ZipRecruiter

Log In

1

Data Engineer Intermediate Jobs (NOW HIRING)

Edgesource

Data Engineer

Chantilly, VA · On-site

$117K - $140K/yr

Design and optimize data storage in AWS S3, including raw, intermediate, and final datasets ... Support feature engineering, aggregations, and transformations at scale. * Assist in deploying ML ...

Edgesource

Data Engineer

Centreville, VA · Hybrid

$113K - $136K/yr

Design and optimize data storage in AWS S3, including raw, intermediate, and final datasets ... Support feature engineering, aggregations, and transformations at scale. * Assist in deploying ML ...

Edgesource Corporation

Data Engineer

Chantilly, VA · On-site

$200K - $220K/yr

Design and optimize data storage in AWS S3, including raw, intermediate, and final datasets ... Support feature engineering, aggregations, and transformations at scale. * Assist in deploying ML ...

Edgesource

Data Engineer

Centreville, VA · On-site +1

$113K - $136K/yr

Design and optimize data storage in AWS S3, including raw, intermediate, and final datasets ... Support feature engineering, aggregations, and transformations at scale. * Assist in deploying ML ...

Edgesource

Data Engineer

Chantilly, VA · On-site

$117K - $140K/yr

Design and optimize data storage in AWS S3, including raw, intermediate, and final datasets ... Support feature engineering, aggregations, and transformations at scale. * Assist in deploying ML ...

HumCap, Inc.

Data Engineer

Dallas, TX

$113K - $136K/yr

... Engineer to join the Enterprise Reporting team. You'll build and maintain the data pipelines ... Experience building and maintaining dbt models (staging, intermediate, mart layers; tests ...

Privia Health

Data Engineer

$77K - $90K/yr

We are looking for a Data Engineer to join our Data Engineering team. You will design, build, and ... Write and maintain dbt models following established conventions (staging/intermediate/marts pattern)

Aldridge Electric, Inc.

Data Engineer

Libertyville, IL · On-site

$75K - $105K/yr

Data Engineer What we are looking for: Aldridge is seeking an experienced and dedicated Data ... intermediate models through mart-level transformations • Owning dbt project structure, macros ...

Select Minds LLC

Data Engineer

Dallas, TX · On-site

$60 - $65/hr

Inperson Job Summary Work with limited supervision to design, develop, and support data engineering ... Intermediate-level expertise in cloud infrastructure and Data Lake environments * Strong ETL ...

Smarty

Data Engineer

Orem, UT · On-site

$100/hr

We are looking for a skilled Data Engineer to join our Business Intelligence team at Smarty, a ... Solid SQL skills and comfort with data modeling concepts (staging, intermediate, fact/dimension ...

NAVA Software Solutions

Big Data Engineer

Atlanta, GA · On-site

$53.50 - $71/hr

Big Data Engineer Location: Atlanta GA - Hybrid Duration: 12 months The successful candidate must ... Strong SQL skills with ability to write intermediate complexity queries * Strong understanding of ...

Ford Motor Company

Data Engineer

Dearborn, MI · On-site

$115K - $192K/yr

Uniquely, this role bridges the gap between traditional data engineering and DevOps, as you will ... Intermediate Python Coding: Proficiency in writing clean, maintainable code for data manipulation ...

previous page

Showing results 41-60

All JobsData Engineer Intermediate Jobs

Data Engineer Intermediate information

See salary details

$44.5K

$129.7K

$177.5K

How much do data engineer intermediate jobs pay per year?

As of Aug 6, 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 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 is a data engineer intermediate?

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 are the key skills and qualifications needed to thrive as a data engineer intermediate?

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 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
Infographic showing various Data Engineer Intermediate job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

SETS - Systems Engineer - Intermediate (Temp)

Technology, Automation, and Management, Inc.

Mcconnell Air Force Base, KS • On-site

Other

Re-posted 28 days ago

Job description

This is a Temp position (6 months)The Systems Engineer Intermediate will be responsible for providing high-level systems analysis, evaluation, design, integration, documentation, and implementation of complex applications that require a thorough knowledge of administrative and technical skills. This role will support the Air National Guard (ANG) enterprise network and its integration with the Air Force Network (AFNET), contributing to the overall IT infrastructure revitalization and enterprise IT initiatives.Key Responsibilities: Perform high-level systems analysis, evaluation, design, integration, documentation, and implementation of complex applications. Develop detailed work plans, schedules, project estimates, resource plans, and status reports

Conduct project meetings and be responsible for project tracking and analysis. Ensure adherence to quality standards and review project deliverables. Manage the integration of vendor tasks and track and review vendor deliverables.

Provide technical and analytical guidance to project teams. Direct and participate in all phases of system development with emphasis on planning, analysis, evaluation, integration, testing, and acceptance phases (IV&V and DT&E). Provide technical support in the development of data migration strategies and the transition of legacy data to shared data environments.

Assist in the development of DODAF architecture Views and recommendations for system configuration management program improvements. Support the fielding of IT systems by defining the synchronization sequence of fielding tasks for planned IT deployments. Provide technical integration support for ANG stakeholders across the United States 54 states and territories.

Evaluate process models within a functional area to facilitate data model development and data integration. Develop, review, and update Independent Government Estimates (IGEs), Performance Work Statements (PWS), Statements of Work (SOW), and Evaluation Criteria. Assist in source selection advising and the development of acquisition strategies and evaluation plans.

Participate with a team of analysts supporting ANG acquisition activities, conducting evaluations, recommending management improvements, and implementing solutions. Anticipate potential chokepoints and identify workarounds. Monitor milestone schedule execution and author/review documents as necessary.

Provide advice and strategic planning assistance to management. Maintain historical acquisition documents and records.Position Responsibilities:Conducts complex systems analysis, design, integration, and implementation under general supervision. Utilizes advanced administrative and technical skills, focusing on planning, analysis, evaluation, and testing phases

Applies high-level principles to solve challenging technical problems, creating automated solutions.

Apply