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Data Ingestion Engineer Jobs (NOW HIRING)

Vings Technologies

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

The architect will be responsible for defining scalable data models, designing ingestion and ... DevOps Git CI/CD Terraform Ansible GitOps Practices

AaraTechnologies Inc

DATA ENGINEER

Washington, DC · On-site

$129K - $155K/yr

Data Engineer Retail & E-Commerce (2-3 Years Experience) Company: AaraTech Inc About the Role ... This role focuses on data ingestion, transformation, and validation for retail and ecommerce ...

AaraTechnologies Inc

DATA ENGINEER

Washington, DC · On-site

$129K - $155K/yr

Data Engineer Retail & E-Commerce (2-3 Years Experience) Company: AaraTech Inc About the Role ... This role focuses on data ingestion, transformation, and validation for retail and ecommerce ...

NAVA Software Solutions

Data Engineer - Remote

Manhattan, NY · On-site +1

$126K - $151K/yr

Design and build data ingestion pipelines. * Participate in Agile methodology, delivering assigned stories according to engineering standards and guidelines. * Collaborate in pair programming, code ...

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 ... Your primary focus will be the continuous development/improvement of our data ingestion pipeline ...

Xenith Solutions

Data Ops Engineer

San Diego, CA · On-site

$121K - $146K/yr

They are seeking a Data Ops Engineer to design, build, and maintain real-time data ingestion pipelines, ensuring reliable data flow and quality while collaborating with various engineering teams.

Intelliswift - An LTTS Company

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Intelliswift, an LTTS Company, is seeking a Data Engineer to build optimal cloud-based data pipelines and automated data ingestion processes. The role involves developing and deploying cloud-based ...

Eitacies Inc

Snowflake Data Engineer (AWS)

Nashville, TN · Remote

$117K - $140K/yr

Benefits: * 401(k) Snowflake Data Engineer (AWS Environment) Only TN residents Nashville, TN ... Strong in data ingestion, transformation, validation Plus: * Healthcare / Public Health data ...

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Data Ingestion Engineer information

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$44.5K

$129.7K

$177.5K

How much do data ingestion engineer jobs pay per year?

As of Jul 24, 2026, the average yearly pay for data ingestion 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 engineers make 300,000 a year?

Senior data ingestion engineers with extensive experience, advanced skills in data pipelines, cloud platforms, and programming languages like Python or Scala can earn salaries around $300,000 annually. High compensation often reflects expertise, leadership roles, and working in competitive industries or organizations with complex data infrastructure.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and transformation, but it does not replace the need for data engineers. Data engineers are essential for designing data pipelines, managing infrastructure, and ensuring data quality, which require specialized skills and oversight that AI tools currently cannot fully replicate.

What is a Data Ingestion Engineer job?

A Data Ingestion Engineer is responsible for designing, building, and managing data pipelines that collect, process, and store data from various sources. They ensure efficient data flow into storage systems like data lakes or warehouses while maintaining data integrity and quality. Their role involves working with ETL (Extract, Transform, Load) frameworks, automation tools, and cloud platforms. They collaborate with data analysts, engineers, and scientists to support analytics and business intelligence. Strong skills in programming, databases, and big data technologies are essential for success in this role.

What are some common challenges a Data Ingestion Engineer might face in their day-to-day work?

A common challenge for Data Ingestion Engineers is ensuring the reliability and scalability of data pipelines when handling large and diverse datasets from multiple sources. You'll often need to troubleshoot data quality issues, maintain optimal pipeline performance, and address integration hurdles with legacy and modern systems. Regular collaboration with data scientists, analysts, and IT teams is necessary to ensure that data is both timely and usable for downstream applications. Staying updated on new tools and evolving technologies also helps you adapt to changing business needs and data architectures.

What engineers make $500,000?

Senior data ingestion engineers with extensive experience, specialized skills in data pipelines, cloud platforms, and automation can reach or exceed a $500,000 annual salary, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires advanced certifications, leadership roles, and a strong track record of managing complex data systems.

What is a data ingestion job?

A data ingestion job involves collecting, importing, and processing data from various sources into a data storage or processing system. Data Ingestion Engineers typically use tools like Apache Kafka, Apache NiFi, or cloud services to automate and manage this process, ensuring data is available for analysis or further processing.

What are the key skills and qualifications needed to thrive in the Data Ingestion Engineer position, and why are they important?

To thrive as a Data Ingestion Engineer, you need strong programming skills (such as Python, Java, or Scala), experience with ETL processes, and a solid understanding of data warehousing concepts, often supported by a degree in computer science, engineering, or a related field. Proficiency with data pipeline tools like Apache NiFi, Kafka, or AWS Glue, and certifications in cloud platforms (AWS, Azure, GCP) are highly sought after. Excellent problem-solving abilities, attention to detail, and effective communication skills help you collaborate across multidisciplinary teams. These skills ensure efficient, reliable data flows and support data-driven decision-making within organizations.

More about Data Ingestion Engineer jobs
What job categories do people searching Data Ingestion Engineer jobs look for? The top searched job categories for Data Ingestion Engineer jobs are:
Data Ingestion Engineer jobs near you
Infographic showing various Data Ingestion Engineer job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% 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.

Member of Technical Staff - Data Ingestion Engineer

Reflection

San Francisco, CA • On-site

Full-time

Posted 9 days ago

Job description

Job Summary:
Reflection is on a mission to build open superintelligence and make it accessible to all. They are seeking a Data Ingestion Engineer to build and operate ingestion systems that convert large-scale data sources into structured corpora for training AI models.
Responsibilities:
• Build and operate large-scale data ingestion systems for pre-training, including web crawling, extraction, and dataset delivery
• Run experiments to evaluate crawling strategies, extraction methods, and ingestion tradeoffs
• Analyze ingested data to identify gaps, redundancy, and areas to improve
• Build ingestion pipelines that scale reliably across large data campaigns
• Develop specialized crawlers for high-priority data sources
• Review code, debug production issues, and continuously improve ingestion infrastructure
Qualifications:
Required:
• Experience building web crawling, data ingestion, or large-scale data acquisition systems using Ray, Beam, Spark, or similar technologies.
• Familiarity with how LLMs are trained and evaluated, and an intuition for what makes data useful for training.
• Comfortable working with very large datasets (multi-TB to PB scale) and building systems that are observable, testable, and maintainable.
• Comfortable designing experiments and using data to guide system improvements.
• Excellent communication skills. You can explain system behavior. You consider and communicate tradeoffs clearly.
Company:
Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. Founded in 2024, the company is headquartered in New York, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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