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Hadoop Python Jobs in Birmingham, AL (NOW HIRING)

Mindlance

Data Engineer 3

Birmingham, AL · On-site

$107K - $128K/yr

... as Hadoop, HIVE and Spark. • Hands-on experience developing and supporting statistical models, R, and/or Python based AI/ML solutions. • 5+ years hands on experience designing, developing ...

4pconsultinginc

Data Engineer III

Birmingham, AL · On-site

$107K - $128K/yr

Develop solutions using Spark, Hive, Hadoop * Build and maintain solutions using Azure ecosystem ... Support statistical models and AI/ML solutions using Python and/or R * Prepare data pipelines to ...

Mindlance

Data Scientist 3

Birmingham, AL · On-site

... or custom Python visualizations. • Lead feature engineering efforts to identify and select ... frameworks (e.g., Hadoop, Spark) • Expertise in data ethics, privacy, and compliance ...

4pconsultinginc

Data Scientist III (IT)

Birmingham, AL · On-site

Python or * R * Hands-on experience with data wrangling, analysis, and exploration * Familiarity ... Experience with big data processing frameworks (e.g., Spark, Hadoop, or similar) * Familiarity with ...

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Hadoop Python information

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$9

$56

$68

How much do hadoop python jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for hadoop python in Birmingham, AL is $56.13, according to ZipRecruiter salary data. Most workers in this role earn between $53.41 and $61.30 per hour, depending on experience, location, and employer.

What is a Hadoop Python developer?

A Hadoop Python developer is a software professional who specializes in using Python programming language to develop, implement, and maintain applications that process and analyze large datasets within the Hadoop ecosystem. They leverage Python libraries like PySpark to write scalable data processing scripts, interact with Hadoop components such as HDFS, and optimize big data workflows. These developers play a critical role in building data pipelines, performing data transformation, and supporting analytics projects in organizations that handle vast amounts of data.

What are the key skills and qualifications needed to thrive as a Hadoop Python developer?

To thrive as a Hadoop Python Developer, you need a strong understanding of distributed computing, Hadoop ecosystem components (like HDFS, MapReduce, Hive, or Pig), and advanced Python programming skills, often supported by a degree in computer science or related field. Familiarity with tools such as Apache Spark, Sqoop, and workflow schedulers (like Oozie or Airflow), along with experience in handling big data platforms, is typically required. Problem-solving abilities, attention to detail, and effective communication help developers collaborate with teams and translate business requirements into scalable data solutions. These skills and qualifications are essential for efficiently processing and analyzing large datasets, ensuring data reliability, and driving business insights.

How do Hadoop Python developers typically collaborate with data engineers and analysts on large-scale data projects?

Hadoop Python developers frequently work alongside data engineers and analysts to design, implement, and optimize data pipelines for handling vast datasets. They are responsible for writing Python scripts that interface with Hadoop components, ensuring data is processed efficiently and meets project requirements. Regular communication with data engineers helps align on infrastructure and architectural decisions, while close collaboration with analysts ensures data outputs are accurate and actionable. Agile methodologies and daily stand-ups are common, fostering teamwork and quick problem-solving.

What is the difference between Hadoop Python vs Hadoop Java Developer?

AspectHadoop PythonHadoop Java Developer
Required CredentialsPython programming skills, Hadoop certificationsJava programming skills, Hadoop certifications
Work EnvironmentData analysis, scripting, data pipeline developmentCore development, system integration, big data application coding
Industry UsageData science, analytics, machine learning projectsData infrastructure, platform development, system optimization

Hadoop Python and Hadoop Java Developer roles both involve working with Hadoop ecosystems, but Python focuses more on data analysis and scripting, while Java is geared towards core development and system integration. The choice depends on your programming expertise and career goals within big data environments.

What are jobs in Hadoop Python?

Jobs in Hadoop Python typically involve developing and maintaining data processing tasks using Python scripts within the Hadoop ecosystem. These roles often require knowledge of Hadoop frameworks like MapReduce or Spark, along with Python programming skills, to handle large-scale data analysis and processing tasks. They may also involve working with distributed systems and data pipelines in a big data environment.

What are popular job titles related to Hadoop Python jobs in Birmingham, AL?

For Hadoop Python jobs in Birmingham, AL, the most frequently searched job titles are:

What job categories do people searching Hadoop Python jobs in Birmingham, AL look for?

The top searched job categories for Hadoop Python jobs in Birmingham, AL are:

Hadoop Python jobs near you
Infographic showing various Hadoop Python job openings in Birmingham, AL as of August 2026, with employment types broken down into 2% Internship, 85% Full Time, 6% Part Time, and 7% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $116,751 per year, or $56.1 per hour.

