrations, data quality, data modeling, governance enablement, and analytics delivery. This ...

Data Software Engineer

Camden, TN

$100.60K - $120.80K/yr

As a Data Software Engineer, you'll be at the core of how we turn raw Earth Observation data into scalable, reliable and high-quality data products. You'll design and build the pipelines and systems ...

... software development, with a strong focus on data engineering and data science. * Experience in building data pipelines and managing large-scale data systems using technologies like SQL and Python

Showing results 41-60

Catalyst Labs Jobs Information

What are the key skills and qualifications needed to thrive as a Data Software Engineer, and why are they important?

To thrive as a Data Software Engineer, you need strong programming skills (often in Python, Java, or Scala), a solid understanding of data structures and algorithms, and a background in computer science or a related field. Familiarity with big data frameworks (like Hadoop or Spark), database systems (SQL/NoSQL), and data pipeline tools is typically required, along with relevant certifications such as AWS Certified Data Analytics. Excellent problem-solving abilities, collaboration, and effective communication are soft skills that set top performers apart. These skills ensure the efficient design, development, and optimization of robust data systems critical for driving business insights and decision-making.

What are some common challenges Data Software Engineers face when working with large datasets?

Data Software Engineers often encounter challenges related to scalability, data quality, and system performance when handling large datasets. Ensuring that data pipelines can efficiently process high volumes of data without bottlenecks requires robust architecture and frequent optimization. Additionally, maintaining data integrity and consistency across distributed systems can be complex, especially when integrating data from multiple sources. Collaboration with data scientists, analysts, and DevOps teams is key to overcoming these challenges and building reliable, efficient data solutions.

What are Data Software Engineers?

Data Software Engineers are professionals who design, build, and maintain the software systems that enable organizations to collect, process, and analyze large volumes of data. They bridge the gap between data engineering and software development by creating scalable, efficient pipelines and applications that support data-driven decision making. Their responsibilities often include developing data processing frameworks, ensuring data quality, and collaborating with data scientists and analysts to deliver actionable insights.

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

AspectData Software EngineerData Engineer
Primary FocusDeveloping software tools and applications for data processing and analysisBuilding and maintaining data pipelines and infrastructure
Skills & CertificationsProgramming, software development, data modeling, often with certifications in software engineeringDatabase systems, ETL tools, cloud platforms, often with certifications in data engineering
Work EnvironmentSoftware development teams, data science teams, often in tech companiesData infrastructure teams, IT departments, cloud service providers

While both roles work with data, Data Software Engineers focus on creating software solutions for data analysis, whereas Data Engineers build the infrastructure to collect, store, and process data efficiently. Both roles require programming skills and often overlap, but their core responsibilities differ in scope and focus.

What other companies are hiring for Data Software Engineer jobs?
Infographic showing various Data Software Engineer job openings at Catalyst Labs in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 93% Physical, and 7% Remote job distribution.

Other

Posted 13 days ago


Job description

Our Client

A fast growing standards and insurance startup based in San Francisco, they have raised 15 million dollars in funding and are reinventing how enterprises adopt AI agents. Their two pronged model, which includes creating the industry's first AI agent standard and pairing it with bespoke insurance coverage, gives AI companies a trusted pathway to certify their agents and reduces enterprise risk. By helping AI vendors earn credible certification and providing insurance protection against failures such as hallucinations, data leaks, or control breakdowns, they enable enterprise buyers to deploy AI with confidence rather than fear. With deep expertise in AI risk, insurance, and standards, they are building the essential "confidence infrastructure" that will support safe AI scale up.

About Us

Catalyst Labs is a leading talent agency with a specialized vertical in Applied AI, Machine Learning, and Data Science. We stand out as an agency that's deeply embedded in our clients' recruitment operations.

We collaborate directly with Founders, CTOs, and Heads of AI in those themes who are driving the next wave of applied intelligence from model optimization to productized AI workflows. We take pride in facilitating conversations that align with your technical expertise, creative problem-solving mindset, and long-term growth trajectory in the evolving world of intelligent systems.

Location: San Francisco

Work type: Full Time,

Compensation: above market base + bonus + equity

Roles & Responsibilities

  • Lead end-to-end development of AI agent products and infrastructure, collaborating closely with the founding team.

  • Build and scale evaluation pipelines to detect AI agent failures in deployment (e.g., hallucinations, jailbreaks, brand risks, data leakage).

  • Design and implement the gold standard for secure, safe, and reliable AI agents.

  • Develop and maintain full-stack systems, including backend (Python, LangChain) and frontend (React, TypeScript) components.

  • Create monitoring tools, filters, and authorization frameworks to support AI agent builders.

  • Work on-site in San Francisco, contributing to a fast-paced, high-agency startup environment.

  • Ship products frequently, gather user feedback, and iterate rapidly to improve reliability and safety of AI systems.

Qualifications

  • Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.

  • 1+ years of experience as an AI Software Engineer with active coding responsibilities.

  • Proven expertise developing AI agents and LLM-based systems (e.g., published research or work in a leading AI team).

  • Founding or early-stage startup experience, with demonstrated ability to own end-to-end product development.

  • Strong understanding of AI evaluation methodologies and deployment reliability standards.

  • Excellent problem-solving and communication skills with the ability to articulate technical impact in business terms.

  • Evidence of high agency, ownership, and execution velocity (e.g., promotions in <2 years, side projects, or rapid iteration).

  • Can work full-time on-site in San Francisco (5 days a week).