1

Data Ingestion Jobs (NOW HIRING)

Data Engineer

Chicago, IL · Hybrid

$118K - $141K/yr

Implement scalable data ingestion patterns from multiple sources. Develop data models to support enterprise analytics and reporting. Integrate data solutions with enterprise tools and platforms.

DATA ENGINEER

New Hampshire, OH

$102K - $122K/yr

This role focuses on data ingestion, transformation, and validation for retail and ecommerce datasets. You will collaborate with analytics teams to support reporting needs. Ideal for early-career ...

DATA ENGINEER

Wyoming, MI

$103K - $124K/yr

This role focuses on data ingestion, transformation, and validation for retail and ecommerce datasets. You will collaborate with analytics teams to support reporting needs. Ideal for early-career ...

Data Engineer

Plano, TX

$110K - $132K/yr

Implement scalable data ingestion frameworks (batch and incremental) from diverse data sources (APIs, databases, files, cloud storage) * Build and optimize data transformation logic using Spark ...

Data Engineer

Atlanta, GA · On-site

$120K - $140K/yr

Key Skills Strong experience in ETL pipeline development Knowledge of batch and CDC data ingestion patterns Experience with data validation, monitoring, and troubleshooting Understanding of data ...

next page

Showing results 1-20

Data Ingestion information

See salary details

$24.5K

$126.1K

$173K

How much do data ingestion jobs pay per year?

As of Jun 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 is a data ingestion job?

A data ingestion job involves collecting, importing, and processing data from various sources into a storage system such as a data warehouse or data lake. It often requires knowledge of data pipelines, ETL (Extract, Transform, Load) processes, and tools like Apache NiFi, Kafka, or cloud services. These jobs ensure data is available for analysis and decision-making.

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 highest paying job in data?

In data-related fields, senior roles such as Data Engineering Managers, Data Architects, and Chief Data Officers tend to have the highest salaries, often exceeding six figures annually. These positions typically require extensive experience, advanced technical skills, and knowledge of tools like cloud platforms and data management systems.

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, and why are they important?

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.

Is data ingestion the same as ETL?

Data ingestion is the process of collecting and importing data from various sources into a storage system, while ETL (Extract, Transform, Load) involves extracting data, transforming it into a suitable format, and loading it into a target database. Data ingestion can be a part of an ETL pipeline but also includes simpler or real-time data collection methods that do not involve transformation. In data engineering roles, understanding both concepts and their tools, like Apache NiFi or Kafka, is important.

What skills are needed for data ingestion?

Data ingestion roles require skills in data processing, scripting languages like Python or SQL, and familiarity with data integration tools such as Apache NiFi or Talend. Knowledge of database management, data formats, and basic understanding of cloud platforms like AWS or Azure are also important for efficient data flow management.
More about Data Ingestion jobs
What cities are hiring for Data Ingestion jobs? Cities with the most Data Ingestion job openings:
What states have the most Data Ingestion jobs? States with the most job openings for Data Ingestion jobs include:
Infographic showing various Data Ingestion job openings in the United States as of June 2026, with employment types broken down into 1% Locum Tenens, 20% Full Time, 1% Part Time, 71% Contract, and 7% Nights. Highlights an 81% Physical, 6% Hybrid, and 13% Remote job distribution, with an average salary of $126,123 per year, or $60.6 per hour.

Senior Manager, Clinical Data Ingestion

Takeda

Concord, NC

Full-time

Dental, Vision, Life, Retirement, PTO

Posted 3 days ago


Job description

By clicking the "Apply" button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda's Privacy Notice and Terms of Use. I further attest that all information I submit in my employment application is true to the best of my knowledge.

Job Description

Are you looking for a patient-focused, innovation-driven company that will inspire you and empower you to shine? Join us as a Senior Manager, Clinical Data Ingestion in our Cambridge, MA office.

At Takeda, we are transforming the pharmaceutical industry through our R&D-driven market leadership and being a values-led company. To do this, we empower our people to realize their potential through life-changing work. Certified as a Global Top Employer, we offer stimulating careers, encourage innovation, and strive for excellence in everything we do. We foster an inclusive, collaborative workplace, in which our global teams are united by an unwavering commitment to deliver Better Health and a Brighter Future to people around the world.

Here, you will be a vital contributor to our inspiring, bold mission.

OBJECTIVES:

The Senior Manager, Clinical Data Ingestion is responsible foringesting, validating, and operationalizing clinical data feedsinto clinical data review platforms (e.g.,Veeva CDB,Elluminate,JReview) to enable efficient, high-quality clinical data review. This role focuses on strong ingestion principles, building and scalingreusable ingestion frameworks, and establishingmonitoring and controlsfor vendor transfers and enterprise sources (e.g.,EDC,CTMS) as well as managingdownstream exportsto enable analytics and programming teams.

ACCOUNTABILITIES:

  • Ingest clinical data fromEDC/CTMS and vendors(e.g., labs, eCOA, imaging, safety) intoVeeva CDB/Elluminate/JReviewper specifications and refresh cadence.

