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Data Engineer Data Analyst Jobs in Birmingham, AL

4P Consulting Inc

Data Engineer

Vestavia Hills, AL · On-site

$114K - $137K/yr

Job Summary: We are looking for a highly skilled Data Engineer to join our team. The ideal ... Perform data analysis to support decision-making and provide insights that drive business ...

4P Consulting Inc

Data Analyst

Birmingham, AL · Hybrid

A consulting firm is seeking a Data Analytics Analyst (Level 3) to develop analytics solutions in Birmingham, AL. This role involves analyzing data, developing reports, and collaborating with teams ...

Pwc

Data Strategy & Governance -Director

Birmingham, AL · On-site

$155K - $410K/yr

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

4P Consulting Inc.

Data Engineer

Birmingham, AL

$107K - $128K/yr

Job Summary: We are looking for a highly skilled Data Engineer to join our team. The ideal ... Perform data analysis to support decision-making and provide insights that drive business ...

4P Consulting Inc

Data Engineer

Vestavia Hills, AL · On-site

$114K - $137K/yr

Job Summary: We are looking for a highly skilled Data Engineer to join our team. The ideal ... Perform data analysis to support decision-making and provide insights that drive business ...

4pconsultinginc

Data Engineer III

Birmingham, AL · On-site

$107K - $128K/yr

Position Overview The Data Engineer III is responsible for designing, building, and optimizing scalable data pipelines and analytics solutions across relational databases, NoSQL systems, and cloud ...

Daimler

Data Analyst

Vance, AL · On-site

This position requires strong analytical skills, a solid understanding of supply chain processes, and proficiency with data visualization tools and statistical software. Essential Functions

Mindlance

Data Engineer 3

Birmingham, AL · On-site

$107K - $128K/yr

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 ...

Mercedes-Benz Group

Data Analyst

Vance, AL · On-site

This position requires strong analytical skills, a solid understanding of supply chain processes, and proficiency with data visualization tools and statistical software Essential Functions: Organize ...

Deloitte

Data Engineer II

Birmingham, AL · On-site

$107K - $128K/yr

As an experienced Data Engineer , you will have the ability to share new ideas and collaborate on ... Work you'll do/Responsibilities As part of the Data & Analytics Foundry you will support numerous ...

4P Consulting Inc

Analyst, Data

Birmingham, AL · On-site

Data Analyst- AMILocation: Birmingham, AL Contract- 18 MonthsClient: Southern CompanyJob Summary ... Bachelor's degree in Computer Science, Engineering, Business Information Systems, or a related ...

4P Consulting Inc

Analyst, Data

Birmingham, AL · On-site

Data Analyst- AMILocation: Birmingham, AL Contract- 18 MonthsClient: Southern CompanyJob Summary ... Bachelor's degree in Computer Science, Engineering, Business Information Systems, or a related ...

4pconsultinginc

Data Analyst II

Birmingham, AL · On-site

Data Analyst II Location: Birmingham AL, 35243 Duration: 18 Months Client: Southern Company Position Overview The Data Analyst II is responsible for acquiring, managing, analyzing, and interpreting ...

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Showing results 21-40

All JobsData Engineer Data Analyst JobsData Engineer Data Analyst Jobs in Birmingham, AL

Data Engineer Data Analyst information

See Birmingham, AL salary details

$31.9K

$77.5K

$127.5K

How much do data engineer data analyst jobs pay per year?

As of Sep 6, 2026, the average yearly pay for data engineer data analyst in Birmingham, AL is $77,450.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,600.00 and $90,900.00 per year, depending on experience, location, and employer.

How do data engineer data analysts typically collaborate with data scientists and business stakeholders?

Data Engineer Data Analysts play a crucial role in bridging the technical and analytical needs of an organization. They work closely with data scientists by preparing, cleaning, and structuring large datasets to enable advanced analytics and modeling. Additionally, they collaborate with business stakeholders to understand data requirements, translate business questions into technical solutions, and deliver actionable insights. Effective communication and teamwork are essential, as the role often involves facilitating data access, ensuring data quality, and aligning data projects with business objectives.

