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Added 11 mins ago
Senior Site Reliability Engineer
US AMR-Jones Lang LaSalle Americas, Inc.
Remote, United States
As a Senior Site Reliability Engineer on JLL’s Technical Engineering team for corporate functions, you will serve as a trusted technical authority for the PeopleSoft FSCM 9.2 environment…
Added 13 mins ago
Senior AI/AML Engineer, Vice President
Citi
JERSEY CITY, NJ · Jersey City, NJ · Jersey City
Citi Wealth is seeking a highly experienced Senior AI/AML Engineering hands on senior engineer of enterprise-grade GenAI and agent-based solutions. This role is responsible for designing,…
Added 24 mins ago
Machine Learning Engineer
ADT
Boca Raton, FL
As an ML Engineer II on the AI, Automation & Data team, you will independently design, deploy, operate, and continuously improve production machine learning, generative AI, and…
Added 26 mins ago
CA
Senior Automation Engineer | Technology Services
City and County of Denver
United States
- $86,634 to $120,000 USD / year
…reliability, innovation, access, and security. As a Senior Automation Engineer, you will serve as a technical expert responsible for designing, implementing, and supporting automation…
Added 42 mins ago
Machine Learning Engineer, Applied AI Intern (Summer 2027)
Brain Co.
San Francisco, CA
As an AI/ML Engineer Intern, you’ll work alongside experienced engineers and researchers to help design, build, and deploy machine learning systems that solve high-impact problems in…
Added 43 mins ago
Staff Software Engineer
The Home Depot
Atlanta, GA
The Staff Software Engineer is responsible for leading a team of engineers building and designing a product that our customers and associates love. As a Staff Software Engineer, you will be…
Added 43 mins ago
Solution Architect / Cloud Native Lead- Lead Software Engineer 1
Capgemini
Atlanta, GA, GA · Irving, TX, TX · Nashville, TN, TN · Chicago, ND · Houston, TX, TX · Bridgewater, NJ, NJ · San Francisco, CA, CA
AI and data: GenAI and agentic AI strategy, data governance and migration
Added 43 mins ago
Forward Deployed Engineer
Capgemini
New York, NY, NY
Forward Deployed Engineer specializing in AI solution delivery for the insurance industry, responsible for leading engagements from discovery through production deployment. Combines strong…
Added 55 mins ago
Senior Lead Software Engineer
JPMorgan Chase
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 1 hour ago
Senior AI/AML Engineer, Vice President
Citi
JERSEY CITY, NJ · Jersey City, NJ · Jersey City
Citi Wealth is seeking a highly experienced Senior AI/AML Engineering hands on senior engineer of enterprise-grade GenAI and agent-based solutions. This role is responsible for designing,…
Added 1 hour ago
WD
Staff Software Engineer
Walt Disney Pictures
Glendale, CA
- $158,100 to $211,900 USD / year
At Disney, storytelling is powered by technology. As a Staff Software Engineer, you will build the platforms that move our content from production to audience. Join us and contribute to the…
Added 2 hours ago
AI Engineer (Vertex AI)
Capgemini
New York, NY, NY
Build, test and deploy production GenAI solutions on Google Cloud for insurance clients: document summarization, intelligent intake, underwriting and claims assistants, and agentic…
