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Data Ingestion Engineer Jobs (NOW HIRING)

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

New Hampshire, OH · On-site

$102K - $122K/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

$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 ...

AaraTechnologies Inc

DATA ENGINEER

Georgiana, AL

$88K - $105K/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 ...

TekVivid

Data Engineer

Plano, TX

$110K - $132K/yr

Data Engineer Key Skills: Power BI, Azure Data Bricks, Python Plano, TX- In person only Job Summary ... Implement scalable data ingestion frameworks (batch and incremental) from diverse data sources ...

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 ...

HCLTech

Cloud Data Engineer

El Paso, TX · On-site

$103K - $124K/yr

... ingestion pipelines. Responsibilities : • Build and optimize real-time data pipelines using Kafka ... MS SQL Server, PostgreSQL. • Programming: Python (FastAPI), with a strong preference for Scala ...

Prophecy Technologies

Data Engineer - GCP

Dublin, OH · On-site

$110K - $132K/yr

Job Summary The Senior Data Engineer will design, build, optimize, and support enterprise-scale ... This role focuses on data ingestion, transformation, governance, and curation while ensuring ...

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 ...

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Data Ingestion Engineer information

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$44.5K

$129.7K

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How much do data ingestion engineer jobs pay per year?

As of Jun 8, 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 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 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.

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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 May 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% 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 AI, Inc

New York, NY • On-site

Full-time

Medical, Dental, Vision, Life, PTO

Posted 23 days ago

Job description

Our Mission
Reflection's mission is to build open superintelligence and make it accessible to all.
We're developing open weight models for individuals, agents, enterprises, and even nation states. Our team of AI researchers and company builders come from DeepMind, OpenAI, Google Brain, Meta, Character.AI, Anthropic and beyond.
About the Role
Data is playing an increasingly crucial role at the frontier of AI innovation. Many of the most meaningful advances in recent years have come not from new architectures, but from better data.
As a member of the Data Team, your mission is to build and operate the ingestion systems that turn the open web and other large-scale data sources into reliable, well-structured corpora for training frontier models. You will own the machinery that acquires, extracts, normalizes, versions, and delivers data to our pre-training pipelines. You'll work directly with world-class researchers to close the loop between what we collect and how it impacts model performance.
This role is ideal for engineers who love building robust distributed systems, but who also want to run experiments, reason about tradeoffs in data acquisition, and iterate quickly based on measurable impact.
Working closely with our pre-training and data quality teams, you will:
  • 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

About You:
  • Curious about how training data influences model capabilities, and can iterate quickly based on measurable downstream impact
  • Able to collaborate tightly across functions: researchers, infra, operations, and external partners.
  • Enjoy working in a hybrid research-engineering role

Skills and Qualifications:
  • 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
What We Offer:
We believe that to build superintelligence that is truly open, you need to start at the foundation. Joining Reflection means building from the ground up as part of a small talent-dense team. You will help define our future as a company, and help define the frontier of open foundational models.
We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.
  • Top-tier compensation: Salary and equity structured to recognize and retain the best talent globally.
  • Health & wellness: Comprehensive medical, dental, vision, life, and disability insurance.
  • Life & family: Fully paid parental leave for all new parents, including adoptive and surrogate journeys. Financial support for family planning.
  • Benefits & balance: paid time off when you need it, relocation support, and more perks that optimize your time.
  • Opportunities to connect with teammates: lunch and dinner are provided daily. We have regular off-sites and team celebrations.

Apply