Jobs in the United States

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Instrumentation Sales Engineer
Honeywell Technologies
Houston, TX
YOU MUST HAVE
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Mechanical Design Sales Engineer
Honeywell Technologies
Houston, TX
YOU MUST HAVE
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Marine - Mechanical Integration Engineer
Caterpillar, Inc.
Houston, TX
As a Marine Mechanical Systems Integration Engineer , you will be responsible for the physical configuration, mechanical design, and system-level integration of Cat Marine mechanical…
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Process Sales Engineer
Honeywell Technologies
Houston, TX
YOU MUST HAVE
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Senior Director Software Engineering
Capital One
Austin, TX
Expertise in the strategic application of agentic AI coding tools to solve systemic development challenges
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Software Engineer (IBM Cognos)
Highmark Health
Austin, TX
This job is an integral member of an agile software engineer team responsible for building complex scalable software applications across all digital channels to serve our customers. The…
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Lead Director - Security Operations Center (SOC)
CVS Health
Austin, TX
Provide mentorship, coaching, and career development opportunities to strengthen team capability and succession depth.
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Robotics Systems Field Engineer , RIVR
Amazon
Austin, TX
As a Robotics Field Engineer at Amazon RIVR, you will be the critical link between our advanced robotics technology and real-world deployment. You will serve as Tier 2 technical support,…
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Senior Software Development Engineer, Frontier AI Tools
Amazon
Austin, TX
…and deliver them at scale? We are looking for a Sr. Software Development Engineer to build the solutions that span across Proserve, Frontier AI and services teams within AWS Sales,…
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AI Engineer
UNIVERSITY OF TEXAS AT AUSTIN
Austin, TX
…operational solutions.Coordinates integration with APIs and application workflows.Participates in code reviews and design sessions.Automation of Retraining and DeploymentDesigns and…
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Java Engineer
Charles Schwab
Austin, TX
The Enhanced Client Verification Team is seeking a Manager, Software Development and Engineering to lead the development and support of scalable, reliable, and secure Java-based web…
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Software Development Engineer II, AVMS, AVMS
Amazon
Austin, TX
1+ years of software development engineer or related occupational experience
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Sr. Fire Protection Engineer, Design Quality Assurance (DQA)
Amazon
Austin, TX
As a Sr. Fire Protection Engineer you are a technical leader in your field, collaborating with and leading the work of cross-functional teams including technical program management, product…
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Technical Engineer
Highmark Health
Austin, TX
5 years of experience with technology platforms, application development tools, business processes, software development life cycle used by our enterprise
Added 1 min ago
RRC - Engineering Specialist IV - Engineering Unit
RAILROAD COMMISSION OF TEXAS
Austin, TX
Added 1 min ago
Google Cloud Sales Specialist
NTT America, Inc.
Austin, TX
Originate & Close Landmark Pursuits: Carry direct quota accountability, owning the sales lifecycle from thesis development to commercial negotiation for complex Google Cloud, Data, and…
Added 1 min ago
AI Engineer – Agentic AI & Applied Generative AI- Senior Associate
PwC
San Antonio, TX · Dallas, TX · Fort Worth, TX · Houston, TX · Austin, TX
What You Must Have
Added 1 min ago
Manager Knowledge Based Engineering - Supply Chain
Deloitte
Austin, TX · Houston, TX · Dallas, TX
…Supply Chain Responsiveness, Sourcing & Procurement, or Product Development &…
Added 1 min ago
Reverse Engineer - Android
Trellix
Austin, TX
We require a minimum of 3 - 5+ years of expertise in one or more of the following: Android Development, Reverse Engineering, Pentesting, Application Security Assessments, Capture the Flag…
Added 1 min ago
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Senior Full Stack Engineer
Eliassen Group
Westlake, TX
- $70 to $88 USD / hour
Strong knowledge of application development with microservice architectures.
Added 1 min ago
EG
Forward Deployed AI/ML Engineer IV
Eliassen Group
Austin, TX
- $170,000 to $190,000 USD / year
As a Forward Deployed Engineer, AI/ML, you will join our client's AI and Data Engineering (AIDE) team and embed directly with utility clients to understand their hardest operational…
Added 15 mins ago
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Staff/Senior Analytics Engineer, Data Science & Analytics (DSA)
Jobgether
Remote, United States
- $130,000 to $165,000 USD / year
…steps. Our partner is looking for a Staff/Senior Analytics Engineer, Data Science & Analytics (DSA) based in the United…
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Senior Embedded Computer Vision Engineer
Jobgether
Remote, United States
- $155,000 to $180,000 USD / year
We are looking for an experienced Embedded Computer Vision Engineer to develop and optimize high-performance vision systems for next-generation products. In this senior engineering role,…
Added 15 mins ago
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CI/CD Engineer
Jobgether
Remote, United States
- $115,000 to $165,000 USD / year
We are seeking an experienced CI/CD Engineer to support the design, development, and delivery of reliable enterprise software applications and services. In this full-time role, you will…
Added 15 mins ago
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Atlassian Solutions Engineer
Jobgether
Remote, United States
- $115,000 to $165,000 USD / year
This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for an Atlassian Solutions Engineer based in the United States.

