ZipRecruiter

Log In

1

Core Data Engineer Jobs (NOW HIRING)

Vital Services

Senior Data Engineer

Oak Ridge, TN · On-site +1

$110K - $130K/yr

As a Senior Data Engineer, you will work closely with our customer's department leads and project ... The core focus of this role is to architect, build, and optimize robust data pipelines and storage ...

MDMS Recruiting

Databricks Data Engineer

Manhattan, NY · On-site

$126K - $151K/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 ...

Hinshaw & Culbertson

Lead Data Engineer

Chicago, IL · On-site +1

$140K - $180K/yr

This role owns core data pipelines, data models, and production data operations, and establishes engineering standards that improve reliability, data quality, and delivery speed. The Lead Data ...

ISHIR

Snowflake Data Engineering Consultant

San Antonio, TX · On-site +1

$103K - $124K/yr

We are seeking an experienced Analytics/Data Engineer with strong expertise in Snowflake, SQL, dbt ... Skilled in modeling core banking data, integrating ancillary sources and API payloads, developing ...

Qode

AWS Data Engineer

CO · On-site +1

$114K - $137K/yr

... core data engineering skillset leveraging AWS native technologies (AWS Glue, Python, Snowflake, S3, Redshift). • Experience in the design and development of robust and scalable data pipelines ...

Lyra Health

Sr. Data Engineer

$128K - $176K/yr

Join a team of innovative engineers building and scaling the core data infrastructure, pipelines, and services that power our products * Design and implement a robust data warehouse to support a wide ...

Paramount

Sr Data Engineer

Fort Lauderdale, FL · On-site

$116K - $153K/yr

Senior Data Engineer Role Details: We are looking for a talented senior data engineer specializing ... Designing and building out a core data layer to power all CBS Sports Digital products, ingesting ...

ISHIR

Snowflake Data Engineering Consultant

San Antonio, TX · On-site

$103K - $124K/yr

We are seeking an experienced Analytics/Data Engineer with strong expertise in Snowflake, SQL, dbt ... Skilled in modeling core banking data, integrating ancillary sources and API payloads, developing ...

AEG

Data Engineer

White Plains, NY · On-site

$118K - $142K/yr

Data Engineer Reports to: VP, Data & Business Intelligence Location: White Plains, NY (Hybrid ... Operate and maintain core data flows. * Monitor the ETL/ELT and reverse-ETL pipelines that move ...

Qode

AWS Data Engineer

CO · On-site +1

$114K - $137K/yr

Skills and Requirements • 10+ years' experience with a core data engineering skillset leveraging AWS native technologies (AWS Glue, Python, Snowflake, S3, Redshift). • Experience in the design ...

BeyondTrust

Sr Data Engineer

Johns Creek, GA · On-site +1

$98K - $133K/yr

Senior Data Engineer (Req # 3389121) Data Engineers at BeyondTrust are the backbone of the company's core data infrastructure that powers all analytics products running on our SaaS platform. Leverage ...

Vital IT Services

Senior Data Engineer (Remote)

Allen, TX · Remote

$110K - $130K/yr

As a Senior Data Engineer, you will work closely with our customer's department leads and project ... The core focus of this role is to architect, build, and optimize robust data pipelines and storage ...

previous page

Showing results 41-60

All JobsCore Data Engineer Jobs

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

What job categories do people searching Core Data Engineer jobs look for?

The top searched job categories for Core Data Engineer jobs are:

Core Data Engineer jobs near you
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.

