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Senior Big Data Engineer Jobs in Alabama (NOW HIRING)

Big Data Systems Engineer Belong, Connect, Grow, with KBR! KBR's National Security Solutions (NSS) team provides high-end engineering and advanced technology solutions to our customers in the ...

Data Engineer III

Birmingham, AL · On-site

$107K - $128K/yr

The ideal candidate brings strong experience in SQL, big data frameworks, cloud platforms, and modern data engineering best practices. Key Responsibilities Data Engineering & Pipeline Development

Data Engineer II

Birmingham, AL · On-site

$107K - $128K/yr

Data Engineer II Location- Birmingham, AL( ONSITE) Client- Southern Company Services ... The ideal candidate has strong expertise in SQL, data modeling, and big data tools such as Spark ...

Data Engineer

Birmingham, AL

$107K - $128K/yr

Data Engineer II Location- Birmingham, AL( ONSITE) Client- Southern Company Services ... The ideal candidate has strong expertise in SQL, data modeling, and big data tools such as Spark ...

Data Engineer

Birmingham, AL · On-site

$107K - $128K/yr

Data Engineer II Location- Birmingham, AL( ONSITE) Client- Southern Company Services ... The ideal candidate has strong expertise in SQL, data modeling, and big data tools such as Spark ...

Data Engineer III

Birmingham, AL · On-site

$60 - $65/hr

Background in Big Data Engineering and Advanced Data Analytics. Skills and Competencies ... Significant experience working with senior executives to use data reporting and visualizations for ...

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Data Engineer, Analytics

Birmingham, AL · On-site

$107K - $128K/yr

Data Engineer II Location- Birmingham, AL( ONSITE) Client- Southern Company Services ... The ideal candidate has strong expertise in SQL, data modeling, and big data tools such as Spark ...

Senior Cloud Data Engineer

Redstone Arsenal, AL · On-site

$57 - $76/hr

Senior Cloud Data Engineer Full-time Redstone Arsenal, AL About Us Trideum Corporation is a 100 ... Experience with SQL, NoSQL databases, and big data frameworks (Spark, Hadoop, etc.). * DevSecOps:

Data Engineer II 4P/554

Birmingham, AL · On-site

$107K - $128K/yr

Data Engineer II Location- Birmingham, AL( ONSITE) Client- Southern Company Services ... The ideal candidate has strong expertise in SQL, data modeling, and big data tools such as Spark ...

Data Engineer II 4P/554

Birmingham, AL

$107K - $128K/yr

Data Engineer II Location- Birmingham, AL( ONSITE) Client- Southern Company Services ... The ideal candidate has strong expertise in SQL, data modeling, and big data tools such as Spark ...

Data Engineer 3

Birmingham, AL · On-site

$107K - $128K/yr

... big data technologies such as Hadoop, HIVE and Spark. • Hands-on experience developing and ... Required : • 5-10 Years Focused on manipulating data in a software engineering capacity. • Some ...

As a Data Engineer Sr within PNC's Asset Management organization, you will be based in Pittsburgh ... Big Data Management and Analytics, Business Intelligence, Consulting, Data Analysis - Software ...

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Senior Big Data Engineer information

See Alabama salary details

$14

$57

$79

How much do senior big data engineer jobs pay per hour?

As of Aug 28, 2026, the average hourly pay for senior big data engineer in Alabama is $57.09, according to ZipRecruiter salary data. Most workers in this role earn between $48.61 and $64.28 per hour, depending on experience, location, and employer.

What is a senior big data engineer?

Senior Big Data Engineers are advanced-level professionals who design, build, and maintain large-scale data processing systems. They work with technologies such as Hadoop, Spark, and NoSQL databases to handle massive amounts of data efficiently. Their responsibilities often include optimizing data pipelines, ensuring data quality, and collaborating with data scientists and analysts to support business needs. Senior Big Data Engineers also mentor junior team members and help drive architectural decisions related to data infrastructure.

What skills and qualifications are needed to be a senior big data engineer?

To thrive as a Senior Big Data Engineer, you need advanced expertise in data architecture, distributed computing, and programming languages such as Java, Scala, or Python, typically backed by a degree in computer science or a related field. Familiarity with big data technologies like Hadoop, Spark, Kafka, and cloud platforms, as well as relevant certifications (e.g., Cloudera, AWS), is highly valuable. Strong problem-solving, communication, and leadership skills set outstanding candidates apart, especially when collaborating with cross-functional teams. These competencies are critical for designing scalable data solutions, ensuring data quality, and driving impactful business insights.

How does a senior big data engineer collaborate with data scientists and business stakeholders?

As a Senior Big Data Engineer, you'll frequently work alongside data scientists to design and maintain data pipelines that ensure reliable and accessible data for modeling and analytics. Collaboration with business stakeholders is also essential, as you'll help translate business requirements into technical data solutions, ensuring that data architecture supports organizational goals. Regular meetings, code reviews, and cross-team project planning are common, making strong communication and a collaborative mindset vital for success in this role.

What is the difference between Senior Big Data Engineer vs Data Architect?