  • Execute and support file/API loads, includingmapping, transformations, referential integrity, and controlled reprocessing.

  • Apply ingestion best practices:standardization, automated QC/validation, reconciliation, auditability/lineage, and incremental loads.

  • Build and maintain areusable ingestion frameworkand standards (templates, metadata-driven mappings, reusable QC rules, runbooks) to accelerate onboarding and improve consistency.

  • Operate transfer monitoring and ingestion operations:expected vs received, timeliness/completeness checks, alerting/escalation, scheduling/re-runs, defect triage, and KPI/SLA tracking.

  • Ensure datasets arereview-readyand managedownstream exportsto internal consumers with clear data contracts and refresh expectations.

  • Partner with vendors and stakeholders to define/maintaintransfer specs and acceptance criteria; provide SME troubleshooting and document fixes for repeatable operations.

  • Follow controlled documentation and change practices for regulated clinical processes, maintainingvalidation/traceability evidenceand audit-ready records as required.

EDUCATION, BEHAVIORAL COMPETENCIES AND SKILLS:

Education:

  • BS/BA (or equivalent) plus 7+ years in data ingestion/integration. ETL/ELT operations, or clinical data pipeline support, ideally supporting clinical data review and recurring study/vendor transfers.

Technical Competencies

  • Preferred platform exposure: Experience ingesting data into Veeva CDB, Elluminate, and/or JReview (or comparable clinical data review systems).

  • Clinical data ingestion principles:Strong understanding of end-to-end ingestion concepts includingdata contracts/specifications, refresh cadence, incremental vs full loads, controlled reprocessing, reconciliation, and traceable lineage.

  • Data quality & review readiness:Ability to design/executeautomated QC/validation checks, completeness/timeliness verification, and reconciliation routines to ensure datasets arereview-ready.

  • Data formats & interfaces:Hands-on experience withCSV, JSON, XMLandfile-based and/or API-basedintegrations; familiarity with secure transfer patterns (e.g., SFTP/managed file transfer concepts).

  • Querying & scripting:StrongSQLskills; working proficiency inPython(preferred) or similar scripting to automate ingestion, QC, parsing, and operational tasks.

  • Frameworks & reusability:Demonstrated ability to build or extendreusable ingestion components(metadata-driven mappings, templates, reusable QC rules, standard runbooks).

  • Monitoring & operations:Experience building/using monitoring for transfers and pipelines (e.g.,expected vs received, timeliness/completeness checks, alerting, incident triage, reruns, KPI/SLA reporting).

Domain / Business Competencies

  • Source system familiarity:Working knowledge of common clinical sources such asEDC, CTMS, and vendor domains (e.g., labs, eCOA/ePRO, imaging, safety) and how those feeds typically arrive and change over time.

  • Downstream enablement:Understanding of downstream consumption needs (data review workflows, exports to CDM/analytics/programming) and ability to support stable, well-documented exports.

Compliance & Documentation

  • Controlled processes mindset:Strong documentation discipline (specs, mappings, runbooks, issue logs) and comfort operating incontrolled/regulatedenvironments.

  • Preferred:Exposure toGxP/CSV expectations, change control, and maintaining audit-ready operational evidence (as applicable to the organization/process).

Working Style:

  • Strong cross-functional communication and stakeholder management (vendors, CDM, data review, IT, analytics/programming.

  • Detail-oriented, highly organized, Strong collaboration and communication; organized, self-directed, proactive problem-solver and able to manage recurring operational workloads while driving issues to closure and preventing recurrence

This position is currently classified as " remote" in accordance with Takeda's Hybrid and Remote Work policy.

Empowering Our People to Shine

Discover more at takedajobs.com

No Phone Calls or Recruiters Please.

#LI-JV2

Takeda Compensation and Benefits Summary

We understand compensation is an important factor as you consider the next step in your career. We are committed to equitable pay for all employees, and we strive to be more transparent with our pay practices.

For Location:

USA - MA - Virtual

U.S. Base Salary Range:

$137,000.00 - $215,270.00


The estimated salary range reflects an anticipated range for this position. The actual base salary offered may depend on a variety of factors, including the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job.The actual base salary offered will be in accordance with state or local minimum wage requirements for the job location.

U.S. based employees may be eligible for short-term and/ or long-term incentives. U.S. based employees may be eligible to participate in medical, dental, vision insurance, a 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, a tuition reimbursement program, paid volunteer time off, company holidays, and well-being benefits, among others. U.S. based employees are also eligible to receive, per calendar year, up to 80 hours of sick time, and new hires are eligible to accrue up to 120 hours of paid vacation.

EEO Statement

Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, status as a Vietnam era veteran, special disabled veteran, or other protected veteran in accordance with applicable federal, state and local laws, and any other characteristic protected by law.

LocationsUSA - MA - VirtualWorker TypeEmployeeWorker Sub-TypeRegularTime TypeFull time

Job Exempt

YesIt is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.