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Data Integration Manager Jobs in Chelsea, AL (NOW HIRING)

PNC Bank

Data Manager

Birmingham, AL · On-site

Data Manager leads Data Management and Movement team. This lead role will be responsible for ... Data Integration Work with cross-functional teams to define data governance roles and ...

4P Consulting Inc.

Data Engineer

Birmingham, AL · On-site

$107K - $128K/yr

Data Integration & Management: Integrate and manage data from multiple sources, including Oracle databases , to ensure seamless data flow. * Report & Dashboard Creation: Create and maintain ...

The E Group

Be Seen First

Data Engineer 4

Birmingham, AL · On-site

$50 - $60/hr

They should have a strong foundation in database management systems (DBMS) and be able to optimize queries, ensure data security, and handle data integration tasks. · Proficiency in SQL is essential ...

Hoar

Data Architect

Birmingham, AL · On-site

$59.75 - $76.75/hr

Develop strategies for data warehousing, data acquisition, data integration, archiving, and ... Bachelor's degree in Computer Science, Information Technology, Management Information Systems (MIS ...

Hoar

Data Architect

Birmingham, AL · On-site

$59.75 - $76.75/hr

Develop strategies for data warehousing, data acquisition, data integration, archiving, and ... Bachelor's degree in Computer Science, Information Technology, Management Information Systems (MIS ...

Kemper

Data Quality Engineer

Birmingham, AL · Remote

$107K - $128K/yr

Test Environment Strategy and Management Support and contribute to enterprise test environment strategy, including environment planning, test data management, deployment coordination, integration ...

Pwc

Data Engineer - Senior Manager

Birmingham, AL · On-site

$124K - $280K/yr

You will be responsible for developing and implementing data pipelines, data integration, and data ... As a Senior Manager you lead large projects, innovate processes, and maintain operational ...

Deloitte

Data Engineer

Birmingham, AL · On-site

$107K - $128K/yr

Communicate regularly with Engagement Managers (Directors), project team members, and ... Experience with data integration frameworks and orchestration tools. * Proficiency in designing and ...

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Data Integration Manager information

See Chelsea, AL salary details

$9

$46

$76

How much do data integration manager jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for data integration manager in Chelsea, AL is $46.86, according to ZipRecruiter salary data. Most workers in this role earn between $39.47 and $52.74 per hour, depending on experience, location, and employer.

What are some common challenges a data integration manager faces when coordinating cross-departmental projects?

Data Integration Managers often encounter challenges such as aligning different departments' data standards, managing conflicting priorities, and ensuring data security across systems. Effective communication and strong project management skills are essential for navigating these complexities. Building collaborative relationships and setting clear expectations early in the project can help streamline data flows and minimize bottlenecks.

What are the key skills and qualifications needed to thrive as a data integration manager, and why are they important?

To thrive as a Data Integration Manager, you need expertise in data management, ETL processes, and a strong understanding of database systems, often supported by a degree in computer science or a related field. Familiarity with integration tools like Informatica, Talend, or Microsoft SSIS, as well as experience with cloud platforms and relevant certifications, is typically required. Strong leadership, problem-solving skills, and effective communication help manage cross-functional teams and stakeholder expectations. These skills ensure seamless data flow, system reliability, and successful project delivery in complex data environments.

What is the difference between Data Integration Manager vs Data Analyst?

AspectData Integration ManagerData Analyst
Required CredentialsBachelor's degree in IT, Computer Science, or related field; certifications in data management or integration toolsBachelor's degree in Statistics, Mathematics, or related field; certifications in data analysis or visualization tools
Work EnvironmentCollaborates with IT teams, data engineers, and business units to oversee data integration processesWorks with business stakeholders to analyze data, generate reports, and support decision-making
Employer & Industry UsageCommon in tech, finance, healthcare, and large enterprises managing complex data systemsWidely used across industries for data-driven roles focusing on insights and reporting

While both roles involve working with data, the Data Integration Manager focuses on overseeing the integration and management of data systems, ensuring data flows correctly across platforms. In contrast, the Data Analyst primarily interprets data to generate insights and support business decisions. Both roles require strong technical skills, but their core responsibilities and focus areas differ significantly.

What is a data integration manager?

A data integration manager oversees the process of combining data from different sources into a unified system, ensuring data quality and consistency. They often work with tools like ETL (Extract, Transform, Load) processes and require strong project management and technical skills. Their role involves coordinating teams, managing data workflows, and implementing integration solutions to support business analytics and decision-making.
Data Integration Manager jobs near you
Infographic showing various Data Integration Manager job openings in Chelsea, AL as of August 2026, with employment types broken down into 85% Full Time, 12% Part Time, and 3% Contract. Highlights an 77% Physical, 2% Hybrid, and 21% Remote job distribution, with an average salary of $97,475 per year, or $46.9 per hour.

