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IT Support Supervisor
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Web Developer II
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SUPERVISORY PROGRAM ANALYST
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ProServe Area Delivery Leader - Security, NAMER
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Senior Software Developer - Scrum Master
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Closed listing

Deloitte

Databricks Data Engineer

Seattle, WA, 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: Jul 17, 2026

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Original job description

Archived listing. The details below describe a past opening.

Join Deloitte's Core AI & Data practice and help organizations modernize data platforms, strengthen enterprise data foundations, and scale analytics and artificial intelligence capabilities. As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based data engineering solutions that enable large-scale transformation. You will work with business and technology teams to modernize data environments, support analytics and artificial intelligence use cases, and deliver measurable business outcomes. This role offers the opportunity to help clients implement enterprise-scale Databricks solutions that improve platform performance and expand data-driven decision-making.

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

Work you'll do

As a Data Engineer II on the AI & Data team, you will be responsible for:

Design, build, and maintain data pipelines and data engineering solutions using Databricks, Apache Spark, Python, and Structured Query Language (SQL)
Support the modernization of enterprise data platforms by implementing cloud-based ingestion, transformation, and storage patterns
Develop and maintain batch and streaming data workflows that support reporting, analytics, and artificial intelligence use cases
Apply data architecture, integration, and data modeling practices to improve data quality, scalability, and platform performance
Collaborate with client and Deloitte teams to troubleshoot issues, implement enhancements, and support delivery of large-scale data transformation programs

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

Deloitte's Core AI & Data practice helps organizations modernize data platforms, strengthen enterprise data foundations, and scale analytics and artificial intelligence capabilities across the business. The team works with clients to architect, engineer, and deploy cloud-based data solutions that improve decision-making, enable innovation, and support large-scale transformation. Practitioners collaborate across business and technology functions to solve complex challenges in data modernization, governance, platform engineering, and insight delivery.

Qualifications

Required:

Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, Mathematics, or Statistics
3+ years of experience in data engineering, extract, transform, load (ETL) development, or data platform engineering
2+ years of experience building data pipelines in Databricks using Apache Spark, Python, and Structured Query Language (SQL)
Experience implementing data models, data integration patterns, and cloud-based data processing workflows
Experience working with at least one cloud platform: Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
Limited immigration sponsorship may be available.

Preferred:

Experience with Delta Lake, Databricks Workflows, and Unity Catalog
Experience using Git-based version control and continuous integration/continuous deployment pipelines
Experience supporting batch and streaming data workloads
Experience with data warehousing, lakehouse architecture, and performance optimization
Experience supporting analytics or machine learning data pipelines
Experience working in consulting or client service delivery environments

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 $86,700 to $170,900.

Information for applicants with a need for accommodation:

https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applic...

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

Databricks
Data engineering
Decision making
Apache Spark
Python
SQL
Reporting
Data modelling
Troubleshoot
Work independently
Communication skills
Attention to detail
Interpersonal skills
Meet deadlines
Artificial intelligence
Computer science
Statistics
Data models
Process data
AWS
Microsoft Azure
Google Cloud
Unity
Git
CI/CD
Data warehousing
Machine learning

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