Jobs in the United States

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Added 9 mins ago
Software Test Engineer
WCG Clinical
Columbia, SC
The Software Test Engineer is a member of the Quality Engineering team, responsible for supporting the testing, validation and delivery of WCG namedproducts and systems.The role applies…
Added 39 mins ago
AC
Ping SSO Engineer w. AI
AMERICAN CYBERSYSTEM
Denver, CO
- $65 to $70 USD / hour
A client of Innova Solutions is immediately hiring for a Ping SSO Engineer.
Added 43 mins ago
Senior Software Engineer, AI/ML, Geo and Gemini App
Google
New York, NY
…mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as…
Added 1 hour ago
Cloud Engineer III, Exposure Management (Hybrid, Sunnyvale)
CrowdStrike, Inc.
Sunnyvale, CA
…rule-based systems have only partially addressed. We're treating agentic reasoning as a core architectural element rather than a feature layered onto an existing system, which means real…
Added 2 hours ago
Solutions 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 Solutions Engineer based in United States.
Added 2 hours ago
J
Senior Software Engineer (Palantir Foundry)
Jobgether
Remote, United States
- $143,824 to $179,780 USD / year
…and next steps. Our partner is looking for a Senior Software Engineer (Palantir Foundry) based in the United…
Added 2 hours ago
Principal Engineer, Agentic AI
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 Principal Engineer, Agentic AI based in the United States .
Added 2 hours ago
Software Engineer (Multiple openings) in Irving, TX.
U.S. Bank
Irving, TX
U.S. Bank is seeking a full-time Software Engineer (Multiple openings) in Irving, TX.
Added 3 hours ago
Senior Software Engineer, Windows Desktop App, DeepMind
DeepMind
Mountain View, CA · New York, NY
…measuring the intelligence of our prototypes. As a Software Engineer, you will be working with the cutting edge AI agents developed by our exceptional team of Machine Learning and…
Added 3 hours ago
Consultant, Software Engineer - Platform Engineering
Nationwide Life and Annuity Insurance Co
OH · AZ · IA
The ideal candidate will have experience designing, building, and operating enterprise AI platforms and agentic systems utilizing:
Added 3 hours ago
Software Engineer III, Infrastructure, Google Cloud Platforms
Google
Sunnyvale, CA · Kirkland, WA · New York, NY · Seattle, WA · Madison, WI
2 years of experience building infrastructure for Agentic AI.
Added 4 hours ago
Software Test Engineer
WCG Clinical
Pierre, SD
The Software Test Engineer is a member of the Quality Engineering team, responsible for supporting the testing, validation and delivery of WCG namedproducts and systems.The role applies…
Added 5 hours ago
Senior Software Engineer – AI, Tax and Audit, FDE
Thomson Reuters (Tax & Accounting) Inc
Brooklyn, NY · Frisco, TX · Ann Arbor, MI · Eagan, MN
…deliver better outcomes for their clients. As a Senior Software Engineer, you will combine Python, backend engineering, large language models (LLMs), and client-facing delivery to turn…
Added 5 hours ago
SW Engineer Intern, AI Engineering
Roku
San Jose, CA
Join Roku as an Engineering Intern and help build the agentic AI powering America’s #1 TV streaming platform. Roku reaches more than 100 million households worldwide, and we’re building…
Added 5 hours ago
Forward Deployed Engineer, Agentic AI
Cprime
Remote, United States
Some of your work will support new business. You'll help prospective clients see the value of agentic AI through fast, focused proofs of value, and your contribution to winning new…
Added 6 hours ago
J
Software Engineer, Full Stack (People Innovation Labs)
Jobgether
Remote, United States
- $153,000 to $385,000 USD / year
…applications and next steps. Our partner is looking for a Software Engineer, Full Stack (People Innovation Labs) based in the United…
Added 6 hours ago
Senior Software Engineer II
Invoca
Remote, United States
We are looking for a Senior Software Engineer II who builds leverage for the team, not just executes within it. You likely have:
Added 6 hours ago
EU
Principal AI Engineer - Evinova
Evinova US LLC Company
Gaithersburg, MD
- $144,648.8 to $189,851.55 USD / year
As Principal AI Engineer, you'll design and implement sophisticated agentic AI systems that power next-generation life sciences solutions. Working at the intersection of AI research and…
Added 6 hours ago
Research Engineer - Agentic Audio ML Workflows
Bose Corporation, U.S.A
MA
…must run in real time, on physical devices. You will build agentic tools and automation that make our audio ML research dramatically faster and more reproducible. The focus is on…
Added 7 hours ago
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Principal AI Engineer - Evinova
AstraZeneca
Gaithersburg, MD · Gaithersburg
- $144,648.8 to $189,851.55 USD / year
As Principal AI Engineer, you'll design and implement sophisticated agentic AI systems that power next-generation life sciences solutions. Working at the intersection of AI research and…
Added 8 hours ago
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Campus Graduate Masters Summer Internship Program - 2027 AI Engineer, Enterprise Technology Services- Phoenix, AZ
American Express
Phoenix, AZ
- $24.05 to $63 USD / hour
At American Express, we empower future technologists to learn, innovate, and make an impact from day one. As an AI Engineer Intern in Enterprise Technology Services, you’ll join a 10-week…
Added 8 hours ago
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Campus Graduate Masters Summer Internship Program - 2027 Software Engineer, Enterprise Technology Services- Phoenix, AZ
American Express
Phoenix, AZ
- $24.05 to $63 USD / hour
At American Express, we empower future technologists to learn, innovate, and make an impact from day one. As a Software Engineer Intern, you’ll join a 10-week Summer Internship Program and…
Added 8 hours ago
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Campus Undergraduate Full-Time Engineer - 2027 AI Engineer I, Enterprise Technology Services- Phoenix, AZ
American Express
Phoenix, AZ
- $78,000 to $124,750 USD / year
- Full-time
At American Express, we empower technologists to learn, innovate, and make an impact from day one. As an AI Engineer I in Enterprise Technology Services, you’ll join a full-time graduate…
Added 8 hours ago
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Mid/Senior Full Stack AI Engineer
True Talent Solutions Partners
San Francisco, CA
- $180,000 to $250,000 USD / year
…chemical and industrial manufacturers. You will help deliver agentic workflows that connect business data and rules to practical commercial…
Added 8 hours ago
Forward Deployed Engineer
Armadin
Palo Alto, CA
As a Forward Deployed Engineer at Armadin, you'll embed with enterprise teams, deploy our agentic platform into their environment, and build whatever it takes to make it work for them.…

