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Data Sourcing Jobs in Alabama (NOW HIRING)

Mindlance

Data Engineer 3

Birmingham, AL · On-site

$107K - $128K/yr

... 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 ...

4pconsultinginc

Data Engineer III

Birmingham, AL · On-site

$107K - $128K/yr

Develop API and web service integrations for data sourcing and delivery Data Quality & Governance * Implement and maintain data quality frameworks and tools * Ensure consistency, accuracy, and ...

CoreWeave

The Strategic Sourcing team is responsible for building and scaling CoreWeave's global supplier ecosystem to support rapid data center growth. The team partners closely with Engineering, Supply Chain ...

Amgen

Strategic Sourcing Manager

Birmingham, AL

$120K - $156K/yr

Leverage data and market insights to support strategic sourcing decisions. * Partner with cross-functional stakeholders to align sourcing strategies with business objectives and enterprise priorities.

PNC Bank

Senior Strategic Sourcing Manager

Birmingham, AL · On-site

$120K - $156K/yr

As a key leader in PNC's sourcing organization, you will drive CTO-aligned initiatives with ... Data Center (Mainframe, Compute, Storage), Telephony, Network, Service Centers, Application ...

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All JobsData Sourcing JobsData Sourcing Jobs in Alabama

Data Sourcing information

See Alabama salary details

$9

$33

$63

How much do data sourcing jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for data sourcing in Alabama is $33.95, according to ZipRecruiter salary data. Most workers in this role earn between $18.70 and $45.54 per hour, depending on experience, location, and employer.

What is a data sourcing?

A Data Sourcing job involves identifying, collecting, and managing data from various sources to support business decisions, analytics, or machine learning models. Professionals in this role assess data quality, negotiate data acquisition terms, and ensure compliance with privacy regulations. They work with internal and external stakeholders to acquire relevant datasets efficiently. Strong analytical and research skills are essential for success in this position.

What are the typical daily responsibilities of someone working in data sourcing?

As a Data Sourcing professional, your daily tasks often include identifying and evaluating new data sources, negotiating and managing vendor relationships, and ensuring that all data acquired meets quality and compliance standards. You may also collaborate closely with data analysts, procurement teams, and IT departments to integrate sourced data into existing systems and workflows. Regular updates, documentation, and quality checks are part of the routine to maintain the integrity and reliability of information used across the organization. This role is dynamic and detail-oriented, offering valuable experience in both data strategy and stakeholder engagement.

What are the key skills and qualifications needed to thrive in data sourcing, and why are they important?

To thrive in Data Sourcing, you typically need strong analytical skills, attention to detail, and a background in data management or business analysis. Familiarity with data sourcing tools such as SQL, Python, Excel, various databases, and sometimes certifications like Certified Data Management Professional (CDMP) are highly valued. Excellent communication, problem-solving, and organizational skills help professionals build reliable external and internal data partnerships. These abilities are vital for ensuring the consistent acquisition, validation, and integration of high-quality data essential to organizational decision-making.

What are popular job titles related to Data Sourcing jobs in Alabama?

For Data Sourcing jobs in Alabama, the most frequently searched job titles are:

What job categories do people searching Data Sourcing jobs in Alabama look for?

The top searched job categories for Data Sourcing jobs in Alabama are:

Data Sourcing jobs near you
Infographic showing various Data Sourcing job openings in Alabama as of August 2026, with employment types broken down into 72% Full Time, 4% Temporary, and 24% Contract. Highlights an 84% In-person, 8% Hybrid, and 8% Remote job distribution, with an average salary of $70,622 per year, or $34 per hour.

Data Engineer 3

Mindlance

Birmingham, AL • On-site

$107K - $128K/yr

Full-time

Re-posted 20 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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