Added 2 hours ago
Software Development Engineer Intern, Machine Learning/Automated Reasoning- Summer 2027
Amazon.com Services LLC
Boston, MA · Austin, TX · Sunnyvale, CA · Seattle, WA · Arlington, VA · Bellevue, WA · New York, NY · Irvine, CA · San Diego, CA
…tomorrow's technology. At Amazon, you'll grow into the high-impact engineer you know you can be, supported by a culture of learning and mentorship. Every day brings exciting new challenges…
Added 2 hours ago
H
Staff Software Engineer, Full Stack
Harvey
San Francisco, CA
- $231,000 to $314,350 USD / year
As a Senior Software Engineer on the Product Engineering team at Harvey, you will own and lead engineering projects across our various product lines. You will work closely with our AI,…
Added 3 hours ago
Enablement Engineer
NTT Data Americas, Inc.
Charlotte, NC
NTT DATA's Client is currently seeking an AWS Data & AI Platform Engineer to join their team in Charlotte, North Carolina (US-NC), United States (US).
Added 3 hours ago
Enablement Engineer
NTT Data Americas, Inc.
Charlotte, NC
NTT DATA's Client is currently seeking an AWS Data & AI Platform Engineer to join their team in Charlotte, North Carolina (US-NC), United States (US).
Added 3 hours ago
Gen AI Senior Engineer
NTT Data Americas, Inc.
Charlotte, NC
The Senior Engineer (Generative AI) is responsible for designing, developing, and deploying scalable Generative AI (GenAI) solutions within an enterprise environment, with a focus area for…
Added 3 hours ago
Security Engineer II, AWS Cloud Security Response
Amazon.com Services LLC
Seattle, WA · Herndon, VA
Added 3 hours ago
Platform Engineer - AVP
Barclays Services LLC
United States
Embark on a transformative journey as a Platform Engineer - AVP. At Barclays, our vision is clear – to redefine the future of banking and help craft innovative solutions. In this role, you…
Added 4 hours ago
Forward Deployed Engineer III, Generative AI, Google Cloud
Google
Pittsburgh, PA
As a GenAI Forward Deployed Engineer (FDE) at Google Cloud, you will be an embedded builder who bridges the gap between frontier AI products and production-grade reality within customers.…
Added 4 hours ago
Forward Deployed Engineer IV, Generative AI, Google Cloud
Google
Pittsburgh, PA
As a Generative AI (GenAI) Forward Deployed Engineer (FDE) at Google Cloud, you are an embedded builder who bridges the gap between frontier AI products and production-grade reality within…
Added 4 hours ago
AI Data Engineer I, Professional Services, Google Cloud
Google
Atlanta, GA
Share AI Data Engineer I, Professional Services, Google Cloud
Added 4 hours ago
Senior Software Engineer, GenAI, Expert Intelligence
Google
Mountain View, CA
1 year of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).
Added 4 hours ago
AI Engineer (AI Data Privacy, Security & Governance)
Robert Half
San Ramon, CA
Apply data classification, retention, and residency policies across GenAI data flows.
Added 4 hours ago
Staff Software Engineer, YouTube Shorts Creation Data, Metrics and Compute
Google
Mountain View, CA
Share Staff Software Engineer, YouTube Shorts Creation Data, Metrics and Compute

