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Ibm Data Engineer Jobs (NOW HIRING)

Data Engineer

Sterling, VA · On-site

$113K - $136K/yr

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

IBM Data Engineering Professional Certificate * IBM Data Warehouse Engineer Professional Certificate * Meta Database Engineer Professional Certificate Salary & Benefits The salary associated with ...

Data Engineer

Sterling, VA · On-site

$122K - $253K/yr

IBM Data Engineering Professional Certificate * IBM Data Warehouse Engineer Professional Certificate * Meta Database Engineer Professional Certificate Salary & Benefits The salary associated with ...

Data Engineer

Fairfax, VA · On-site

$117K - $140K/yr

IBM Data Architect * CompTIA DataSys+ certifications Security Clearance Requirements: * Must be a U.S. Citizen * Must have an active DoD Secret clearance. Work Location: 3 days in Fairfax, VA, 2 days ...

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 ...

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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IBM Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do ibm data engineer jobs pay per year?

As of Jul 18, 2026, the average yearly pay for 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.

Can I make 200K as a data engineer?

Senior IBM Data Engineers with extensive experience, advanced skills in cloud platforms, big data tools, and certifications can potentially earn salaries around or above $200,000 annually, especially in high-cost-of-living areas. Entry-level or mid-level data engineers typically earn less, with salaries increasing based on expertise, location, and industry demand.

What is an IBM Data Engineer job?

An IBM Data Engineer is responsible for designing, building, and managing data pipelines and architectures to support data-driven decision-making. They work with data integration, ETL processes, cloud platforms, and big data technologies to ensure efficient data flow. IBM Data Engineers collaborate with data scientists, analysts, and business stakeholders to optimize data accessibility and performance. Their role often involves using IBM technologies such as IBM Cloud, Db2, and Watson Studio to implement scalable data solutions. Strong skills in SQL, Python, and data modeling are essential for success in this role.

What are typical day-to-day tasks for an IBM Data Engineer?

As an IBM Data Engineer, your daily responsibilities often include designing and building data pipelines, integrating data from various sources, and ensuring the reliability and quality of data architecture. You may work closely with data scientists, analysts, and business stakeholders to understand requirements and optimize data workflows. Regular tasks involve maintaining and troubleshooting ETL processes, performing data validation, and documenting solutions. Collaboration within agile teams is common, and staying updated on IBM technologies and best practices is critical for ongoing success.

Is IBM a good company for data engineers?

IBM is a well-established technology company that employs data engineers to work on large-scale data projects, often involving cloud platforms, AI, and analytics tools. The company offers opportunities for skill development in areas like data pipelines, SQL, and cloud certifications, making it a reputable employer for data engineering roles.

How much does a data engineer at IBM make?

A data engineer at IBM typically earns between $90,000 and $130,000 annually, depending on experience, location, and skill level. Salaries can vary based on certifications, such as cloud or big data tools, and the complexity of projects handled.

What are the key skills and qualifications needed to thrive in the Ibm Data Engineer position, and why are they important?

To thrive as an IBM Data Engineer, you need strong proficiency in data modeling, ETL processes, and SQL or Python programming, typically supported by a bachelor’s degree in computer science, engineering, or a related field. Expertise with IBM data tools like IBM DataStage, IBM Cloud Pak for Data, and knowledge of big data platforms such as Hadoop or Spark, along with relevant IBM certifications, are highly valuable. Effective problem-solving abilities, attention to detail, and collaboration skills help you excel in cross-functional teams and adapt to evolving project needs. These skills and qualities are essential for designing robust data pipelines and delivering reliable, enterprise-level data solutions.

Is it hard to get hired by IBM?

Getting hired as an IBM Data Engineer can be competitive, requiring strong technical skills in data processing, programming, and cloud platforms like IBM Cloud or AWS. Candidates often need relevant experience, certifications, and a solid understanding of data architecture to improve their chances.
More about IBM Data Engineer jobs
What cities are hiring for Ibm Data Engineer jobs? Cities with the most Ibm Data Engineer job openings:
What are the most commonly searched types of Ibm Data Engineer jobs? The most popular types of Ibm Data Engineer jobs are:
What states have the most Ibm Data Engineer jobs? States with the most job openings for Ibm Data Engineer jobs include:
Infographic showing various Ibm Data Engineer job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Engineer

Nightwing

Sterling, VA • On-site

$113K - $136K/yr

Full-time

Re-posted 2 days ago


Job description

Job Summary:
Nightwing Intelligence Solutions is a company that provides advanced cyber and data operations services. They are seeking a Data Engineer to work on engineering, installing, operating, and sustaining databases and repositories, ensuring data collections are processed efficiently and supporting mission partners with their analytics and dissemination needs.
Responsibilities:
• 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.
Qualifications:
Required:
• 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.
Preferred:
• 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.
• 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
Company:
Nightwing provides cyber, data operations, systems integration, and intelligence services for government and commercial customers. Founded in 2024, the company is headquartered in Sterling, USA, with a team of 1001-5000 employees. The company is currently Late Stage.