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Ibm Data Engineer Jobs in Washington (NOW HIRING)

Hirekeyz Inc

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 ...

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 ...

Ignite Digital

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:

Accenture Federal Services

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 ...

Accenture Federal Services

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 ...

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)

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)

Leidos

Principal Data Engineer

Bethesda, MD · On-site

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

Leidos

Principal Data Engineer

Bethesda, MD · On-site

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 ...

Leidos

Principal Data Engineer

Bethesda, MD · On-site

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

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$146.9K

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How much do ibm data engineer jobs pay per year?

As of Sep 9, 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.

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Ibm Data Engineer jobs near you
Infographic showing various Ibm Data Engineer job openings in Washington as of September 2026, with employment types broken down into 66% Full Time, and 34% Contract. Highlights an 59% In-person, and 41% Remote job distribution, with an average salary of $146,916 per year, or $70.6 per hour.

Data Engineer

Fairfax, VA • On-site

Hirekeyz Inc
See more jobs at Hirekeyz Incexternal

$117K - $140K/yr

Contractor

Re-posted 29 days ago

Job description

Role: Data Engineer

Location: Onsite in Fairfax, VA 3 days and in Washington, DC 2 days per week.

Duration: Long Term Contract

Positions Require a Secret Clearance

JOB DESCRIPTION


The Data Engineer role requires a candidate with 10 years of expertise in database development, engineering, modernization, and data virtualization. The role includes leading complex data migration efforts, building scalable data pipelines, engaging directly with business users, and supporting enterprise O&M operations. This role requires strong technical architecture skills, modern data engineering practices, and the ability to deliver robust, secure, and high‑performance data solutions across hybrid and cloud environments.

Primary Responsibilities: 

  • Architect and develop scalable data models, curated datasets, and analytics-ready structures for reporting, BI, machine learning, and operational workloads.
  • Implement modern data architectures including data lakes, data warehouses, and data virtualization layers.
  • Lead large-scale data migration projects involving legacy-to-modern platforms, cloud migrations, cross-database transfers, and multi-environment synchronization.
  • Develop migration plans, ETL pipelines, scripts, and automated workflows ensuring accuracy, integrity, and minimal downtime.
  • Conduct pre‑migration assessments, risk analysis, and post‑migration validation.
  • Oversee O&M activities for enterprise data ecosystems, including pipeline reliability, job orchestration, monitoring, and optimization.
  • Establish automated workflows for data refresh cycles, error handling, lineage tracking, and performance tuning.
  • All other duties as assigned by management.

Skills and Qualifications:

  • Bachelor’s degree in computer science or a technical field
  • 15+ years in computer science and database development, modernization, and data virtualization
  • 8+ years in project planning, business analysis and user engagement.
  • Experience performing data migrations from legacy data stores on-premise to AWS GovCloud
  • Experience with cloud-based architecture, preferably AWS data services (RDS, Aurora, DynamoDB, Redshift, Glue, DMS) and AWS Data Analytics.
  • Strong scripting capabilities (Python, PowerShell, Bash) for automation and migration tasks.
  • Excellent communication and management skills.

Certifications Preferred:

  • AWS Data Analytics
  • 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 in Washington, D.C.