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Added 1 min ago
Senior Enterprise Engineer - Salesforce Platform (EAA - STP)
Coinbase
Helena, MT
The Enterprise Applications & Architecture (EAA) team within Platform is the primary engineering partner for the Sales, Trading, and Prime (STP) business, building and operating Salesforce…
Added 1 min ago
Senior Software Engineer, Stablecoins
Coinbase
Helena, MT
As a Senior Software Engineer on the Stablecoin team within the Developer group, you'll help build and scale Coinbase Custom Stablecoins (CCS), the platform that lets partners launch their…
Added 1 min ago
PN
Senior Databricks Engineer
Pacific Northwest National Laboratory
Helena, MT
- $133,100 USD / year
We are seeking an experienced Databricks Engineer to support the design, build, and operation of our enterprise data lakehouse that powers analytics and reporting across PNNL systems. This…
Added 1 min ago
Lead Information Security Engineer - Red Team
Lumen
Helena, MT
The Lead Information Security Engineer within Product and Platform Security provides technical leadership and hands-on execution across Red Team functions. This role leverages advanced…
Added 1 min ago
Software Engineer, CDP - Stablecoin
Coinbase
Helena, MT
…growth, and ecosystem expansion at Coinbase. As a Software Engineer, you'll help deliver a suite of international stablecoins by evaluating and integrating external partner APIs, building…
Added 1 min ago
AT
Senior II Site Reliability Engineer
Akamai Technologies, Inc.
Helena, MT
- $146,400 to $263,600 USD / year
In this role, you'll be at the forefront of Akamai Cloud platform software and hardware technologies. We're responsible for identifying performance bottlenecks and creating the supporting…
Added 1 min ago
AT
Senior II Site Reliability Engineer
Akamai Technologies, Inc.
Helena, MT
- $146,400 to $263,600 USD / year
…platforms. CLP focuses on Compute's Linux kernels, operating systems, KVM/QEMU virtualization layer, guest images, and working closely with HIVE's HW teams to ensure new hardware programs…
Added 1 min ago
Cybersecurity Engineer (Cloud)
Amentum
Helena, MT
Configure and test security policies, infrastructure-as-code controls, deployment automation, and supporting integrations in coordination with cloud platform and application owners.
Added 1 min ago
Senior Cybersecurity Architect (Cloud)
Amentum
Helena, MT
Engineer and administer cloud security posture management and workload protection capabilities, including environment onboarding, policy configuration, security recommendations, coverage,…
Added 1 min ago
Solutions Architect - Nutanix Database Service
Nutanix
Helena, MT
Experience: 5+ years of experience in a customer-facing pre-sales technical role (Solutions Architect, Systems Engineer, or Database Specialist Architect) within an enterprise software,…
Added 1 min ago
Engineer III, OverWatch Labs (Remote)
CrowdStrike
Helena, MT
We are looking for an engineer who wants to help move the OWL platform forward as we scale even further. Someone with a broad range of computer skills throughout the software stack and…
Added 9 mins ago
WI
Staff, Software Engineer - Full Stack
Walmart Inc.
Sunnyvale, CA
- $143,000 to $286,000 USD / year
Join Walmart Global Tech as a Staff Software Engineer and become the technical backbone of our cross-border commerce platform. In this role within our Growth Tech Marketplace organization,…
Added 12 mins ago
Senior Software Development Engineer in Test, ML
PlayStation Global
Madison, WI
PlayStation is seeking a Sr Software Development Engineer in Test, ML to join our Madison team and lead quality efforts for machine learning-powered products and services. You will partner…
Added 20 mins ago
Medical Device Cybersecurity Engineer – BMET & Clinical Engineering
MaxIT Consulting - Max Corporate Group
New York · New York, NY
Experience within hospital systems, Healthcare Technology Management organizations, clinical engineering departments, biomedical environments, or medical-device manufacturers will be…
Added 20 mins ago
Java Developer – Spring Boot Microservices, Kafka & Cloud
MaxIT Consulting - Max Corporate Group
New York · New York, NY
…for engineers who enjoy building cloud-native, event-driven systems with Java, Spring Boot, microservices and Kafka, and who already know the standards that financial services platforms…
Added 20 mins ago
Java Software Engineer / Backend Developer
MaxIT Consulting - Max Corporate Group
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…for engineers who enjoy building cloud-native, event-driven systems with Java, Spring Boot, microservices and Kafka, and who already know the standards that financial services platforms…
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Software Engineer TS/SCI CI Poly Required (Java/J2EE)
MaxIT Consulting - Max Corporate Group
Annapolis Junction · Annapolis Junction, MD
…Behavior-Driven Development and test automation, and every engineer contributes from requirements to…
Added 20 mins ago
Cleared Java Developer / Software Engineer
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Annapolis Junction · Annapolis Junction, MD
…Behavior-Driven Development and test automation, and every engineer contributes from requirements to…
Added 28 mins ago
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Data & Analytics Engineer
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Irvine, CA
- $100,000 to $120,000 USD / year
…and an interest in growing into broader data architecture and platform ownership…
Added 32 mins ago
Solutions Lead, International Upmarket
Toast
Boston, MA
…a 40-site group their own menu, their own workflows and the systems they already run, in their market's version of the product. Tailor it to each person in the buying group, from the head…
Added 35 mins ago
Data & Intergrations Engineer
Jobgether
Remote, United States
We are looking for a skilled Data & Integrations Engineer to strengthen enterprise data infrastructure and streamline connections across business systems. In this role, you will take…
Added 35 mins ago
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CRM Lead Engineer
Jobgether
Remote, United States
- $80,000 to $131,000 USD / year
We are seeking an experienced CRM Lead Engineer to provide hands-on technical leadership for an enterprise Salesforce CRM platform. In this role, you will lead and mentor a team of CRM…
Added 37 mins ago
Lead DevOps Engineer
London Stock Exchange Group Holdings Inc
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This Lead DevOps Engineer position is a key role within the SRC Team which sits within the Application Services Division having responsibilities to facilitate adoption of standard DevOps…
Added 49 mins ago
Full Stack Web Developer
Terranova
Berkeley, CA
Backed by leading climate and American dynamism investors, Terranova builds intelligent robotic systems to terraform the Earth itself - lifting land, restoring wetlands, and protecting…
Added 55 mins ago
Forward Deploy Engineer Guatemala
Breakmark
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Whether you’re already working with agentic AI or are an experienced software engineer ready to focus on it, this role offers the opportunity to take systems from initial discovery through…

