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Data Engineer Intermediate Jobs (NOW HIRING)

CAYS Inc

Data Engineer

Jersey City, NJ

$119.50K - $143.50K/yr

Design and maintain robust dbt models (staging, intermediate, marts) following analytics engineering best practices * Implement dbt tests, documentation, macros, and incremental models to ensure data ...

Navtech, Inc.

Data Engineer

Loudoun, VA · On-site

$129.70K - $155.70K/yr

Data Engineer Job Location: Reston, VA(100% Remote)(Non-Locals also will work) Position Type ... Ability to write intermediate to advanced SQL/Python for data ingestion and processing. * Support ...

Synergyassure, Inc

ESRI Data Engineer

Houston, TX · On-site

$109.30K - $131.30K/yr

Intermediate software development experience (frontend & backend knowledge) * intermediate geospatial skills (spatial data format, coordinate system, ArcGIS) We are seeking a hands-on Data Engineer ...

New

Kforce Technology Staffing

Data Engineer

Juno Beach, FL · On-site

$111.90K - $134.40K/yr

As a Data Engineer, you will apply basic to intermediate machine learning techniques where applicable * Experiment with and support LLM-based solutions (prompting, embeddings, APIs) as needed

Curana Health, Inc.

$114.40K - $137.40K/yr

The ideal candidate is familiar with healthcare data standards, has intermediate engineering skills, and the ability to operate in a highly regulated, fast-paced environment. Essential Duties ...

Right Skale, Inc.

Sr Data Engineer

Fremont, CA · On-site

$146.80K - $176.30K/yr

Sr Data Engineer - Contract (W2 Only) - 3 days Hybrid (Fremont, CA) **You must be a local to the ... Intermediate knowledge of Power BI. * Azure DevOps and CI/CD deployments, Cloud migration ...

CEDENT

Azure Data Engineer

Houston, TX

$109.30K - $131.30K/yr

Job Title:- Azure Data Engineer Location:- Spring Texas (On-Site) Need Only Local to Houston, TX ... Intermediate * Databricks * Airflow

Penn State University

Data Engineer

University Park, PA · On-site

$86.30K - $164K/yr

We are seeking a talented, experienced, and highly-motivated Data Research Engineer to join the ... the Intermediate Professional or Advanced Professional level, depending upon the successful ...

The Pennsylvania State University

$86.30K - $164K/yr

Coordinate Data Engineering related research and development activities between disciplines ... the Intermediate Professional or Advanced Professional level, depending upon the successful ...

Indigo IT LLC

Systems Engineer- Intermediate

Ashburn, VA · On-site

$80K - $100K/yr

Systems Engineer- Intermediate Ashburn, VA (hybrid telework and occasional onsite) POSITION SUMMARY ... Strong analytical skills with the ability to analyze data sets to determine trends and identify ...

Simplot Company

Data Engineer III

Boise, ID · On-site

$109K - $130.90K/yr

SummaryThis role applies intermediate to advanced data engineering principles, theories, and concepts to solve a range of data and platform challenges of varying complexity. The Data Engineer III ...

Logix Guru

Sr. Data Engineer

$117.20K - $140.70K/yr

Intermediate experience and skills around Azure Cloud Technologies (Azure Data Factory) * Source ... Comfortable in a scrum team environment - (4 analysts, 4 engineers) * Self Starter

New

Simplot

Data Engineer III

Boise, ID

$109K - $130.90K/yr

Summary This role applies intermediate to advanced data engineering principles, theories, and concepts to solve a range of data and platform challenges of varying complexity. The Data Engineer III ...

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All JobsData Engineer Intermediate Jobs

Data Engineer Intermediate information

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$44.5K

$129.7K

$177.5K

How much do data engineer intermediate jobs pay per year?

As of May 29, 2026, the average yearly pay for data engineer intermediate 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 Data Engineer Intermediate, and why are they important?

To thrive as a Data Engineer Intermediate, you need strong programming skills in languages like Python or Java, experience with database systems (SQL/NoSQL), and a solid understanding of data modeling, ETL processes, and data warehousing concepts. Familiarity with tools such as Apache Spark, Hadoop, Airflow, and cloud platforms like AWS or Azure, as well as relevant certifications, is highly valued. Excellent problem-solving abilities, attention to detail, and clear communication skills help set candidates apart in this role. These competencies ensure efficient data pipeline development, reliable data infrastructure, and effective collaboration with data teams and stakeholders.

What are some common challenges Data Engineer Intermediates face when working with large-scale data pipelines?

As a Data Engineer Intermediate, you may frequently encounter challenges related to maintaining data quality and consistency across multiple sources, optimizing ETL processes for performance, and ensuring data pipelines are scalable to handle increasing data volumes. Troubleshooting data latency issues and managing dependencies between data sets are also common hurdles. Collaborating closely with data analysts, data scientists, and other engineers is essential to address these challenges and deliver reliable, high-quality data solutions.

What are Data Engineer Intermediates?

A Data Engineer Intermediate is a professional who designs, builds, and maintains data pipelines and architectures, typically with a few years of experience in the field. They are responsible for collecting, transforming, and storing data in ways that make it accessible and usable for analytics and business intelligence. Intermediate data engineers often work with tools like SQL, Python, ETL frameworks, and cloud platforms. They collaborate with data scientists, analysts, and other engineers to ensure data quality and optimize data workflows. This role requires a good understanding of data modeling, database systems, and data integration techniques.

