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Data Analytics Engineer Jobs in Alabama (NOW HIRING)

Data Engineer Sr

Birmingham, AL · On-site

$107K - $128K/yr

As a(n) Senior Data Engineer within PNC's Business Analytics organization, you will be based in Pittsburgh, PA, Dallas, TX, Phoenix, AZ, Birmingham, AL or Cleveland, OH. As a Senior Data Engineer at ...

Bachelors degree in Data Analytics, Computer Science, Information Systems, Mathematics, or related ... Engineers, Analysts, and Developers at Cintel, Inc. are highly motivated, technical, and ...

Data Engineer- Senior

Huntsville, AL

$110K - $149K/yr

Data Engineer- Senior Position Location: Redstone Arsenal Position Type: Full-Time, On-Site ... Develop and implement data analytics solutions that enable bulk analysis of relational and semi ...

Bachelor's degree in Data Analytics, Computer Science, Information Systems, Mathematics, or related ... Engineers, Analysts, and Developers at Cintel, Inc. are highly motivated, technical, and self ...

Bachelor's degree in Data Analytics, Computer Science, Information Systems, Mathematics, or related ... Engineers, Analysts, and Developers at Cintel, Inc. are highly motivated, technical, and ...

Data Engineer- Senior

Huntsville, AL · On-site

$110K - $149K/yr

Data Engineer- Senior Position Location: Redstone Arsenal Position Type: Full-Time, On-Site ... Develop and implement data analytics solutions that enable bulk analysis of relational and semi ...

Guidehouse is seeking a Data Analyst who will provide data solutions (analysis, data engineering, data science etc.) to a Department of War client. You will be a part of a multi-disciplinary, high ...

Data Engineer

Birmingham, AL · On-site

$107K - $128K/yr

General Summary The Healthcare Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and analytics infrastructure for Urology Centers of Alabama, P.C. This ...

Guidehouse is seeking a Data Analyst who will provide data solutions (analysis, data engineering, data science etc.) to a Department of War client. You will be a part of a multi-disciplinary, high ...

Data Engineer- Senior

Huntsville, AL · On-site

$110K - $149K/yr

Data Engineer- Senior Position Location: Redstone Arsenal Position Type: Full-Time, On-Site ... Develop and implement data analytics solutions that enable bulk analysis of relational and semi ...

Data Engineer

Huntsville, AL · On-site

$119K - $143K/yr

Responsible for carrying out engineering tasks to deliver an advanced visual analytic application to include: developing data analytics for desktop and web-developed visual analytic software ...

Data Engineer

Huntsville, AL

$119K - $143K/yr

Responsible for carrying out engineering tasks to deliver an advanced visual analytic application to include: developing data analytics for desktop and web-developed visual analytic software ...

Data Engineer

Huntsville, AL · On-site

$119K - $143K/yr

Responsible for carrying out engineering tasks to deliver an advanced visual analytic application to include: developing data analytics for desktop and web-developed visual analytic software ...

ServiceNow Data Analyst

AL · On-site +1

$80K - $100K/yr

Bachelor's degree in Business, Data Analytics, or related field OR equivalent combination of ... Have a solid understanding of relational databases and basic programming skills * Demonstrate ...

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Data Analytics Engineer information

See Alabama salary details

$40.3K

$117.6K

$160.9K

How much do data analytics engineer jobs pay per year?

As of Jun 9, 2026, the average yearly pay for data analytics engineer in Alabama is $117,573.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,800.00 and $124,600.00 per year, depending on experience, location, and employer.

How do Data Analytics Engineers typically collaborate with data scientists and business stakeholders on projects?

Data Analytics Engineers play a crucial role in bridging the gap between raw data and actionable insights by building, optimizing, and maintaining data pipelines. They often work closely with data scientists to ensure data is clean, accessible, and structured for advanced analytics or machine learning models. Additionally, they collaborate with business stakeholders to understand reporting requirements and ensure that data solutions align with organizational objectives. Regular communication and cross-functional teamwork are essential aspects of this role, as engineers must translate business needs into technical specifications and deliver reliable data products.

What are the key skills and qualifications needed to thrive as a Data Analytics Engineer, and why are they important?

To thrive as a Data Analytics Engineer, you need strong proficiency in data modeling, SQL, and statistical analysis, typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools such as Python, R, Apache Spark, Tableau, and cloud data platforms like AWS or Google BigQuery is essential, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you translate data insights into actionable business solutions. These skills and qualities are crucial for designing robust data pipelines and enabling data-driven decision-making across organizations.

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

AspectData Analytics EngineerData Scientist
CredentialsBachelor's or master's in CS, Data Science, or related fields; certifications like Google Data AnalyticsBachelor's or master's in CS, Statistics, or related fields; certifications like Certified Data Scientist
Work EnvironmentFocus on building data pipelines, dashboards, and analytics toolsFocus on statistical modeling, machine learning, and data exploration
Employer & Industry UsageUsed across tech, finance, healthcare for data infrastructure and analyticsCommon in research, product development, and advanced analytics teams

While both roles work with data, Data Analytics Engineers primarily develop data infrastructure and tools for analysis, whereas Data Scientists focus on statistical modeling and machine learning to generate insights. They often collaborate but have distinct technical focuses.

What does a Data Analytics Engineer do?