Jobgether

Staff/Senior Analytics Engineer, Data Science & Analytics (DSA)

Remote, United States

$130,000 to $165,000 USD / year

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Job details

Pay: $130,000 to $165,000 USD / year
Experience: At least 5 years of experience in analytics engineering or a closely related field, with a proven track record of delivering and maintaining production-ready data features.
Posting language: English

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 Staff/Senior Analytics Engineer, Data Science & Analytics (DSA) based in the United States.

We are seeking an experienced Analytics Engineer to take ownership of production-grade data pipelines, from initial design to deployment and ongoing optimization. In this engineering-focused role, you will transform complex retail data into reliable analytical models, actionable insights, and user-facing data products. You will collaborate closely with Product, Engineering, and Data Science teams to deliver scalable solutions that support smarter retail operations. You will play a key role in building structured data marts that enable self-service analytics and AI-powered insights. The position offers significant autonomy, technical ownership, and the opportunity to influence data engineering standards across the organization. Working with large-scale datasets and cutting-edge AI technologies, you will help turn billions of retail observations into meaningful business outcomes. The level (Senior or Staff) will be determined based on your experience, technical expertise, and interview performance.

Accountabilities:

Design, build, own, and maintain reliable, production-grade analytics pipelines, ensuring robust monitoring, alerting, and continuous improvement.
Transform raw data into structured analytical models using dbt and Kimball dimensional modeling principles.
Manage the complete lifecycle of analytics features, from scoping and technical design through development, deployment, and maintenance.
Drive cross-functional projects by proactively identifying blockers, coordinating stakeholders, communicating technical trade-offs, and ensuring timely delivery with minimal supervision.
Leverage AI technologies, including large language models (LLMs), AI agents, and coding assistants, to improve the efficiency, quality, and speed of analytical development.
Translate retail operational data, including inventory levels, on-shelf availability, and task execution signals, into actionable insights that support internal decision-making and client business objectives.
Establish and promote best practices for data quality, reproducibility, documentation, testing, and code quality across analytics and data science workflows.
Contribute to the development and prototyping of conversational data experiences, including AI-powered agents and chatbot interfaces that allow users to explore and query data through natural language.

Requirements:

At least 5 years of experience in analytics engineering or a closely related field, with a proven track record of delivering and maintaining production-ready data features.
Strong hands-on experience with dbt, including developing data transformation models, implementing tests, and maintaining technical documentation.
Solid understanding of Kimball dimensional modeling and best practices for building scalable analytical data structures.
Advanced SQL skills and experience working with large-scale cloud data platforms, preferably Google Cloud Platform (GCP) and BigQuery.
Demonstrated ability to manage the full lifecycle of analytics solutions, including project scoping, development, deployment, and ongoing maintenance.
Strong cross-functional collaboration skills, with experience working alongside Engineering, Product, Data Science, or Commercial teams and effectively communicating technical decisions and trade-offs.
Previous experience in the retail industry is strongly preferred, particularly in store operations, inventory management, merchandising, or supply chain.
Practical experience using AI tools, including LLM APIs, coding assistants, and prompt engineering, to accelerate analytical and engineering workflows.
Strong ownership mentality, autonomy, problem-solving abilities, and the capacity to move complex projects forward in a fast-paced environment.
Excellent communication skills and the ability to translate complex technical concepts and data insights into clear, actionable information.

Preferred qualifications:

Familiarity with data pipeline orchestration tools such as Airflow or equivalent technologies.
Experience with data and model monitoring, CI/CD practices, and automated testing for analytical workflows.
Knowledge of data visualization platforms such as Looker, Tableau, or similar tools to communicate insights effectively to non-technical stakeholders.
Experience designing or prototyping AI-powered conversational interfaces for data exploration and analysis.

Benefits:

Annual base salary: $130,000–$165,000, depending on geographic market, relevant experience, technical expertise, and other objective business considerations.
Equity compensation: Opportunity to participate in the company's ownership through equity, subject to applicable eligibility and compensation arrangements.
Comprehensive benefits package: Access to a range of medical, financial, and other employee benefits.
Total rewards approach: Compensation considers base salary, potential equity, incentives, and well-being support.
Remote flexibility: Opportunity to work remotely, with the role also open to candidates in the San Francisco Bay Area.
Meaningful ownership: Take responsibility for production systems and features that directly influence retail operations and business performance.
High-impact environment: Work in a focused team where contributions are visible and technical expertise is valued.
Large-scale data challenges: Work with extensive retail datasets covering thousands of stores and billions of shelf observations.
Innovation-driven environment: Gain exposure to advanced AI, robotics, and data technologies shaping the future of retail.
Collaborative culture: Join a team that values transparency, empathy, agility, innovation, accountability, and customer-focused results.
Professional growth: Enjoy opportunities to influence technical standards, drive strategic initiatives, and expand your expertise in analytics engineering and AI.

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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Jobs in the United States