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Data Systems Engineer Jobs (NOW HIRING)

CAIS

AI & Data Systems Engineer

New York, NY · On-site

$125K - $160K/yr

The AI & Data Systems Engineer joins the Business Transformation (BT) team as its technical backbone - configuring, integrating, and deploying solutions rapidly without building software from scratch.

Apple

Big Data Systems Engineer

Austin, TX

Description Join our Infrastructure Systems Engineering team within the Fleet Operations Engineering organization, where we design, build, and operate the large-scale Linux systems that power ...

Apple

Big Data Systems Engineer

Austin, TX · On-site

Description Join our Infrastructure Systems Engineering team within the Fleet Operations Engineering organization, where we design, build, and operate the large-scale Linux systems that power ...

MPW

Industrial Data Systems Engineer

Hebron, OH

... Engineering, vendors, and other stakeholders, including sound judgment on when to escalate issues. What You'll Do * Own and support the industrial data historian platform and the systems that collect ...

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Data Systems Engineer information

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$53.5K

$127.2K

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How much do data systems engineer jobs pay per year?

As of Aug 25, 2026, the average yearly pay for data systems engineer in the United States is $127,215.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,000.00 and $157,000.00 per year, depending on experience, location, and employer.

What is a data systems engineer?

Data Systems Engineers are professionals who design, build, and maintain the infrastructure and systems that manage and process large volumes of data within an organization. They ensure data flows efficiently between databases, applications, and users, often working with technologies such as databases, data warehouses, and cloud platforms. Their responsibilities include optimizing data pipelines, ensuring data security, and supporting analytics and business intelligence initiatives. Data Systems Engineers collaborate closely with data scientists, software engineers, and IT teams to create reliable, scalable, and secure data environments.

What are the key skills and qualifications needed to thrive as a data systems engineer?

To excel as a Data Systems Engineer, you need strong skills in data architecture, database management, and programming, often backed by a degree in computer science or a related field. Familiarity with tools like SQL, Python, Hadoop, and cloud platforms, as well as certifications such as AWS Certified Data Analytics or Google Professional Data Engineer, is typically required. Exceptional problem-solving, collaboration, and analytical thinking help you design robust, scalable data solutions and communicate effectively with stakeholders. These skills and qualities are crucial for ensuring data integrity, optimizing system performance, and supporting organizational decision-making.

What are some common challenges data systems engineers face when integrating new data sources?

Data Systems Engineers often encounter challenges such as ensuring data compatibility across diverse formats, maintaining data integrity during migration, and managing system performance while integrating new sources. Collaborating closely with data analysts, software developers, and database administrators is key to anticipating and addressing these issues. Successful integration frequently requires thorough testing, robust error handling, and establishing clear data governance protocols to prevent inconsistencies or data loss.

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

AspectData Systems EngineerData Engineer
CredentialsBachelor's in CS, certifications like AWS, AzureBachelor's in CS, certifications like AWS, Azure
Work EnvironmentDesigning and maintaining data infrastructure, systems integrationBuilding data pipelines, ETL processes, data storage solutions
Industry UsageIT, tech companies, large enterprisesTech, finance, healthcare, any data-driven industry

Both roles require similar technical skills and certifications, often working in data infrastructure environments. Data Systems Engineers focus on designing and maintaining data systems, while Data Engineers primarily build and optimize data pipelines. The roles are complementary and often overlap in organizations managing complex data architectures.

More about Data Systems Engineer jobs

What states have the most Data Systems Engineer jobs?

States with the most job openings for Data Systems Engineer jobs include:

What job categories do people searching Data Systems Engineer jobs look for?

The top searched job categories for Data Systems Engineer jobs are:

Data Systems Engineer jobs near you
Infographic showing various Data Systems Engineer job openings in the United States as of August 2026, with employment types broken down into 86% Full Time, 9% Part Time, 4% Contract, and 1% Nights. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $127,215 per year, or $61.2 per hour.

