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Snowflake Data Engineer II

Deloitte

Sacramento, CAJob$98–163K/yrSeen 5 days agoSeen in employer's feed 5 days ago

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At a glance

Compensation
$98–163K/yr
Location
Sacramento, CA
Work Authorization
US work authorization required

Olive lists jobs from US employers, including remote roles you can work from the United States.

Requirements

Credentials this posting asks for.

Security clearance

Job overview

Deloitte’s AI & Engineering team designs and deploys enterprise solutions on Snowflake for government and public-sector clients. The role leads data engineering, data science, and business intelligence solutions, advises stakeholders on data strategy, and oversees pipelines, data models, and machine learning applications. The posting describes a Data Engineer III role, while the provided title identifies it as Snowflake Data Engineer II.

Skills & qualifications

RequiredNice to have

Skills

SnowflakeCortex AICortex LLM FunctionsCortex AgentsArctic EmbedCloud EcosystemsMLOpsDatabricks Platform AdministrationLeadershipCommunicationStakeholder ManagementSnowflake CertificationsSparkAirflowDbtStreamingData ModelingFeature EngineeringExperimentationModel Evaluation

Qualifications

Bachelor's or Master's in Computer Science, Engineering, or Related FieldUS Work Authorization Without SponsorshipObtain and Maintain US Security Clearance2+ Years Client-Facing Experience1+ Years Snowflake Experience1+ Years Cloud Ecosystem ExperiencePublic Sector ExperienceActive Public Sector Security Clearance

Full job description

Our Deloitte AI & Engineering team works to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

Work you'll do

As a Data Engineer III at Deloitte, you will lead the end-to-end design and deployment of enterprise solutions on the Snowflake Platform. You will serve as a trusted advisor to our clients, using your deep, real-world project experience to architect solutions that encompass data engineering, data science, and business intelligence. This strategic role is focused on driving innovation and helping clients unlock the full potential of their data and AI investments.

Key Responsibilities:

  • Architect and Deliver Solutions: Lead the architecture and implementation of advanced solutions on Snowflake, covering everything from large-scale data pipelines to production-ready AI/ML models.

  • Client Advisory and Strategy: Advise senior stakeholders on a holistic data strategy, including best practices for data engineering, MLOps, BI, and data governance on the Snowflake platform.

  • Full-Spectrum Implementation: Oversee the design and development of robust data pipelines, analytics-ready data models, and scalable machine learning applications.

  • Project Leadership: Lead technical discussions with business and functional analysts to translate complex requirements into comprehensive solution designs based on proven project success.

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 mentor and provide clear guidance to others

The team

Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively with organizational intelligence programs and differentiated strategies to win in their chosen markets.

Qualifications

Required:

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field

  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future

  • Must be able to obtain and maintain a US government security clearance

  • 2+ years of real-world experience in a client-facing role, advising on and implementing end-to-end solutions on the Databricks platform

  • 1+ years of experience with Snowflake including hands on experience with one of the following key platform technologies; Cortex AI, Cortex LLM Functions, Cortex Agents, Arctic Embed

  • 1+ years of experience in cloud ecosystems (AWS, Azure, GCP) and MLOps principles including Databricks Platform administration on a cloud provider

  • Ability to travel up to 25%, on average, based on the work you do and the clients and industries/sectors you serve

Preferred:

  • Strong leadership, communication, and stakeholder management skills

  • Active Snowflake certifications

  • Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation

  • Public sector experience preferred

  • Active public sector security clearance preferred

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 $97,700 to $162,800.

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.

ai&e fy27 profile

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.

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.

How this job compares

Set against the 5,720 open Data Engineer jobs on Olive Jobs, counted October 27, 2026.

Pay
  • This posting$98–163K/yr
  • California median$150–234K/yr652 salary ranges
  • US median$127–208K/yr4,350 salary ranges

This range's midpoint, $130K, is 33% below the California median midpoint ($195K) — in the lowest quarter of Data Engineer salary ranges in California.

Openings
Olive Jobs lists 865 open Data Engineer jobs in California and 5,720 across the US. 8% of them nationwide are listed as remote or flexible.
Hiring the most in California
Experience
This posting asks for at least 2 years of experience — less than three in four Data Engineer postings that state a minimum ask for (median 5 years, across 4,958 postings).
Education
2,660 of the 5,720 open Data Engineer jobs (47%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on October 27, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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