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Lead Data Engineer II

Deloitte

Los Angeles, CAJob$152–253K/yrSeen 1 day agoSeen in employer's feed 1 day ago

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At a glance

Compensation
$152–253K/yr
Location
Los Angeles, CA
Work Authorization
Not specified

Olive focuses on jobs in the United States, including remote roles you can work from there.

Job overview

Deloitte’s GPS AI & Data team works with government and public higher education clients to design, develop, and operate data and AI platforms. The Lead Data Engineer II leads ArcGIS Enterprise operations and improvements, platform upgrades and incident resolution, and delivery of ArcGIS-integrated data pipelines and PostgreSQL data models. The role also translates client needs into work plans and oversees delivery, quality, risks, and timelines.

Skills & qualifications

RequiredNice to have

Skills

Independent Work, nice to haveCollaboration, nice to haveWritten Communication, nice to haveVerbal Communication, nice to haveAttention to Detail, nice to haveRelationship Building, nice to haveProject Leadership, nice to haveTask Prioritization, nice to haveInterpersonal Skills, nice to haveDeadline Management, nice to haveMentoring, nice to haveArcGIS Enterprise Administration, requiredArcGIS Development, requiredArcGIS Architecture, requiredETL/ELT Pipelines, requiredPython, requiredSQL, requiredData Modeling, requiredSpatial Data Integration, requiredTabular Data Integration, requiredPostgreSQL, requiredSQL Query Optimization, requiredDatabase Object Troubleshooting, requiredData Quality Checks, requiredData Lineage Documentation, requiredPipeline Monitoring, requiredVersion Control, requiredDeployment Workflows, requiredTechnical Team Leadership, requiredClient Requirements Management, requiredUser Story Development, requiredAcceptance Criteria Development, requiredWork Planning, requiredDelivery Risk Management, requiredArcGIS APIs, nice to haveGeospatial Web Services, nice to haveAutomated Test Suites, nice to have

Qualifications

10+ Years Professional Experience, required5+ Years ArcGIS Enterprise Experience, required5+ Years ETL/ELT Experience, required5+ Years Data Modeling Experience, required5+ Years Data Quality and Lineage Experience, required5+ Years Technical Leadership Experience, requiredUS Work Authorization Without Sponsorship, required25% Travel, required

Full job description

Our Deloitte AI & Engineering team transforms 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 Lead Data Engineer II on the GPS AI & Data team, you will be responsible for...

  • Lead the operation, maintenance, and continuous improvement of five ArcGIS Enterprise environments, including health, availability, security, and performance.

  • Plan and lead platform upgrades, migrations, patching, and incident resolution while coordinating GIS developers and technical team members.

  • Translate client and business needs into data engineering requirements, user stories, acceptance criteria, work plans, and work assignments.

  • Guide the design and delivery of ArcGIS-integrated data pipelines, PostgreSQL data models, and data quality controls.

  • Lead client discussions, communicate delivery status and risks, prioritize work, and oversee deliverables against requirements, quality standards, and timelines.

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.

Qualifications

Required:

  • 10+ years of professional experience.

  • 5+ years of experience administering and supporting ArcGIS Enterprise environments and implementing ArcGIS development and architecture, including upgrades, migrations, patching, security administration, performance monitoring, and incident troubleshooting.

  • 5+ years of experience developing and maintaining extract, transform, and load (ETL) or extract, load, and transform (ELT) data pipelines using Python and Structured Query Language (SQL).

  • 5+ years of experience designing data models, integrating spatial and tabular data in PostgreSQL, and developing, optimizing, and troubleshooting SQL queries and database objects.

  • 5+ years of experience implementing data quality checks, data lineage documentation, pipeline monitoring, version-control workflows, and deployment workflows; 5+ years of experience leading technical teams and managing client requirements, user stories, acceptance criteria, work plans, and delivery risks.

  • Ability to travel 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:

  • Experience using ArcGIS application programming interfaces (APIs) or geospatial web services to integrate mapping capabilities with data applications.

  • Experience creating automated test suites for data pipelines and database changes.

For individuals assigned and/or hired to work in Los Angeles, CA, Deloitte is required by law to include a reasonable estimate of the compensation range for this role. This compensation range is specific to Los Angeles, CA and 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. 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 $151,500 to $252,500.

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.

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 3,073 open Data Engineering jobs on Olive Jobs, counted November 15, 2026.

Pay
  • This posting$152–253K/yr
  • California median$152–259K/yr303 salary ranges
  • US median$124–214K/yr2,585 salary ranges

This range's midpoint, $202K, is close to the California median midpoint ($202K) — in the middle half of Data Engineering salary ranges in California.

Openings
Olive Jobs lists 367 open Data Engineering jobs in California and 3,073 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 10 years of experience — more than three in four Data Engineering postings that state a minimum ask for (median 5 years, across 2,707 postings).
Education
1,239 of the 3,073 open Data Engineering jobs (40%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 15, 2026. Figures based on too few postings are left out.

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