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Ibm Data Engineer Jobs in California (NOW HIRING)

ITC Infotech (USA), Inc

Sr. Data Engineer

Sacramento, CA · On-site

$124K - $149K/yr

Role - Sr. Data Engineer Location - Sacramento, CA Start Date - Immediate Duration - Long Term A ... Python for Analytics IBM Professional Skills * Python, SQL * Power Automate * GPT 3.0-based AI ...

Jobsbridge

Big Data Developer

Glendale, CA · On-site

$56.25 - $72.75/hr

Skill Big Data Developer Java Hadoop DaaS Java Hadoop / Hive / MapReduce / Pig / Sqoop / Flume SQL ... with IBM Watson Explorer or Apache Solr is a plus Ability to work independently with limited ...

Saxon Global

ETL DataStage Consultant

Oakland, CA · On-site

... IBM data warehouse environment Company : Saxon Global is an IT consulting and engineering solution company. Founded in 2008, the company is headquartered in Irving, USA, with a team of 201-500 ...

Saxon Global

ETL DataStage Consultant

Oakland, CA · On-site

... IBM data warehouse environment Qualifications * Minimum five years' experience in data related work with at least 2 years' experience on UNIX / Shell scripting and as a senior ETL analyst / developer ...

Lightedge

IBM Architect

San Diego, CA

$67 - $88/hr

Bachelor's degree in Computer Science, Information Technology, Engineering, or equivalent ... Our solutions include premier colocation across seven purpose-built data centers spanning Des ...

Lightedge

IBM Architect

San Diego, CA

$67 - $88/hr

Bachelor's degree in Computer Science, Information Technology, Engineering, or equivalent ... Our solutions include premier colocation across seven purpose-built data centers spanning Des ...

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All JobsIbm Data Engineer JobsIbm Data Engineer Jobs in California

Ibm Data Engineer information

See California salary details

$43.9K

$128K

$175.2K

How much do ibm data engineer jobs pay per year?

As of Jul 27, 2026, the average yearly pay for ibm data engineer in California is $128,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,000.00 and $135,700.00 per year, depending on experience, location, and employer.

Can I make 200K as a data engineer?

Senior IBM Data Engineers with extensive experience, advanced skills in cloud platforms, big data tools, and certifications can potentially earn salaries around or above $200,000 annually, especially in high-cost-of-living areas. Entry-level or mid-level data engineers typically earn less, with salaries increasing based on expertise, location, and industry demand.

What is an IBM Data Engineer job?

An IBM Data Engineer is responsible for designing, building, and managing data pipelines and architectures to support data-driven decision-making. They work with data integration, ETL processes, cloud platforms, and big data technologies to ensure efficient data flow. IBM Data Engineers collaborate with data scientists, analysts, and business stakeholders to optimize data accessibility and performance. Their role often involves using IBM technologies such as IBM Cloud, Db2, and Watson Studio to implement scalable data solutions. Strong skills in SQL, Python, and data modeling are essential for success in this role.

What are typical day-to-day tasks for an IBM Data Engineer?

As an IBM Data Engineer, your daily responsibilities often include designing and building data pipelines, integrating data from various sources, and ensuring the reliability and quality of data architecture. You may work closely with data scientists, analysts, and business stakeholders to understand requirements and optimize data workflows. Regular tasks involve maintaining and troubleshooting ETL processes, performing data validation, and documenting solutions. Collaboration within agile teams is common, and staying updated on IBM technologies and best practices is critical for ongoing success.

Is IBM a good company for data engineers?

IBM is a well-established technology company that employs data engineers to work on large-scale data projects, often involving cloud platforms, AI, and analytics tools. The company offers opportunities for skill development in areas like data pipelines, SQL, and cloud certifications, making it a reputable employer for data engineering roles.

How much does a data engineer at IBM make?

A data engineer at IBM typically earns between $90,000 and $130,000 annually, depending on experience, location, and skill level. Salaries can vary based on certifications, such as cloud or big data tools, and the complexity of projects handled.

What are the key skills and qualifications needed to thrive in the Ibm Data Engineer position, and why are they important?

