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Data Ingestion Engineer Jobs (NOW HIRING)

Strategic Staffing Solutions

Data Engineer - IAM

Irving, TX

$109K - $132K/yr

Data Engineer - IAM Data Lake (Google Cloud Platform) Location: Irving, TX (Preferred) or Ohio ... This role will focus on building scalable data lake solutions, developing data ingestion pipelines ...

Xenith Solutions

Data Ops Engineer

San Diego, CA · On-site

$121K - $146K/yr

They are seeking a Data Ops Engineer to design, build, and maintain real-time data ingestion pipelines, ensuring reliable data flow and quality while collaborating with various engineering teams.

Harmonia Holdings Group, LLC.

Data Engineer

Mclean, VA · Remote

$117K - $141K/yr

Data Engineer - Cyber Risk & Security Data Platforms Location: Remote Terms: Full-time Travel: 0 ... Build and manage REST APIs and data ingestion services across systems * Write production-grade code ...

IQVIA

Manager, Audience Ingestion

New York, NY

$124K - $127K/yr

The position serves as both a technical operator and a coordination point between partners, Product, Engineering, and internal Data Management teams. Key Responsibilities 1. Partner Data Ingestion ...

Revolutional, LLC

Data Engineer

Mclean, VA · Remote

$115K - $139K/yr

Data Engineer - Cyber Risk & Security Data Platforms Location: Remote Terms: Full-time Clearance ... REST APIs and data ingestion services * Data validation, monitoring, and alerting tools

Purple Drive Technologies

GCP Data Engineer

Jersey City, NJ · On-site

$119K - $143K/yr

The ideal candidate will have expertise in Google BigQuery, specifically in data ingestion ... Apply DevOps principles for continuous integration and deployment (CI/CD) using GitHub and related ...

eTeam

Data Engineer

Rosemead, CA · On-site

$117K - $140K/yr

Job Summary : eTeam is a company focused on data solutions, and they are seeking a Data Engineer to ... Responsibilities : • Design and maintain data ingestion and processing pipelines • Ensure data ...

IQVIA

Manager, Audience Ingestion

Wayne, PA

$103K - $105K/yr

The position serves as both a technical operator and a coordination point between partners, Product, Engineering, and internal Data Management teams. Key Responsibilities 1. Partner Data Ingestion ...

Eitacies Inc

Snowflake Data Engineer (AWS)

Nashville, TN · Remote

$110K - $132K/yr

Benefits: * 401(k) Snowflake Data Engineer (AWS Environment) Only TN residents Nashville, TN ... Strong in data ingestion, transformation, validation Plus: * Healthcare / Public Health data ...

Seven Seven Software

Data Engineer

Newark, NJ · On-site

$119K - $143K/yr

Build reliable and robust Data ingestion pipelines (within AWS, onprem to AWS ,etc.) * Ensure the best possible performance and quality of high scale data engineering project * Participate in the ...

IQVIA, Inc.

Manager, Audience Ingestion

Wayne, PA · On-site

$103K - $105K/yr

The position serves as both a technical operator and a coordination point between partners, Product, Engineering, and internal Data Management teams. Key Responsibilities 1. Partner Data Ingestion ...

Blend

Lead Data Engineer

$117K - $140K/yr

They are seeking a Lead Data Engineer to support a large-scale healthcare data platform initiative, modernizing data ingestion, automation, and semantic layer capabilities within Google Cloud ...

Redolent, Inc.

Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

Develop and manage data ingestion from various sources including message queues, file shares, REST ... Over 9+ years of experience as Data Engineer. * Strong SQL skills (MySQL, HIVE, Impala, SPARK SQL)

Virtusa

Data Engineer

New York, NY

$125K - $150K/yr

Role Summary The Data Engineer will design and implement scalable, distributed data pipelines and ... Data Ingestion & Orchestration Orchestrate data pipelines using Azure Data Factory (ADF) to ...

Virtusa

Data Engineer

New York, NY

$125K - $150K/yr

Role Summary The Data Engineer will design and implement scalable, distributed data pipelines and ... Data Ingestion & Orchestration Orchestrate data pipelines using Azure Data Factory (ADF) to ...

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Data Ingestion Engineer information

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$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.
Data Engineer - IAM

Data Engineer - IAM

Strategic Staffing Solutions

Irving, TX

$109K - $132K/yr

Other

Posted 3 days ago

Job description

Job Description Data Engineer - IAM Data Lake (Google Cloud Platform) Location: Irving, TX (Preferred) or Ohio (Hybrid) Duration: 12 Month Contract W2 ONLY, NO C2C Overview We are seeking a skilled Data Engineer to support the design, development, and enhancement of an enterprise IAM Data Lake platform within Google Cloud Platform (GCP). This role will focus on building scalable data lake solutions, developing data ingestion pipelines, and supporting large-scale data processing initiatives using modern cloud and big data technologies. The ideal candidate will have hands-on experience with Google Cloud Platform, data lake architectures, big data processing frameworks, and Hadoop-based environments.

Experience with Hadoop/HDFS and cloud-native data engineering solutions is highly desirable. Key Responsibilities Design, build, and maintain scalable Data Lake solutions within Google Cloud Platform (GCP). Develop and support batch and streaming data ingestion pipelines using GCP-native services and big data technologies.

Build and optimize data processing workflows to support enterprise-scale analytics and reporting requirements. Design and implement data models, ingestion frameworks, and data transformation processes. Develop and maintain PySpark-based data processing applications.

Utilize Apache Airflow to orchestrate and manage complex data workflows. Implement and maintain CI/CD pipelines to support automated deployment and delivery of data engineering solutions. Design and manage Pub/Sub-based streaming architectures and event-driven data processing workflows.

Support event schema design, schema evolution, and versioning best practices. Implement incremental data ingestion strategies and Change Data Capture (CDC) patterns. Develop APIs and integration solutions to support data consumption and data-sharing requirements.

Create and maintain curated datasets, analytical views, and data exposure layers for downstream consumers. Collaborate with architecture, engineering, security, and business teams to ensure data solutions align with enterprise standards. Required Qualifications 4+ years of experience working with Google Cloud Platform (GCP).

4+ years of experience building and supporting large-scale data processing solutions. 4+ years of experience with PySpark and distributed data processing. 4+ years of experience implementing CI/CD practices and deployment automation.

2+ years of experience building and maintaining data pipelines. 2+ years of experience with Apache Airflow. Experience developing and integrating APIs.

Experience working with data lake architectures and cloud-based storage solutions. Understanding of data modeling concepts and best practices. Strong understanding of data processing frameworks and big data technologies.

Preferred Qualifications Experience with Hadoop Ecosystem technologies and HDFS. Experience designing and implementing streaming architectures using Google Pub/Sub. Familiarity with Change Data Capture (CDC) methodologies and incremental ingestion frameworks.

Experience building enterprise-scale IAM or security-related data platforms. Knowledge of data governance, lifecycle management, and access control best practices within GCP. Experience supporting analytical data platforms and data consumption frameworks.

Technical Skills Cloud & Data Platforms Google Cloud Platform (GCP) Google Cloud Storage (GCS) Pub/Sub Data Lake Architecture Data Engineering & Processing PySpark Apache Airflow Data Pipelines Data Processing Data Modeling Change Data Capture (CDC) Big Data Technologies Hadoop Ecosystem HDFS Data Formats Parquet Avro ORC Development & Automation APIs CI/CD Pipelines Version Control Automation Frameworks

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