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Ibm Data Engineer Jobs in Washington (NOW HIRING)

Data Engineer

Sterling, VA · On-site

$122K - $253K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

Data Engineer

Silver Spring, MD

$118K - $142K/yr

The Data Engineer will partner with other Data Engineers to evaluate and prototype new tools and ... Lead modernization initiatives migrating legacy platforms including IBM DataStage , Hadoop ...

Data Engineer

Washington, DC · On-site

$93K - $176K/yr

Data engineering certification such as Palantir Foundry Data Engineer, Azure Data Engineer Associate, Google Professional Data Engineer, IBM Certified Data Engineer, or similar As required by local ...

Data Engineer

Washington, DC · On-site

$93K - $176K/yr

Data engineering certification such as Palantir Foundry Data Engineer, Azure Data Engineer Associate, Google Professional Data Engineer, IBM Certified Data Engineer, or similar As required by local ...

Mid Data Engineer

Washington, DC · Hybrid

$129K - $155K/yr

Data engineering certification (e.g. Azure, Google, IBM, Palantir). * Experience working with federal clients. Clearance Requirements: * Active Secret or TS/SCI eligible. Education & Experience:

Data Engineer

Arlington, VA · On-site

$93K - $176K/yr

Data engineering certification such as Palantir Foundry Data Engineer, Azure Data Engineer Associate, Google Professional Data Engineer, IBM Certified Data Engineer, or similar As required by local ...

Data Engineer

Arlington, VA · On-site

$130K - $157K/yr

  • Medical

  • Retirement

  • PTO

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)

Data Engineer

Arlington, VA · On-site

$130K - $157K/yr

  • Medical

  • Retirement

  • PTO

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)

Cleared Data Engineer

Washington, DC · On-site

$93K - $176K/yr

Data engineering certification such as Palantir Foundry Data Engineer, Azure Data Engineer Associate, Google Professional Data Engineer, IBM Certified Data Engineer, or similar Security Clearance:

Principal Data Engineer

Bethesda, MD · On-site

$131 - $237/hr

  • Medical

  • Retirement

  • PTO

Experience with IBM InfoSphere MDM administrative tools, workbench, and configuration utilities ... data services (e.g., S3, RDS, SQS) * Familiarity with Java or similar programming languages for ...

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Ibm Data Engineer information

See Washington salary details

$50.4K

$146.9K

$201K

How much do ibm data engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for ibm data engineer in Washington is $146,916.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,700.00 and $155,700.00 per year, depending on experience, location, and employer.

What is an IBM data engineer?

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 does an IBM data engineer do?

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.

What are the key skills and qualifications needed to thrive as an IBM data engineer?

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.

Are IBM Data Engineers still in demand?

IBM Data Engineers are in demand as organizations continue to prioritize data management, analytics, and cloud integration. Skills in SQL, Python, and cloud platforms like IBM Cloud or AWS enhance job prospects in this field.

What are the most commonly searched types of Ibm Data Engineer jobs in Washington?

The most popular types of Ibm Data Engineer jobs in Washington are:

What are popular job titles related to Ibm Data Engineer jobs in Washington?

For Ibm Data Engineer jobs in Washington, the most frequently searched job titles are:

What cities in Washington are hiring for Ibm Data Engineer jobs?

Cities in Washington with the most Ibm Data Engineer job openings:

Infographic showing various Ibm Data Engineer job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $146,916 per year, or $70.6 per hour.

Data Engineer

Nwis

Sterling, VA • On-site

$122K - $253K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 25 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


Salary & Benefits

The salary associated with this position ($122,000-$253,000) is commensurate with the selected candidate's qualifications, years of relevant experience, and demonstrated level of expertise. Compensation will be determined based on these factors to ensure alignment with skills, responsibilities, and market standards.


Nightwingoffers medical, vision and dental insurance coverage in addition to a 401k plan, PTO, Holidays, and additional insurances.


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.