Senior Data Engineer

Vital Services

Oak Ridge, TN • On-site, Remote

$110K - $130K/yr

Full-time

Posted 13 days ago

Job description

Summary
Vital Services is seeking a talented and experienced Senior Data Engineer to join our growing Information Technology team. This is an extraordinary opportunity to be a part of, and play an integral role in, the development of our Data & Reports team!
As a Senior Data Engineer, you will work closely with our customer's department leads and project coordinators to evaluate business needs and develop reports and dashboards to support strategic goals. The core focus of this role is to architect, build, and optimize robust data pipelines and storage solutions that ensure secure, high-performance data delivery, reporting accuracy, and seamless data synchronization across multiple core systems. You will also collaborate with other members of the Data and Information Technology teams to plan, design, develop, test, and deploy business intelligence data solutions.
The core focus of this role is to architect, build, and optimize robust data pipelines and storage solutions that ensure secure, high-performance data delivery, reporting accuracy, and seamless data synchronization across multiple core systems. A successful candidate will understand and fulfil their responsibility to develop and support databases, data structures, and data flow, with a focus on data integrity and reliability.
Responsibilities of the Senior Data Engineer Include:
In our organization, success in this seat means own-and-deliver execution on these five core areas:
  • Pipeline Architecture & ETL/ELT Execution: Design, build, and maintain scalable data infrastructure and automated pipelines to ingest, transform, and move high-volume data securely.
  • Database & Schema Modeling: Define and optimize data models, relational/non-relational database structures, and query performance to support reporting and operational applications.
  • Data Integrity & Governance: Own the monitoring and validation of data flows to ensure complete accuracy, quality, and compliance.
  • Complexity & Integration Management: Map out and resolve data dependencies across disparate external APIs, legacy databases, and cloud infrastructure, translating data "unknowns" into structured execution plans.
  • Operational Discipline & Reporting Support: Partner with the data and development teams to ensure pristine task estimating, technical documentation, and delivery data updates.
Skills & Experience of the Senior Data Engineer Include:
  • Experience: 5+ years of dedicated data engineering experience working with large-scale production databases and high-compliance distributed data environments.
  • Data & API Engineering: Proven mastery in building complex data pipelines, working with heavy data orchestration tools, and extracting data from complex third-party API networks.
  • Advanced Database Knowledge: Deep expertise in SQL/NoSQL query tuning, data warehousing principles, schema evolution, and index optimization.
  • Cloud Infrastructure: Hands-on experience with cloud data storage architectures (e.g., AWS, Azure) and modern practices for data pipelines.
  • Problem-Solving under Complexity: A clear track record of debugging mismatched data architectures, handling breaking schema changes, and optimizing slow, multi-system data jobs.
Measurables of the Senior Data Engineer:
To give you complete transparency, here are the numbers this role is accountable for keeping "in the green":
  • Pipeline Success Rate: Greater than 99% uptime and successful execution on automated core data pipelines.
  • Sprint Say/Do Ratio: Greater than 80% predictability on committed sprint tasks and complexity points.
  • Jira & Documentation Hygiene: 100% weekly compliance on task logging, estimation, and database schema documentation in Confluence.
Qualifications of the Senior Data Engineer:
  • A minimum of 5 years of experience in data engineering, analytics, or reporting roles.
  • At least 3 years of work experience in Business Intelligence is preferred.
  • Bachelor's degree in Mathematics, Economics, Computer Science, or other quantitative degrees preferred.
  • Strong knowledge of SQL, SSRS, MS Excel, Power BI, Oracle, Tableau, and other Business Intelligence tools.
  • Knowledgeable and experienced with different data sources, such as, MS SQL, Excel files, Azure SQL, Azure Cosmos DB, AS400, DB2, and Cloud Data Sources.
  • Deep understanding of SQL databases and query language.
  • Advanced Excel skills.
  • Familiarity with data storage, retrieval, and manipulation methods within both relational and non-relational database architectures.
  • Knowledge and experience in the Commercial (P&C) Insurance industry is a plus.
Compensation & Culture
  • Salary Range: $110,000 - $130,000
    • Final offer will be commensurate with experience and technical assessment results.
  • Hybrid Flexibility: We value our in-office culture, but offer a flexible hybrid schedule based on team project needs rather than a rigid "clock-in" or "in-office" requirement.
  • Growth Path: This position was opened due to new client projects and initiatives. As we provide white-glove MSP and SaaS services to our clients, this allows their businesses to grow and in turn allows us to grow. We invest in our employees and our client relationships, which has allowed us to continue to scale up and increase our capacity and growth trajectory.

Apply