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Ibm Data Engineer Jobs in Florida (NOW HIRING)

Truist

Analytics Data Engineer III

Orlando, FL · On-site

... IBM DB2, Oracle, Netezza), technical programming skills (SAS, SQL, Toad), exposure to applied data science tools (R, Python, SAS E-Miner), familiarity with data visualization and BI tools (Tableau ...

Innosoul inc

IBM System Programmer

Tallahassee, FL · On-site

FL-PR1015675-R209373 Hybrid/Local IBM Systems Programmer (Rational/COBOL both must/15+) with ... objects SAP Data Services SAP Crystal Reports Windows Administration Active Directory IIS ...

New

Avani Technology Solutions, Inc.

DevOps Engineer

Miami, FL · On-site

$50.50 - $69/hr

Miami, FL Duration: 6+ Months Must Have Skills: • Jira, IBM RTC, Bit Bucket, Jenkins Job Roles ... dynamic data with services (e.g., JSON, XML, REST APIs etc) • Experience with Automated code ...

krg technology inc

Big Data Architect

Fort Myers, FL · On-site

$59.50 - $76.50/hr

... engineer and architect across domains Past hands on experience with open source Big data ... IBM or Oracle Clear understanding of usage and implementations at scale of NoSQL solutions like ...

Command Holdings

Data Scientist (TS/SCI req'd)

Tampa, FL · On-site

... engineering, data processing, and modeling techniques using cloud-based data management, data science, and ML platforms such as Databricks, IBM Cloud Pak, Cloudera, and Snowflake. * Designs and tests ...

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Ibm Data Engineer information

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$33.3K

$96.9K

$132.6K

How much do ibm data engineer jobs pay per year?

As of Jul 18, 2026, the average yearly pay for ibm data engineer in Florida is $96,936.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,600.00 and $102,800.00 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.
What are the most commonly searched types of Ibm Data Engineer jobs in Florida? The most popular types of Ibm Data Engineer jobs in Florida are:
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Ibm Data Engineer jobs near you
Infographic showing various Ibm Data Engineer job openings in Florida as of July 2026, with employment types broken down into 100% Full Time. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $96,936 per year, or $46.6 per hour.
Information Technology_USA - USA_Engineer

Information Technology_USA - USA_Engineer

Real Soft, Inc.

Jacksonville, FL • On-site

$106K - $127K/yr

Contractor

Re-posted 15 days ago

Job description

**Please strictly adhere to the following resume naming convention:
ALL CAPS, NO SPACES BETWEEN UNDERSCORES
PTN_US_GBAMSREQID_CandidateBeelineID
Example: PTN_US_9999999_SKIPJOHNSON0413
: -
MSP Owner: Rob Finton
Location: Atlanta, GA (3 days work from customer location)
Duration: 6 months
skill id: 10743006
Responsibilities:
• Defines data requirements, gather, and wrangle large scale of structured and unstructured data, and validate data by running various data tools in the Data Environment.
• Supports the standardization, customization, and ad-hoc data analysis, and will develop the mechanisms to ingest, analyze, validate, normalize and clean data.
• Creates data policy and develop interfaces and retention models which requires synthesizing or anonymizing data.
• Implements statistical data quality procedures on new data sources, and by applying rigorous iterative data analytics, supports Data Scientists and analytics and insights creation in data sourcing and preparation to visualize data and synthesize insights of commercial value.
• Develops and maintains data engineering best practices and contributes to Insights on data analytics and visualization concepts, methods and techniques.
• Works closely with the data science and business intelligence teams to develop data models and pipelines for research, reporting, and machine learning.
• Design, implement, and support scalable data infrastructure solutions to integrate with multi-heterogeneous data sources, aggregate and retrieve Big Data in a fast and safe mode, curate data that can be used in BI reporting, analysis, machine learning models and ad-hoc data requests.
• Build data pipelines that clean, transform, and aggregate data from disparate sources.
• Engages with business teams to gather requirements and design data solutions.
• Mentors team of more Junior Data Engineers.
• Collaborates across multiple projects to provide data engineering expertise across teams.
• Analyzes most relevant insights and shares with leadership to provide strategic recommendations for the business
• Lead a team of data engineers and act as a key senior contributor to a data engineering project.
Skills and Experience:
• 7+ years of overall IT experience
• 5+ years of experience in a data engineering/ETL role with a track record of manipulating, processing, and extracting value from large datasets
• 3+ years of experience with Big Data tools/technologies like Hadoop, Spark, Spark SQL, Kafka, Sqoop, Hive, S3, HDFS, or Cloud platforms e.g. AWS, GCP, etc.
• 3+ years building, testing, and optimizing data ingestion pipelines, architectures, and data sets with Tibco, IBM or others.
• Databricks UI, Managing Databricks Notebooks, Delta Lake with Python, Delta Lake with Spark SQL, Delta Live Tables, Unity Catalog.
• High-velocity high-volume stream processing with Apache Kafka and Spark Streaming.
• Strong SQL skills with ability to write intermediate complexity queries.
• ETL experience with PySpark, Spark SQL , IBM Data Stage or similar.
• Agile Scrum, Kanban or SAFe experience.
Skills Desired
• Databricks, Python (and/or Scala) and PySpark/Scala-Spark.
• Database solutions like Databricks, Teradata, Mainframe, DB2 or BigQuery.
• BI Solutions like Spotfire, OAC, Tableau or PowerBI
• Azure, AWS Serverless technologies, like, S3, Kinesis/MSK, lambda, and Glue.
• Messaging Platforms like Kafka, Amazon MSK & TIBCO EMS or IBM MQ Series.
• Strong SQL skills with ability to write intermediate complexity queries
• Experience with GIT code versioning software
Essential Skills: Data Engineer
Skills: Digital : Google Data Engineering
Experience Required: 10 & Above, Project Code :

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