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Full Time Ibm Data Engineer Jobs (NOW HIRING)

Imagineeer LLC

Data Engineer

Arlington, VA · On-site

$130K - $157K/yr

Imagineeer is seeking a Data Engineer to support the design, development, and maintenance of secure ... Current database or cloud certifications (AWS, Azure, Oracle, IBM DB2, CDMP, or equivalent)

McLane Company

Sr. Data Engineer

Temple, TX · Hybrid

$92K - $111K/yr

... for IBM Cognos Analytics reporting Partner with analysts, data scientists, and business ... Engineer or in a similar role Advanced SQL expertise across DB2, Oracle, and SQL Server Strong ...

Prescient Edge

Senior Data Scientist

Colorado Springs, CO · On-site

$135K - $210K/yr

... Full-Time Career Level Staff Education Associate Degree Travel Security Clearance Required TS/SCI ... Demonstrate knowledge of NSA data architecture, Application Programming Interfaces (APIs), and ...

Centraprise

IBM DataStage Developer

Charlotte, NC · On-site

Charlotte, NC (ONSITE) Job Type : Full-Time VIRTUAL DRIVE/Video Interview planed on 29th July ... Hands-on experience with IBM CloudPak for Data (CP4D) Version 4.5. Advanced SQL and PL/SQL ...

RFA Engineering

Data Engineer

Urbandale, IA · On-site

$80K - $120K/yr

This is a full-time position with a full benefit package listed below that includes opportunities ... Data Engineer As a Data Engineer, you will enable engineers, analysts, and data scientists to more ...

City of New York

Data Engineer

Manhattan, NY · On-site

$125K - $150K/yr

The Data Engineer will play a key role in supporting the Department of Sustainable Delivery (DSD ... full-time experience related to datacenter engineering and operations, cloud engineering and ...

City of New York

Data Engineer

Manhattan, NY

$125K - $150K/yr

The Data Engineer will play a key role in supporting the Department of Sustainable Delivery (DSD ... full-time experience related to datacenter engineering and operations, cloud engineering and ...

The Data Sherpas

Data Engineer - GCP

Atlanta, GA · On-site +1

$110K - $132K/yr

Our Google Cloud Data Engineer will play a key role in designing, developing, and managing scalable ... This position is open to multiple engagement models, including Permanent/Full-Time, Contract, or ...

The Data Sherpas

Data Engineer - GCP

Atlanta, GA · On-site +1

$110K - $132K/yr

Our Google Cloud Data Engineer will play a key role in designing, developing, and managing scalable ... This position is open to multiple engagement models, including Permanent/Full-Time, Contract, or ...

The Data Sherpas

Data Engineer - GCP

Atlanta, GA · Remote

$117K - $140K/yr

Our Google Cloud Data Engineer will play a key role in designing, developing, and managing scalable ... This position is open to multiple engagement models, including Permanent/Full-Time, Contract, or ...

City of New York

Data Engineer

Manhattan, NY · On-site

$125K - $150K/yr

The Data Engineer will play a key role in supporting the Department of Sustainable Delivery (DSD ... full-time experience related to datacenter engineering and operations, cloud engineering and ...

DataSpring

Data Engineer

$100K - $115K/yr

The Data Engineer is a full-time, remote, exempt position and reports to the Sr. Director, Data Engineering & Architecture. Specific Responsibilities Data Engineering & Architecture * Build and ...

Strategic Employment

Data Engineer

Detroit, MI · Hybrid

$113K - $135K/yr

This is a full-time, direct hire role. Salary: Up to 113K DOE! Location: Detroit, Hybrid Ideal candidate will have: * 3+ years in stakeholder-facing Data Engineering/Data Analytics position

The Data Sherpas

Data Engineer - GCP

Atlanta, GA · On-site

$110K - $132K/yr

Our Google Cloud Data Engineer will play a key role in designing, developing, and managing scalable ... This position is open to multiple engagement models, including Permanent/Full-Time, Contract, or ...