Closed listing

Deloitte

Data Engineer II

McLean, VA, United States
Richmond, VA, United States

This opening has closed.

The original listing is kept below for reference.

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About employer

Job details

Posting language: English
Posted: Oct 15, 2026

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Original job description

Archived listing. The details below describe a past opening.

Our Human Capital practice is at the forefront of transforming the nature of work. As converging forces reshape industries, our team uniquely addresses the complexities of work, workforce, and workplace dynamics. We leverage sector-specific insights and cross-domain perspectives to help organizations tackle their most challenging workforce issues and align talent strategies with their strategic visions. Our practice is renowned for making work better for humans and humans better at work. Be part of this exciting era of change and join us on this transformative journey.

This role is hands-on and delivery-oriented: you will design, build, and implement reusable analytics products and assets that meet client needs and extend our Human Capital service offerings.

Recruiting for this role ends on 10/30/2026.

Work you'll do

The Data Engineer Consultant will support data architecture and engineering delivery that enables artificial intelligence (AI), machine learning (ML), and generative AI (GenAI) solutions, ensuring data is trusted, secure, observable, and scalable from ingestion through consumption. You will design and operationalize modern data and retrieval foundations to support large language model (LLM)-powered applications (e.g., Claude, GPT/Codex, Gemini) including patterns such as retrieval-augmented generation (RAG), embeddings, vector search, and governed access to structured and unstructured data and work directly with Human Capital product managers and clients to design and deliver data-driven workforce and human capital analytics solutions, owning end-to-end solutions from data modeling to stakeholder presentations. You will build dashboards, reports, and reusable analytics products, turning complex human capital data into clear, actionable insights. You will be part of a blended onshore/offshore delivery team, partnering with data science, ML engineering, and product stakeholders to translate use cases into production-ready pipelines and platforms with strong data governance, lineage, quality controls, and monitoring.

Lead the design, development, and delivery of analytics solutions that address complex workforce and human capital challenges for clients across industries.
Build and maintain scalable data pipelines, dashboards, and reporting frameworks using Structured Query Language (SQL) and Tableau (or equivalent visualization platforms).
Translate ambiguous business problems into structured analytical approaches, communicating findings and recommendations clearly to both technical and non-technical stakeholders.
Collaborate across service lines to embed AI-enabled capabilities and emerging data methodologies into client solutions.
Support business development efforts including proposals, client presentations, and thought leadership content.
Design and deliver intuitive, executive-ready reports and dashboards that make complex workforce data accessible and actionable.

A successful candidate would possess these skills:

Ability to work independently and collaborate as part of a team
Effective written and verbal communication skills
Meticulous attention to detail and quality of work product
Ability to build and sustain professional relationships
Ability to lead projects or workstreams
Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
Strong interpersonal skills and professional demeanor
Ability to meet deadlines
Ability to provide clear guidance to others

The team

HC Forward is a dedicated innovation partner accelerating the future of Human Capital by building market-aligned products, platforms, and services that apply AI, data, and engineering to modernize HR experiences and outcomes.

Qualifications

Required:

Bachelor's degree in a Science, Technology, Engineering, and Mathematics (STEM) field (e.g., Computer Science, Engineering, Statistics, Data Science)
2+ years of experience in data science, data engineering, or analytics.
2+ years of modern data & AI engineering, including data modeling, batch/streaming pipelines, structured/unstructured processing, and feature engineering/serving fundamentals.
1+ years of experience with machine learning concepts, large language model applications, or AI-augmented analytics workflows.
2+ years of experience using Python or R for statistical modeling and data wrangling, including proficiency in Databricks or Snowflake.
Ability to travel 0-25%, on average, based on the work you do and the clients and industries/sectors you serve.
Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred:

Advanced degree, including a Master of Science (MS) or Doctor of Philosophy (PhD), and/or relevant certifications.
Direct experience in client-facing or consulting environments, with Human Capital platforms and integrations (e.g., Workday, SAP SuccessFactors, Oracle Human Capital Management (HCM), Salesforce), or in Human Resources (HR) data domains.
Experience operationalizing large language model operations (LLMOps) and machine learning operations (MLOps) capabilities, including evaluation, monitoring, governance workflows, and model/prompt/version management.
Cloud experience on one or more of Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP), including managed data platforms and scalable compute patterns.
Experience explaining complex data and technology concepts, articulating risks and trade-offs, documenting decisions, and collaborating across product, data science/ML, data engineering, platform, and security teams.
Experience in analytics product development-building repeatable tools, models, or platforms rather than one-off deliverables-and ethics and privacy practices, including recognizing consent, personally identifiable information (PII), and bias boundaries and escalating appropriately.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $91,100 to $179,500.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

#HCFY27`

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

About employer

More about this job

Skills

ML
Unstructured data
Data modelling
Presentation skills
Reporting
Use query languages
SQL
Tableau
Sales
Leadership
Work independently
Communication skills
Attention to detail
Interpersonal skills
Meet deadlines
Computer science
Statistics
Data engineering
Python
R
Databricks
Snowflake
Workday
SuccessFactors
Oracle
Salesforce
Machine learning
AWS
Microsoft Azure
Google Cloud

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