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Data Systems Agent Jobs (NOW HIRING)

Flourish Ventures

Data Systems Engineer

Washington, DC · On-site

We are hiring a Data Systems Engineer to own the technical architecture and delivery of our data ... AI agent orchestration & workflow automationActively using LLMs, AI agents, and orchestration ...

Permute AI, Inc

Senior Data Engineer

Chicago, IL · On-site

$180K - $280K/yr

Build data platforms that support LLM systems, agent workflows, and model evaluation * Develop tooling for data quality, validation, monitoring, and observability * Collaborate with engineering ...

Sbdinc

EHS Data Systems Analyst

Valley City, OH · Hybrid

$77K - $124K/yr

EHS Data Systems Analyst - Hybrid Charlotte, NC USA Towson, MD USA New Britain, CT USA Valley City ... Strategic mindset and global vision - a self-starter and change agent who builds strong cross ...

Sbdinc

EHS Data Systems Analyst

Towson, MD · Hybrid

$77K - $124K/yr

EHS Data Systems Analyst - Hybrid Charlotte, NC USA Towson, MD USA New Britain, CT USA Valley City ... Strategic mindset and global vision - a self-starter and change agent who builds strong cross ...

Sbdinc

EHS Data Systems Analyst

New Britain, CT · Hybrid

$77K - $124K/yr

EHS Data Systems Analyst - Hybrid Charlotte, NC USA Towson, MD USA New Britain, CT USA Valley City ... Strategic mindset and global vision - a self-starter and change agent who builds strong cross ...

Sbdinc

EHS Data Systems Analyst

Charlotte, NC · Hybrid

$77K - $124K/yr

EHS Data Systems Analyst - Hybrid Charlotte, NC USA Towson, MD USA New Britain, CT USA Valley City ... Strategic mindset and global vision - a self-starter and change agent who builds strong cross ...

Fabrion

Founding Engineer

San Francisco, CA · On-site

$152K/yr

... in data systems, agent workflows, or LLM orchestration Company : Fabrion is an AI-native platform purpose-built for the new industrial era Founded in 2025, the company is headquartered in San ...

Fabrion

Founding Engineer

Bodega Bay, CA · On-site

Interest in data systems, agent workflows, or LLM orchestration Why Join * True ownership -- early equity and influence over product and technical direction * Mission-driven team solving complex data ...

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All JobsData Systems Agent Jobs

Data Systems Agent information

See salary details

$31.5K

$72.5K

$135K

How much do data systems agent jobs pay per year?

As of Sep 10, 2026, the average yearly pay for data systems agent in the United States is $72,507.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,500.00 and $81,000.00 per year, depending on experience, location, and employer.

What is the difference between Data Systems Agent vs Data Analyst?

AspectData Systems AgentData Analyst
CredentialsTypically requires certifications in database management, IT, or related fieldsOften requires degrees or certifications in data analysis, statistics, or related areas
Work EnvironmentPrimarily in IT departments, managing databases and data infrastructureIn offices or remote, analyzing data to generate reports and insights
Employer & IndustryUsed in tech, finance, healthcare, and industries with heavy data infrastructureCommon across business, marketing, finance, and research sectors

The Data Systems Agent focuses on maintaining and managing data infrastructure and systems, while the Data Analyst interprets data to provide insights. Both roles require technical skills, but their primary functions and work environments differ.

What cities are hiring for Data Systems Agent jobs?

Cities with the most Data Systems Agent job openings:

What states have the most Data Systems Agent jobs?

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

What are popular job titles related to Data Systems Agent jobs?

For Data Systems Agent jobs, the most frequently searched job titles are:

Infographic showing various Data Systems Agent job openings in the United States as of August 2026, with employment types broken down into 85% Full Time, 9% Part Time, 5% Contract, and 1% Nights. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $72,507 per year, or $34.9 per hour.

Data Systems Engineer

Washington, DC • On-site

Flourish Ventures
11 - 50 employees
Learn more about Flourish Venturesexternal

Other

Posted 9 days ago

Key responsibilities

  • Own the technical architecture and delivery of Bluprynt's compliance data platform.

  • Write code daily, design systems, and ship product while translating complex regulatory and product requirements into engineering solutions.

  • Design and build data ingestion pipelines, APIs, and system components to support multi-source data processing and compliance functionalities.

Job description

ALL ROLES
Programmable Compliance Infrastructure for Tokenized Asset Markets
Data Systems Engineer

Own the technical architecture and delivery of Bluprynt's compliance data platform. Hands-on. Ship product daily.

Remote · EST hoursFull-TimeReports to CEO / Founder
APPLY FOR THIS ROLE
THE OPPORTUNITY
Building the compliance data platform for tokenized assets

Bluprynt is the Compliance OS for digital assets—the enterprise-grade infrastructure layer linking off-chain compliance with on-chain identity, policy, and supervisory visibility. Trusted by leaders across TradFi and DeFi and built in close alignment with central banks and regulators worldwide, Bluprynt helps issuers, banks, and market participants meet regulatory expectations without sacrificing the speed and modularity of on-chain systems.

