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Core Data Engineer Jobs (NOW HIRING)

Data Engineer

Mount Laurel, NJ

$113.40K - $136.20K/yr

Job Summary We are seeking a Senior Data Engineer with strong core engineering experience in building and supporting scalable, production-grade data platforms on Azure . The role requires deep hands ...

Data Engineer

Houston, TX · On-site

$109.30K - $131.30K/yr

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

Data Engineer - Jr.

Koloa, HI

$124.50K - $149.50K/yr

Proficiency in core data engineering programming languages, especially Python. * Experience with SQL and NoSQL database systems (e.g., PostgreSQL, MySQL, MongoDB, Elasticsearch). * Solid ...

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Data Engineer - Mid

Koloa, HI

$124.50K - $149.50K/yr

Proficiency in core data engineering programming languages, especially Python. * Experience with SQL and NoSQL database systems (e.g., PostgreSQL, MySQL, MongoDB, Elasticsearch). * Solid ...

Sr. Data Engineer

Lisle, IL · On-site

$112.90K - $135.60K/yr

Round 1: Virtual technical interview (SQL, Python, and core data engineering concepts) * Round 2: In-person technical and team interview (onsite participation required) EEO Employer Apex Systems is ...

New

Data Engineer - Mid

Koloa, HI

$124.50K - $149.50K/yr

Proficiency in core data engineering programming languages, especially Python. * Experience with SQL and NoSQL database systems (e.g., PostgreSQL, MySQL, MongoDB, Elasticsearch). * Solid ...

Staff Data Engineer (SDE-V) ID.me is seeking a Staff Data Engineer (SDE-V) to lead the design ... Own and operate core data infrastructure, including event streaming, relational database, and batch ...

Lead ML Data Engineer, AI Core

Concord, NC · On-site

$106.60K - $128.10K/yr

As a Machine Learning Engineer in AI Core, Data Intelligence, you'll work across a broad spectrum - from building scalable data infrastructure and feature pipelines that feed our state-of-the-art ...

Data Engineer

San Jose, CA · Remote

$134.20K - $161.10K/yr

Data Engineer Location: Cincinnati, USA Onsite/Remote: 100% Remote Key Responsibilities • Provide ... Leverage innovative technologies and approaches to modernize and extend core data assets, including ...

Data Engineer 324851 ***Max rate $80 ***Onsite in Baltimore, MD Data Engineer Job Summary : The ... Our team is responsible for developing and maintaining data pipelines that will create the core ...

Lead ML Data Engineer, AI Core

Miami, FL

$109.50K - $131.50K/yr

As a Machine Learning Engineer in AI Core, Data Intelligence, you'll work across a broad spectrum - from building scalable data infrastructure and feature pipelines that feed our state-of-the-art ...

Data Engineer

Manhattan, NY

$126.20K - $151.60K/yr

They're hiring a Data Engineer to help scale the core data infrastructure powering this system - handling large-scale, real-time data and enabling analytics, experimentation, and ML-driven insights.

AI Data Engineer

Manhattan, NY · Remote

$126.20K - $151.60K/yr

About the Role As an AI Data Engineer, you will support data science model validation, analytics ... You will work across core data streams, including discovery, imaging, clinical, and operational ...

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Sr. Data Engineer

Washington, DC · Hybrid

$129.60K - $155.70K/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

Manhattan, NY

$116.90K - $158.70K/yr

Improve the reliability, observability, and cost-efficiency of core Data Foundations systems. * Cross-Functional Delivery: Partner with Data Product and Engineering teams to ship scalable, production ...

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Data Platform Engineer

Jersey City, NJ

$119.50K - $143.50K/yr

Data Platform Engineer Location: Jersey City, NJ Key Responsibilities: * Data Pipeline ... Lead dbt Core implementation, including project structure, environments, and CI/CD integration

Sr. Data Engineer

Washington, DC · On-site

$129.90K - $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 ...

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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 Jun 3, 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 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 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 May 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.

$113.40K - $136.20K/yr

Other

Posted 22 days ago


Job description

Job Summary
We are seeking a Senior Data Engineer with strong core engineering experience in building and supporting scalable, production-grade data platforms on Azure. The role requires deep hands-on expertise in Apache Spark (Databricks), Python (PySpark), and modern data integration technologies. The candidate will work on enterprise-scale data pipelines, streaming solutions, and cloud-native architectures with a focus on performance, reliability, and automation.
Location
Mount Laurel, NJ
Experience
8-10 Years
Key Responsibilities
  • Design, develop, and maintain scalable data pipelines using Apache Spark (Databricks) and PySpark
  • Build and support production-grade data ingestion and processing solutions using Kafka (Confluent)
  • Integrate and manage data across Snowflake, SQL Server, Azure SQL, and Azure Synapse
  • Design and implement solutions using Azure Cosmos DB (mandatory hands-on)
  • Develop and orchestrate data workflows using Azure Data Factory (ADF)
  • Leverage Azure-native services such as Azure Databricks, Azure Blob Storage, and Azure DevOps
  • Implement and maintain CI/CD pipelines for data workflows and containerized deployments where applicable
  • Ensure performance tuning, monitoring, and reliability of data platforms in production
  • Collaborate with cross-functional engineering and analytics teams to deliver high-quality data solutions
Required Skills & Experience
  • 8+ years of core Data Engineering experience
  • Strong hands-on experience with Apache Spark (Databricks)
  • Strong hands-on experience with Python and PySpark
  • Production experience with Kafka (Confluent)
  • Hands-on experience with Snowflake
  • Experience with SQL Server, Azure SQL, and Azure Synapse
  • Mandatory experience with Azure Cosmos DB
  • Practical knowledge of the Azure ecosystem, including:
  • Azure Databricks
  • Azure Data Factory
  • Azure DevOps
  • Azure Blob Storage
  • Experience with CI/CD automation for data pipelines and containerized image deployments
Competencies
  • Digital: Python
  • Digital: Apache Spark
  • Digital: PySpark
  • Digital: Kafka
  • Digital: Snowflake
  • Digital: Azure Data Factory
Preferred Skills
  • Experience with containerization (Docker) and orchestration concepts
  • Exposure to streaming and real-time data architectures
  • Experience working in Agile delivery environments
  • Strong analytical, problem-solving, and communication skills