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Added 4 mins ago
TP
Principal Data Engineer – Data Platform
The Planet Group
Irving, TX
- $80 to $95 USD / hour
…candidate will help shape an enterprise data environment built on Azure Databricks including developing pipelines, strengthening engineering practices, and turning existing analytical code…
Added 13 mins ago
Consultant -- Azure, Data & AI
Coretek Services
Remote, United States
Data Platform Development: Design and implement Azure-based data solutions using Microsoft Fabric, Azure Synapse Analytics, Databricks, and Azure database systems (SQL, Cosmos DB, Postgres).
Added 20 mins ago
AI Engineer
Accuity
United States
The AI Engineer develops and operates the AI systems that support automation across Accuity’s clinical documentation and revenue cycle workflows. Reporting to the Vice President, Data…
Added 46 mins ago
Data Engineer
BOOZ, ALLEN & HAMILTON, INC.
Virginia Beach, 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 an…
Added 47 mins ago
Data Scientist--JIATF
CACI
Alexandria, VA · Alexandria
Microsoft Azure, AWS, Databricks, or equivalent analytics certifications.
Added 1 hour ago
Associate Principal Engineer - Integration Solutions Architect (Hands-on)
Nagarro
Jersey City, NJ
…engineering, quality assurance, DASH/IBM Business Automation Workflow, Azure, AKS and Databricks services. The Integration Solutions Architect owns client-facing integration architecture…
Added 1 hour ago
CI
Full Stack Engineer
CareQuest Institute for Oral Health Inc
Remote, United States
- $109,140 to $128,400 USD / year
Experience with cloud data platforms such as Snowflake, Databricks, Azure, or comparable technologies.
Added 1 hour ago
Applied AI Engineer
ERCOT
Taylor, TX
Cloud or AI/ML certification (Azure AI Engineer, AWS Machine Learning, or Databricks) (Preferred)
Added 1 hour ago
BW
Cloud Data Engineer Python
Brains Workgroup, Inc.
Iselin, NJ
- $80 to $85 USD / hour
The Cloud Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and Azure cloud platforms. This role involves working with large datasets, optimizing…
Added 1 hour ago
IG
Azure Data Engineer - INTL LATAM
Insight Global
Remote, United States
- From $25 USD / hour
2+ year experience of navigating data in Azure Databricks, ADF, PySpark technologies
Added 1 hour ago
CA
Senior Data Engineer
Care Access
Remote, United States
- $120,000 to $160,000 USD / year
Optimize data storage and processing in data lakes and cloud data warehouses (Azure, Databricks).
Added 1 hour ago
Data Visualization Engineer
State of Nebraska
Lincoln, NE
Hands-on experience with modern data engineering technologies such as Databricks, Snowflake, Azure Data Factory, and cloud data environments.
Added 2 hours ago
VI
Senior Data Engineer, Data Products & Platforms
Vizient, Inc.
Centennial, CO
- $31,533 USD / year
…curated data assets, and reusable platform capabilities using Databricks and cloud-native technologies while partnering with product, analytics, and business teams to transform complex data…
Added 2 hours ago
VI
AI/ML Engineer Team Lead
Vizient, Inc.
Centennial, CO
- $31,533 USD / year
Experience with Microsoft Azure, Azure AI Foundry, Azure AI Search, or comparable cloud AI and semantic-retrieval technologies preferred.
Added 2 hours ago
Data Engineer, Vice President
Sumitomo Mitsui Banking Corporation
Charlotte, NC
The Lead Data Engineer will be responsible for developing scalable data platforms on Databricks that support end-to-end data sourcing, CCAR model Development, model execution, data…
Added 2 hours ago
Full-Stack AI Engineer (Agentic Solutions) | Remote | USC Only.
Xlysi
Remote, United States
Microsoft certifications (Azure AI Engineer Associate / Azure AI Apps and Agents Developer Associate)
Added 3 hours ago
Senior Data & AI Engineering Consultant
Interlink Cloud Advisors, Inc.
Mason, OH
…orchestration pipelines using Microsoft Fabric experiences and Azure services such as Data Factory, Synapse, and…
Added 3 hours ago
Data Engineer
State of Nebraska
Lincoln, NE
Hands-on experience with modern data engineering technologies such as Databricks, Snowflake, Azure Data Factory, and cloud data environments.
Added 3 hours ago
Senior Software Engineer
Sam's Club
BENTONVILLE, AR
…Jenkins and GitHub; deploying pipelines using Cloud technologies (Azure and AWS); software design patterns and distributed computing; utilizing software development practices such as Git,…
Added 3 hours ago
Databricks Data Engineer, Risk Technology
CIBC
Chicago, IL
As a Databricks Data Engineer on the US Risk Technology team, you’ll be working on AML Tech, Databricks, and other applications to support the US Risk Management business. Working in a…
Added 3 hours ago
IG
REMOTE Sr Data Engineer
Insight Global
Remote, United States
- From $74 USD / hour
-5+ years of experience as a Data Engineer building and supporting production data pipelines, data modeling, data transformations and data optimization
Added 4 hours ago
Data Engineer
AirLife
Grand Rapids, MI
The Data Engineer is the hands-on builder and operator of AirLife’s Databricks Lakehouse, reporting to the Data Engineering & Platform Manager. This role builds, operates, and improves the…
Added 4 hours ago
Lead Data Engineer - Data Engineering 4C
Genpact LLC
Jacksonville, FL
Certified Data Management Professional - RiversandRiversand, Databricks Certified Associate Developer for Apache Spark 3.0 - Databricks AcademyDatabricks Academy, Databricks Certified…
Added 7 hours ago
DATA ENGINEERING SR MANAGER
Dollar General
Goodlettsville, TN
…Experience working with a cloud platform such as Snowflake / Azure or…
Added 7 hours ago
UG
Senior Data Engineer
UnitedHealth Group
Eden Prairie, MN
- $91,700 to $163,700 USD / year
As a Senior Data Engineer on the PI CAP Data Engineering team within Optum Insight based in Eden Prairie, MN, you will join an innovative technology group responsible for architecting,…

Closed listing

Deloitte

Data Engineer II

Atlanta, GA, United States

This opening has closed.

The original listing is kept below for reference.

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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.

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