Databricks Data Engineer - Consultant

• Posted 2 hours ago • Updated 2 hours ago

Full Time

On-site

USD $84,400.00 - 155,400.00 per year

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Job Details

Skills

Technical Drafting
Data Governance
Analytics
Reporting
Apache Airflow
Data Modeling
Regulatory Compliance
DevOps
Jenkins
Microsoft TFS
Windows PowerShell
Communication
Customer Facing
Documentation
Data Architecture
Modeling
Computer Science
Data Engineering
FOCUS
Storage
Apache Spark
Data Warehouse
Dimensional Modeling
Streaming
Workflow
Orchestration
Meta-data Management
Data Quality
PySpark
Unity
Access Control
Continuous Integration
Continuous Delivery
Performance Tuning
Immigration
Amazon Web Services
Microsoft Azure
Google Cloud Platform
Google Cloud
Cloud Computing
Big Data
Stacks Blockchain
Artificial Intelligence
Machine Learning (ML)
Use Cases
Databricks
Training
Management
Call Center
GNU Compiler Collection
MEAN Stack
Innovation
Investments
Professional Development
Leadership
Mentorship
Legal
SAP BASIS
Law
LOS
Recruiting

Summary

Job Title: Consultant - Databricks Data Engineer

Job Summary

As a Databricks Data Engineer, you will design, build, and optimize enterprise-scale data engineering solutions using Databricks on AWS, Azure, or Google Cloud Platform (Google Cloud Platform). You'll help clients modernize data platforms using Lakehouse patterns, deliver reliable and performant pipelines, and translate technical design into measurable business outcomes. You'll contribute to engineering standards, data governance, and delivery excellence while collaborating closely with stakeholders across business and technology teams.

Recruiting for this role ends on 3/13/2026.

Work You'll Do (Key Responsibilities)

Data platform delivery: Design, develop, test, and maintain scalable data pipelines and data products on Databricks to support enterprise analytics and reporting needs.

Lakehouse Engineering: Implement Databricks Lakehouse solutions using Apache Spark and Delta Lake, delivering batch/streaming pipelines with Delta Live Tables, Autoloader, Structured Streaming, Workflows, and orchestration (e.g., Apache Airflow).

Data Modeling: Build curated, governed data products by applying metadata-driven ingestion, PySpark incremental loads, and data quality frameworks, plus 3NF/dimensional modeling and Unity Catalog-based security/compliance controls.

Governance & security: Support implementation of governance, security, and compliance controls in cloud data ecosystems, including Unity Catalog and fine-grained access controls.

Performance optimization: Monitor and tune jobs, code, clusters, and pipeline designs to improve reliability, throughput, and cost efficiency.

DevOps & automation: Implement and maintain CI/CD practices for data engineering deployments using tools such as Azure DevOps, AWS CodePipeline, Jenkins, TFS, or PowerShell.

Communication: Clearly explain technical tradeoffs, implementation choices, and business value to technical teams and non-technical stakeholders; contribute to project plans, status updates, and client-facing deliverables.

Best practices contribution: Contribute to documentation and reusable patterns for data architecture, integration, modeling, and engineering standards.

Required Qualifications

Bachelor's degree in Computer Science, Engineering, or related field (Master's preferred).

2+ years of hands-on experience in data engineering with a strong focus on Databricks, deployed on any major cloud (AWS, Azure, Google Cloud Platform).

Minimum of 2 years Technical Proficiency:

Databricks and cloud-native storage/compute and distributed processing platforms

Lakehouse architecture, Apache Spark, Delta Lake

Data warehousing and implementation experience with 3NF, dimensional modeling, and enterprise data lakes

Databricks components: Delta Live Tables, Autoloader, Structured Streaming, Databricks Workflows, and orchestration.

Incremental data loads; building metadata-driven ingestion and data quality frameworks using PySpark

Unity Catalog and fine-grained security/access control

Proven track record deploying solutions through automated CI/CD pipelines.

Experience with performance optimization of pipelines, code, and compute resources.

Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve

Limited immigration sponsorship may be available

Preferred Qualifications

Strong knowledge of one or more cloud ecosystems: AWS, Azure, Google Cloud Platform cloud ecosystems and associated big data stacks is strongly preferred.

Experience supporting or enabling AI/ML use cases.

Databricks certifications

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 $84,400 - $155,400.

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.

Information for applicants with a need for accommodation: ;/b>

Deloitte is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to participate in the recruiting process, please direct your inquiries to the Global Call Center (GCC) at

Recruiting tips

From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters.

Benefits

At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you.

Our people and culture

Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ways of thinking, ideas, and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work.

Our purpose

Deloitte's purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Learn more.

Professional development

From entry-level employees to senior leaders, we believe there's always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career.

As used in this posting, "Deloitte" means Deloitte Consulting LLP, a subsidiary of Deloitte LLP. Please see for a detailed description of the legal structure of Deloitte LLP and its subsidiaries.

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.

Qualified applicants with criminal histories, including arrest or conviction records, will be considered for employment in accordance with the requirements of applicable state and local laws, including the Los Angeles County Fair Chance Ordinance for Employers, City of Los Angeles's Fair Chance Initiative for Hiring Ordinance, San Francisco Fair Chance Ordinance, and the California Fair Chance Act. See notices of various fair chance hiring and ban-the-box laws where available. Fair Chance Hiring and Ban-the-Box Notices | Deloitte US Careers

Requisition code: 325416

Job ID 325416

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Dice Id: 90922487
Position Id: 23910162
Posted 2 hours ago

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