A Data Analytics Engineer designs, builds, and maintains the systems and infrastructure needed to collect, store, and analyze large sets of data. They work closely with data scientists, analysts, and business stakeholders to ensure data is accessible, reliable, and organized for analysis. Their responsibilities typically include building data pipelines, optimizing database performance, and ensuring data quality and security. Data Analytics Engineers play a crucial role in transforming raw data into actionable insights that drive business decisions.
What are the most commonly searched types of Data Analytics Engineer jobs in Alabama? The most popular types of Data Analytics Engineer jobs in Alabama are:
What are popular job titles related to Data Analytics Engineer jobs in Alabama? For Data Analytics Engineer jobs in Alabama, the most frequently searched job titles are:
Infographic showing various Data Analytics Engineer job openings in Alabama as of June 2026, with employment types broken down into 61% Full Time, 33% Part Time, and 6% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $117,573 per year, or $56.5 per hour.
Data Engineer Sr

Data Engineer Sr

PNC Bank

Birmingham, AL • On-site

$107K - $128K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago


PNC Bank rating

7.7

Company rating: 7.7 out of 10

Based on 334 frontline employees who took The Breakroom Quiz

72nd of 141 rated banks


Job description

Position OverviewAt PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company's success. As a(n) Senior Data Engineer within PNC's Business Analytics organization, you will be based in Pittsburgh, PA, Dallas, TX, Phoenix, AZ, Birmingham, AL or Cleveland, OH.
As a Senior Data Engineer at PNC you will have the following responsibilities:
Key responsibilities -
- Design, Develop and maintain scalable and efficient data pipelines and ETL processes
- Collaborate with analysts and stakeholders to gather requirements and implement data solutions that meet business needs
- Proposes & designs data solutions to address complex business needs. Prepares technical and procedural documentation required.
- Participates in code reviews & testing
- Applies modern principles, methodologies, and tools to advance business initiatives and capabilities.
- Develop and manage data integrations between various systems , ensuring seamless data flow and consistency
- Optimize database and query performance to support analytical workloads
- Monitor and troubleshoot data workflows to ensuring data quality and integrity at all times
- Stay current with industry trends, technologies and best practices to continuously improve our data ecosystem
Skills-
- Experience with data pipelines and ETL - informatica
- Experience in SQL and database management systems
- Knowledge of data modelling , warehousing concepts , and ETL processes
- Experience with big data technologies and frameworks such as Hadoop, Hive, Spark. Programming experience in Python or Scala.
- Demonstrated analytical and problem-solving skills.
- Familiarity with cloud platforms (e.g Azure , AWS ) and their data related services
- Proactive and detail oriented professional with strong sense of ownership
- Creative problem solver who can tackle complex data challenges
- Mentor who can guide junior engineers and contributes to team growth
- Excellent problem solving communication and collaboration skills
- Ability to work in agile environment. Experience with effectively prioritizing and executing tasks in a high-pressure environment successfully
- Experience in Spark, Big Data, ETL and PythonPNC is an in-office company that fosters a supportive culture where employees can thrive and achieve balance. We encourage candidates to connect with their recruiter and hiring manager to understand workplace expectations and ensure the role aligns with their goals.PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.Job Description
  • Leads in developing, supporting and implementing data solutions for multiple applications in order to meet business objectives and user requirements. Leverages technical knowledge and industry experience to design, build and maintain technology solutions.
  • Leads data requirement analysis and the data preparation process development for targeted data solutions.
  • Leads in designing and building data service infrastructure on multiple data platforms, according the workflow.
  • Oversees the development and implementation of data solutions for multiple applications to ensure its scalability, availability and maintainability.
  • Consults on data migration and transformation to ensure the accuracy and security of data solutions.

PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be:

  • Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions.
  • Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework.
Qualifications

Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position.

Preferred SkillsAnalytical Thinking, Competitive Advantages, Data Analytics, Data Mining, Data Science, Machine Learning (ML), Python (Programming Language), Spark SQL, Structured Query Language (SQL)CompetenciesApplication Delivery Process, Big Data Management and Analytics, Business Intelligence, Consulting, Data Analysis - Software, Data Architecture, Database Structures, Problem Solving, Software Development Life CycleWork ExperienceRoles at this level typically require a university / college degree, with 5+ years of industry-relevant experience. Specific certifications are often required. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.EducationBachelorsCertificationsNo Required Certification(s)LicensesNo Required License(s)Pay TransparencyBase Salary: $91,000.00 - $202,800.00Salaries may vary based on geographic location, market data and on individual skills, experience, and education. This role is incentive eligible with the payment based upon company, business and/or individual performance.Application WindowGenerally, this opening is expected to be posted for two business days from 06/05/2026, although it may be longer with business discretion.BenefitsPNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options; employee and spouse/child life insurance; short and long-term disability protection; 401(k) with PNC match, pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance, including select programs fully paid; a robust wellness program with financial incentives.In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 9 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service.

To learn more about these and other programs, including benefits for full time and part-time employees, visitpncthrive.com.

Disability Accommodations Statement

If an accommodation is required to participate in the application process, please contact us via email at AccommodationRequest@pnc.com. Please include "accommodation request" in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call 877-968-7762 and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.


At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions.

Equal Employment Opportunity (EEO)


PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law.

This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history.

California Residents

Refer to the California Consumer Privacy Act Privacy Notice to gain understanding of how PNC may use or disclose your personal information in our hiring practices.


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