Jobgether

Senior Data Platform Engineer

Remote, United States

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Job details

Posting language: English
Posted: Nov 3, 2026

Original job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Platform Engineer based in the United States.

Join a growing technology team building the data foundation behind an AI-powered platform serving thousands of boutique fitness businesses. As the first Data Platform Engineer, you will take ownership of the infrastructure that collects, organizes, governs, and delivers trusted data across products and internal teams. You will help make reporting faster and more reliable while ensuring that business metrics remain consistent, traceable, and secure. Working closely with Data, Analytics, and R&D teams, you will shape the architecture supporting customer insights, operational intelligence, and AI-powered experiences. You will also establish the foundations that allow employees and AI agents to access reliable information independently and responsibly. This is an opportunity to define a critical platform from the ground up and influence how data creates value across an expanding SaaS ecosystem.

Accountabilities

You will own the design, development, and continuous improvement of the data platform, ensuring that it delivers accurate, accessible, secure, and cost-effective information for both people and AI-driven applications.

Data Platform Reliability and Performance

• Build and maintain the data infrastructure supporting reporting and data-driven products used by more than 5,000 gyms.

• Ensure reporting data is fresh, accurate, and performant, enabling gym owners to make timely business decisions.

• Establish data lineage and traceability so that key business metrics, including executive and Board-level reporting, can be tracked back to their sources.

• Define and monitor data freshness, availability, and reliability standards.

• Participate in incident response, investigate root causes, and implement improvements to prevent recurring issues.

Data Integration and Architecture

• Integrate product, payment, and third-party data to create a comprehensive view of customer and member journeys.

• Partner with software engineering teams to ensure new features and integrations generate clean, structured, and reliable data from the outset.

• Establish data contracts and identify breaking changes before they reach production.

• Simplify data architecture by reducing unnecessary pipelines and tools, clarifying ownership, and improving cost visibility.

