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Senior II Site Reliability Engineer
Akamai Technologies, Inc.
Juneau, AK
- $146,400 to $263,600 USD / year
As a Senior II Site Reliability Engineer, you will be responsible for:
Added just now
AT
Site Reliability Engineer II
Akamai Technologies, Inc.
Juneau, AK
- $95,000 to $171,000 USD / year
As a Site Reliability Engineer II, you will be responsible for:
Added just now
AT
Senior II Site Reliability Engineer
Akamai Technologies, Inc.
Juneau, AK
- $146,400 to $263,600 USD / year
As a Senior Site Reliability Engineer, you will be responsible for:
Added just now
Solutions Architect - Nutanix Database Service
Nutanix
Juneau, AK
…this high-impact role, you will shape the future of enterprise data architectures - connecting modern database automation directly with enterprise AI data pipelines, hybrid cloud…
Added just now
Cybersecurity Engineer (Cloud)
Amentum
Juneau, AK
…government-cloud service limitations, tenant and security boundaries, data handling requirements, and controlled connectivity with commercial…
Added just now
Senior Data Engineer
Highmark Health
Juneau, AK
…design, development, and maintenance of the organization's data infrastructure, ensuring the efficient and reliable flow of data across various systems. This position is responsible for…
Added just now
Senior Cybersecurity Architect (Cloud)
Amentum
Juneau, AK
…enterprise copilot, and agentic systems, including secure access, data protection, identity, logging, content safety, and human-oversight controls. Evaluate AI services and integrations for…
Added just now
Engineer III, OverWatch Labs (Remote)
CrowdStrike
Juneau, AK
We are looking for an engineer to work on building and maintaining scalable data infrastructure/platforms and tools for our team. Someone with foundational knowledge in algorithms, software…
Added 2 mins ago
Supervisor, Construction Services/Supervisor, Construction Services Sr.
Montana-Dakota Utilities
Billings, MT
Must take all measures necessary to protect networks, devices, programs and data from cyber-attack, damage or unauthorized access.
Added 3 mins ago
J
Associate Machine Learning Engineer
Jobgether
Remote, United States
- $106,900 to $152,700 USD / year
…development and deployment of machine learning solutions that support data-driven decision-making and enhance digital products used by millions of users. You will work alongside experienced…
Added 4 mins ago
Forward Deployed Engineer – Enterprise AI Infrastructure (On-site SF)
Morgan Pinnacle Group
San Francisco · San Francisco, CA
Forward Deployed Engineer – Enterprise AI Infrastructure
Added 5 mins ago
Data Center Technician II
Google
Council Bluffs, IA
…similar role (e.g., Systems Administration, Network Deployment Engineer, Help Desk Technician,…
Added 10 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 13 mins ago
Society of Women Engineers Expression of Interest - Rotational Graduate Engineer
Worley
Charleston, WV · Houston, TX · Reading, PA · Denver, CO · Charleston · Houston · Reading · Denver
Exposure to industry tools, systems, or software relevant to your discipline (e.g., design, analysis, project controls, data, or planning tools).
Added 13 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 14 mins ago
Appraiser I
County of Alameda
Dublin, CA · Oakland, CA
A. Experience as an accountant-auditor, real property appraiser, building cost estimator, engineer, real estate loan agent, real estate loan underwriter, right-of-way agent, licensed…
Added 19 mins ago
AI Solutions Engineer
Baker Tilly Advisory Group, LP
Remote, United States
If so, consider joining Baker Tilly as an AI Solutions Engineer, where you’ll build intelligent, autonomous agentic solutions that streamline business processes, integrate with enterprise…
Added 21 mins ago
Medical Device Cybersecurity Engineer – BMET & Clinical Engineering
MaxIT Consulting - Max Corporate Group
New York · New York, NY
…vulnerability management, risk assessment, asset cybersecurity data, network segmentation, and healthcare regulatory…
Added 21 mins ago
Java Developer – Spring Boot Microservices, Kafka & Cloud
MaxIT Consulting - Max Corporate Group
New York · New York, NY
You will design, build and run enterprise applications on public cloud, turning business needs into reliable microservices, APIs and data pipelines that support banking operations.
Added 21 mins ago
Java Software Engineer / Backend Developer
MaxIT Consulting - Max Corporate Group
New York · New York, NY
You will design, build and run enterprise applications on public cloud, turning business needs into reliable microservices, APIs and data pipelines that support banking operations.
Added 29 mins ago
RO
Data & Analytics Engineer
Revelyst Operations LLC
Irvine, CA
- $100,000 to $120,000 USD / year
The data and analytics capabilities supporting Revelyst positioned in our Irvine, California office. This is a hands-on technical role responsible for developing and supporting data…
Added 33 mins ago
Solutions Lead, International Upmarket
Toast
Boston, MA
Engineer workarounds, and know when to hold the line. Design and document solutions to complex gaps, and judge when a workaround creates debt we'll pay for at go-live.
Added 37 mins ago
Data & Intergrations Engineer
Jobgether
Remote, United States
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data & Integrations Engineer based in the United States.
Added 37 mins ago
J
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 38 mins ago
Lead DevOps Engineer
London Stock Exchange Group Holdings Inc
St. Loui, MO
LSEG (London Stock Exchange Group) is more than a diversified global financial markets infrastructure and data business. We are dedicated, open-access partners with a commitment to…

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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