ZipRecruiter

Log In

1

Data Ingestion Engineer Jobs (NOW HIRING)

Visa Hunt

$140 - $210/hr

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 ...

New

NewsMesh

$165 - $220/hr

About NewsMesh NewsMesh turns the world's news into clean, structured, real-time data. We ingest ... Own and improve the Celery-based ingestion pipeline across thousands of changing sources * Keep ...

New

Roku

Sr. Solutions Engineer, Ad Data Ingestion

Boston, MA · On-site

$123K - $175K/yr

Roku is seeking a Senior Solutions Engineer, Ad Data Ingestion to join our Solutions Engineering team supporting Roku's advertising business. Roku's advertising business runs on the quality of the ...

Roku

Sr. Solutions Engineer, Ad Data Ingestion

Boston, MA · On-site

$123K - $175K/yr

Roku is seeking a Senior Solutions Engineer, Ad Data Ingestion to join our Solutions Engineering team supporting Roku's advertising business. Roku's advertising business runs on the quality of the ...

Roku

Sr. Solutions Engineer, Ad Data Ingestion

Austin, TX · On-site

$123K - $175K/yr

Roku is seeking a Senior Solutions Engineer, Ad Data Ingestion to join our Solutions Engineering team supporting Roku's advertising business. Roku's advertising business runs on the quality of the ...

next page

Showing results 1-20

All JobsBusiness JobsBusiness Services JobsData Entry Clerk JobsData Ingestion Engineer Jobs

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 Sep 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 is a data ingestion engineer?

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 the key skills and qualifications needed to thrive as a data ingestion engineer?

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.

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.

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 August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Member of Technical Staff - Data Ingestion Engineer

B Capital

San Francisco, CA • On-site

$120 - $160/hr

Other

Medical, Dental, Vision, Life, PTO

Posted 3 days ago

New

Key responsibilities

  • 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

Job description

Location

SF, NYC, London

Employment Type

Full time

Location Type

On-site

Department

Engineering

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.
#J-18808-Ljbffr

Apply