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Data Engineer Intermediate Jobs (NOW HIRING)

Ampcus Inc

Data Engineer - Intermediate

Manhattan, NY · On-site

$126K - $151K/yr

We are seeking a skilled Data Engineer to design, build, and manage scalable ETL pipelines supporting a centralized data lake and Snowflake data warehouse. The role focuses on automating data ...

Packsize International LLC

Data Engineer

Salt Lake City, UT · On-site

$110K - $133K/yr

Data Engineer About the Role: We are seeking a Data Engineer to design, build, and optimize data ... Implement robust ETL/ELT processes using intermediate Python and advanced SQL to ensure high ...

Packsize

Data Engineer

Salt Lake City, UT · On-site +1

$110K - $133K/yr

Data Engineer About the Role: We are seeking a Data Engineer to design, build, and optimize data ... Implement robust ETL/ELT processes using intermediate Python and advanced SQL to ensure high ...

INDEX ANALYTICS LLC

Data Engineer

Baltimore, MD · Remote

$116K - $139K/yr

Microsoft Azure SQL (Intermediate proficiency) * Experience building and deploying data pipelines in production environments * Strong understanding of data engineering principles and data lifecycle ...

Index Analytics

Data Engineer

Baltimore, MD · On-site +1

$126K - $142K/yr

Microsoft Azure SQL (Intermediate proficiency) * Experience building and deploying data pipelines in production environments * Strong understanding of data engineering principles and data lifecycle ...

OperAxis

Data Engineer

Bentonville, AR · On-site

$97K - $117K/yr

Required : • 3+ years (Intermediate) or 5+ years (Specialist) of data engineering experience • Hands-on experience with Apache Airflow for pipeline orchestration • Proficiency in Apache Spark ...

Synaptein Solutions inc

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Data Engineer Location: Atlanta, GA Duration: 6+Month Contract 5 years of experience with at least ... Intermediate Business modeling skills using Excel or BI Tool Excellent oral, written, and ...

Synaptein Solutions inc

Data Engineer

Atlanta, GA

$110K - $132K/yr

Data Engineer Location: Atlanta, GA Duration: 6+Month Contract 5 years of experience with at least ... Intermediate Business modeling skills using Excel or BI Tool Excellent oral, written, and ...

CAYS Inc

Data Engineer

Jersey City, NJ · On-site

$119K - $143K/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

$129K - $155K/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 ...

First Citizens Bank

Senior Data Engineer

Carolina, RI · Remote

$106K - $144K/yr

Intermediate experience with enterprise ETL/ELT tools such as DataStage, SAP BODS, SSIS, ... AWS Certified Data Engineer - Associate, AWS Certified Developer - Associate, SnowPro Core ...

1 point system

GCP Data Engineer

Bentonville, AR · On-site

$100K - $120K/yr

Participate in data platform architecture decisions and documentation REQUIRED QUALIFICATIONS * 3+ years (Intermediate) or 5+ years (Specialist) of data engineering experience * Hands-on experience ...

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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.

Data Engineer - Intermediate

Ampcus Inc

Manhattan, NY • On-site

$126K - $151K/yr

Full-time

Re-posted 5 days ago

Job description

Job Summary:
Ampcus Inc. is a certified global provider of a broad range of Technology and Business consulting services. We are seeking a skilled Data Engineer to design, build, and manage scalable ETL pipelines supporting a centralized data lake and Snowflake data warehouse. The role focuses on automating data ingestion, transformation, and aggregation workflows to enable reliable analytics and data-driven decision-making.
Responsibilities:
• Design, develop, and maintain robust ETL pipelines for ingesting data into the enterprise data lake and Snowflake environment.
• Automate data processing, aggregation, and analytical workflows to improve data availability and performance.
• Implement and manage orchestration and scheduling of data pipelines using Control‐M and Apache Airflow.
• Develop scalable data transformation logic using PySpark and Apache Spark (Java).
• Work with large, structured and semi-structured datasets on AWS infrastructure.
• Ensure data quality, integrity, and reliability across data pipelines.
• Optimize data pipelines for performance, cost, and scalability.
• Collaborate with analytics, data science, and business teams to understand data requirements.
• Monitor, troubleshoot, and resolve pipeline failures and performance bottlenecks.
• Follow best practices for data engineering, security, and documentation.
Qualifications:
Required:
• Strong experience with data lake architectures and large-scale data processing.
• Hands-on experience with AWS services (e.g., S3, EC2, EMR, Glue, or related).
• Proven expertise in building ETL pipelines for analytics and reporting use cases.
• Solid working knowledge of Snowflake, including data loading, transformations, and performance optimization.
• Experience with workflow automation and scheduling tools such as Control‐M and Apache Airflow.
• Proficiency in PySpark for distributed data processing.
• Strong programming experience with Apache Spark using Java.
• Good understanding of data modeling, partitioning, and performance tuning concepts.
Preferred:
• Exposure to CI/CD practices for data pipelines.
• Experience working in Agile or DevOps environments.
Company:
Ampcus is a global business, technology consulting and an staff augmentation firm specializing in AI/ML,digital solutions, Cybersecurity & Risk management, Testing, Forensics & Fraud services and human capital management. Founded in 2004, the company is headquartered in Chantilly, USA, with a team of 1001-5000 employees. The company is currently Late Stage.
Ampcus logo

About Ampcus

Sourced by ZipRecruiter

Ampcus Inc. is a ISO 20000, ISO 27000, ISO 9001, CMMI DEV/3 SM and CMMI SVC/3 SM certified global provider of a broad range of Technology and Business consulting services. From strategy to execution, our disciplined yet flexible approach starts and ends with our clients. By listening hard and working harder, client goals become our goals. Their success is our satisfaction. It’s why our clients sleep well at night. We believe that the success of an engagement is determined by strong project management, as well as clear communication and mutual commitment working collaboratively. Our methodology begins with listening to the customer about their needs, then working with their team to gain a clear understanding of the requirements, while providing knowledge transfer of best practices for the organization.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Chantilly, VA, US

Year founded

2004

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