Data Engineer / API Integration Developer

Trussville, AL • On-site

The McPherson Companies
See more jobs at The McPherson Companiesexternal

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Job description

Hands-on Data Engineer / API Integration Developer to help build and support modern data pipelines, system integrations, automation workflows, and internal web applications. This role will work across business systems, cloud platforms, databases, APIs, and AI‑assisted development tools to deliver practical solutions that improve operational visibility, process automation, and enterprise data flow.

The ideal candidate is a builder who can move between data engineering, API development, workflow automation, and application prototyping. This person should be comfortable using Python, SQL, PHP, n8n, Snowflake, AWS services, and AI‑assisted development tools to rapidly develop, test, and deploy business solutions. Experience with JD Edwards EnterpriseOne is a strong plus.

Primary Responsibilities and Duties:
  • Design, build, and maintain data pipelines between enterprise applications, databases, cloud platforms, and internal systems.
  • Develop API integrations between ERP, CRM, service platforms, third‑party applications, and custom internal tools.
  • Build and maintain workflows using n8n and similar automation platforms.
  • Develop scripts, services, and lightweight applications using Python, PHP, SQL, and modern web technologies.
  • Work with Snowflake to support data ingestion, transformation, modeling, and reporting needs.
  • Support integration with cloud AI platforms such as AWS Bedrock and related services.
  • Assist in the development of internal AI‑enabled tools, workflow automations, and business process applications.
  • Use AI‑assisted development tools and “vibe coding” practices responsibly to accelerate development while maintaining quality, security, and maintainability.
  • Build and support web applications, internal portals, dashboards, and integration interfaces.
  • Partner with IT, finance, operations, sales, and business stakeholders to understand requirements and translate them into technical solutions.
  • Create reusable integration patterns, documentation, error handling, logging, and monitoring for production workflows.
  • Assist with data quality, data profiling, data mapping, and source‑to‑target validation.
  • Work with authentication, authorization, and identity platforms such as WorkOS or similar tools.
  • Support integrations involving ERP, CRM, service management, eSignature, document automation, analytics, and AI workflow platforms.
  • Troubleshoot production issues related to APIs, ETL jobs, workflows, databases, and application integrations.
  • Other duties and responsibilities as assigned by management.
Position Requirements:
  • Strong experience with Python development for data engineering, API integrations, automation, and backend services.
  • Strong SQL skills, including querying, joins, stored procedures, data validation, and performance troubleshooting.
  • Experience developing or consuming REST APIs, webhooks, JSON, XML, and other integration patterns.
  • Experience with PHP or similar backend web development languages.
  • Experience building workflows or automations using n8n.
  • Experience with cloud‑based data platforms, preferably Snowflake.
  • Experience working with AWS services; AWS Bedrock experience preferred.
  • Experience building internal web applications, portals, dashboards, or business process tools.
  • Understanding authentication and authorization concepts such as OAuth, SAML, JWT, API keys, and role‑based access control.
  • Ability to use AI‑assisted development tools effectively while still understanding, validating, and securing the code produced.
  • Strong troubleshooting skills across applications, databases, APIs, and workflow automation tools.
  • Ability to document technical designs, integration flows, dependencies, and support procedures.
Preferred Qualifications:
  • Experience with JD Edwards EnterpriseOne, Orchestrator, AIS, business functions, tables, or JDE integrations.
  • Experience integrating ERP, CRM, service management, billing, AR, AP, or financial systems.
  • Experience with Oracle databases, Microsoft SQL Server, or other enterprise relational databases.
  • Experience with data modeling, data warehousing, ELT/ETL patterns, and analytics enablement.
  • Experience with AWS Bedrock, AI agents, vector databases, RAG patterns, prompt engineering, or AI workflow automation.
  • Experience with WorkOS or other identity/access management platforms.
  • Experience with GitHub, CI/CD pipelines, Docker, containerized applications, and DevOps practices.
  • Experience working in a mid‑market enterprise environment with a mix of legacy systems and modern cloud platforms.

The above‑noted job description is not intended to describe, in detail, the multitude of tasks that may be assigned but rather to give the associate a general sense of the responsibilities and expectations of his/her position. As the nature of business demands change so, too, may the essential functions of this position.

The McPherson Companies, Inc. is an Equal Opportunity Employer – M/F/Vets/Disabled.

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