AI & Data Systems Engineer

New York, NY • On-site

CAIS
Finance and Insurance • 51 - 200 employees
Learn more about CAISexternal

$125K - $160K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 23 days ago

Job description

CAIS is the pioneer in democratizing access to and education about alternative investments for independent financial advisors, empowering them to engage and transact with leading asset managers on a massive scale through a wide variety of alternative investment products and technology solutions. CAIS provides financial advisors with a broad selection of alternative investment strategies, including hedge funds, private equity, private credit, real estate, digital assets, and structured notes. CAIS also delivers industry-leading technology, operational efficiency, and world-class client service throughout the pre-trade, trade, and post-trade experience. CAIS supports over 50,000 advisors who oversee more than $6 trillion in network assets.
CAIS is transforming Platform Operations from a primarily manual function into a technology-enabled business transformation organization. The AI & Data Systems Engineer joins the Business Transformation (BT) team as its technical backbone - configuring, integrating, and deploying solutions rapidly without building software from scratch.
The BT team partners with the AI & Data Technology teams to optimize solutions & deployment processes on platforms including Snowflake (Cortex, Streamlit), N8N, Airtable, Salesforce, DataHub, Claude/CoWork, and Stonly. You will unblock the team, accelerate automation delivery, and help establish the guardrails needed to scale safely - in close partnership with the Technology organization.
Responsibilities
Platform & Integration
  • Own configuration and integration of BT's tool stack; resolve API, connectivity, and configuration blockers
  • Design and implement Salesforce ↔ Snowflake integrations and other cross-system data flows
  • Build Streamlit apps and operational dashboards that put data directly in business users' hands

AI & Automation Enablement
  • Deploy intelligent automations using Snowflake Cortex, Claude/CoWork, N8N, and AI-native tooling
  • Co-pilot BT team members through prototyping, testing, and operationalizing agentic workflows
  • Create reusable templates and automation patterns that raise the team's overall delivery velocity

Data & Reporting Operations
  • Maintain Snowflake queries, data models, and reporting layers serving BT's operational and analytical needs
  • Use DataHub to catalog assets and support data discoverability across the BT environment
  • Assist in ensuring data security and integrity in partnership with Engineering and InfoSec teams

Engineering Practices & Safe Delivery
  • Partner with Technology to implement SDLC, testing, deployment, and version control practices for BT's tool stack
  • Define lightweight automation standards (reliability, error handling, logging) - guardrails that enable speed, not slow it
  • Maintain documentation so configurations and processes are auditable and transferable

Cross-Functional Partnership
  • Bridge BT and Engineering/InfoSec - translate business requirements into specs, surface constraints early
  • Mentor BT team members upskilling in automation and data tools; participate in design reviews with senior engineers

Required
  • 2-5 years in systems/automation/data engineering or business systems - fintech preferred
  • Hands-on Snowflake (SQL, queries); Cortex AI or Streamlit a strong plus
  • SaaS platform configuration and API integration (Airtable, Salesforce, workflow tools)
  • Workflow automation platforms: N8N, Zapier, Make, or equivalent
  • Version control (Git) and software engineering fundamentals (environments, testing, CI/CD basics)
  • Strong communicator across technical and non-technical audiences

Preferred
  • Salesforce Admin configuration (flows, custom objects, reports); certification a plus
  • AI/LLM tooling or agentic frameworks (Claude/CoWork, Langchain, or similar)
  • Data cataloging tools: DataHub, Alation, or Collibra
  • Python or scripting for automation or data processing
  • Streamlit app development or lightweight internal tooling
  • Background in alternative investments or wealth management operations

CAIS is consistently recognized as a Best Place to Work, and our culture is at the heart of our success. We are committed to fostering an inclusive environment where employees can be their most authentic selves and feel inspired and supported to bring their voice forward to drive community, growth, and innovation. We are an equal opportunity employer, and 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. Learn more about our culture, benefits, and people at https://www.caisgroup.com/our-company/careers.
CAIS' compensation package includes a market competitive salary, a performance bonus, and exceptional benefits. If you are located in New York, New York, the base salary range for this role is $125,000 - $160,000. Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, and specific office location.
CAIS offers a comprehensive benefits package that includes generously subsidized healthcare with 100% employer paid dental and vision insurance, an employer matched retirement plan, wellness programs, and generous PTO and parental leave. Additionally, CAIS offers a flexible, hybrid in-office model; for most roles, we do require a minimum of 3 days in office per week. For more information on our benefits and career opportunities, please visit our website: https://www.caisgroup.com/our-company/careers.
We use technology, including AI tools, to support parts of our recruitment process such as application screening, interview scheduling, and candidate communications. These tools are used to improve efficiency and consistency, but they do not replace human judgement. All hiring decisions are made by people, and we are committed to fair and unbiased assessment of every candidate.

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