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All JobsIbm Data Engineer JobsFull Time Ibm Data Engineer Jobs

Full Time Ibm Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do full time ibm data engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for full time ibm data 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 the difference between Full Time Ibm Data Engineer vs Data Analyst?

AspectFull Time Ibm Data EngineerData Analyst
Required CredentialsBachelor's in Computer Science, Data Engineering certifications, IBM-specific trainingBachelor's in Statistics, Data Analysis, or related field; certifications like Microsoft Data Analyst
Work EnvironmentData engineering teams, cloud platforms, enterprise IT environmentsBusiness units, reporting tools, data visualization platforms
Employer & Industry UsageTech companies, finance, healthcare using IBM technologiesRetail, marketing, finance across various industries

Full Time IBM Data Engineers focus on building and maintaining data pipelines, working with large-scale data systems, and implementing data architecture using IBM tools. Data Analysts interpret data, create reports, and support decision-making. While both roles work with data, Data Engineers handle infrastructure, whereas Data Analysts focus on insights and visualization.

What are some common challenges faced by full time IBM data engineers, and how can they be addressed?

Full-time IBM Data Engineers often encounter challenges such as integrating data from diverse sources, ensuring data quality, and optimizing data pipelines for performance. Working with large-scale enterprise systems requires familiarity with IBM's data platforms and cloud services, as well as strong problem-solving skills. Collaborating closely with data scientists, analysts, and other engineers is essential for aligning data solutions with business needs. Staying current with IBM's evolving technologies and participating in ongoing training can help address these challenges effectively.

Are full time IBM data engineers still in demand?

Full-time IBM data engineers are still in demand due to the ongoing need for data management, analytics, and cloud integration skills. Proficiency in tools like SQL, Python, and cloud platforms such as IBM Cloud or AWS enhances job prospects in this field.

What are the key skills and qualifications needed to thrive as a full time IBM data engineer?

To thrive as a Full Time IBM Data Engineer, you need strong skills in data modeling, SQL, programming languages like Python or Scala, and a relevant degree in computer science or engineering. Familiarity with IBM data platforms (such as IBM Db2, IBM Cloud Pak for Data, or IBM DataStage), big data frameworks, and certifications like IBM Certified Data Engineer are often required. Analytical thinking, problem-solving, and effective communication are crucial soft skills for collaborating with cross-functional teams and translating business needs into technical solutions. These competencies enable data engineers to design robust data pipelines, ensure data quality, and drive informed decision-making within organizations.

What does a full time IBM data engineer do?

A Full Time IBM Data Engineer is responsible for designing, building, and maintaining data pipelines and architectures to support large-scale data processing within organizations using IBM technologies. They work with data integration, transformation, and storage solutions, ensuring data is accessible, reliable, and secure for analytics and business intelligence. Their role often includes collaborating with data scientists, analysts, and other IT professionals to optimize data workflows and implement best practices for data management.
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Full Time Ibm Data Engineer jobs near you
Infographic showing various Full Time Ibm Data Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Engineer

Imagineeer LLC

Arlington, VA • On-site

$130K - $157K/yr

Full-time

Medical, Retirement, PTO

Re-posted 14 days ago

Job description

Benefits:
  • 401(k) matching
  • Competitive salary
  • Health insurance
  • Paid time off

About this Role:
Imagineeer is seeking a Data Engineer to support the design, development, and maintenance of secure, compliant data pipelines and enterprise data platforms within DoD and federal healthcare environments.
This role focuses on building scalable ingestion frameworks, implementing secure data transformation workflows, and ensuring all engineering activities align with federal cybersecurity, privacy, and records management standards. You will operate in regulated IL4/IL5 cloud environments and work directly with data architects, cybersecurity teams, and data scientists to deliver trusted, audit-ready data infrastructure.
Key Responsibilities:
Pipeline Design and Development
  1. Design, develop, and maintain secure ETL/ELT data pipelines in IL4/IL5 cloud environments
  2. Build scalable ingestion frameworks integrating structured and unstructured data sources
  3. Develop API-based and streaming ingestion mechanisms
  4. Integrate enterprise systems including MHS GENESIS, TRICARE, and United States Transportation Command
  5. Enforce data validation, schema enforcement, and metadata tagging standards across all pipelines