• Manage and optimize ingestion workflows, orchestration systems, and custom data pipelines.

Privacy, Security, and Governance

• Design and implement data access controls that define what employees and AI agents can access.

• Maintain comprehensive audit trails for data access and usage.

• Establish safeguards that prevent AI systems from modifying or bypassing critical security and governance controls.

• Implement processes for handling privacy requests, including data retention and deletion, without compromising financial reporting or audit requirements.

• Support compliance with applicable privacy and security frameworks.

AI-Ready Data Infrastructure

• Build the data foundations required by AI-powered assistants, customer intelligence features, and reporting tools.

• Provide AI applications with the context and reliable information needed to generate relevant, personalized insights.

• Develop clear, consistent business definitions and semantic layers so that metrics have the same meaning across dashboards, conversational interfaces, and executive reporting.

• Enable teams across the organization to answer their own questions through AI, with appropriate controls over access, usage, and costs.

• Explore retrieval, evaluation, and governed data-access approaches that make AI agents more reliable and useful.

Documentation and Continuous Improvement

• Develop and maintain technical documentation, operational runbooks, data quality checks, and monitoring alerts.

• Establish processes that make platform operations understandable and manageable by other team members.

• Share architectural decisions and technical tradeoffs clearly with engineering and business stakeholders.

Requirements

The ideal candidate is a hands-on data infrastructure engineer who has owned production systems end to end and can combine strong engineering fundamentals with a practical understanding of data governance, reliability, and AI-enabled workflows.

Technical Experience

• At least 5 years of experience in data engineering, data platform engineering, data infrastructure, or software engineering, with ownership of production infrastructure from design through operation.

• Experience working in a B2B SaaS or payments environment is preferred.

• Strong experience with cloud data warehouses, including performance optimization, cost management, access controls, role-based access control (RBAC), data masking, and schema design.

• Advanced proficiency in Python and SQL, supported by strong software engineering practices.

• Experience with automated testing, CI/CD, code reviews, and Infrastructure as Code tools such as Terraform.

• Hands-on experience deploying, maintaining, and operating workflow orchestration platforms such as Airflow or Dagster in production.

• Experience managing data ingestion tools such as Hevo or Fivetran, as well as building custom pipelines when managed solutions are insufficient.

• Practical experience with at least one of the following: change data capture (CDC), streaming, or event-driven architectures.

• Experience implementing data quality checks, monitoring, and alerting using tools such as Monte Carlo, Elementary, or custom-built solutions.

• Ability to create operational runbooks that enable others to investigate and resolve data issues.

• Daily use of AI tools, including at least one AI-powered workflow used by others and a validation mechanism to detect inaccurate outputs.

Additional Technical Knowledge

• Familiarity with real-time analytics databases such as ClickHouse and an understanding of when to use them instead of a traditional data warehouse.

• Knowledge of privacy and governance requirements under GDPR, CCPA, or PCI, including access management, auditing, retention, and deletion.

• Experience working with TypeScript codebases and collaborating with product engineers responsible for generating data.

• Interest or experience in data architecture for AI, including semantic layers, retrieval, evaluations, and governed access for AI agents.

• Understanding of data contracts and collaboration practices between data producers and platform teams.

• Familiarity with event platforms or customer data platforms such as Segment, RudderStack, Snowplow, or PostHog.

• Knowledge of identity resolution across product, billing, and CRM data.

Professional Skills

• Genuine curiosity about the customers and end users represented by the data.

• Strong problem-solving skills and the ability to investigate upstream causes of data inconsistencies.

• Clear communication skills, including the ability to explain technical tradeoffs in accessible terms.

• Pragmatic decision-making and the confidence to identify limitations, explain risks, and recommend when a solution is not yet ready.

• A proactive approach to continuous improvement, with an emphasis on documentation, monitoring, and operational reliability.

• Ability to work collaboratively across Data, Analytics, Product, and Engineering teams.

Benefits

• Equity Incentive Plan.

• Flexible paid time off and public holidays.

• Healthcare coverage, including medical, dental, and vision plans.

• Company-sponsored 401(k) retirement plan with employer match.

• Life insurance.

• Family leave, including maternity and paternity leave.

• Work-from-home stipend.

• Wellness stipend.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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