Baker Tilly Advisory Group, LP

Sr Data Engineer

United States

The national pay rate range is $185,000 –$230,000 In California: pay rate range is $185,000 –$230,000

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Job details

Pay: The national pay rate range is $185,000 –$230,000 In California: pay rate range is $185,000 –$230,000
Experience: 3 years of hands-on data engineering or software engineering experience, including demonstrated success developing, deploying, and maintaining production data pipelines.
Posting language: English
Posted: Oct 28, 2026

Original job description

Overview

Baker Tilly is a leading advisory, tax and assurance firm, providing clients with a genuine coast-to-coast and global advantage in major regions of the U.S. and in many of the world’s leading financial centers – New York, London, San Francisco, Los Angeles, Chicago and Boston. Baker Tilly Advisory Group, LP and Baker Tilly US, LLP (Baker Tilly) provide professional services through an alternative practice structure in accordance with the AICPA Code of Professional Conduct and applicable laws, regulations and professional standards. Baker Tilly US, LLP is a licensed independent CPA firm that provides attest services to its clients. Baker Tilly Advisory Group, LP and its subsidiary entities provide tax and business advisory services to their clients. Baker Tilly Advisory Group, LP and its subsidiary entities are not licensed CPA firms. Baker Tilly Advisory Group, LP and Baker Tilly US, LLP, trading as Baker Tilly, are independent members of Baker Tilly International, a worldwide network of independent accounting and business advisory firms in 141 territories, with 43,000 professionals and a combined worldwide revenue of $5.2 billion. Visit bakertilly.com or join the conversation on LinkedIn, Facebook and Instagram.

