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Data Ingestion Jobs (NOW HIRING)

Nederlander Productions

Data Engineer

Manhattan, NY

$126K - $151K/yr

... data ingestion from third-party platforms● Own API, webhook and file-based ingestion systems (SFTP, third-party feeds), ensuring reliability and observability● Manage AWS infrastructure ...

Amazon

Data Engineer II, AWS Analytics Engineering

Seattle, WA · On-site

$130K - $156K/yr

We are seeking a Data Engineer to join our Data Ingestion Platform team In this role, you will design, build, and operate the next-generation ingestion service that automatically onboards data from ...

Virtusa Corporation

Data Engineer

New York, NY · On-site

$125K - $150K/yr

Data Ingestion & Orchestration Orchestrate data pipelines using Azure Data Factory (ADF) to reliably ingest, transform, and load enterprise datasets. Implement data ingestion pipelines, including ...

New

MSR Cosmos

AWS Data Architect

Torrance, CA · On-site

$66.50 - $85.50/hr

Data Ingestion and Integration: * Design and build data pipelines to extract, transform, and load data from various sources (databases, APIs, flat files) into the Datahub using AWS Glue, AWS Batch ...

Amazon

Data Engineer II, AWS Analytics Engineering

Seattle, WA · On-site

$130K - $156K/yr

We are seeking a Data Engineer to join our Data Ingestion Platform team In this role, you will design, build, and operate the next-generation ingestion service that automatically onboards data from ...

Career Team

Data Conversion Software Engineer

Denver, CO · On-site

$60K - $100K/yr

Specifically, What You Will Do You will build and support robust data ingestion and conversion solutions using MongoDB, Node.js, Nest.js, and Next.js. On any given day, you'll be designing, building ...

MSRCosmos

AWS Data Architect

Torrance, CA · On-site

$65.50 - $84.25/hr

Data Ingestion and Integration: * Design and build data pipelines to extract, transform, and load data from various sources (databases, APIs, flat files) into the Datahub using AWS Glue, AWS Batch ...

Intelliswift - An LTTS Company

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Intelliswift, an LTTS Company, is seeking a Data Engineer to build optimal cloud-based data pipelines and automated data ingestion processes. The role involves developing and deploying cloud-based ...

MSR Cosmos

AWS Data Architect

Gardena, CA · On-site

$65.25 - $84/hr

Architect and implement a scalable data hub solution on AWS using best practices for data ingestion transformation storage and access control * Define data models data lineage and data quality ...

Talent Groups

Data Governance Architect

Boston, MA · On-site

$69.25 - $89/hr

Data ingestion and integration pipelines (batch, streaming, real time) * Data processing frameworks and analytical workloads * Data consumption patterns (BI, reporting, advanced analytics, AI/ML)

New

NAVA Software Solutions

Big Data Engineer

Atlanta, GA · On-site

$53.50 - $71/hr

Deep knowledge of troubleshooting and tuning Spark applications * 3+ years of experience with data ingestion from Message Queues (Tibco, IBM, etc.) and different file formats across different ...

Compunnel

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Key Responsibilities • Design, develop, and maintain scalable data pipelines using Azure and Databricks. • Build and optimize data ingestion, transformation, and data modeling processes for large ...

CYNET SYSTEMS

Data Analyst

Raleigh, NC · On-site

$30 - $35/hr

Experience with data ingestion, cleansing, validation, and quality assurance processes. * Knowledge of data governance, confidentiality requirements, and regulatory compliance standards. * Experience ...

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All JobsData Ingestion Jobs

Data Ingestion information

See salary details

$24.5K

$126.1K

$173K

How much do data ingestion jobs pay per year?

As of Aug 16, 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 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 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?

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.
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Data Ingestion jobs near you
Infographic showing various Data Ingestion job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $126,123 per year, or $60.6 per hour.

Data Engineer

Nederlander Productions

Manhattan, NY

$126K - $151K/yr

Full-time

Re-posted 26 days ago

Job description

Duties and ResponsibilitiesData Infrastructure & Pipeline Engineering● Design, build, and operate scalable data pipelines across Salesforce, Snowflake, and external systems (ticketing, lottery, partners)● Leverage Fivetran and API-based ingestion frameworks to standardize and automate data ingestion from third-party platforms● Own API, webhook and file-based ingestion systems (SFTP, third-party feeds), ensuring reliability and observability● Manage AWS infrastructure supporting data ingestion, processing, and orchestration Data Warehouse & Modeling● Own Snowflake data architecture, including schema design, transformations, and data modeling● Develop and maintain transformation layers using dbt, including modular, testable, and well-documented models● Build canonical datasets and dimensional models supporting analytics, CRM, ticketing, and pricing● Optimize warehouse performance, cost, and scalability through clustering, partitioning, and query optimization● Manage schema evolution and deprecation of legacy data structuresData Quality, Governance & Reliability● Establish data quality frameworks using dbt tests, monitoring tools, and pipeline validation checks to detect and resolve inconsistencies, duplication, and missing data● Implement automated validation, monitoring, and alerting across pipelines● Own data hygiene standards across customer, order, and transaction datasetsAutomation & Systems Optimization● Develop Python-based workflows to automate ingestion, transformation, and operational processes● Reduce manual workflows through system design, tooling, and pipeline reliability improvements● Leverage HighTouch to operationalize data by syncing curated datasets back into Salesforce and other business systems● Partner with third-party developers to maintain ticket lottery systems● Continuously improve pipeline performance, latency, and failure recoveryReporting & Data Enablement● Build and maintain data pipelines supporting core reporting (sales, marketing performance, partner reporting)● Enable downstream analytics and BI through clean, accessible, and well-modeled datasetsDynamic Pricing Data Infrastructure & Modeling Support● Own the data infrastructure supporting dynamic pricing models● Design and maintain model-ready datasets across pricing, inventory, and demand signals using Snowflake and dbt● Partner with internal teams and external consultants to operationalize pricing models within Snowflake● Enable rapid iteration, backtesting, and deployment of pricing strategiesQUALIFICATIONSExpertise● Strong proficiency in SQL and advanced data modeling (dimensional + canonical)● Experience building and operating data pipelines using Python and modern data stack tools (Fivetran, dbt, HighTouch or similar)● Deep experience with Snowflake or similar cloud data warehouses● Experience working with CRM systems (Salesforce preferred)● Experience managing data infrastructure in AWS or similar cloud environments● Strong understanding of ETL/ELT design patterns, APIs, and distributed data systems What Success Looks Like● Reliable, scalable data pipelines with minimal manual intervention● Improved data quality and reduced duplication/errors● Faster reporting and improved data accessibility across teams● Successful deployment and iteration of pricing models supported by robust data systemsGrowth & Development Opportunities● Opportunity to lead data architecture strategy, build scalable infrastructure, and directly impact revenue through pricing optimization systems.