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Data Ingestion 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 ...

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Data Ingestion information

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$24.5K

$126.1K

$173K

How much do data ingestion jobs pay per year?

As of Jul 6, 2026, the average yearly pay for data ingestion in the United States is $126,123.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,000.00 and $159,000.00 per year, depending on experience, location, and employer.

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 engineers or analysts typically design and run these jobs using tools like Apache NiFi, Kafka, or cloud services to ensure data is available for analysis or further processing.

What are some common challenges faced in a data ingestion role, and how can they be addressed?

Professionals working in data ingestion often encounter challenges such as handling diverse data formats, ensuring data quality, and maintaining data pipeline reliability. Managing large volumes of data from multiple sources can lead to issues with consistency, latency, and error handling. To address these, it is essential to implement robust validation processes, use scalable data ingestion tools, and closely collaborate with data engineering and source system teams. Continuous monitoring and regular pipeline optimization are also key practices to ensure smooth data flow and integrity.

What is data ingestion?

Data ingestion is the process of collecting and importing data from various sources into a storage or processing system, such as a database, data warehouse, or data lake. It involves transferring raw data, which may come from different formats and platforms, into a centralized location for analysis and further processing. Data ingestion can be done in real-time (streaming) or in batches, depending on business needs and data velocity. This process is crucial for organizations to make informed decisions based on comprehensive, up-to-date information.

What is the highest paying job in data?

In data-related fields, senior roles such as Data Engineering Managers, Data Architects, and Chief Data Officers tend to have the highest salaries, often exceeding six figures annually. These positions typically require extensive experience, advanced technical skills, and knowledge of tools like cloud platforms and data management systems.

What is the difference between Data Ingestion vs Data Analyst?

AspectData IngestionData Analyst
Required CredentialsKnowledge of ETL tools, SQL, basic scriptingDegree in statistics, data science, or related field; SQL, Excel, visualization skills
Work EnvironmentData engineering teams, IT departments, cloud platformsBusiness units, analytics teams, reporting environments
Industry UsageData pipelines, data warehouses, big data platformsData interpretation, reporting, decision support

Data ingestion involves collecting and importing data into storage systems, focusing on data pipelines and infrastructure. Data analysts interpret and analyze this data to generate insights. While data ingestion prepares data for analysis, data analysts focus on understanding and communicating data findings. Both roles are essential in data-driven organizations but serve different functions within the data lifecycle.

What are the key skills and qualifications needed to thrive as a Data Ingestion Specialist, and why are they important?

To thrive as a Data Ingestion Specialist, you need a strong understanding of data pipelines, ETL processes, and experience with databases, often supported by a degree in computer science or related fields. Familiarity with tools such as Apache Kafka, Apache NiFi, SQL, and cloud platforms like AWS or Azure is typically required, along with knowledge of data integration frameworks. Strong problem-solving skills, attention to detail, and effective communication set top performers apart in this role. These skills are crucial to ensure the accurate, efficient, and secure movement of data across systems, supporting reliable analytics and business decisions.

Is data ingestion the same as ETL?

Data ingestion is the process of collecting and importing data from various sources into a storage system, while ETL (Extract, Transform, Load) is a specific data pipeline process that involves extracting data, transforming it for analysis, and loading it into a target system. Data ingestion can be part of an ETL workflow but also includes simpler or different data collection methods. In a data ingestion role, familiarity with ETL tools and processes is often essential.

What skills are needed for data ingestion?

Data ingestion roles require skills in data processing, scripting languages like Python or SQL, and familiarity with data integration tools such as Apache NiFi or Talend. Knowledge of database management, data formats, and basic understanding of cloud platforms like AWS or Azure are also important for efficient data pipeline development.
More about Data Ingestion jobs
What cities are hiring for Data Ingestion jobs? Cities with the most Data Ingestion job openings:
What states have the most Data Ingestion jobs? States with the most job openings for Data Ingestion jobs include:
What job categories do people searching Data Ingestion jobs look for? The top searched job categories for Data Ingestion jobs are:
Data Ingestion jobs near you
Infographic showing various Data Ingestion job openings in the United States as of June 2026, with employment types broken down into 25% Full Time, and 75% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $126,123 per year, or $60.6 per hour.
Data Ingestion Engineer

Data Ingestion Engineer

Samprasoft

Remote

$117K - $140K/yr

Other

Posted 6 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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