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Contract Ibm Data Engineer Jobs (NOW HIRING)

$109K - $130K/yr

Don't send Sr Level Developer * Bachelor's degree Desired ... IBM Cloud * Datastage * DB2 * watsonX.ai * Supply Chain WHAT YOU'LL DO * Automate data wrangling ...

Sr. Data Engineer

Houston, TX · On-site

$109K - $131K/yr

... IBM iseries platform and Oracle, including large data ingestion, replication, persistence ... Bachelor's Degree in Computer Science, Computer Engineering, Computer Information Systems ...

Senior Data Engineer

Brooklyn, NY

$115K - $156K/yr

In this capacity, Data Engineer will: - Design and implement end-to-end ETL pipelines using IBM DataStage for legacy and modern data sources. - Develop and maintain source-to-target mappings (STTM ...

Senior Data Engineer

Brooklyn, NY

$115K - $156K/yr

In this capacity, Data Engineer will: - Design and implement end-to-end ETL pipelines using IBM DataStage for legacy and modern data sources. - Develop and maintain source-to-target mappings (STTM ...

Senior Data Engineer

Brooklyn, NY · On-site

$125K - $150K/yr

In this capacity, Data Engineer will: - Design and implement end-to-end ETL pipelines using IBM DataStage for legacy and modern data sources. - Develop and maintain source-to-target mappings (STTM ...

Sr. Data Engineer

Houston, TX · On-site

$109K - $131K/yr

... IBM iseries platform and Oracle, including large data ingestion, replication, persistence ... Bachelor's Degree in Computer Science, Computer Engineering, Computer Information Systems ...

Big Data Engineer

Atlanta, GA · On-site

$53.50 - $71/hr

Big Data Engineer Location: Atlanta GA - Hybrid Duration: 12 months The successful candidate must ... Strong knowledge of Messaging Platforms like Kafka, Amazon MSK & TIBCO EMS or IBM MQ Series

Data Engineer

Jersey City, NJ · On-site

$125K - $150K/yr

Contract to hire Duration: 12+ Months Location: Jersey City, NJ, and Columbus, OH - Hybrid 3 Days in Office. As a Data Engineer: We are looking for an exceptional candidate that shares our passion ...

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Contract Ibm Data Engineer information

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$44.5K

$129.7K

$177.5K

How much do contract ibm data engineer jobs pay per year?

As of Jul 11, 2026, the average yearly pay for contract 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.

Does IBM hire contractors?

Yes, IBM hires contractors for various roles, including data engineering positions like Contract IBM Data Engineer. These contracts often involve project-based work, require specific skills such as data management and cloud tools, and can vary in duration and scope. Contract roles at IBM are common in technology and consulting divisions to meet specific client or project needs.

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 certifications. The role often requires proficiency in SQL, Python, and cloud platforms like AWS or Azure.

What is the difference between Contract Ibm Data Engineer vs Contract Spark Data Engineer?

AspectContract Ibm Data EngineerContract Spark Data Engineer
Required CredentialsTypically requires IBM certifications, SQL, Python, and data engineering skillsRequires Spark certifications, SQL, Python/Scala, and data processing skills
Work EnvironmentOften in enterprise settings using IBM Cloud, Watson, or IBM DataStageCommonly in big data environments using Apache Spark on cloud or on-premises
Employer & Industry UsageUsed by organizations leveraging IBM data platforms in finance, healthcare, and enterprise sectorsUsed by companies focusing on big data analytics, AI, and scalable data processing

The main difference between a Contract Ibm Data Engineer and a Contract Spark Data Engineer lies in the technology stack and platform focus. IBM Data Engineers work primarily with IBM-specific tools and cloud services, while Spark Data Engineers focus on big data processing with Apache Spark. Both roles require strong data engineering skills, but their platform expertise and typical industry applications differ.

What engineer makes $500,000 a year?

A senior or specialized data engineer, such as a contract IBM data engineer with extensive experience and expertise in big data tools and cloud platforms, can potentially earn $500,000 annually. Such high salaries are typically associated with senior-level roles, consulting positions, or those working in high-demand industries with advanced certifications and skills.

Can I make 200K as a data engineer?

Contract IBM data engineers with extensive experience, specialized skills in big data tools, and certifications can potentially earn 200K or more annually, especially in high-demand markets. Salary levels depend on factors such as location, project complexity, and the level of expertise required.
More about Contract Ibm Data Engineer jobs
What cities are hiring for Contract Ibm Data Engineer jobs? Cities with the most Contract 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 Contract Ibm Data Engineer jobs? States with the most job openings for Contract Ibm Data Engineer jobs include:
Infographic showing various Contract Ibm Data Engineer job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 62% Full Time, 19% Part Time, 1% Temporary, and 17% Contract. Highlights an 80% Physical, 2% Hybrid, and 18% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Data Bricks Data Engineer