To thrive as an IBM Data Engineer, you need strong proficiency in data modeling, ETL processes, and SQL or Python programming, typically supported by a bachelor’s degree in computer science, engineering, or a related field. Expertise with IBM data tools like IBM DataStage, IBM Cloud Pak for Data, and knowledge of big data platforms such as Hadoop or Spark, along with relevant IBM certifications, are highly valuable. Effective problem-solving abilities, attention to detail, and collaboration skills help you excel in cross-functional teams and adapt to evolving project needs. These skills and qualities are essential for designing robust data pipelines and delivering reliable, enterprise-level data solutions.

Is it hard to get hired by IBM?

Getting hired as an IBM Data Engineer can be competitive, requiring strong technical skills in data processing, programming, and cloud platforms like IBM Cloud or AWS. Candidates often need relevant experience, certifications, and a solid understanding of data architecture to improve their chances.
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Ibm Data Engineer jobs near you
Infographic showing various Ibm Data Engineer job openings in California as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $128,018 per year, or $61.5 per hour.
IBM DataStage Data Engineer

IBM DataStage Data Engineer

Stanfield Systems, Inc.

Sacramento, CA • On-site

$55 - $65/hr

Other

Posted 2 days ago

Job description

Description 
Job Title: IBM DataStage Data Engineer
Experience: 5 -7 years 
Start Date: 8/31/2026
Type: W2 Employee
Location:  MUST BE Local to the Sacramento, CA region and be available to work onsite, although the position is mostly remote work currently.  Office hours are between the hours of 8am and 5pm Monday through Friday. 
Compensation: DOE and compensation package of benefits.  Range of W2 Salaried $100K - 110K, W2 hourly $55-65/hr. (Open to negotiate based on experience)
 
Pre-employment Requirements:  Professional References, I-9 Employment eligibility, Successful criminal background and drug screen.   Stanfield Systems does not sponsor Visa holding candidates.
If you meet and exceed the following skills sets, please respond with your full contact information, resume, date available and desired compensation target amount and arrangement and Apply at  on the Career Page, Job ID 4327 or email your resume and contact information to  with “IBM DataStage Data Engineer for 4327” in the subject line 
Responsibilities:
·        Design, develop, and maintain ETL pipelines using IBM DataStage
·        Build and optimize parallel jobs, server jobs, and sequences
·        Work with source-to-target mappings, data transformations, and business rules
·        Collaborate with Tech leads and analysts to understand data requirements
·        Perform unit testing, debugging, and performance tuning of DataStage jobs
·        Support data migration, integration, and warehouse loading activities
·        Manage job scheduling and monitoring via DataStage Director/Control Center
Required Skills:
·        Strong hands-on experience with IBM DataStage (Parallel Extender/PX)
·        Proficiency in complex SQL and data transformation logic
·        Experience with data warehousing concepts (Star/Snowflake schema, SCD types)
·        Knowledge of Unix/Linux shell scripting
·        Familiarity with job scheduling tools (Control-M, AutoSys)
·        Experience with QualityStage
Teradata Skills (Additional):
·        Working knowledge of Teradata SQL and utilities (BTEQ, FastLoad, MultiLoad, TPT)
·        Experience loading/extracting data from Teradata using DataStage connectors
·        Basic understanding of Teradata architecture and performance tuning
Good to Have:
·        Experience with Mainframes/ COBOL, JCL
·        Knowledge of metadata management and data lineage tools
·        Medicaid knowledge
 
Questions:  Answers to be submitted with application
  1. How many years of experience working on State of California government projects?
  2. How many State of California government proposals have you been submitted to in the past 5 years roughly?
  3. What are the largest data integration or ETL projects you have worked on in the past five years involving IBM DataStage (Parallel Extender/PX)? Please describe the project size, duration, your role, and your key responsibilities, including DataStage PX development, complex SQL and data transformation logic, data warehousing concepts (Star/Snowflake schema, SCD types), Unix/Linux shell scripting, job scheduling tools such as Control-M or AutoSys, and any experience with QualityStage.
     
Stanfield Systems Inc. is an equal opportunity employer and does not discriminate against race, color, sex, national origin, religion, age, equal pay, disability or genetic information.   Some positions posted by our company will require an individual to pass a thorough criminal background check, drug screen and may require the ability to obtain various national security clearance levels. Demonstrates proficiency with on-line search engines and/or sophisticated searching strategies. More desirable if familiar with searching job boards, for sourcing & recruiting candidates and posting positions/information to the web.

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