Jobs in the United States

25+ jobs

Added 19 mins ago
Senior Analyst, Compliance Technology
Coinbase
Helena, MT
We're hiring an Analytics Engineer to join the Compliance Technology team within the Platform organization. This team builds and operates data and detection capabilities that enable…
Added 19 mins ago
Core Senior .NET Software Engineer
Evolent
Helena, MT
The Senior Software Engineer leads the design, development, and deployment of complex software solutions, ensuring scalability and maintainability. This role architects and implements…
Added 19 mins ago
Software Engineer II - Marketplace Efficiency (Bidding)
Indeed
Helena, MT
In this role, you'll contribute to technical design decisions, participate in design and code reviews, and use data and analytics to inform your work. You'll regularly collaborate beyond…
Added 19 mins ago
Platform Engineer - Remote
SitusAMC
Helena, MT
Added 19 mins ago
Mainframe Technical Engineer
Highmark Health
Helena, MT
Collaborate with stakeholders across IT, product, analytics, and business teams to gather requirements and provide technical solutions that meet organizational needs
Added 24 mins ago
PN
Senior Software Engineer III
Pacific Northwest National Laboratory
Richland, WA · Seattle, WA
- $133,100 USD / year
The AI and Data Analytics Division, part of the National Security Directorate, combines profound domain expertise and creative integration of advanced hardware and software to deliver…
Added 24 mins ago
PN
Lead Software Engineer IV
Pacific Northwest National Laboratory
Richland, WA · Seattle, WA
- $161,300 USD / year
The AI and Data Analytics Division, part of the National Security Directorate, combines profound domain expertise and creative integration of advanced hardware and software to deliver…
Added 24 mins ago
PN
Early Career Software Engineer
Pacific Northwest National Laboratory
Richland, WA
- $83,100 USD / year
The AI and Data Analytics Division, part of the National Security Directorate, combines profound domain expertise and creative integration of advanced hardware and software to deliver…
Added 24 mins ago
PN
Software Engineer II
Pacific Northwest National Laboratory
Richland, WA · Seattle, WA
- $109,000 USD / year
The AI and Data Analytics Division, part of the National Security Directorate, combines profound domain expertise and creative integration of advanced hardware and software to deliver…
Added 59 mins ago
Product Analyst - Commercial Analytics
Bridgenext
CA-Irvine
At Bridgenext, we engineer Growth Operating Systems. Most enterprises have spent millions on their revenue stack and still aren't seeing the growth they expected.They have tools that…
Added 1 hour ago
Sr TPM, Fwd Deployed Engineer , Business Innovation and AI
Amazon
Nashville, TN
…Bachelor's degree or above in computer science, engineering, analytics, mathematics, statistics, IT or…
Added 1 hour ago
TPM, Fwd Deployed Engineer, Business Innovation and AI
Amazon
Nashville, TN
Data or analytics experience (SQL, pipelines, connecting source data to a customer need)
Added 1 hour ago
Software Engineer – Release Management
Cisco Systems, Inc.
RTP, NC
We are seeking a motivated Engineer to join our Release team in Research Triangle Park (RTP), North Carolina, helping us improve software project infrastructure and product quality for…
Added 1 hour ago
AI/ML Engineer / Data Scientist
American Operations Corporation
Montgomery, AL
The AI/ML Engineer/Data Scientist works closely with Product Owners, Functional SMEs, Help Desk personnel, System Architects, DevSecOps personnel, and operational stakeholders to analyze…
Added 1 hour ago
Senior Data Engineer
Stellix
Foxborough, MA
We are seeking a Senior Data Engineer to join our growing Enterprise Data & Analytics team. Our mission is to empower every team across the organization with timely, trusted, and actionable…
Added 1 hour ago
Founding Tech Lead
Incompass
NY · New York, NY
Incompass Labs is looking for a Founding Tech Lead (Lead Software Engineer / Technical Lead / Senior Software Engineer) based in the NYC area to join our growing tech team and help scale a…
Added 1 hour ago
AI Engineer
Modern Relay
New York City, NY · San Francisco, CA
We’re looking for an AI Engineer to help build the data and model foundations that make Modern Relay’s platform reliable in production. You’ll work across data pipelines, model development,…
Added 1 hour ago
Senior Data Engineer
Ochsner Health
New Orleans, LA
The Senior Data Engineer is responsible for designing, developing, implementing, and optimizing enterprise‑grade solutions and architectures, while ensuring scalability, performance,…
Added 1 hour ago
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AI Platform Engineer
Harper
San Francisco, CA
- $140,000 to $230,000 USD / year
…$8M seed round, we're looking for an exceptional AI Platform Engineer who can architect and develop the core infrastructure that powers our entire AI…
Added 1 hour ago
H
AI Forward Deployed Engineer
Harper
San Francisco, CA
- $140,000 to $230,000 USD / year
…round, we're looking for an exceptional AI Forward Deployed Engineer who can rapidly solve business problems and deliver immediate value across growth, sales, operations, and customer…
Added 1 hour ago
AI Engineer - Voice
Harper
San Francisco, CA
Build conversation analytics tracking quality metrics, completion rates, and customer satisfaction
Added 2 hours ago
Software Engineer Sr. Manager | Marketing Technology (Remote)
The Home Depot
Remote, United States
Partners closely with Enterprise Data & Analytics team and Data Product teams to build capabilities with speed and scale in mind
Added 2 hours ago
Core Engineer - Data Systems (Multiple Levels)
Edgescale AI
Denver, CO
We’re looking for a Core Engineer focused on data systems to build the data and streaming foundations that make our edge platform reliable, observable, and repeatable.
Added 2 hours ago
Data Engineer(UNPAID)
Holiday World
Remote, United States
We are seeking a Data Engineer to help build and optimize Holiday World’s data infrastructure. You will
Added 2 hours ago
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Data Engineer
Tono Health
Brooklyn, NY
- $140,000 to $190,000 USD / year
Working with engineers on schema changes and backfills so analytics doesn't break when the product moves