What is the difference between Data Engineer Intermediate vs Data Engineer Junior?

AspectData Engineer IntermediateData Engineer Junior
Required CredentialsBachelor's in CS, experience with SQL, Python, ETL toolsEntry-level, basic knowledge of SQL and scripting
Work EnvironmentCollaborates on complex data pipelines, supports data architectureAssists in data tasks, learns from senior engineers
Employer & Industry UsageUsed in tech, finance, healthcare sectors for data projectsCommon in similar industries as entry-level role
Comparison Search IntentUnderstanding role progression, skills requiredEntry-level position, learning expectations

The main difference between Data Engineer Intermediate and Data Engineer Junior lies in experience, skill level, and responsibilities. Intermediate engineers handle more complex data pipelines and support data architecture, while junior engineers focus on learning foundational skills and assisting senior staff. This distinction helps employers and candidates understand career progression and required competencies.

What cities are hiring for Data Engineer Intermediate jobs? Cities with the most Data Engineer Intermediate job openings:
What are the most commonly searched types of Data Engineer jobs? The most popular types of Data Engineer jobs are:
What states have the most Data Engineer Intermediate jobs? States with the most job openings for Data Engineer Intermediate jobs include:
Data Engineer Intermediate jobs near you
Data Engineer

Data Engineer

CAYS Inc

Jersey City, NJ

$119.50K - $143.50K/yr

Other

Posted just now

Job description

Must have:
-Python
-Apache Airflow/DBT
-Communication, both written & verbal
-Kubernetes
-OpenShift
-8+ years of experience

Job Description

We are seeking a highly skilled Senior Data Engineer with 8+ years of hands-on experience in enterprise data engineering, including deep expertise in Apache Airflow DAG development, dbt Core modeling and implementation, and cloud-native container platforms (Kubernetes / OpenShift).

This role is critical to building, operating, and optimizing scalable data pipelines that support financial and accounting platforms, including enterprise system migrations and high-volume data processing workloads.

The ideal candidate will have extensive hands-on experience in workflow orchestration, data modeling, performance tuning, and distributed workload management in containerized environments.

Key Responsibilities:

Data Pipeline & Orchestration

  • Design, develop, and maintain complex Airflow DAGs for batch and event-driven data pipelines
  • Implement best practices for DAG performance, dependency management, retries, SLA monitoring, and alerting
  • Optimize Airflow scheduler, executor, and worker configurations for high-concurrency workloads

dbt Core & Data Modeling

  • Lead dbt Core implementation, including project structure, environments, and CI/CD integration
  • Design and maintain robust dbt models (staging, intermediate, marts) following analytics engineering best practices
  • Implement dbt tests, documentation, macros, and incremental models to ensure data quality and performance
  • Optimize dbt query performance for large-scale datasets and downstream reporting needs

Cloud, Kubernetes & OpenShift

  • Deploy and manage data workloads on Kubernetes / OpenShift platforms
  • Design strategies for workload distribution, horizontal scaling, and resource optimization
  • Configure CPU/memory requests and limits, autoscaling, and pod scheduling for data workloads
  • Troubleshoot container-level performance issues and resource contention

Performance & Reliability

  • Monitor and tune end-to-end pipeline performance across Airflow, dbt, and data platforms
  • Identify bottlenecks in query execution, orchestration, and infrastructure
  • Implement observability solutions (logs, metrics, alerts) for proactive issue detection
  • Ensure high availability, fault tolerance, and resiliency of data pipelines

Collaboration & Governance

  • Work closely with data architects, platform engineers, and business stakeholders
  • Support financial reporting, accounting, and regulatory data use cases
  • Enforce data engineering standards, security best practices, and governance policies

Required Skills & Qualifications:

Experience

  • 10+ years of professional experience in data engineering, analytics engineering, or platform engineering roles
  • Proven experience designing and supporting enterprise-scale data platforms in production environments

Must-Have Technical Skills

  • Expert-level Apache Airflow (DAG design, scheduling, performance tuning)
  • Expert-level DBT Core (data modeling, testing, macros, implementation)
  • Strong proficiency in Python for data engineering and automation
  • Deep understanding of Kubernetes and/or OpenShift in production environments
  • Extensive experience with distributed workload management and performance optimization
  • Strong SQL skills for complex transformations and analytics

Cloud & Platform Experience

  • Experience running data platforms on cloud environments
  • Familiarity with containerized deployments, CI/CD pipelines, and Git-based workflows

Preferred Qualifications

  • Experience supporting financial services or accounting platforms
  • Exposure to enterprise system migrations (e.g., legacy platform to modern data stack)
  • Experience with data warehouses (Oracle)
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About CAYS

Sourced by ZipRecruiter

CAYS – Consulting At Your Service, is a global Information Technology company that offers a portfolio of IT and consulting services to Fortune 500 companies allowing the companies to focus on their core business while we deliver quality services with significant cost savings. At CAYS, we believe in the concept of ‘for the people, by the people’. Our strength and success are built ‘by the people’ who work for us and deliver services ‘for the people’ who are our Clients who believe in us. We create an impact on our clients by addressing their current problems and provide leverage by foreseeing their future problems and providing effective solutions to them using our state-of-the-art technology and quality workforce. People from all cultures collaborate and work together providing a healthy and long-lasting working environment that helps retain good and exceptional talent.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

El Segundo, CA, US

Year founded

2015

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