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Ibm Data Engineer Jobs (NOW HIRING)

Data Engineer

Charlotte, NC · On-site

$70.23/hr

... IBM Certified Data Engineer) is a plus · Technical expertise with data models, data mining, and segmentation techniques · Certification in data analytics or related fields · Knowledge of ...

DATA ENGINEER (PALANTIR FOUNDRY)

Plano, TX · On-site

$110K - $132K/yr

Palantir Foundry, Databricks, Snowflake, IBM WatsonX.data Programming: Python, PySpark, SQL, Scala Data Processing: ETL/ELT pipelines, real-time streaming, batch processing Cloud: Azure (Data Factory ...

Familiarity with one or more data integration or cloud data tools from Microsoft, IBM, or AWS is ... Work with analysts, developers, and business stakeholders to understand data requirements and ...

Familiarity with one or more data integration or cloud data tools from Microsoft, IBM, or AWS is ... Work with analysts, developers, and business stakeholders to understand data requirements and ...

Data Engineer

Eagan, MN · On-site

$95 - $110/hr

Genesis10 is currently seeking a Data Engineer - Remote for a contract position with a Leading ... Experience developing dashboards or reporting solutions using Google Looker Studio and/or IBM ...

Data Engineer

Eagan, MN · On-site

$95 - $110/hr

Genesis10 is currently seeking a Data Engineer - Remote for a contract position with a Leading ... Experience developing dashboards or reporting solutions using Google Looker Studio and/or IBM ...

Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

... MSMQ and IBM MQ or other related technologies • Data analysis and visualization tools including tools such as Tableau, PowerBI, SSRS, Business Objects or other related Analytics tools • ...

Data Engineer Databricks (Remote)

$117K - $140K/yr

ComResource is looking for a Data Engineer - Databricks. The role involves building scalable ETL ... ComResource is one of IBM's preferred Business Partners in the the IBM Sterling Solutions. Founded ...

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)

Exposure to IBM Data Power * Experience in Agile Project Delivery * Analytical skills * Experience and desire to work in a Global delivery environment Qualifications * Bachelor's degree or foreign ...

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 of experience with IBM DataPower * Extensive experience designing and developing RESTful APIs

Exposure to IBM Data Power * Experience in Agile Project Delivery * Analytical skills Qualifications * Bachelor's degree or foreign equivalent required from an accredited institution. Will also ...

Adobe AEP engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Adobe AEP engineer Job Location: Phoenix, AZ Job Type: Contract * Adobe Experience Platform AEP ... IBM Data Stage * Experience of ELT tools such as DBT Fivetran and AWS Glue * Expert in SQL ...

JB061713 - Sr. Data Engineer

Chicago, IL · On-site

$109K - $148K/yr

Job Title: Sr. Data Engineer Experience: 6-10 Year Location: Chicago, Illinoi We are seeking a ... Manage and enhance data integration with IBM Filenet. Collaborate with cross-functional teams to ...

Data Engineer

Port Angeles, WA · On-site

$117K - $141K/yr

... IBM Cognos, Power BI, Tableau. • Proven ability to design scalable data architectures with a strong focus on Databricks (Delta Lake, Unity Catalog) and dimensional modeling for analytics ...

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IBM Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do ibm data engineer jobs pay per year?

As of Jul 18, 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.

Can I make 200K as a data engineer?

Senior IBM Data Engineers with extensive experience, advanced skills in cloud platforms, big data tools, and certifications can potentially earn salaries around or above $200,000 annually, especially in high-cost-of-living areas. Entry-level or mid-level data engineers typically earn less, with salaries increasing based on expertise, location, and industry demand.

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.

Is IBM a good company for data engineers?

IBM is a well-established technology company that employs data engineers to work on large-scale data projects, often involving cloud platforms, AI, and analytics tools. The company offers opportunities for skill development in areas like data pipelines, SQL, and cloud certifications, making it a reputable employer for data engineering roles.

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 skill level. Salaries can vary based on certifications, such as cloud or big data tools, and the complexity of projects handled.

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.

Is it hard to get hired by IBM?

Getting hired as an IBM Data Engineer can be competitive, requiring strong technical skills in data processing, programming, and cloud platforms like IBM Cloud or AWS. Candidates often need relevant experience, certifications, and a solid understanding of data architecture to improve their chances.
More about IBM Data Engineer jobs
What cities are hiring for Ibm Data Engineer jobs? Cities with the most 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 Ibm Data Engineer jobs? States with the most job openings for Ibm Data Engineer jobs include:
Infographic showing various Ibm Data Engineer job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Cleared Data Engineer

Cleared Data Engineer

Accenture Federal Services

Washington, DC • On-site

$129K - $155K/yr

Full-time

Re-posted 12 days ago


Accenture Federal Services rating

8.4

Company rating: 8.4 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

50th of 451 rated business services


Job description

Job Summary:
Accenture Federal Services is dedicated to helping the US federal government improve national security and public safety through innovative technology solutions. The Cleared Data Engineer will design and maintain scalable data pipelines, integrate diverse data sources, and collaborate with cross-functional teams to implement data solutions that align with business goals.
Responsibilities:
• Pipeline Architect: Design, build, and maintain scalable end-to-end data pipelines using Databricks, Spark, and related technologies.
• Transformation Titan: Develop efficient data processing and transformation workflows to support analytics and reporting needs.
• Integration Hero: Integrate diverse data sources including APIs, databases, and cloud storage into unified datasets.
• Collaboration Champion: Work closely with cross-functional teams (data science, analytics, business units) to design and implement data solutions that align with business goals.
• Quality Guardian: Implement robust validation, monitoring, and observability processes to ensure data accuracy, completeness, and reliability.
• Automation Avenger: Contribute to data governance, security, and automation initiatives within the data ecosystem.
• Cloud Commander: 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
• Active Top Secret or TS/SCI or TS/SCI with polygraph clearance
Preferred:
• Experience working with federal clients
• Experience with Docker/Kubernetes Hadoop/Spark, NiFi, ELK stack
• Experience with Agile / Scrum
• Experience with COTS and open-source data engineering tools such as ElasticSearch and NiFi
• 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.

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