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Core Data Engineer Jobs (NOW HIRING)

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 ...

Snowflake Data Engineer

San Antonio, TX · On-site

$104K - $125K/yr

The engineering team works in a hybrid setup (on-premise Linux and a major cloud provider) using ... Your main focus will be modeling raw core banking data landed in the warehouse, transforming it ...

Senior Data Engineer

San Francisco, CA · 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 ...

Data Engineer

Chapel Hill, NC · On-site

$115K - $145K/yr

Data Engineer Reporting To: Manager, Data Engineering Location: Chapel Hill, NC; Minneapolis, MN ... Configure, maintain, and extend core data platform and internal data administration tools.

Sr. Data Engineer

Washington, DC · On-site

$129K - $156K/yr

Details: Sr. Data Engineer Location: Washington DC (1-2 days/month onsite) / 100% remote is also ok ... Lead and participate in troubleshooting and fixing major system problems in core data systems and ...

Senior Data Engineer

Irvine, CA

$113K - $154K/yr

The Core Data team builds and scales the data platform and analytics capabilities that power ... As a Sr. Data Engineer, you will help us refactor and move the existing ETL/ELT and analytics ...

DataBricks Data Engineer

New York, NY

$125K - $150K/yr

Strong experience with core data engineering practices including data ingestion, transformation (ETL/ELT), data modeling, and pipeline orchestration. * Functional and technical experience with Sales ...

Senior Data Engineer

Irvine, CA

$113K - $154K/yr

The Core Data team builds and scales the data platform and analytics capabilities that power ... As a Sr. Data Engineer, you will help us refactor and move the existing ETL/ELT and analytics ...

Director, Core Data Management At Novartis, data is the foundation for better decisions ... Partner with data engineering and business teams to onboard and scale data products. * Oversee post ...

Strong understanding of data structures, algorithms, and core data engineering principles. * Detail-oriented with the ability to maintain accurate technical documentation, data lineage, and metadata.

The Role As a Data Engineer at Mill, you'll build and maintain the core data infrastructure that powers analytics and product data across the company - ingestion pipelines, warehouse modeling, data ...

As Director, Core Data Management, you will shape the future of enterprise data by establishing the ... Partner with data engineering and business teams to onboard and scale data products. * Oversee post ...

Data Engineer

$117K - $140K/yr

... our core data model, facilitating statistical analysis, model training, and dashboard creation ... Samsara engineers enjoy a rare closeness to the end user and you will have the opportunity to ...

The Role As a Data Engineer at Mill, you'll build and maintain the core data infrastructure that powers analytics and product data across the company - ingestion pipelines, warehouse modeling, data ...

Showing results 21-40

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 Sep 2, 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 is a core data engineer?

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 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 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 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 August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Engineer

Kanak Elite Services Inc

Houston, TX • On-site

$109K - $131K/yr

Contractor

Re-posted 6 days ago


Job description

Hello There,

Wish you a Happy Wednesday,

My name is Yashmita, and I am a Technical Recruiter at Kanak IT Services LLC. I am reaching out to you regarding the following job opportunity. If you are interested, kindly reply to this email yashmita@kanakits.com with your updated resume.  

TITLE: DATA ENGINEER III

CONTRACT LENGTH: 6 - 12 MONTH CONTRACT, LOOKING TO THEN CONVERT

ONSITE 5 DAYS A WEEK IN DOWNTOWN HOUSTON OFFICE. LOOKING FOR HOUSTON LOCAL TALENT. 

NEED SENIOR CANDIDATES 12+ – 15+ YEARS OF CANDIDATE

 Required Qualifications

  • 7–10+ years of experience in Data Engineering or closely related Software Engineering roles with a data focus.
  • Expert-level SQL development and data analysis skills, including advanced query optimization and debugging.
  • Strong Python engineering skills and familiarity with software design principles and patterns (e.g., SOLID), unit testing, refactoring, and version control.
  • Hands-on experience building ELT/ETL pipelines and orchestration with tools such as Astronomer/Airflow; proficiency with Git and CI/CD.
  • Deep understanding of core data engineering patterns: ingestion, transformation, modeling (dimensional/SCDs), and delivery.
  • Proven experience with database physical design including partitioning and effective partition key selection; exposure to clustering and micro-partitioning on MPP/cloud data platforms.
  • Experience implementing data quality frameworks, observability/monitoring, and robust operational SLAs.
  • Experience with Lakehouse table formats (Apache Iceberg/Delta/Hudi) and columnar storage (Parquet) on object storage (e.g., AWS S3).
  • Strong communication skills with the ability to present complex technical concepts to both technical and business stakeholders.

Preferred Qualifications

  • Experience optimizing Snowflake workloads (compute sizing, tasks/streams, clustering, micro-partitioning).
  • Experience with dbt, Data Build Tool, or similar for transformation and testing.
  • Experience with event streaming (Kafka/Kinesis/Flink) and API-based data integration.
  • Experience with data catalog, governance, and lineage platforms.
  • Domain experience in Oil & Gas midstream operations or industrial IoT/time-series data.