Data engineer jobs in Poway, CA and nearby (34 jobs)

Data engineer jobs within 25 miles of Poway, CA. Nearby towns and cities are included. Distances are straight-line, not driving distances.

Counted Nov 7, 2026

Hiring at a glance

View jobs

Open jobs: 34
Employers: 23

Advertised starting pay

Not enough comparable pay figures yet.

Employer-advertised starting pay, not employee salaries. Currencies and pay periods stay separate.

Where work happens

Remote: 0%0 listings
Hybrid: 12%4 listings
On-site: 9%3 listings

Not specified: 79% (27 listings)

Employers hiring include Deloitte US (5), Booz Allen Hamilton_United States (3), The Marlin Alliance (3).

Sources & calculation notes

These figures describe the listings on this role page at the date shown, not the whole job market. Listings can change.

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Hybrid and on-site classifications may be inferred from descriptions. Check the original ad. How we count

Data engineer jobs in Poway, CA and nearby

Within 25 miles

Save this search

Added 1 day ago
Data Engineer, Deal Intelligence & Automation, AWS GDSP
Amazon Web Services, Inc.
San Diego, CA
The Global Deal Strategy and Programs (GDSP) organization is seeking a Data Engineer to own the data infrastructure that unlocks deal intelligence and automation capabilities across the…
Added 2 days ago
Data Engineer II, JVM
PlayStation Global
San Diego, CA
Added 2 days ago
Manager, Cloud Data Engineer
Deloitte US
San Diego, CA
AI & Engineering leverages cutting-edge engineer
Added 4 days ago
Staff Data Engineer - Experimentation Platform
Intuit
San Diego, CA
Are you passionate about empowering people to test the impact of their ideas? Are you motivated by data-driven decisions? If 'yes', then the Intuit Experimentation Team (IXP) could be the…
Added 5 days ago
Senior Data Engineer
Womble
San Diego, CA
Womble Bond Dickinson (US) LLP is seeking a remote Senior Data Engineer to their US team. The Senior Data Engineer is the Firm’s hands-on technical owner for its enterprise internal data…
Added 6 days ago
Data Engineer- Consultant AI& E
Deloitte US
San Diego, CA
…wants to work in a collaborative environment? As an experienced Data Engineer-Consultant you will have the ability to share new ideas and collaborate on projects as a consultant without the…
Added 11 days ago
IC
Forward Deployed Data Engineer - Hybrid (Acton, MA or San Diego, CA)
Insulet Corporation
San Diego, CA
- $143,700 to $215,550 USD / year
As a Forward Deployed Data Engineer, you will lead the delivery and adoption of cutting-edge data and AI products across the organization.
Added 12 days ago
Data Engineer/Data Architect
The Marlin Alliance
San Diego, CA
The Marlin Alliance is seeking a forward-thinking Data Engineer/Data Architect in San Diego, CA to provide client support to our Navy client. This is an on-site role and applicants must…
Added 12 days ago
Senior Data Engineer (OpAI)
The Marlin Alliance
San Diego, CA
The Marlin Alliance, Inc. is seeking a Senior Data Engineer (OpAI) to design, build, and operationalize advanced data pipelines and analytics supporting Naval and DoD mission challenges.…
Added 12 days ago
Junior Data Engineer
The Marlin Alliance
San Diego, CA
The Marlin Alliance is seeking a dedicated Data Engineer to support our Navy client. The successful candidate will support a DoD client program by designing, building, and maintaining data…
Added 15 days ago
X
Associate Data Engineer
XIFIN
San Diego, CA
- $34.62 USD / hour
Added 16 days ago
T
Senior Data Engineer
Tillster
San Diego, CA
- $135,000 to $155,000 USD / year
Added 17 days ago
Data Engineer
Booz Allen Hamilton_United States
San Diego, CA
…intelligence means that there’s more structured and unstructured data available today than ever before. As a data engineer, you know that organizing data can yield pivotal insights when…
Added 17 days ago
Data Engineer
Booz Allen Hamilton_United States
San Diego, CA
…intelligence means that there’s more structured and unstructured data available today than ever before. As a data engineer, you know that organizing data can yield pivotal insights when…
Added 18 days ago
AB
JBATA - Data Engineer
Axos Bank
San Diego, CA
- $30 USD / hour
Added 19 days ago
Senior Data Engineer I
SHEIN
San Diego, CA
Added 20 days ago
SA
Data Engineer, Finance (R6329)
Shield AI
San Diego, CA
- $97,000 to $140,000 USD / year
Added 21 days ago
Data Engineer II (Data Operations & Infrastructure)
ICW Group
San Diego, CA
Added 21 days ago
Data Engineer - AI
TechHive
San Diego, CA
Seeking to hire a Data Engineer with 1- 3 years of Data Engineering experience (NOT seeking a Senior Data Engineer).
Added 21 days ago
B
Senior Data Engineer
BioTalent
San Diego, CA
- $185,000 USD / year
Senior Data Engineer | Medical Device Startup | San Diego, CA (Hybrid, 3+ days onsite)
Added 22 days ago
Senior Data Engineer (Remote)
Military, Veterans and Diverse Job Seekers
San Diego, CA
…using PCs, Tablets, and smartphones. This variety and depth of data rivals any industry, providing opportunities for financial, scientific, and geospatial analysis to…
Added 23 days ago
Data Engineer
Arsenault
San Diego, CA
Hands on administration of existing databases and big data systems
Added 24 days ago
Staff Data Engineer - Dev360
Intuit
San Diego, CA
…comprehensive view of how its applications are performing, enabling data-driven decisions to enhance customer experiences and improve operational…
Added 26 days ago
Sr Databricks Data Engineer
Deloitte US
San Diego, CA
Join Deloitte’s AI & Engineering practice and help organizations transform enterprise technology platforms, modernize data environments, and unlock value through innovation. As a Databricks…
Added 26 days ago
Lead Data Engineer
Deloitte US
San Diego, CA
Deloitte is seeking a Lead Data Engineer– Databricks to support the design, build, and delivery of modern data and analytics solutions for clients across industries. In this role, you will…