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

To thrive as a Data Engineer/Data Analyst, you need strong analytical and statistical skills, proficiency in programming languages like Python or SQL, and typically a degree in computer science, statistics, or a related field. Familiarity with data warehousing tools, ETL processes, and experience with platforms like Hadoop, Spark, or Tableau is often required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for interpreting data and sharing insights with stakeholders. These competencies ensure accurate data management, insightful analysis, and support data-driven decision-making within organizations.

What is the difference between Data Engineer Data Analyst vs Data Scientist?

AspectData EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; often certifications in cloud or data toolsBachelor's or higher in CS, Statistics, or related; often advanced degrees
Work EnvironmentBuilds data pipelines, manages databases, ensures data flowAnalyzes data, creates models, interprets insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceResearch firms, tech, finance, marketing

Data Engineers focus on developing and maintaining data infrastructure, while Data Scientists analyze data to generate insights. Both roles require strong technical skills, but Data Engineers are more involved in data architecture, whereas Data Scientists focus on modeling and analysis.

Can a data analyst work as a data engineer?

A data analyst can transition to a data engineer role by developing skills in data pipeline development, database management, and programming languages like Python or SQL. While data analysts focus on data interpretation and reporting, data engineers build and maintain data infrastructure, often requiring knowledge of tools such as Apache Spark, Hadoop, or cloud platforms. Gaining experience with these technologies and earning relevant certifications can facilitate the switch between roles.

What are popular job titles related to Data Engineer Data Analyst jobs in Birmingham, AL?

For Data Engineer Data Analyst jobs in Birmingham, AL, the most frequently searched job titles are:

What job categories do people searching Data Engineer Data Analyst jobs in Birmingham, AL look for?

The top searched job categories for Data Engineer Data Analyst jobs in Birmingham, AL are:

Data Engineer Data Analyst jobs near you
Infographic showing various Data Engineer Data Analyst job openings in Birmingham, AL as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $77,450 per year, or $37.2 per hour.

Data Engineer

4P Consulting Inc

Vestavia Hills, AL • On-site

$114K - $137K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Job Summary:
We are looking for a highly skilled Data Engineer to join our team. The ideal candidate will have a strong background in data management, SQL, Python, and data visualization tools like Power BI. With 5+ years of experience working with data in an enterprise environment, you will design, develop, and maintain scalable data pipelines and systems. This role involves collaborating with cross-functional teams to understand data requirements and deliver effective solutions.

Qualifications:

  • Education: Bachelor's degree in Computer Science, Information Technology, or a related field.
  • Experience:
    • 5+ years of experience working with data in an enterprise environment.
    • 5+ years of hands-on experience with SQL queries and Python.
    • Proven experience with Power BI and Oracle databases.
    • Strong understanding of data modeling, ETL processes, and data warehousing.
    • Excellent problem-solving skills and attention to detail.
    • Strong communication and collaboration skills, with the ability to work independently and as part of a team.

Key Responsibilities:

  • Design & Develop Scalable Data Pipelines: Develop and maintain efficient, scalable data pipelines and systems to handle large datasets.
  • Collaborate with Cross-functional Teams: Work closely with teams across the organization to understand data requirements and provide tailored solutions.
  • SQL Query Optimization: Optimize and troubleshoot SQL queries for performance, ensuring efficiency and effectiveness.
  • ETL Process Development: Design and maintain ETL processes using Python to extract, transform, and load data from various sources.
  • Data Integration & Management: Integrate and manage data from multiple sources, including Oracle databases, to ensure seamless data flow.
  • Report & Dashboard Creation: Create and maintain interactive reports and dashboards using Power BI to provide actionable insights.
  • Ensure Data Quality & Security: Monitor data integrity, quality, and security, ensuring that all data meets the company's standards.
  • Data Analysis & Support for Business Decisions: Perform data analysis to support decision-making and provide insights that drive business strategies.
  • Stay Updated with Industry Trends: Keep up-to-date with the latest industry trends, technologies, and best practices to continuously improve data solutions.

Why Join Us?

  • Impactful Work: Be part of a team that values data-driven decision-making and supports innovation.
  • Career Growth: Opportunities for professional development and career progression in a fast-paced, dynamic environment.
  • Collaborative Culture: Work in a supportive and collaborative team atmosphere with access to cutting-edge tools and technologies.

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