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Full Time Ibm Data Engineer Jobs (NOW HIRING)

Accenture Federal Services

Data Engineer

$117K - $140K/yr

... Engineer, IBM Certified Data Engineer, or similar Company : Accenture Federal Services is a leading US federal services company and subsidiary of Accenture. Founded in 1989, the company is ...

Accenture Federal Services

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

... Engineer, IBM Certified Data Engineer, or similar Company : Accenture Federal Services is a leading US federal services company and subsidiary of Accenture. Founded in 1989, the company is ...

ComResource

Data Engineer

Cincinnati, OH

$109K - $131K/yr

ComResource is looking for a Data Engineer. We need someone to assist in calculating FDIC insurance ... Desired: * Experience with IBM DB2 and DataStage. * Familiarity with modern data tools like ...

Sonsoft Inc

IBM API Connect

Hartford, CT

Exposure to IBM Data Power * Experience in Agile Project Delivery * Analytical skills ... This is a Full-Time / Permanent job opportunity . Only US Citizen, Green Card Holder, GC-EAD,H4-EAD ...

Smart Data

2206 Data Engineer I

Cincinnati, OH

$64K - $71K/yr

Build and maintain simple data pipelines with guidance (dbt, IBM DataStage, M365 Power Platform ... engineering workflows * Troubleshoot pipeline and data issues with team support * Apply data ...

Sonsoft Inc

IBM API Connect

Hartford, CT

Exposure to IBM Data Power * Experience in Agile Project Delivery * Analytical skills * Experience ... This is a Full-Time / Permanent job opportunity . Only US Citizen, Green Card Holder, GC-EAD,H4-EAD ...

Sonsoft Inc

IBM Data power (USC&GC)ONLY

Phoenix, AZ

$113K - $136K/yr

At least 1 year of experience with IBM API Connect (formerly IBM API Management) * At least 2 years ... This is a Full-Time & Permanent job opportunity for you. 2.Only US Citizen Green Card Holder can ...

Sonsoft Inc

IBM API Connect

Hartford, CT

Exposure to IBM Data Power * Experience in Agile Project Delivery * Analytical skills * Experience ... Note:- * This is a Full-Time Permanent job opportunity for you. * Only US Citizen, Green Card ...

EOG Resources, Inc.

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 ...

NAVA Software Solutions

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

Accenture Federal Services

Data Engineer

Arlington, VA

$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 ...

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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 29, 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

Data Engineer

Accenture Federal Services

Remote

$117K - $140K/yr

Full-time

Posted yesterday

Key responsibilities

  • Design, build, and maintain scalable end-to-end data pipelines using Databricks, Spark, and related technologies.

  • Develop efficient data processing and transformation workflows to support analytics and reporting needs.

  • Integrate diverse data sources including APIs, databases, and cloud storage into unified datasets.

Accenture Federal Services rating

8.4

Company rating: 8.4 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

46th of 430 rated business services

Job description

Job Summary:
Accenture Federal Services is dedicated to helping the US federal government enhance national security and public welfare. The Data Engineer will design, build, and maintain scalable data pipelines, develop data processing workflows, and integrate diverse data sources to support analytics and reporting needs.
Responsibilities:
• Design, build, and maintain scalable end-to-end data pipelines using Databricks, Spark, and related technologies.
• Develop efficient data processing and transformation workflows to support analytics and reporting needs.
• Integrate diverse data sources including APIs, databases, and cloud storage into unified datasets.
• Work closely with cross-functional teams (data science, analytics, business units) to design and implement data solutions that align with business goals.
• Implement robust validation, monitoring, and observability processes to ensure data accuracy, completeness, and reliability.
• Contribute to data governance, security, and automation initiatives within the data ecosystem.
• Leverage AWS services (e.g., S3, Glue, Lambda, Redshift) to build and deploy data solutions in a cloud-native environment.
Qualifications:
Required:
• Experience with cloud-based ETL services (e.g. AWS Glue, Google Cloud Dataflow, Azure Data Factory)
• Experience with Cloud data warehousing technologies (e.g. Amazon Redshift, Google BigQuery, Snowflake)
• Experience with Python, SQL, Spark, and PySpark
• Experience with data platforms like Databricks, Palantir, and Snowflake
• Familiarity with data orchestration and data quality processes
• Must be a US Citizen
Preferred:
• Secret clearance or above
• Experience working with federal clients
• Experience with COTS and open-source data engineering tools such as ElasticSearch and NiFi
• Experience with Docker/Kubernetes Hadoop/Spark, NiFi, ELK stack
• Experience with Agile / Scrum
• Data engineering certification such as Palantir Foundry Data Engineer, Azure Data Engineer Associate, Google Professional Data Engineer, IBM Certified Data Engineer, or similar
Company:
Accenture Federal Services is a leading US federal services company and subsidiary of Accenture. Founded in 1989, the company is headquartered in Arlington, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Accenture Federal Services employees say

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