The company completed the EU's first MiCA pilot, launched Know Your Issuer (KYI) with Paxos and Circle, partnered with Chainlink on automated on-chain compliance enforcement, and closed an oversubscribed $4.25M Seed round in 2026.

We are hiring a Data Systems Engineer to own the technical architecture and delivery of our data platform. This is a hands-on role. You will write code daily, design systems, and ship product—while translating complex regulatory and product requirements into clean, scalable engineering solutions. Strong English communication skills and the ability to work core EST hours are required.

WHAT WE ARE LOOKING FOR
The bar
Must-Have: Technical Foundation
  • Python (primary) and TypeScript / Node.jsExceptional Python engineering for data-intensive systems; Node.js/TypeScript for backend services, async patterns, and API design at scale.
  • PostgreSQL schema designRelational modeling for multi-tenant compliance data, indexing strategy, migration workflows.
  • API integration architectureDesigning polling, webhook, and event-driven pipelines across multiple external providers (think: RWA.xyz, TRM Labs, CipherOwl, Chainlink, GLEIF).
  • Multi-source data ingestion & pipeline architectureDesigning and building ETL/ELT architectures that ingest from multiple heterogeneous sources (APIs, databases, documents, on-chain feeds), process both structured and unstructured data, and execute customizable computation logic with scheduling, retries, and observability.
  • Schema design for structured vocabulariesVersioned taxonomies, controlled vocabularies, or ontology-like systems with cross-reference resolution.
Must-Have: Blockchain & Web3
  • Smart contract interactionReading and writing to on-chain registries, understanding gas mechanics, transaction lifecycle, and multi-chain deployment patterns.
  • On-chain registry designCredential issuance/revocation, attestation hash anchoring, IPFS metadata storage.
Must-Have: Leadership
  • Managing external or embedded engineering teamsInfluence without direct authority, expectation setting, code review culture, knowledge transfer.
  • Product-to-engineering translation & technical roadmap ownershipExceptional ability to decompose ambiguous product requirements into precise, phased engineering specifications; scope negotiation, dependency mapping, and shipping increments with clarity.
  • Startup velocityComfort with ambiguity, bias toward shipping V1 with known limitations, iterating in production.
Must-Have: AI Literacy & Automation
  • AI agent orchestration & workflow automationActively using LLMs, AI agents, and orchestration frameworks (e.g. LangChain, LangGraph, CrewAI, or similar) to build faster with equal or better quality; must be able to design and deploy multi-agent workflows as a core part of the development process.
  • AI-assisted testing & quality automationLeveraging AI tools to automate test generation, validation pipelines, and data quality checks; comfort using AI to accelerate development cycles without sacrificing reliability.
Strong-to-Have
  • Regulatory or compliance technology experience (KYC/AML, regulatory reporting, credential/certification systems).
  • LLM integration for structured data extraction, taxonomy suggestion, confidence-scored classification, and RAG or retrieval-augmented systems for domain-specific knowledge bases.
  • Multi-chain experience beyond EVM (Solana, Aptos, Stellar, Avalanche).
  • RAG or retrieval-augmented systems for domain-specific knowledge bases.
  • Experience with institutional custody platforms (Fireblocks, BitGo) or MPC/multi-sig architectures.
  • AWS infrastructure (ECS/EKS, RDS, Lambda, SQS) and infrastructure-as-code.
OUR STACK
What you'll work with
CURRENT

TypeScript, Node.js, PostgreSQL, Heroku (migrating), multiple on-chain adapters (Solana SAS, EAS, Base, Plume, Sepolia, Aptos, Avalanche, Stellar).

TARGET

AWS (ECS/EKS), PostgreSQL, Redis, Chainlink ACE integration, 3rd-party form builder integration.

You will have significant influence over architectural decisions as we transition from the current stack to the target architecture.

WHAT WE OFFER
The offer
  • Ground-floor equity in a company building critical infrastructure for a multi-trillion-dollar market transition.
  • Direct impact: your architectural decisions become the system that regulators, issuers, and exchanges depend on.
  • A founder who has already mapped the compliance domain in depth—you are not figuring out the product alone.
  • Autonomy to shape the engineering org, stack, and culture from the earliest stage.
  • Competitive salary commensurate with experience (discuss in initial screen).
CLOSING THOUGHT

Bluprynt is building the compliance metadata foundation that makes credentials trustworthy. Credentials are the enforcement layer. Compliance metadata is the evidence layer. We link the two.

Ready to apply?

Send your resume and a brief note on what excites you about this problem to jobs@bluprynt.com.

APPLY FOR THIS ROLE
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