Please discuss the work location status with your Baker Tilly talent acquisition professional to understand the requirements for an opportunity you are exploring.

Baker Tilly is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability or protected veteran status, gender identity, sexual orientation, or any other legally protected basis, in accordance with applicable federal, state or local law.

Any unsolicited resumes submitted through our website or to Baker Tilly Advisory Group, LP, employee e-mail accounts are considered property of Baker Tilly Advisory Group, LP, and are not subject to payment of agency fees. In order to be an authorized recruitment agency ("search firm") for Baker Tilly Advisory Group, LP, there must be a formal written agreement in place and the agency must be invited, by Baker Tilly's Talent Attraction team, to submit candidates for review via our applicant tracking system.

Job Description:

Baker Tilly is seeking a Sr Data Engineer to join the founding team of the firm's AI Product Group (APG). This hands-on engineering role is responsible for building scalable, secure, and reliable data infrastructure that powers the firm's AI applications and intelligent agents. The position focuses on two critical areas: developing a governed data foundation that transforms enterprise information and client documents into high-quality, traceable data products, and building the knowledge layer that enables AI agents to retrieve, interpret, and use information accurately. This includes developing production data pipelines, implementing data models and governance controls, and supporting advanced capabilities such as knowledge graphs, enterprise search, and retrieval.

As an early member of the AI Product Group, this individual will collaborate closely with data platform leadership, AI engineers, enterprise architects, business practitioners, and globally distributed technical teams to deliver production-ready data solutions. The role emphasizes strong data engineering fundamentals, hands-on development, data quality, and evaluation-driven engineering practices. The ideal candidate brings demonstrated experience building and operating modern lakehouse pipelines, strong Python and SQL skills, and the ability to develop reliable, maintainable solutions in a fast-paced environment. Prior experience with AI, machine learning, or knowledge graphs is not required; success in this role depends on sound engineering judgment, analytical thinking, and the ability to learn and apply emerging technologies.

Key Responsibilities

Design and Build Data Pipelines: Develop, implement, and maintain scalable batch and incremental data pipelines that transform structured and unstructured information into clean, validated, business-ready datasets within a modern lakehouse environment.
Develop and Maintain Lakehouse Architecture: Build and optimize data processing and transformation layers using modern lakehouse principles, including medallion architecture, data modeling, and integration of enterprise and legacy data sources.
Ensure Data Quality, Lineage, and Provenance: Implement automated validation, reconciliation, lineage tracking, and metadata management to ensure data accuracy, consistency, traceability, and reliability throughout the data lifecycle.
Build Data Models and Identity Resolution Capabilities: Develop scalable data models, data contracts, and entity-resolution processes that establish consistent client, engagement, and document identities across enterprise data sources.
Implement Data Governance and Access Controls: Support data cataloging, classification, permissions, and access management to ensure sensitive information is appropriately governed and accessible only to authorized users and AI agents.
Develop Knowledge Graph and Retrieval Capabilities: Build and maintain knowledge graph structures, data relationships, search indexes, and retrieval pipelines that enable AI applications to access relevant, accurate, and properly governed enterprise information.
Support AI Data Readiness and Continuous Learning: Develop pipelines that capture AI agent activity, practitioner feedback, reviews, and corrections to support ground-truth datasets, AI evaluation, and ongoing improvements in data and retrieval quality.
Drive Evaluation-Based Data Engineering: Establish measurable quality standards, testing frameworks, benchmarks, and validation processes to assess data extraction, retrieval effectiveness, and grounding accuracy.
Maintain Data Freshness and Reliability: Implement incremental processing, change data capture, versioning, and monitoring capabilities to ensure data products, knowledge graphs, and search indexes remain accurate and current as source systems evolve.
Own Production Delivery and Operational Support: Deploy, monitor, troubleshoot, and maintain production data pipelines, applying strong engineering practices, automated testing, code reviews, and operational documentation.
Support Knowledge Transfer and Technical Ownership: Collaborate with external engineering partners to transition data solutions into internally owned, documented, and maintainable production environments, including the development of reusable code, tests, and runbooks.
Collaborate Across Global and Cross-Functional Teams: Partner with AI Engineering, Platform & Production Engineering, enterprise data teams, subject matter experts, and engineering teams in India to align technical solutions with enterprise standards and business objectives.
Support Strategic Initiatives: Participate in special projects and perform other duties as assigned to advance the firm's AI and data platform capabilities.