Core Engineer - Data Systems (Multiple Levels)

Denver, CO, United States

This role may be filled at the Senior or Staff level, with a base salary range of $130,000–$155,000 (Senior) or $160,000–$185,000 (Staff).

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Job details

Pay: This role may be filled at the Senior or Staff level, with a base salary range of $130,000–$155,000 (Senior) or $160,000–$185,000 (Staff).
Posting language: English

Original job description

The Opportunity We’re looking for a Core Engineer focused on data systems to build the data and streaming foundations that make our edge platform reliable, observable, and repeatable. You’ll own core platform capabilities for ingesting, contextualizing, and serving customer data across OT/IT environments, and you’ll also build and support internal data systems that power Edgescale AI operations (observability, alerting, inventory, configuration, fleet state, and deployment telemetry). This role defines and enforces data contracts and integration standards, and can stop data flows that are not ready for production. You’ll ensure data is accurate and traceable, so data used by AI and operations can be trusted. You’ll partner with software, infrastructure, security, and commercial teams to translate requirements and feedback into durable platform capabilities that scale. This work is AI-native: you’ll use AI to speed up development and troubleshooting while keeping all production data paths reviewed and auditable. This is a hands-on role for someone who thrives in a high-ownership setting and wants to build the infrastructure that makes real-world AI possible. What You’ll Do

Own core capabilities for ingesting, contextualizing, and serving data across edge and hybrid environments.
Build and evolve connectors and integration patterns across OT/IoT protocols and enterprise systems, with strong reliability and observability.
Implement and operate real-time streaming and event-driven data flows for low-latency use cases with clear failure modes.
Define and enforce data contracts, schemas, and integration standards so producers and consumers operate predictably, and stop data flows that are not production-ready.
Ensure data accuracy and traceability end-to-end, including lineage, auditability, and validation mechanisms so AI and operational systems can trust the data.
Build and support internal data systems for platform operations, including observability pipelines, alerting, inventory/configuration databases, and fleet telemetry.
Design scalable query and access patterns that support analytics and AI, including federated query and time-series access patterns.
Partner with customer-facing teams for requirements and feedback, then translate learnings into durable platform capabilities that scale.
Maintain crisp engineering documentation and reusable artifacts, using AI tools to accelerate implementation, debugging, and iteration loops, then refining with engineering judgment and rigorous review for production paths.

