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Data Modernization Jobs in Alabama (NOW HIRING)

Data Engineer (Senior)

Huntsville, AL · On-site

$104K - $141K/yr

Collaborate with cross-functional teams to support system modernization efforts * Troubleshoot, optimize, and document data solutions in secure environments Required Qualifications * Bachelor ...

Data Engineer (Senior)

Huntsville, AL · On-site

$104K - $141K/yr

Collaborate with cross-functional teams to support system modernization efforts * Troubleshoot, optimize, and document data solutions in secure environments Required Qualifications * Bachelors degree ...

Data collection tasks may include manual data collection using mobile handheld technologies ... complex modernization and systems engineering challenges across the defense, space, federal ...

Data Management Analyst

Huntsville, AL · On-site

$120K - $135K/yr

Study, document, and transition complex legacy processes to ensure business continuity and identify opportunities for modernization. * Build data pipelines and code repositories to combine and ...

Data Engineer (Senior)

Huntsville, AL · On-site

$104K - $141K/yr

Collaborate with cross-functional teams to support system modernization efforts * Troubleshoot, optimize, and document data solutions in secure environments Required Qualifications * Bachelor ...

Data Engineer (Senior)

Huntsville, AL · On-site

$104K - $141K/yr

Collaborate with cross-functional teams to support system modernization efforts * Troubleshoot, optimize, and document data solutions in secure environments Required Qualifications * Bachelor ...

Data Management Analyst

Huntsville, AL · On-site

$120K - $135K/yr

Study, document, and transition complex legacy processes to ensure business continuity and identify opportunities for modernization. * Build data pipelines and code repositories to combine and ...

Data Management Analyst

Huntsville, AL · On-site

$120K - $135K/yr

Study, document, and transition complex legacy processes to ensure business continuity and identify opportunities for modernization. * Build data pipelines and code repositories to combine and ...

Showing results 41-60

Data Modernization information

What is the difference between Data Modernization vs Data Analyst?

AspectData ModernizationData Analyst
Primary FocusUpgrading and transforming data systems and infrastructureAnalyzing data to generate insights and reports
Skills RequiredData architecture, cloud platforms, database managementStatistical analysis, data visualization, SQL
Work EnvironmentIT departments, data engineering teamsBusiness units, analytics teams
CertificationsCloud certifications, data management certificationsData analysis, visualization certifications

Data Modernization involves upgrading data systems and infrastructure to improve efficiency and scalability, often requiring technical expertise in data architecture and cloud platforms. In contrast, Data Analysts focus on interpreting data, creating reports, and providing insights to support business decisions. While both roles work with data, their core responsibilities and skill sets differ significantly.

What are some common challenges faced by professionals working in data modernization projects?

Professionals in Data Modernization often encounter challenges such as integrating legacy systems with modern cloud-based solutions, ensuring data quality during migration, and managing data security and compliance. Additionally, they may need to collaborate closely with cross-functional teams to align business goals with technical requirements. Adaptability and strong communication skills are important, as priorities can shift rapidly in response to evolving business needs and technology updates.

What are the key skills and qualifications needed to thrive in data modernization?

To thrive in Data Modernization, you need strong expertise in data architecture, cloud platforms, and data migration, often supported by a degree in computer science or information systems. Familiarity with tools like Azure, AWS, Snowflake, ETL frameworks, and certifications such as AWS Certified Data Analytics or Microsoft Azure Data Engineer are commonly required. Excellent problem-solving, project management, and communication skills help professionals effectively lead transformation initiatives and collaborate with stakeholders. These skills are crucial for ensuring seamless migration, maximizing data value, and driving innovation within organizations.
Infographic showing various Data Modernization job openings in Alabama as of June 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution.

Data Engineer (Senior)

Cintel, Inc.

Huntsville, AL • On-site

$104K - $141K/yr

Full-time

Re-posted 29 days ago


Job description

Position Title: Data Engineer (Senior)

Location: Redstone Arsenal

Position Type: Full-Time


Position Overview
We are seeking a Senior Data Engineer to support complex data initiatives, including ETL development, large-scale data migrations, and high-performance data processing in a mission-driven environment. This role will work closely with engineering and analytics teams to design, build, and optimize data pipelines supporting critical systems.


Key Responsibilities

  • Design, develop, and maintain scalable ETL pipelines and data workflows
  • Lead and support data migration efforts across enterprise systems
  • Develop and optimize data processing solutions using Apache Spark
  • Work with relational databases including Oracle and PostgreSQL
  • Write and maintain backend services and data integrations using Java
  • Ensure data quality, integrity, and performance across platforms
  • Collaborate with cross-functional teams to support system modernization efforts
  • Troubleshoot, optimize, and document data solutions in secure environments


Required Qualifications

  • Bachelor's degree in Engineering or a related technical field
  • Minimum of 8 years of experience in data engineering or related roles
  • Strong experience with ETL processes and data migration
  • Proficiency in Java
  • Exprience with: NIFI, AWS, Spark / Scala, SQL / PLSQL, Linux, Nice:Agile, maven, Gitlab
  • Hands-on experience with Oracle and PostgreSQL databases
  • Experience using Apache Spark for large-scale data processing
  • Active Top Secret security clearance (required at time of hire)


Preferred Qualifications

  • Experience supporting DoD or federal programs
  • Familiarity with large, complex data environments and legacy system modernization




CULTURE REQUIREMENTS:


  • Engineers, Analysts, and Developers at Cintel, Inc. are highly motivated, technical, and selforganized. We place a lot of trust in our team members to develop technical solutions for illdefinedproblems (i.e. thrive in an environment where the problem is vague, requirements are lacking, and a solution is not obvious). We need problem solvers.
  • We want our team members to be selfmotivated and eager to learn new skills. If you consider yourself a jackofalltrades, and are eager to keep up with the latest trends in technology,you'll fit right in.


ABOUT CINTEL, INC:

Cintel Inc. is a Small Business providing strategies and services to support an array of Government clients in Software Development, Operational/Tactical and Installation/Facilities Energy, Cyber Security, Modeling and Simulation, Data Science, and Programmatic support.


We offer our clients nimble, unique, and value focused solutions with an emphasis on people, connectivity, communication, and teamwork. Our team believes that people drive solutions. By connecting people, information, teams, and experience we deliver solutions that respond to customer needs.


It is the policy of Cintel that all persons are entitled to equal employment opportunity regardless of their race, color, religion, sex (including gender identity, sexual orientation, and pregnancy), national origin, age (40 or older), disability, genetic information, or veteran status. These policies shall ensure that the practice of nondiscrimination will be applied in the employment, promotion, upgrading, demotion, transfer, layoff, termination, recall or rehire of personnel. Equal employment opportunity applies to all terms and conditions of employment, including hiring, placement, promotion, termination, layoff, recall, transfer, leave of absence, compensation, and training.


Cintel, Inc. expressly prohibits any form of unlawful employee harassment or discrimination based on any of the characteristics mentioned above. Improper interference with the ability of other employees to perform their expected job duties is not tolerated.