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Data Solutions Developer Jobs in Irvine, CA (NOW HIRING)

Pwc

Data Engineer - Senior Manager

Irvine, CA · On-site

$124K - $280K/yr

... engineering focus on leveraging advanced technologies and techniques to design and develop ... robust data solutions for clients. They play a crucial role in transforming raw data into ...

Deloitte

Sr Databricks Data Engineer

Costa Mesa, CA · On-site

$122K - $147K/yr

This role offers the opportunity to deliver enterprise-scale Databricks solutions that improve ... Oversee the implementation of CI/CD practices with tools such as Azure DevOps, AWS Code Pipeline ...

Menlo Ventures

Data Engineer I

Laguna Beach, CA · On-site

$85 - $115/hr

Build and maintain data pipelines and data products and solutions using Python, SQL and modern ... Leverage AI‑assisted engineering tools to improve development and testing productivity

New

Hyundai MOBIS

Data Engineer III, Cloud

Fountain Valley, CA · On-site

$125K - $150K/yr

This role builds and manages data pipelines, data storage solutions, data processing frameworks ... The engineer will work closely with business analysts, Power BI developers, DBAs, and ...

Cotality

Principal, Data Engineer

Irvine, CA · On-site

Define and document solution architecture, technical designs, and requirements to support business objectives while balancing practical implementation and strategic vision * Provide technical ...

BALT Group

Sr Data Engineer

Irvine, CA · On-site

$122K - $147K/yr

The Data & AI Engineer at Balt is part of the Group Data division within the IT team and will ... Implement technical solutions for data collection, transformation, storage, and display, in ...

BALT Group

Sr Data Engineer

Irvine, CA · On-site

$122K - $147K/yr

The Data & AI Engineer at Balt is part of the Group Data division within the IT team and will ... Implement technical solutions for data collection, transformation, storage, and display, in ...

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Data Solutions Developer information

What are the key skills and qualifications needed to thrive as a Data Solutions Developer?

To thrive as a Data Solutions Developer, you need strong programming skills (such as Python, SQL, or Java), a solid understanding of data architecture, and typically a degree in computer science or a related field. Familiarity with data warehousing tools, ETL processes, cloud platforms (like AWS or Azure), and certifications such as Microsoft Certified: Azure Data Engineer Associate are highly valued. Analytical thinking, problem-solving, and effective communication help you collaborate with stakeholders and translate business requirements into technical solutions. These skills ensure the delivery of robust, scalable data solutions that drive informed decision-making and business success.

How does a Data Solutions Developer typically collaborate with data analysts and business stakeholders?

As a Data Solutions Developer, collaboration with data analysts and business stakeholders is integral to delivering effective data-driven solutions. You will frequently engage in requirements-gathering sessions to understand business needs, translate those needs into technical specifications, and iterate on data models or pipelines based on feedback. Regular meetings and clear communication are essential to ensure the solutions you develop align with business goals and analytics objectives. Additionally, you may provide technical guidance to analysts on data access or usage and help stakeholders interpret results from the systems you build.

What is the difference between Data Solutions Developer vs Data Engineer?

AspectData Solutions DeveloperData Engineer
Primary FocusDesigning and developing data solutions and applicationsBuilding and maintaining data pipelines and infrastructure
Skills & CertificationsSQL, programming, data modeling, cloud platformsETL, database systems, cloud services, scripting
Work EnvironmentCollaborates with data analysts, developers, and business teamsWorks on data architecture, infrastructure, and backend systems
Industry UsageUsed across industries for data application developmentPrimarily in data-heavy sectors like tech, finance, and healthcare

While both roles involve working with data, Data Solutions Developers focus on creating data applications and solutions, whereas Data Engineers concentrate on building the data infrastructure and pipelines. Understanding these differences helps in choosing the right career path or job role.

What does a data solutions developer do?

A data solutions developer designs, develops, and implements data management and analytics solutions to help organizations process and interpret large datasets. They often work with programming languages like SQL, Python, or Java, and use tools such as data warehouses and ETL processes to create efficient data workflows. Their role involves collaborating with stakeholders to understand data needs and ensuring solutions are scalable and secure.

What are popular job titles related to Data Solutions Developer jobs in Irvine, CA?

For Data Solutions Developer jobs in Irvine, CA, the most frequently searched job titles are:

What job categories do people searching Data Solutions Developer jobs in Irvine, CA look for?

The top searched job categories for Data Solutions Developer jobs in Irvine, CA are:

What cities near Irvine, CA are hiring for Data Solutions Developer jobs?

Cities near Irvine, CA with the most Data Solutions Developer job openings:

Data Solutions Developer jobs near you

Principal Data Engineer - AWS Cloud | Irvine, CA | 100% Onsite | Long Term Contract - AS

Central Business Solutions, Inc

Irvine, CA • On-site

$150 - $210/hr

Other

Re-posted 2 days ago

Job description

  • Irvine, CA
Job Title: Principal Data Engineer - AWS Cloud

Location: Irvine, CA (100% Onsite)

Duration: 12+ Months Contract

Candidates must be authorized to work in the United States without current or future employer sponsorship

In-Person Interview is Required.

Job Summary

We are seeking a highly skilled Senior Data Engineer with deep expertise in AWS Cloud to join a high-performing engineering team in Irvine, CA.

The ideal candidate will have extensive experience designing, building, and optimizing scalable cloud-based data platforms, Python, ETL pipelines, and big data solutions.

This is a hands-on engineering role requiring strong coding skills, cloud architecture knowledge, and experience working with large-scale data processing systems.

Aviation or Aerospace industry experience is a plus but not mandatory. Strong technical expertise is the primary hiring criterion.

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