Qualifications

Bachelor's degree in Computer Science, Engineering, or a related field; advanced degree preferred.
3 years of hands-on data engineering or software engineering experience, including demonstrated success developing, deploying, and maintaining production data pipelines.
Required experience independently building and operating production pipelines on a modern lakehouse platform, with demonstrated ownership of data processing, transformation, and operational reliability.
Required experience implementing data quality, lineage, or data contracts within production pipelines, including automated testing, reconciliation, validation, or traceability practices.
Strong proficiency in Python and SQL, with demonstrated ability to develop, optimize, test, and maintain production-quality data engineering solutions.
Strong understanding of data modeling principles, including the ability to design scalable, maintainable data structures that accommodate evolving business requirements and source systems.
Experience designing and developing batch and incremental data pipelines for structured and unstructured enterprise data.
Strong software engineering fundamentals, including version control, automated testing, code reviews, debugging, and development of reliable, repeatable data processing workflows.
Demonstrated ability to validate technical solutions through measurable outcomes, including automated tests, benchmarks, experiments, performance metrics, or comparative evaluations.
Experience with modern lakehouse technologies such as Databricks, Apache Spark, Delta Lake, or medallion architecture strongly preferred.
Experience with cloud-based data platforms, preferably Microsoft Azure, and associated data storage, processing, and integration services preferred.
Familiarity with enterprise data governance capabilities, including data catalogs, classification, access controls, lineage, and technologies such as Unity Catalog or comparable solutions preferred.
Experience with knowledge graphs, graph databases, graph data modeling, vector search, hybrid search, or retrieval-based applications preferred.
Familiarity with unstructured data processing, document extraction, metadata management, content chunking, or search indexing preferred.
Experience with entity resolution, master data management, change data capture, or incremental data processing preferred.
Understanding of data provenance, traceability, and governance requirements within complex enterprise or regulated environments.
Strong analytical thinking, technical judgment, and problem-solving skills, with the ability to independently evaluate trade-offs, troubleshoot complex issues, and develop scalable solutions.
Excellent written and verbal communication skills, including the ability to document technical solutions, explain complex concepts, and collaborate effectively with technical and nontechnical stakeholders.
Demonstrated ability to work with business subject matter experts, engineering teams, and globally distributed stakeholders to translate requirements into reliable data solutions.
Ability to manage competing priorities, adapt quickly to evolving requirements, and deliver high-quality solutions in a fast-paced, collaborative environment.
Experience using AI-assisted and agentic development tools to improve engineering productivity, or a strong willingness to incorporate these technologies into daily development practices.
Prior experience with AI, machine learning, LLM systems, or knowledge graphs is not required; demonstrated engineering fundamentals and the ability to learn emerging technologies are essential.
No professional certifications or licenses required.

The pay rate range for this job position are listed below. Actual compensation is influenced by a variety of relevant factors including but not limited to applicant’s skills, prior experience, qualifications, degrees, professional certifications, work arrangements and geographic location. Baker Tilly offers a comprehensive compensation and benefits package to eligible employees.

The national pay rate range is $185,000 –$230,000 In California: pay rate range is $185,000 –$230,000

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