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Data Engineer Intermediate Jobs (NOW HIRING)

Lorven Technologies

Data Engineer

Los Angeles, CA · On-site +1

$123K - $148K/yr

Data Engineer Location: California - Remote Duration: 6+ Months Contract The Senior Data Engineer ... Intermediate experience in RESTful APIs, messaging systems, and AWS or Microsoft Azure. * Extensive ...

CEDENT

Azure Data Engineer

Houston, TX

$109K - $131K/yr

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

GP Fund Solutions

Data Engineer

Latham, NY

$95K - $115K/yr

Data Engineer - GP Fund Solutions Where Data Meets Decision-Making. We turn numbers into insights ... intermediate, mart, and semantic layers, following established project structure, testing, and ...

GP Fund Solutions

Data Engineer

Latham, NY · On-site

$95K - $115K/yr

Data Engineer GP Fund Solutions Where Data Meets Decision-Making. We turn numbers into insights ... intermediate, mart, and semantic layers, following established project structure, testing, and ...

GP Fund Solutions

Data Engineer

Latham, NY · On-site

$95K - $115K/yr

Data Engineer - GP Fund Solutions Where Data Meets Decision-Making. We turn numbers into insights ... intermediate, mart, and semantic layers, following established project structure, testing, and ...

Edgesource Corporation

Data Engineer

Chantilly, VA · On-site

$118K - $142K/yr

They are seeking a data engineer to support data structuring for implementation into a larger ... raw, intermediate, and final datasets. • Implement data governance practices, including ...

Edgesource Corporation

Data Engineer

Chantilly, VA · On-site

$118K - $142K/yr

They are seeking a data engineer to support data structuring and development for a large enterprise ... raw, intermediate, and final datasets. • Implement data governance practices, including ...

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 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 · 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

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 ...

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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 Jul 17, 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 is an intermediate data engineer?

An intermediate data engineer is a professional who designs, builds, and maintains data pipelines and infrastructure, typically with several years of experience. They are proficient in tools like SQL, Python, and cloud platforms, and often work on optimizing data workflows and ensuring data quality. This role requires a solid understanding of data modeling, ETL processes, and basic knowledge of distributed systems.

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 engineer makes 500,000 a year?

Senior data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such roles often require strong programming, data architecture, and leadership capabilities, along with relevant certifications and a track record of managing complex data systems.

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 engineers make 300,000 a year?

Senior data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn salaries of $300,000 or more annually. High compensation is often associated with working in large organizations, possessing specialized certifications, and leading complex data projects.

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, 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.

Can I get a data engineer job with no experience?

Entry-level data engineer positions typically require some knowledge of programming, databases, and data processing tools like SQL, Python, or cloud platforms. While prior experience is often preferred, candidates with relevant internships, certifications, or strong technical skills can sometimes qualify for junior roles or apprenticeships in data engineering.
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

Lorven Technologies

Los Angeles, CA • On-site, Remote

$123K - $148K/yr

Contractor

Posted 11 days ago

Job description

Job Title: Data Engineer
Location: California - Remote
Duration: 6+ Months Contract
Job Description:
The Senior Data Engineer is responsible for designing, building, and managing the data platform and tools to allow for the efficient processing and analysis of large data sets. Develops and maintains scalable data pipelines, ensures data quality, and deploys machine learning models to production. Collaborates with business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision-making across the organization. Builds real-time and batch pipelines to handle large volumes of data efficiently. Collaborates with cross-functional teams and translate business requirements into scalable data solutions.
Responsibilities:
  • Design, develop, and maintain real-time or batch data pipelines to process and analyze large volumes of data. Designs and develops programs and tools to support ingestion, curation, and provisioning of complex first party and third-party data to achieve analytics, reporting, and data science. Design and develop Advanced Data Products and Intelligent API's. Monitors the system performance by performing regular tests, troubleshoots, and integrates new features.
  • Lead in analysis of data and the design the data architecture to support BI, AI/ML and data products.
  • Designs and implements data platform architecture to meet organization analytical requirements. Ensures the solution designs address operational requirements such as scalability, maintainability, extensibility, flexibility, and integrity.
  • Provide technical leadership and mentorship to team members. Leads peer development and code reviews with focus on test driven development and Continuous Integration and Continuous Development (CICD).

Requirements:
  • Bachelor's degree in computer science, information systems, data science, management information systems, mathematics, physics, engineering, statistics, economics, and/or a related field required.
  • Master's degree in computer science, information systems, data science, management information systems, mathematics, physics, engineering, statistics, economics, and/or a related field preferred.
  • Minimum of eight (8) years of experience as a data engineer with full-stack capabilities
  • Minimum of ten (10) years of Experience in programming
  • Minimum of five (5) years in Cloud technologies like Azure, Aws or Google.
  • Strong SQL Knowledge
  • Experience in ML and ML Pipeline a plus
  • Experience in real-time integration, developing intelligent apps and data products.
  • Proficiency in Python and experience with CI/CD practices
  • Strong background in IAAS platforms and infrastructure
  • Hands-on experience with Databricks, Spark, Fabric, or similar technologies
  • Experience in Agile methodologies
  • Hands-on experience in the design and development of data pipelines and data products
  • Experience in developing data ingestion, data processing, and analytical pipelines for big data, NoSQL, and data warehouse solutions.
  • Hands-on experience implementing data migration and data processing using Azure services: ADLS, Azure Data Factory, Event Hub, IoT Hub, Azure Stream Analytics, Azure Analysis Service, HDInsight, Databricks Azure Data Catalog, Cosmo Db, ML Studio, AI/ML, etc.
  • Extensive experience in Big Data technologies such as Apache Spark and streaming technologies such as Kafka, EventHub, etc.
  • Extensive experience in designing data applications in a cloud environment.
  • Intermediate experience in RESTful APIs, messaging systems, and AWS or Microsoft Azure.
  • Extensive experience in Data Architecture and data modeling
  • Expert in data analysis and data quality frameworks.
  • Knowledgeable with BI tools such as Power BI and Tableau.
  • May occasionally work evenings and/or weekends.
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About Lorven technologies

Sourced by ZipRecruiter

Lorven Technologies, headquartered in Plainsboro, New Jersey, United States, is a reputable company in the technology industry, specializing in providing effective IT solutions and consulting services. The company's official website, lorventech.com, offers comprehensive insights into its offerings which include but are not limited to software development, IT consulting, project management, and business analysis. Since its inception, Lorven Technologies has been committed to ensuring efficiency and reliability in delivering IT services to its global clientele, establishing itself as a trusted name in the industry.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

2001

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