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Ibm Data Engineer Jobs (NOW HIRING)

IBM

Full-Stack Data Engineer (TS/SCI)

Mclean, VA · On-site

IBM is committed to providing senior National Security leaders with decision-worthy data and ... They are seeking a TS//SCI cleared Full Stack Data Engineer who specializes in formulating ...

United IT

Data Engineer

Cincinnati, OH

$109K - $132K/yr

Data Engineer We are seeking a skilled Data Engineer with a strong background in mortgage banking ... , leveraging IBM Datastage. * Experience with AWS cloud services: EC2, RDS, MSK, Lambda.

IBM

Full-Stack Data Engineer (TS/SCI)

Reston, VA · On-site

IBM is committed to providing senior National Security leaders with decision-worthy data and ... They are seeking a TS//SCI cleared Full Stack Data Engineer who specializes in formulating ...

ComResource

Data Engineer

Cincinnati, OH · On-site

$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 ...

IBM

Full-Stack Data Engineer (TS/SCI)

Hampton, VA · On-site

IBM is committed to providing senior National Security leaders with decision-worthy data and ... They are seeking a TS//SCI cleared Full Stack Data Engineer who specializes in formulating ...

JConnect Infotech

Data Bricks Data Engineer

Plano, TX · Remote

$110K - $132K/yr

Fulltime • Awareness of IBM Data Stage ETL/ELT data integration tool to understand existing code ... • Strong programming skills in Python and PySpark. • Advanced proficiency writing SQL for ...

JConnect Infotech

Data Bricks Data Engineer

Dallas, TX · Remote

$113K - $136K/yr

Fulltime • Awareness of IBM Data Stage ETL/ELT data integration tool to understand existing code ... • Strong programming skills in Python and PySpark. • Advanced proficiency writing SQL for ...

IBM

Consultant - AI Engineer

Denver, CO · On-site

IBM is a leading company in consulting that focuses on long-term client relationships and collaboration worldwide. As a Data Engineer specializing in Data Platforms-Snowflake, you will implement and ...

JConnect Infotech

Data Bricks Data Engineer

Richardson, TX · Remote

$104K - $124K/yr

Fulltime • Awareness of IBM Data Stage ETL/ELT data integration tool to understand existing code ... • Strong programming skills in Python and PySpark. • Advanced proficiency writing SQL for ...

Kanak Elite Services Inc

$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 ...

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 ...

BC Forward

Data Engineer

Charlotte, NC

$70.23/hr

Certifications in data engineering or analytics are a plus (e.g., IBM Certified Data Engineer). Preferred Skills: 3+ years working on data migrations or implementations. Experience building ...

TMS

Data Engineer - Netezza & DataStage

Edison, NJ · On-site

Contract Job Summary We are seeking an experienced Data Engineer with strong expertise in IBM Netezza and IBM DataStage , along with hands-on or working experience in Snowflake and Databricks . The ...

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How much do ibm data engineer jobs pay per year?

As of Jun 15, 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.

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.

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.

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Ibm Data Engineer jobs near you
Infographic showing various Ibm Data Engineer job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 98% Full Time, and 1% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Associate Data Engineer - Client Innovation Center (Entry Level)

Associate Data Engineer - Client Innovation Center (Entry Level)

IBM

Baton Rouge, LA • On-site

$15.25 - $20/hr

Full-time

This job post has expired today. Applications are no longer accepted.

IBM rating

7.9

Company rating: 7.9 out of 10

Based on 72 frontline employees who took The Breakroom Quiz

99th of 190 rated software companies

Job description

Job Summary:
IBM Consulting Client Innovation Centers (CICs) are environments where technologists build real solutions for clients. The Associate Data Engineer role is entry-level, focusing on supporting the development and maintenance of data pipelines and platforms while collaborating with experienced practitioners.
Responsibilities:
• Support the development and maintenance of data pipelines used for analytics, reporting, and machine learning
• Assist with extracting, transforming, and loading (ETL/ELT) data from multiple sources into data platforms
• Contribute to data cleansing, validation, and transformation activities using Python and SQL
• Help prepare datasets for downstream consumption by analytics and data science teams
• Support batch and, where applicable, near-real-time data processing workflows under guidance
• Collaborate with data engineers, data scientists, and other team members in Agile delivery environments
• Build data engineering skills through training, mentorship, and hands-on delivery experience
• Work with functional and technical team members to help integrate data solutions into client business environments
Qualifications:
Required:
• Strong foundation in computer science fundamentals, including data structures and algorithms
• Strong analytical and problem-solving skills with attention to data quality and reliability
• Comfortable working onsite in a collaborative, team-based environment
• Ability to work effectively in a technology-driven consulting environment where tools, platforms, and client needs evolve over time
• Strong analytical and problem-solving skills, with the ability to approach complex tasks using structured, logical thinking
• Ability to learn new systems and technologies quickly and apply them in a delivery setting
• Proficiency in Python (preferred) or another programming language used for data processing
• Hands-on experience using data manipulation tools such as pandas, NumPy, and SQL, gained through coursework, labs, projects, or internships
• Ability to write clear, maintainable code for data transformation and processing tasks
• Understanding of ETL/ELT concepts and how data moves from source systems to consumption layers
• Familiarity with relational databases and SQL for querying and data manipulation
• Basic understanding of data modeling concepts such as schemas, normalization, or dimensional models
• Exposure to cloud-based data or analytics platforms (e.g., AWS, Azure, or Google Cloud) through coursework, labs, or projects
• Familiarity with core cloud data services such as object storage, databases, or analytics services
• Ability to translate business or functional requirements into technical solutions, with guidance from senior team members
• Comfortable working onsite in a collaborative, team-based environment
• Strong willingness to learn, accept feedback, and continuously improve
• Familiarity with generative AI concepts, including basic modeling approaches, responsible use, and ethical considerations, gained through coursework, projects, or self-study
Preferred:
• Master's Degree
• Exposure to distributed data processing tools such as Apache Spark or PySpark
• Familiarity with modern data warehouse technologies (e.g., Snowflake, Redshift, BigQuery)
• Exposure to streaming or event-based data concepts
• Familiarity with version control tools such as Git
• Basic awareness of how data engineering supports machine learning workflows
Company:
IBM provides technology and consulting, including software, infrastructure systems, and cloud-based solutions. Founded in 1911, the company is headquartered in Armonk, USA, with a team of 10001+ employees. The company is currently Late Stage.

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About IBM

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At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Armonk, NY, US

Year founded

1911

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