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Data Ingestion Engineer Jobs (NOW HIRING)

Samprasoft

Data Ingestion Engineer

$117K - $140K/yr

Data Ingestion Engineer/Analyst Position Purpose: Implements simple to complex data ingestion processes on Google Cloud Platform using industry-standard best practices. Designs, develops, configures ...

Samprasoft

Data Ingestion Engineer/Analyst

Freeport, ME · On-site

Data Ingestion Specialist This role focuses on setting up and managing data ingestion systems on Google Cloud Platform, aligning with recognized industry standards. It involves the creation, testing ...

Scribe

Senior Backend Engineer, Data Ingestion

As a Senior Backend Engineer, you will design and build the backend systems that support core product experiences and AI capabilities, focusing on large-scale data ingestion and processing pipelines ...

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

Jersey City, NJ · On-site

$119K - $143K/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 ...

Samprasoft

Sr. Big Data Engineer

Mclean, VA · On-site

$57.25 - $75.75/hr

Programming Languages experience in Python, PySpark and Spark for data ingestion * Programming experience in Bigdata platform using Hadoop platform * Present ideas and recommendations on Hadoop and ...

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 ...

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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 4, 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 June 2026, with employment types broken down into 1% Internship, 86% Full Time, 1% Part Time, 11% Contract, and 1% Nights. 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 Ingestion Engineer

Data Ingestion Engineer

Samprasoft

Remote

$117K - $140K/yr

Other

Posted 4 days ago

Job description

Data Ingestion Engineer/Analyst

Position Purpose: Implements simple to complex data ingestion processes on Google Cloud Platform using industry-standard best practices. Designs, develops, configures, tests, debugs and documents these processes based on business requirements and technical architecture specifications. Supports and troubleshoots existing ingestion processes and data.

Responsibilities:

  • Design and implement data ingestion workflows as per business needs and technical specifications.
  • Works independently and collaboratively with team; keeping the project team and leaders in the loop.
  • Prepares detailed specifications from which data ingestion processes are developed.
  • Develops and implements technical solutions by code development and tool configuration.
  • Querying databases using SQL to extract relevant data for analysis and troubleshooting of defects/bugs.
  • Responsible for the development and execution of testing and implementation plans. Can perform unit, system, integration and user acceptance testing. Documents results.
  • Participates in project planning and development or assumes responsibility for a project of limited scope.
  • Provides options for and estimates of possible coding.
  • May be responsible for the completion of a phase of a project or small projects depending on complexity.
  • Estimates and tracks time required to complete work, for project budgeting and financial tracking.
  • Conducts and participates in reviews of solution designs, configurations and code.
  • Provides technical expertise for project and baseline support teams.
  • Adheres to security standards to comply in the handling/processing/storing of sensitive data.
  • Adheres to development standards and provides development standards recommendations.

Education Level: 4-Year Bachelor's Degree

Years of Experience: 3+ years of professional experience

Technical Skills and Qualifications:

  • Must have:
    • Cloud Data fusion
    • Google Pub/Sub
    • BigQuery
    • Google Cloud Storage
    • Cloud Composer
    • GitHub
    • SQL
  • Good to have:
    • DBMS connectivity and interaction experience (SQL Server, DB2, Oracle)
    • Experience calling RESTful API’s and SOAP Webservices
    • Experience integrating with other Google resources, databases, and services
    • Google Dataform
    • Jira
    • Confluence

While working remotely. Your candidates should have reliable high-speed internet and L.L.Bean will provide a VDI. The L.L.Bean Developer Virtual Desktop Infrastructure allows for entitled users to access a virtual computer asset to complete tasks and processes relative to their role and responsibilities. Your employee needs to have a Windows laptop/desktop to log into their assigned L.L.Bean VDI. Your employee will install a VMware Horizon 7 compatible Client for Windows on their personal PC or one you provide once they are onboarded. This PC must have a currently supported operating system, which is regularly patched, and has updated commercial anti-malware software.

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