What Success Looks Like

In your first 3 months, you will have:

Shipped a critical data system (customer-facing or internal) that delivers measurable improvements in reliability, latency, observability, or integration speed.
Established clear data contracts and validation mechanisms for at least one production-critical data flow, improving trust, traceability, and operational confidence.
Earned trust through autonomy and execution - becoming the go-to owner for a meaningful slice of the data platform and internal telemetry systems.

In your first year, you will be:

Owning major components of the data platform and internal data systems end-to-end with clear accountability for production outcomes and platform reliability.
Driving improvements that materially compress adoption cycles by making integrations faster, safer, and more repeatable across deployments.
Shaping platform direction through scalable patterns across connectors, streaming, semantics, governance, and observability that unlock new AI and operational use cases.

Who You Are

6+ years building and operating production data systems, streaming systems, or integration platforms across complex environments.
Experience operating real-time pipelines with strong reliability practices (e.g., Kafka-style event systems, robust observability/alerting, on-call readiness, incident response, and clear failure modes).
Strong engineering craft: clean implementations, thoughtful designs, operational clarity, and strong documentation (e.g., Python and/or Go, APIs for ingestion/access, and structured testing).
Comfort working in ambiguity and making sound trade-offs under real constraints (latency, bandwidth, security, deployment timelines, and operational risk).
Clear communicator and strong collaborator across engineering and customer-facing teams, with the ability to define standards and enforce production discipline.
Ownership mindset: outcomes over tasks.

Unique Experiences We Value

Production experience with streaming and event-driven systems (e.g., Kafka) and operating them reliably under real-world constraints.
Experience with federated query systems and large-scale analytics access patterns (e.g., Trino) and designing access patterns that support both operational use and AI workflows.
Building data integration for OT/IoT environments, including protocols such as MQTT, OPC UA, Modbus, and DNP3, and handling schema drift, data quality, and connectivity variability.
Experience building trusted data systems with contracts, validation, and lineage (e.g., schema enforcement, traceability, auditability, and mechanisms to block unsafe production data paths).
Partnering with customer-facing teams to turn messy integrations and requirements into repeatable platform capabilities, while keeping production systems reviewed, auditable, and operationally sound.

Benefits

We work in a high-ownership, real-world startup environment where you’ll move fast, build new systems, and see your impact immediately - what you ship runs in the field and drives measurable customer outcomes.
We work alongside AI every day. Writing static code, docs, or plans “by hand” is no longer accepted - here you’ll use the latest AI tools to iterate and ship faster and to apply AI with our customers at scale.
You’ll take on elite technical challenges at the frontier of infrastructure, including next-generation cloud and IoT, hardware/software/networking in real-world edge environments, the foundation for data and AI inference, and industry-leading secure systems in demanding operational (OT) settings.
You’ll learn fast by working with exceptional teammates and collaborating directly with industry leaders as partners in software, AI, and infrastructure.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. This role may be filled at the Senior or Staff level, with a base salary range of $130,000–$155,000 (Senior) or $160,000–$185,000 (Staff).
Total compensation for this role includes equity in your work. You are eligible for meaningful equity through stock options in an early-stage, high-growth company.
You are eligible to participate in company benefit plans, which may include health, dental, and vision coverage, a 401(k) with company match, flexible PTO, paid parental leave, commuter benefits, and relocation and visa support for eligible roles.

Edgescale AI At Edgescale AI, we’re deploying AI in the real world - helping customers apply this technology to unlock transformative productivity gains. Our work sits at the intersection of infrastructure, security, networking, and AI, where reliability and performance are non-negotiable and where solutions demand deep, distributed systems thinking. We’re intensely AI-native. We build with AI, we ship AI, and we use it every day to accelerate how we design, test, deploy, and operate complex systems. If you want to help pave the application of AI in the real world, at global scale, we want to hear from you. Edgescale AI is building an inclusive, merit-based organization. We are an equal opportunity employer and do not discriminate on any legally protected status. We value diversity, inclusion, and a shared passion for creating real-world impact.

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