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Data Ingestion Engineer Jobs (NOW HIRING)

Senior Product Manager - Data Ingestion

Concord, NC · On-site

$117K - $155K/yr

Just as importantly, they'll need to collaborate regularly with our engineers, designers, customers ... Within the Core Services segment, the Data Ingestion products are the entry to our data platform ...

Data Engineer II, AWS Analytics Engineering

Seattle, WA · On-site

$130K - $156K/yr

We are seeking a Data Engineer to join our Data Ingestion Platform team In this role, you will design, build, and operate the next-generation ingestion service that automatically onboards data from ...

New

Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

Develop and manage data ingestion from various sources including message queues, file shares, REST ... Over 9+ years of experience as Data Engineer. * Strong SQL skills (MySQL, HIVE, Impala, SPARK SQL)

Databricks Data Lake Engineer

Jersey City, NJ · On-site

$119K - $143K/yr

Data Ingestion - Build scalable ingestion pipelines using Spark, Autoloader, LakeFlow, Informatica ... Experience with DevOps, Git, CI/CD, and job orchestration tools. * Excellent communication skills ...

New

Data Engineer - Bilingual Mandarin required

Cary, NC · On-site

$106K - $127K/yr

S. Citizen required (we do nor sponsor) Job Title Data Engineer Focus Areas Data ingestion, data lakehouse, data warehouse, data platform, data service APIs, data quality & engineering agent ...

Data Engineer - Bilingual Mandarin required

Norco, CA · On-site

$123K - $147K/yr

S. Citizen required (we do nor sponsor) Job Title Data Engineer Focus Areas Data ingestion, data lakehouse, data warehouse, data platform, data service APIs, data quality & engineering agent ...

Data Engineer - Bilingual Mandarin required

Norco, CA · On-site

$123K - $147K/yr

S. Citizen required (we do nor sponsor) Job Title Data Engineer Focus Areas Data ingestion, data lakehouse, data warehouse, data platform, data service APIs, data quality & engineering agent ...

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 ... data ingestion development and support duties. Skills and Experience: Required: * 8+ years of ...

Azure Data Engineer

Bellevue, WA · On-site

$128K - $154K/yr

They are seeking an Azure Data Engineer to build and maintain data ingestion pipelines, ensuring data quality and governance while collaborating with stakeholders to deliver high-quality datasets.

Associate Data Engineer

Parsippany, NJ · On-site

$115K - $138K/yr

Associate Data Engineer Location: Parsippany, NJ Duration: 6 Months Job Type: Temporary Assignment ... Build and maintain ingestion pipelines that bring structured, semi-structured data, files, API ...

Data Engineer

Mason, OH · On-site

$55 - $60/hr

Proficiency in SQL and one programming language (Python / PySpark preferred). * Experience in ETL ... Implement data ingestion, transformation, and integration processes for structured and unstructured ...

Showing results 21-40

Data Ingestion Engineer information

See salary details

$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
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.

Data Engineer - Mid with Security Clearance

Crimson Phoenix

Springfield, VA • On-site

$119K - $143K/yr

Other

Posted 28 days ago


Job description

Job Description Position Overview: We are seeking a skilled and motivated Data Engineer / Database Engineer to support our growing team providing an enterprise data warehouse and visualization environment. The ideal candidate will have hands-on experience with Microsoft SQL Server, ETL pipelines, and cloud-based data ingestion tools-especially AWS Glue. You will be responsible for maintaining and enhancing our database systems, enabling near real-time data pipelines from source databases (Oracle, SQL, etc) to Microsoft SQL Server, and ensuring secure, efficient, and scalable data access. Key Responsibilities: • Support and maintain Microsoft SQL Server environments, with flexibility to adapt to alternative database platforms as the architecture evolves. • Design and implement data pipelines using AWS Glue for efficient and scalable data ingestion. • Build and maintain a near real-time data ingestion framework from Oracle databases to Microsoft SQL Server. • Develop and manage ETL processes, including incremental/delta-based extraction of raw data from source systems. • Build and optimize relational database schemas, ensuring performance, scalability, and data integrity. • Implement and manage fine-grained roles and permissions in SQL Server to enforce data security and access control policies. • Work closely with Data Analysts, Software Engineers, and other stakeholders to ensure data systems meet business requirements. • Monitor and troubleshoot data pipelines and workflows to ensure reliability and consistency.