Security and Compliance Engineering
  1. Implement encryption in transit and at rest in accordance with DoD and NIST requirements
  2. Develop automated logging, monitoring, and audit trails for all data ingestion and transformation activities
  3. Support implementation of ABAC and RBAC mechanisms
  4. Assist with RMF documentation and ATO package development
  5. Participate in DevSecOps pipeline implementation and CI/CD automation

Data Governance and Cataloging
  1. Support data cataloging, metadata management, and lineage tracking initiatives
  2. Apply data quality checks and fitness-for-use assessments across high-visibility datasets
  3. Document engineering methods and pipelines to support Government sustainment and knowledge transfer

Qualifications and Skills:
  1. 5 to 10 years of experience in data engineering or enterprise data platform development
  2. Experience supporting DoD or federal civilian agencies
  3. Hands-on experience with IL4/IL5 cloud environments (AWS GovCloud, Azure Government, or equivalent)
  4. Strong proficiency in SQL and Python
  5. Experience building pipelines using Spark or distributed processing frameworks
  6. Familiarity with DevSecOps and CI/CD practices
  7. Understanding of NIST 800-series security controls and federal compliance environments
  8. Experience implementing encryption, logging, and monitoring controls
  9. Must be able to obtain a Public Trust clearance

Desired Skills and Competencies:
  1. Experience supporting Military Health System or federal healthcare environments
  2. Experience with lakehouse platforms (Databricks, Snowflake, or similar)
  3. Experience implementing metadata catalogs and data lineage tools (Collibra, Apache Atlas, Alation, Informatica, or equivalent)
  4. Familiarity with zero-trust architecture principles
  5. Knowledge of automated records retention and disposition workflows
  6. Strong documentation skills supporting compliance and audit readiness
  7. Experience collaborating with architects, data scientists, and cybersecurity teams in Agile or DevSecOps environments
  8. Current database or cloud certifications (AWS, Azure, Oracle, IBM DB2, CDMP, or equivalent)
  9. Technical certification in compliance with DoD Directive 8140 (CompTIA Sec+, CISSP, CISM, CEH, or equivalent)
  10. Active DoD clearance

Equal Opportunity Employer:
We are an Equal Opportunity Employer and do not discriminate in employment decisions on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other status protected by applicable federal, state, or local laws. All employment decisions are based on business needs, job requirements, and individual qualifications.
Flexible work from home options available.
About Us
Our Approach
We firmly believe in the uniqueness of every business, necessitating a personalized approach to transformation. This conviction drives us to invest time in comprehending an organization's historical challenges and operational framework. Our commitment is to foster innovation by adopting a tailored strategy that optimizes the utilization of an organization's human resources and data assets. With a wealth of experience, we specialize in guiding organizations through the implementation of post-quantum security, protocols for autonomy, and artificial intelligence.
We are committed to working with clients to positively disrupt, modernize, and transform their organizations and business processes. Noteworthy achievements include initiatives aimed at enhancing human resilience in the food supply chain, leveraging autonomy for streamlined operations, establishing root-of-trust capabilities for high-quality, trusted data, and designing ecosystems and tools for securing and transferring digital value through digital wallets. . Our proficiency extends to using artificial intelligence and data to fortify security and enhance visibility in data assets, aiding in the management of health issues at local, state, and national levels. We've developed a modern security posture to effectively mitigate risks associated with cyber attacks from nation-states. Our wealth of experience is underpinned by collaborative work with diverse multidisciplinary teams, thriving in highly complex and rapidly changing environments.

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