Data Engineer

DLA Piper LLP (US) · Reston, VA, United States · San Diego, CA, United States · San Francisco, CA, United States · Washington, DC, United States · Wilmington, DE, United States · Phoenix, AZ, United States · Los Angeles, CA, United States · Houston, TX, United States · Boston, MA, United States · Austin, TX, United States · Atlanta, GA, United States · Raleigh, NC, United States · Baltimore, MD, United States · NY, United States · Dallas, TX, United States · Palo Alto, CA, United States · Short Hills, NJ, United States · Minneapolis, MN, United States · Chicago, IL, United States · Seattle, WA, United States · Philadelphia, PA, United States · Miami, FL, United States

Apply About employer

DLA Piper LLP (US)

Data Engineer

Reston, VA, United States
San Diego, CA, United States
San Francisco, CA, United States
Washington, DC, United States
Wilmington, DE, United States
Phoenix, AZ, United States
Los Angeles, CA, United States
Houston, TX, United States
Boston, MA, United States
Austin, TX, United States
Atlanta, GA, United States
Raleigh, NC, United States
Baltimore, MD, United States
NY, United States
Dallas, TX, United States
Palo Alto, CA, United States
Short Hills, NJ, United States
Minneapolis, MN, United States
Chicago, IL, United States
Seattle, WA, United States
Philadelphia, PA, United States
Miami, FL, United States

Compensation & Benefits The firm's expected hiring range for this position is $100,787 - $160,255, depending on the candidate's geographic location, experience, skills, educational background, and overall qualifications.

Apply About employer

Applications open in a new tab.

Job details

Pay: Compensation & Benefits The firm's expected hiring range for this position is $100,787 - $160,255, depending on the candidate's geographic location, experience, skills, educational background, and overall qualifications.
Experience: 3 years of experience in data engineering and/or data platform engineering (pipelines, integration, and operational support).
Posting language: English
Posted: Oct 23, 2026

Original job description

DLA Piper is, at its core, bold, exceptional, collaborative and supportive. Our people are the backbone, heart and soul of our firm. Wherever you are in your professional journey, DLA Piper is a place you can engage in meaningful work and grow your career. Let’s see what we can achieve. Together.

Summary The Data Engineer, Solutions & Data role designs, builds, and operates data pipelines and data integration processes that translate raw data into trusted, usable datasets for analytics, reporting, and downstream solutions. The role focuses on operationalizing pipelines with governance and service expectations (SLAs), improving data quality and reusability, and enabling secure access to integrated data in support of business initiatives. In current initiatives, data engineering includes consolidating data from multiple sources into a central SQL-based integration point and performing field mapping and transformations, so solution teams can consume data consistently.

Location This position can sit in any of our U.S. offices and offers a hybrid work schedule.

