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Core Data Engineer Jobs (NOW HIRING)

Data Engineer

Glendale, CA · On-site

$121K - $145K/yr

Data Engineer Job Location: Glendale, CA Job Type: Full-Time ● Contribute to maintaining ... Core Data platform data pipelines ● Build tools and services to support data discovery, lineage ...

Senior Data Engineer

Glendale, CA

$112K - $152K/yr

Senior Data Engineer * Experience: 5-20 Years * Location: Glendale, USA * Job Type: Contract, On ... Contribute to maintaining, updating, and expanding existing Core Data platform data pipelines.

Data Engineer

Jersey City, NJ · On-site

$119K - $143K/yr

... Data Engineer with 8+ years of hands-on experience in enterprise data engineering, including deep ... Lead dbt Core implementation, including project structure, environments, and CI/CD integration

Senior Data Engineer

Glendale, CA

$112K - $152K/yr

Job Type: Full-time Must Haves: * 5+ years of Strong experience with Core Data Platform/Data Engineering. * Data Modeling (Dimensional Modeling, Normalization, OLTP vs. OLAP) * Python for data ...

Data Engineer

Davie, FL · On-site

$104K - $126K/yr

Data Engineer (Core Data Engineer role) 1 year assignment.(Temp to perm: Based on openings and performance) Davie, FL (Onsite) Shift: Monday - Friday 8:00am - 5:00pm, 40 hours a week Core Essential ...

Join Takeda as a Manager, Core Data Product Strategy, where you will support the design, build, and ... engineering, data modeling, or analytics in a matrixed environment. * Hands-on experience with ...

Lead Data Engineer

Manhattan, NY · Remote

$220K - $300K/yr

This role owns the technical direction for core data capabilities, including ETL/ELT, batch and ... Establish engineering standards, reusable patterns, and design principles that improve quality and ...

Lead Data Engineer

Manhattan, NY · On-site

$220K - $300K/yr

This role owns the technical direction for core data capabilities, including ETL/ELT, batch and ... Establish engineering standards, reusable patterns, and design principles that improve quality and ...

Senior Data Engineer

Palo Alto, CA · On-site

$124K - $169K/yr

Within Core Data, the Operational Insights team focuses on production environments: we turn rich ... As a Sr. Data Engineer, you will help build and operate the data foundation that powers analytics ...

New

AWS Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Skills and Requirements * 7+ years of experience with a core data engineering skillset leveraging AWS native technologies (AWS Glue, Python, Snowflake, S3, Redshift). * Experience in the design and ...

Sr Data Engineer

Los Angeles, CA · On-site

$1 - $2/hr

As a Sr Data Engineer you will play a pivotal role in building and maintaining the core data platform that powers world-class entertainment experiences for a globally recognized leader in the ...

Data Engineer

Glendale, CA · On-site

$121K - $145K/yr

Contribute to maintaining, updating, and expanding existing Core Data platform data pipelines ... Collaborate with other software/data engineers and cross-functional teams * Tech stack includes ...

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Deep understanding of core data engineering patterns: ingestion, transformation, modeling (dimensional/SCDs), and delivery. * Proven experience with database physical design including partitioning ...

Senior Data Engineer

Denver, CO · On-site

$170K - $220K/yr

As a Sr. Data Engineer on our data team, you will be building out the core data asset that everything else at Windfall is built on top of. Communication and collaboration are at the heart of Windfall ...

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Showing results 1-20

Core Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do core data engineer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for core data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What are some common challenges Core Data Engineers face when optimizing data pipelines?

Core Data Engineers often encounter challenges such as handling large volumes of data, ensuring data quality, and minimizing pipeline latency. Balancing data consistency with system performance can be complex, especially as data sources and user demands scale. Collaboration with data analysts, data scientists, and other engineers is crucial to ensure that data pipelines align with business goals and remain efficient. Adapting to evolving technologies and troubleshooting unexpected bottlenecks are also regular parts of the role.

