Jobs in the United States

25+ jobs

Save this search

Added just now
Quality Engineer
Globus Medical Inc
PA
The Quality Engineer supports musculoskeletal devices and instruments manufacturing operations through the development, implementation, and continuous improvement of quality systems,…
Added 1 min ago
Staff Software Engineer, YouTube Shorts Creation Data, Metrics and Compute
YouTube
Mountain View, CA
Experience designing and operating production-grade data warehouses, distributed data pipelines, and telemetry schemas using SQL, Python, C++, or Go, and Protocol Buffers.
Added 2 mins ago
TM
Embedded Engineering Intern
TASI Measurement
Kent, WA
- $26 to $28 USD / hour
Embedded development project: implement or extend a small firmware feature, diagnostic routine, or test utility under engineer direction, with documented requirements, code review, and…
Added 3 mins ago
Senior Machine Learning Engineer, Analytics Center of Excellence (Remote/WFH)
IQVIA INC (US10)
Durham, NC
…customers either as a consultant or as a solution Machine Learning Engineer. There will also be opportunities to prepare and submit conference and journal…
Added 4 mins ago
Software Engineer (Remote)
M3USA
Remote, United States
Due to our continued growth, we are hiring for a Software Engineer to join PracticeMatch, an M3 Company.
Added 4 mins ago
Senior Cybersecurity Assessment Engineer
The MITRE Corporation
McLean, VA · Fort Meade - Annapolis Junction, MD · Windsor, MD
We are seeking a Senior Cybersecurity Assessment Engineer to contribute technical expertise across the department’s assessment and cyber engineering portfolios. As a core member of the…
Added 5 mins ago
Data Engineer
Booz Allen Hamilton_United States
Arlington, VA
…unstructured data available today than ever before. As a data engineer, you know that organizing data can yield pivotal insights when it’s gathered from disparate sources. We need a data…
Added 5 mins ago
Data Engineer and Technical Lead
Booz Allen Hamilton_United States
Alexandria, VA
Data Engineer and Technical LeadThe Opportunity:
Added 5 mins ago
Senior Lead Software Engineer
JPMC page
Jersey City, NJ
As a Senior Lead Software Engineer at JPMorganChase within the Commercial and Investment Bank Payments Technology team, you are an integral part of an agile team that works to enhance,…
Added 6 mins ago
Senior Corporate Security Engineer
Charlie Health Engineering, Product & Design
Remote, United States
The Senior Corporate Security Engineer role is responsible for designing, building and operating the technical security systems and controls that protect Charlie Health’s corporate…
Added 6 mins ago
Senior Corporate Security Engineer
Charlie Health
Remote, United States
The Senior Corporate Security Engineer role is responsible for designing, building and operating the technical security systems and controls that protect Charlie Health’s corporate…
Added 6 mins ago
Senior Network Infrastructure Engineer – F5 / NetScaler
Greenwood Village, CO · Omaha, NE · Columbus, OH
You will serve as a senior technical engineer supporting enterprise load balancing and DNS. You will lead the design, deployment, optimization, and troubleshooting of highly available…
Added 6 mins ago
FTS Network Services - Network Product Engineer
Fiserv Solutions LLC
Greenwood Village, CO
You will engineer, implement, automate, validate, and optimize complex enterprise network infrastructure and network services. You will work across data center, campus, WAN, security,…
Added 7 mins ago
Senior Software Engineer - Integrations
Dropzone AI
Remote, United States
Dropzone’s mission is to scale cybersecurity beyond human limits, and augment every single human security engineer/analyst with an army of AI security specialists. Humans alone cannot…
Added 9 mins ago
Senior AI Engineer, TIFIN @Work
TIFIN
Boulder, CO
We are looking for a Senior AI Engineer to own the architecture of our AI agents. You will design the multi-agent workflows that answer real financial and benefits questions for real…
Added 10 mins ago
Senior Software Engineer, Integrations & Data
Wilks Brothers, LLC
Fort Worth, TX
This is a high-ownership role for a backend engineer who is equally at home building system-to-system integrations and building data pipelines. Equify runs on a connected set of vendor…
Added 10 mins ago
Senior Analyst, Agentic AI Engineer
Dell
Hopkinton, MA
Join us to do the best work of your career and make a profound social impact as a Senior Analyst, Agentic AI Engineer on our Services Operations AI Transformation team in Hopkinton,…
Added 12 mins ago
Data Engineer - Global Manufacturing Digitalization
Siemens
Wendell, NC
We are looking for an Associate Manufacturing Data Engineer. This position will be based in Wendell, NC.
Added 12 mins ago
Data and Analytics Engineer - Global Manufacturing
Siemens
Wendell, NC
We are looking for a Manufacturing Data & Analytics Engineer. This position will be based in Wendell, NC.
Added 12 mins ago
C
Software Consulting Engineer I (Full Time) United States
Cisco
Research Triangle Park, NC
- Full-time
Up-to-dateon programming and scripting languages: C/C++, Python, Java
Added 12 mins ago
Consulting Engineer
Cisco
Research Triangle Park, NC
…efforts and mentoring other consultants within the team. As an engineer, you will help build solutions, perform implementations, and enables customer self-sufficiency on best-in-class Cisco…
Added 12 mins ago
Platform Software Engineer – AI/ML & GPU Infrastructure
Cisco
Research Triangle Park, NC
As a Platform Software Engineer on the Platform Engineering team, you will design, build, and operate the control-plane and scheduling systems that make GPU infrastructure usable at scale.…
Added 12 mins ago
Software Engineer-Mid
General Dynamics Information Technology
Fort Bragg, NC
As a Software Engineer, you will design and maintain data-driven backend systems to provide secure, high-performance search and analytics capabilities, with a focus on supporting U.S.…
Added 12 mins ago
Advanced Manufacturing Engineer II
Honeywell Aerospace
Rocky Mount, NC
As an Advanced Manufacturing Engineer II here at Honeywell Aerospace, you will play a vital role in optimizing and advancing our manufacturing processes to enhance productivity, quality,…
Added 13 mins ago
Senior SCADA/HMI Platform Engineer
Insight Global
Durham, NC
Insight Global is seeking a Senior SCADA/HMI Platform Engineer for a leading advanced manufacturing client in North Carolina. This individual will own the vision, architecture, and…

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

Apply About employer

Applications open in a new tab.

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

Apply About employer

Report this job