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Data Ingestion Engineer Jobs (NOW HIRING)

Wynn Resorts

Sr. Engineer - Data Analytics

Las Vegas, NV · On-site

$109K - $131K/yr

The Data Engineer will create and manage solutions which turn data into knowledge. Roles ... Design and Implement Data Ingestion Patterns: Define, design, and implement various data ingestion ...

Samprasoft

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 ...

Tata Consultancy Service Limited

Data Engineer

Atlanta, GA · On-site

$120K - $140K/yr

Must Have Technical/Functional Skill We are looking for a Data Engineer to design, build, and ... Key Skills Strong experience in ETL pipeline development Knowledge of batch and CDC data ingestion ...

Software Technology Inc

Big Data Developer

Mclean, VA · On-site

$54.25 - $70.50/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 ...

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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 Programmer ETL Data Engineer

Tata Consultancy Service Limited

Seattle, WA • On-site

$100K - $130K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 29 days ago

Job description

Must Have Technical/Functional Skills
5+ years of experience with data engineering and/or data processing tools
Experience with programming languages
Experience with relational databases (SQL Server or Oracle)
Experience with cloud-platform technologies (AWS, Azure, GCP)
Experience with cloud containerization
Experience with DevOps / DevSecOps
Roles & Responsibilities
Design, develop, test, implement, document, and maintain data ingestion and integration solutions for on-premises and cloud data lakes
Build and maintain Extract, Transform, Load/Extract, Load, Transform (ETL/ELT) pipelines to ingest data from various enterprise systems into data lakes (e.g., AWS S3, Azure Data Lake, Hadoop)
Develop and manage Application Program Interfaces (APIs) and connectors for real-time and batch data ingestion
Collaborate with data architects and engineers to ensure data quality, security, and compliance during ingestion
Monitor and optimize data pipeline performance and troubleshoot data ingestion issues
Support migration and integration efforts between legacy systems and modern cloud data platforms
Implement data governance and metadata management best practices in ingestion workflows
3+ years of experience with Object Oriented Design and Programming in a high-level language like C#, .NET, Java, SQL, HTML, and CSS
Experience in a role that required the ability to work both independently and collaboratively
Experience with cloud-native data ingestion and processing services (AWS Glue, Azure Data Factory, Google Cloud Dataflow)
Experience with data lake architecture, data modeling, and metadata management
Experience with real-time data streaming and event-driven architecture
Experience with data security, encryption, and compliance standards in aerospace and/or regulated industries
Experience working in Agile and/or Scaled Agile environments
Experience with verbal and written communication skills to effectively collaborate with cross-functional teams
Base Salary Range : $100,000 to $130,000 Per Annum
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
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