What are the key skills and qualifications needed to thrive as a Core Data Engineer, and why are they important?

To thrive as a Core Data Engineer, you need expertise in data modeling, database management, and programming languages such as SQL, Python, or Java, often supported by a degree in computer science or a related field. Familiarity with big data technologies like Hadoop, Spark, and cloud platforms, along with certifications in data engineering or cloud services, is typically required. Strong problem-solving skills, attention to detail, and effective communication help you excel in collaborating with cross-functional teams and addressing complex data challenges. These skills and qualities are crucial for designing scalable data solutions and ensuring reliable, high-quality data infrastructure that supports business objectives.

What are Core Data Engineers?

Core Data Engineers are technology professionals who design, build, and maintain the foundational data infrastructure within an organization. They focus on developing data pipelines, ensuring data integrity, and optimizing systems for collecting, storing, and processing large volumes of data. Their work enables data scientists, analysts, and other teams to access reliable, high-quality data for decision-making. Core Data Engineers often work with big data technologies, databases, and cloud platforms to support scalable data solutions.

What is the difference between Core Data Engineer vs Data Engineer?

AspectCore Data EngineerData Engineer
Required CredentialsBachelor's in Computer Science, Data Science, or related field; experience with data pipelines and databasesBachelor's in Computer Science, Data Science, or related field; strong programming and database skills
Work EnvironmentFocus on building and maintaining core data infrastructure, ETL processes, and data storage systemsDesigning, developing, and managing data pipelines, analytics, and data integration across systems
Employer & Industry UsageTech companies, finance, healthcare, and any industry with large-scale data needsSimilar industries, often overlapping with core data roles but broader in scope

Core Data Engineers specialize in developing and maintaining the foundational data infrastructure, while Data Engineers may have a broader role including data analysis and pipeline development. Both roles require similar skills and often work in the same industries, but Core Data Engineers focus more on the core systems that support data analytics and storage.

More about Core Data Engineer jobs
Infographic showing various Core Data Engineer job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Senior Core Data Engineer

Senior Core Data Engineer

SA Technologies Inc.

San Francisco, CA

$124K - $169K/yr

Other

Re-posted 17 days ago


Job description

Company Description

SA Technologies Inc. (www.satincorp.com) is a market leader and one of the fastest growing IT consulting firms with operations in US, Canada, Mexico & India. SAT is an Oracle Gold Partner, SAP Services Partner & IBM Certified enterprise.

All SA Technologies requirements are Direct Client Requirements from IT Hiring Managers. We guarantee you the best rate for your skills and performance.



Job Description

Position: Senior Core Data Engineer

Location: SFO, CA

Duration: 12 Months 

Ideal candidate:

Solid Java programmer who has production-level hands-on experience on Hadoop MapReduce and HBase or Cassandra database.


Examples of previous project experience we are looking for 

* ingested large amount of raw data (web logs, web pages, data feeds, ... )

* run Hadoop map reduce jobs to parse them and process them. (simple reporting, machine learning, ...)

* loaded the outcome to NoSQL database (HBase / Cassandra) and served them to other applications (live website traffic, other internal tools, ... )


Technologies that are a must

* Programming language -- Java

* Batch processing -- Hadoop MapReduce

* Stream processing -- Apache Storm

* NoSQL -- HBase, Cassandra

* Restful web services -- Spring boot, Jackson

* Code/Build/Deployment -- git, maven, jenkins


Technologies that would get our attention....

*Programming lang: Python, Scala, Shell scripting

*Batch Processing: Cascading/Scalding, Apache Spark  

* Stream processing -- AKKA, Samza, Spark streaming

* NoSQL -- MongoDB, Riak, ... 

* Restful web services -- DropWizard, Jersey, , GSON 

* Code/Build/Deployment -- hg, svn, sbt, bamboo, ...


Additional Information

All your information will be kept confidential according to EEO guidelines.