Responsibilities

Data Pipeline Engineering & Integration

Build and operationalize data pipelines across heterogeneous environments, aligning to governance principles and service expectations (SLAs).
Build and maintain ingestion, transformation, and publication of pipelines (data engineering practice) to deliver analytics-ready data.
Consolidate data from multiple sources into a centralized integration point (e.g., a single SQL Server instance) and manage field mappings and transformations to support consistent downstream consumption.

Data Platform & Storage

Design and implement data pipelines using Azure data technologies (e.g., Azure Data Factory, Azure Databricks, Azure Event Hubs, SSIS) to ingest, process, and deliver data from sources such as APIs and other systems.
Build and maintain data warehousing capabilities (e.g., Azure Synapse Analytics) to support analytics and reporting workloads.

Data Quality, Reliability & Operations

Identify, troubleshoot, and resolve data issues including data quality, integrity, latency, and security concerns; apply monitoring and operational best practices to keep pipelines reliable and performant.
Contribute to data quality and governance practices, including profiling datasets, defining quality rules, and establishing monitoring/remediation approaches.

Collaboration & Delivery (Agile Pod Model)

Work cross-functionally with engineers, analysts, and stakeholders to understand requirements and deliver data solutions that support sprint-based delivery.
Support pod-level delivery by producing reusable data assets and integration components that can be leveraged across multiple initiatives.

Desired Skills

Proficiency in SQL and Python.
Data pipeline tooling and cloud data services experience (Azure Data Factory, Azure Databricks, Azure Event Hubs, SSIS).
Data warehousing experience (Azure Synapse Analytics) and strong fundamentals in data modeling, warehousing, and governance.
Scripting/automation skills (PowerShell and related tooling) for platform operations and troubleshooting.
Preferred experience includes familiarity with additional programming languages such as Java, Scala, or Go; experience integrating data from multiple enterprise source systems into a central SQL-based integration layer; and familiarity with DataOps concepts and operating in cross-functional teams that include data engineering personas.
The measures of success for this role include delivering data pipelines with trusted, quality data with agreed service levels, enabling faster onboarding of new data and more consistent analytics/AI consumption and creating reduced manual effort through reusable integrations and standardized transformations, improved data reliability and operational readiness.

Minimum Education

High School or GED

Preferred Education

Bachelor's Degree in Computer Science, Engineering, or related field.

Minimum Years of Experience

3 years of experience in data engineering and/or data platform engineering (pipelines, integration, and operational support).

Essential Job Expectations All DLA Piper employees are expected to demonstrate excellence in how we serve our clients and develop our people, upholding our firm values as part of our culture. Specific expectations include:

Communicate effectively, both verbally and in writing, with clients, lawyers, business professionals, and external audiences.
Produce high-quality work and respond to correspondence in an efficient, timely, and professional manner.
Meet deadlines, manage competing priorities, and commit to meeting high standards.
Comply with firm policies and procedures.
Maintain confidences as required in a law firm environment.

Physical Demands Sedentary work: This is primarily sedentary work, requiring occasional exertion of up to 10 pounds of force to lift, carry, push, pull, or move objects. The role involves sitting for extended periods, with occasional walking and standing, and occasional travel, both domestic and international.

Work Environment The selected candidate will have the opportunity for a hybrid work arrangement combining remote and in-office work. The specific arrangement will be determined at the time of hiring and may be modified at the firm's discretion.

DLA Piper offers a comprehensive benefits package, including medical, dental, and vision insurance, 401(k) retirement plan, and additional benefits.

Application Process Interested candidates must apply directly online. Application materials sent via email will not be accepted.

Reasonable accommodations may be made upon request to enable individuals with disabilities to perform the essential functions of this position or participate in the selection process. For accommodation requests, please contact careers@us.dlapiper.com.

Agency applications will not be considered.

This position is not eligible for immigration sponsorship or support.

Disclaimer This job description provides a concise overview of the role and is not intended to describe all work elements that may be performed. It should not serve as the sole criteria for personnel decisions. Job duties, requirements, and expectations may be modified at the firm's discretion at any time. This job description does not alter the at-will nature of employment.

We are committed to excellence in how we serve our clients and develop our people.

DLA Piper is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Job applicant poster viewing center.

Apply About employer

More about this job

Skills

Data engineering
SQL
Amazon Data Pipeline
Microsoft SQL Server
Microsoft Azure
Microsoft Azure Data Factory
Databricks
SQL Server Integration Services
Data warehousing
Google Analytics
Reporting
Troubleshoot
Python
Data modelling
Warehouse operations
Microsoft PowerShell
Troubleshooting
Programming languages
Oracle Java
Scala
Go
Onboarding
Computer science
Meet deadlines

Report this job