Data Engineer 3

Birmingham, AL • On-site

Mindlance
Recruiting and Staffing Services • 1 - 5K employees
Learn more about Mindlanceexternal

$107K - $128K/yr

Full-time

Re-posted 6 days ago

Job description

Job Summary:
Mindlance is a company focused on data solutions, and they are seeking a Data Engineer 3 to manipulate and manage data in various systems. The role involves constructing datasets, normalizing databases, and developing data engineering and analytics solutions using both on-premises and cloud-based tools.
Responsibilities:
• Focus on manipulating data in a software engineering capacity.
• Normalize databases and ascertain the structure of the data meets the requirements of the applications that are accessing the information.
• Construct datasets that are easy to analyze and support company requirements.
• Combine raw information from different sources to create consistent and machine-readable formats.
• Working experience with batch and real-time data processing frameworks.
• Working experience with data modelling, data access, schemas, and data storage techniques.
• Working experience with data quality tools.
• Experience in creating functional and technical designs for data engineering and analytics solutions.
• Experience implementing data models of different schemas and working with diverse data source types.
• Hands-on experience developing solutions with big data technologies such as Hadoop, HIVE and Spark.
• Hands-on experience developing and supporting statistical models, R, and/or Python based AI/ML solutions.
• 5+ years hands on experience designing, developing, testing, deploying, and supporting data engineering and analytics solutions using on premises tools such as MSBI (SSIS/SSAS), Informatica, Oracle Golden Gate, SQL, Oracle, and SQL Server.
• 3+ years hands on experience designing, developing, testing, deploying, and supporting data engineering and analytics solutions using Microsoft cloud based tools such as Azure Data Lake, Azure Data Factory, Azure Databricks, Python, Azure Synapse, Azure Key Vault, and Power BI.
• Experience with Containerization methodologies – Docker, OpenShift, etc.
• Experience with Agile as well as DevOps, CI/CD methodologies.
• Hands-on experience designing and developing solutions involving data sourcing, enrichment and delivery using APIs & Web Services.
Qualifications:
Required:
• 5-10 Years Focused on manipulating data in a software engineering capacity.
• Some of that data might live in relational systems, but it is increasingly moving towards NoSQL systems and data lakes.
• Normalize databases and ascertain the structure of the data meets the requirements of the applications that are accessing the information.
• Construct datasets that are easy to analyze and support company requirements.
• Combine raw information from different sources to create consistent and machine-readable formats.
• This IT role requires a significant set of technical skills, including a deep knowledge of SQL, data modeling, and tools like Spark/Hive/Airflow.
• Must have skills and experience required for creating Databricks pipelines for multiple types of sources.
• Working experience with batch and real-time data processing frameworks.
• Working experience with data modelling, data access, schemas, and data storage techniques.
• Working experience with data quality tools.
• Experience in creating functional and technical designs for data engineering and analytics solutions.
• Experience implementing data models of different schemas and working with diverse data source types.
• Hands-on experience developing solutions with big data technologies such as Hadoop, HIVE and Spark.
• Hands-on experience developing and supporting statistical models, R, and/or Python based AI/ML solutions.
• 5+ years hands on experience designing, developing, testing, deploying, and supporting data engineering and analytics solutions using on premises tools such as MSBI (SSIS/SSAS), Informatica, Oracle Golden Gate, SQL, Oracle, and SQL Server.
• 3+ years hands on experience designing, developing, testing, deploying, and supporting data engineering and analytics solutions using Microsoft cloud based tools such as Azure Data Lake, Azure Data Factory, Azure Databricks, Python, Azure Synapse, Azure Key Vault, and Power BI.
• Experience with Containerization methodologies – Docker, OpenShift, etc.
• Experience with Agile as well as DevOps, CI/CD methodologies.
• Hands-on experience designing and developing solutions involving data sourcing, enrichment and delivery using APIs & Web Services.
Company:
Mindlance is a Staffing and Recruiting company which provides multi-vertical staffing services Founded in 1999, the company is headquartered in Union, USA, with a team of 1001-5000 employees. The company is currently Late Stage.
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About Mindlance

Sourced by ZipRecruiter

Mindlance is a multinational staffing and services firm based in the Greater NYC area. We have 14 offices across the United States, Canada, and India. We match talented people to Fortune 500 and Fortune 1000 companies across industries. We have been in business since 1999 and are recognized by Staffing Industry Analysts (SIA) as one of the fastest-growing U.S. staffing firms. Our rapid growth means more jobs, more projects, and more opportunities for you. Our core philosophy means that you work with an organization that truly values and recognizes you.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Union, NJ, US

Year founded

1999

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