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Full Time Ibm Data Engineer Jobs (NOW HIRING)

Nightwing

Data Engineer

Sterling, VA · On-site

$113K - $136K/yr

IBM Data Engineering Professional Certificate * IBM Data Warehouse Engineer Professional Certificate * Meta Database Engineer Professional Certificate At Nightwing, we value collaboration and ...

Nightwing

Data Engineer

Sterling, VA · On-site

$113K - $136K/yr

Azure Data Engineer Associate • Google Cloud Certified Professional Cloud Data Engineer • IBM Data Engineering Professional Certificate • IBM Data Warehouse Engineer Professional Certificate ...

Nwis

Data Engineer

Sterling, VA

$113K - $136K/yr

IBM Data Engineering Professional Certificate * IBM Data Warehouse Engineer Professional Certificate * Meta Database Engineer Professional Certificate At Nightwing, we value collaboration and ...

Diverse Lynx

GCP Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Diverse Lynx is seeking a GCP Data Engineer to join their team. The role involves defining data ... Tibco, IBM or others. • Databricks UI, Managing Databricks Notebooks, Delta Lake with Python ...

Purple Drive Technologies

Data Engineer

San Antonio, TX · On-site

$103K - $124K/yr

Data Engineer Location: San Antonio, TX (Onsite) Employment Type: Contract Opportunity We are ... The ideal candidate will have hands-on experience with IBM DataStage, Informatica, dbt, and modern ...

Purple Drive Technologies

Data Engineer

San Antonio, TX · On-site

$103K - $124K/yr

Contract We are looking for a highly skilled Data Engineer to design, develop, and maintain robust data solutions using IBM Datastage , Informatica , DBT , and modern cloud platforms. The candidate ...

HazeGrayCyber

Senior Data Analyst

Washington, DC · On-site

$97K - $122K/yr

IBM Data Engineering Professional Certificate * Google Cloud Certification: Cloud Data Engineer Professional Certificate * IBM Data Warehouse Engineer Professional Certificate Security * US ...

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Full Time Ibm Data Engineer information

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$44.5K

$129.7K

$177.5K

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

As of Jun 8, 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.

What are the key skills and qualifications needed to thrive as a Full Time IBM Data Engineer, and why are they important?

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

Data Engineer

Nightwing

Sterling, VA • On-site

$113K - $136K/yr

Full-time

Posted 23 days ago

Job description

Nightwing provides technically advanced full-spectrum cyber, data operations, systems integration and intelligence mission support services to meet our customers' most demanding challenges. Our capabilities include cyber space operations, cyber defense and resiliency, vulnerability research, ubiquitous technical surveillance, data intelligence, lifecycle mission enablement, and software modernization. Nightwing brings disruptive technologies, agility, and competitive offerings to customers in the intelligence community, defense, civil, and commercial markets.
Job Title: Data Engineer
Location: Sterling, VA
Clearance: TS/SCI Poly
**This position is CONTINGENT upon contract award**
The Data Engineer (DE) works with the Sponsor, Mission Partners, Platform and Operations team to engineer, install, operation, and sustain database/repositories (data lake, lake house, specialized databases) to include the data lifecycle from acquisition and ingest through curation and disposition. The DE ensures the data collections are processed from time of delivery at the landing zone. The DE works with Mission Partners to support their metrics, analytics, and dissemination. Daily tasks include, but are not limited to:
  • Develop and maintain data and metadata policies and procedures for structural design and development to build, maintain and leverage the unified data storage, data lake, and lake house. ensuring integration with SYSTEM data standards.
  • Engineer the design, development, deployment, implementation and support of major databases and metadata structures to include the review and evaluation of database performance and optimization.
  • Develop plans for, and tools to enhance, the transition of legacy data to the SYSTEM during install as well as transition of development and/or production environment to new technology
  • Recommend and plan server/ cloud compute/storage resource recapitalization for Sponsor consideration
  • Provide comprehensive assessments of the technical characteristics of proposed installations and alternatives considered to optimize database performance
  • Develop methods of ensuring data incompatibilities among systems are systematically eliminated
  • Diagnose, isolate and expediently resolve complex problems pertaining to data infrastructure
  • Baseline and forecast server performance data; refine server hardware and software configurations
  • Manage, monitor and administer database system performance/schedule activities; oversee daily performance; perform backups/restores; archive data; provide technical assistance and support
  • Monitor industry trends and directions in database technology and tools; develop and present substantive technical recommendations to the Sponsor.
  • Compose technical documents including Design, Deployment, System specifications and Mission Partner baselines, updates, user's manuals, training materials, installation guides, proposals, and reports.

Required Skills:
  • SQL: Proficiency in writing and executing SQL queries for data manipulation and analysis.
  • Data Modeling: Understanding of data modeling principles and ability to design data structures that meet business requirements.
  • ETL/ELT Processes: Experience with Extract, Transform, and Load (ETL) or Extract, Load, and Transform (ELT) processes and tools.
  • Cloud Platforms: Familiarity with cloud computing platforms such as AWS, Azure, or Google Cloud Platform.
  • Programming Languages: Proficiency in Python or Java for data manipulation and scripting.
  • Data Warehousing: Understanding of data warehousing concepts and experience with data warehouse technologies.
  • Data Governance and Security: Knowledge of data governance principles and best practices for data security and privacy.

Desired Skills:
  • Big Data Technologies: Experience with technologies like Apache Hadoop, Spark, or Kafka.
  • Data Visualization: Ability to create data visualizations using tools like Tableau or Power BI.
  • Data Pipeline Orchestration: Experience with data pipeline orchestration tools like Airflow or Luigi.
  • Data Quality Tools: Familiarity with data quality tools and techniques for identifying and resolving data quality issues.
  • Data Wrangling: Experience with data wrangling techniques for cleaning, transforming, and preparing data for analysis.

Desired Certs:
  • AWS Certified Data Analytics Specialty
  • Microsoft Certified: Azure Data Engineer Associate
  • Google Cloud Certified Professional Cloud Data Engineer
  • IBM Data Engineering Professional Certificate
  • IBM Data Warehouse Engineer Professional Certificate
  • Meta Database Engineer Professional Certificate

At Nightwing, we value collaboration and teamwork. You'll have the opportunity to work alongside talented individuals who are passionate about what they do. Together, we'll leverage our collective expertise to drive innovation, solve complex problems, and deliver exceptional results for our clients.
Thank you for considering joining us as we embark on this new journey and shape the future of cybersecurity and intelligence together as part of the Nightwing team.
Nightwing is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.

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