Data Bricks Data Engineer

Tata Consultancy Services

Seattle, WA • On-site

$130K - $156K/yr

Full-time

Posted 18 days ago


Tata Consultancy Services rating

6.5

Company rating: 6.5 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

157th of 210 rated it services


Job description

Job Summary:
Tata Consultancy Services is seeking a Senior Data Bricks Data Engineer to join their team. The role involves designing, developing, and maintaining data pipelines and ETL/ELT workflows, as well as optimizing large-scale data processing workloads in Azure Databricks.
Responsibilities:
• Design, develop, and maintain end-to-end data pipelines and ETL/ELT workflows using PySpark and Python.
• Ensure and lead the efforts to review Legacy Data Stage legacy code and migrated Data bricks code to ensure functionality is not deviated
• Implement, optimize, and monitor large-scale data processing workloads in Azure Databricks, including cluster configuration, autoscaling, and governance.
• Build and maintain data integration and orchestration solutions using Azure services to meet performance, availability, and security requirements.
• Collaborate with data consumers, thread authors/owners, and stakeholders to gather business requirements, prioritize needs, and translate analytical objectives into technical designs.
• Implement secure data access patterns using Azure Active Directory, Managed Identities, and service principals.
• Author Infrastructure-as-Code for Azure resources (ARM templates) and deploy consistent, repeatable environments.
• Configure and operate Azure components including Storage Account, Synapse, Key Vault, VMSS, Function Apps, Web Apps, Log Analytics Workspace, Azure Container Apps / container instances, and related services.
• Collaborate with networking and security teams to design and implement Azure networking for data solutions.
• Implement monitoring, alerting, and cost optimization for data workloads (Log Analytics, metrics, and dashboards).
• Use GitLab and Azure DevOps for source control, CI/CD pipelines, and release management.
• Follow Agile/Scrum practices and participate in sprint planning, standups, and retrospectives.
• Ensure solutions meet data governance, lineage, and compliance requirements.
• Operations Support and Oncall Support for Production Issues and Deployments.
Qualifications:
Required:
• BACHELOR OF COMPUTER SCIENCE
• 8 - 15 Years of experience
• Awareness of IBM Data Stage ETL/ELT data integration tool to understand existing code.
• Develop, Test, Deploy, Optimize, and monitor large-scale data processing workloads in Azure Data Bricks ETL.
• Ensure and lead the efforts to review Legacy Data Stage legacy code and migrated Data bricks code to ensure functionality is not deviated.
• Strong programming skills in Python and PySpark.
• Advanced proficiency writing SQL for analytics and ETL processes.
• Proven experience building and optimizing complex data pipelines in Azure.
• Hands-on experience with Azure Databricks: cluster management, job scheduling, workspace governance.
• Strong working knowledge of core Azure services: Storage Account, Synapse, Key Vault, VMSS, Function Apps, Web Apps, Log Analytics Workspace, service principals, and managed identities.
• Experience with container services (ACA, container instances) and containerized data workloads.
• Familiarity with Azure networking concepts and secure network integration for data platforms.
• Experience creating Azure infrastructure using ARM templates.
• Proficient with GitLab and Azure DevOps for CI/CD and source control workflows.
• Strong analytical, problem-solving, and communication skills; proven ability to work cross-functionally.
• Experience working in Agile teams and understanding of data governance frameworks.
• Hands-on experience provisioning Databricks resources with Terraform; ability to author and maintain Terraform templates and modules.
• Demonstrated experience implementing cluster autoscaling and autoscaling policies through Terraform.
• Experience creating reusable Terraform modules and implementing infrastructure-as-code best practices (module structure, state management, remote backends).
• Proven experience working on Databricks platform operations, including cluster configuration, job orchestration, and platform optimization.
• Experience configuring high-availability Databricks deployments and operating across multiple availability zones/regions.
• Familiarity with Metastore/Unity Catalog configuration and metadata governance in Databricks.
• Hands-on experience building data pipelines and ingestion workflows into medallion-layer architectures (bronze/silver/gold).
• Strong scripting skills (Python, Bash, or similar) and familiarity with CI/CD for Terraform and Databricks deployments.
• Strong troubleshooting, performance tuning, and cost optimization skills.
Company:
Tata Consultancy Services is a business solutions company that specializes on information technology services and consulting. It is a sub-organization of Tata Group. Founded in 1968, the company is headquartered in Mumbai, IND, with a team of 10001+ employees. The company is currently Late Stage.

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About Tata Consultancy Services

Sourced by ZipRecruiter

Tata Consultancy Services is an IT services, consulting and business solutions organization that delivers real results to global business, ensuring a level of certainty no other firm can match. TCS offers a consulting-led, integrated portfolio of IT, BPO, infrastructure, engineering, and assurance services. This is delivered through its unique Global Network Delivery Model™, recognized as the benchmark of excellence in software development. TCS delivers a level of certainty that no other firm can match--to our clients and to our employees. Come join us and experience certainty in your career. TCS a global Consulting and IT Services firm that is ranked in the top quartile by industry analysts. Our 2021 fiscal revenues topped $25 B and our market capitalization is over $170+B, yet we have a deep and large history of philanthropy and corporate social responsibility. Now approaching 600K of the best IT professionals and consultants, we are a trusted advisor, guiding our clients' enterprises through growth and transformation journeys - helping them to become agile, intelligent, automated and on the cloud. We are devoted to DEI and are recognized as a top employer and place to work.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Edison, NJ, US