AspectSenior Big Data EngineerData Architect
CredentialsBachelor's/Master's in CS, Data Science, or related; experience with Hadoop, SparkBachelor's/Master's in CS, Data Science, or related; certifications like TOGAF, cloud architecture
Work EnvironmentDevelops, implements, and maintains data pipelines and systemsDesigns overall data infrastructure and architecture strategy
Employer & Industry UsageTech companies, finance, healthcare, retailLarge enterprises, consulting firms, cloud providers
Search & Comparison IntentUnderstanding technical roles, skills, and responsibilitiesFocus on data system design and strategic planning

While both roles work with data systems, a Senior Big Data Engineer primarily develops and maintains data pipelines and systems, whereas a Data Architect designs the overarching data infrastructure and strategy. The roles often collaborate but differ in scope and focus within data management.

What are the most commonly searched types of Big Data Engineer jobs in Alabama?

The most popular types of Big Data Engineer jobs in Alabama are:

What are popular job titles related to Senior Big Data Engineer jobs in Alabama?

For Senior Big Data Engineer jobs in Alabama, the most frequently searched job titles are:

What job categories do people searching Senior Big Data Engineer jobs in Alabama look for?

The top searched job categories for Senior Big Data Engineer jobs in Alabama are:

What cities in Alabama are hiring for Senior Big Data Engineer jobs?

Cities in Alabama with the most Senior Big Data Engineer job openings:

Big Data Systems Engineer

Huntsville, AL • Hybrid


KBR
IT Services • 10K+ employees

8.3

Company rating: 8.3 out of 10

Based on 48 frontline employees who took The Breakroom Quiz

143rd of 450 rated engineering

Great coworkers

People enjoy working here

Good employer


Full-time

Re-posted 22 days ago


Job description

Title:

Big Data Systems Engineer

Belong, Connect, Grow, with KBR!

KBR's National Security Solutions (NSS) team provides high-end engineering and advanced technology solutions to our customers in the intelligence and national security communities. In this position, your work will have a profound impact on the country's most critical role - protecting our national security.

KBR is seeking a Big Data Systems Engineer to join our team. The successful candidate will be part of the KBR team supporting the Test Resource Management Center's (TRMC) Big Data (BD) and Knowledge Management (KM) Team deploying BD and KM systems for DoD testing Ranges and various acquisition programs.

Responsibilities:

  • The Big Data Systems Engineer will work on the deployment and integration of a highly visible data analytic project called Cloud Hybrid Edge-to-Enterprise Evaluation Test & Analysis Suite (CHEETAS) at multiple DoD ranges and labs.
  • As a Big Data Systems Engineer, you will be a critical part of our technical team responsible for deploying CHEETAS within customer environments. You will be the frontline interface that customers will have when first experiencing CHEETAS within their DoD Range and lab environments.
  • This position will require you to work closely with system administrators and software developers to communicate, document and ultimately resolve deployment issues as they arise.
  • You will deploy CHEETAS within disparate DoD testing Ranges and acquisition programs environments (on different non-standard hardware stacks and integrated into different existing ecosystems) sometimes located within DoD vaults with no outside internet connectivity.
  • Work on the deployment and integration of a highly visible data analytic project called Cloud Hybrid Edge-to-Enterprise Evaluation Test & Analysis Suite (CHEETAS) at multiple DoD ranges and labs
  • Deploy CHEETAS within customer environments
  • Work closely with system administrators and software developers to communicate, document and ultimately resolve deployment issues as they arise
  • Deploy CHEETAS within disparate DoD testing Ranges and acquisition programs environments (on different non-standard hardware stacks and integrated into different existing ecosystems) sometimes located within DoD vaults with no outside internet connectivity

Work Environment:

  • Location: Remote - The candidate can either work in one of KBR's facilities or work from home, with a stable internet connection.
  • Travel Requirements: This position is anticipated to require travel of 25% with surges possible up to 50% to support end users located at various DoD Ranges and Labs across the US (including Alaska and Hawaii).
  • Working Hours: Standard

Basic Qualifications/Knowledge:

  • Must have an active TS/SCI Security Clearance to be considered for this position.
  • This position requires a bachelor's degree in a STEM Computer Science, Data Science, Statistics or related, technical field, and 10 years of DoD experience. Entry level Big Data Engineers will NOT be considered due to the breadth of knowledge necessary to be successful in the position.
  • Previous experience must include three (3) years of hands-on experience in the integration with and configuration of: SQL Server Big Data Cluster, CentOS, Ubuntu, RedHat, Windows Server, VMWare, etc.)
  • Previous experience must include five (5) years of hands-on experience in big data environments.
  • Must be adept at deploying and configuring Big Data and Knowledge Management tools in an enterprise environment.
  • Must have extensive technical expertise in the configuration and troubleshooting of big data ecosystems.
  • Must have excellent written and verbal communication skills and be comfortable assisting customers with installation and configuration of their big data infrastructure.
  • Must have strong troubleshooting skills and the ability to become a CHEETAS deployment subject matter expert.
  • Must be comfortable working with a wide range of stakeholders and functional teams at various levels of experience.
  • Excellent interpersonal skills, oral and written communication skills, and strong personal motivation are necessary to succeed within this position.
  • Experience with installation, configuration, integration with and usage of the following tools and technologies: NFS, SMB, S3, SQL Server, Windows Server, Windows 10/11, Linux (CentOS, Ubuntu, RedHat).
  • Must be prepared to learn new business processes or CHEETAS application nuances every Agile sprint release (roughly every 6 weeks) prior to deploying to customer sites.
  • Ability to problem solve, debug, and troubleshoot while under pressure and time constraints is required.
  • Ability to communicate effectively about technical topics to both experts and non-experts at both the management and technical level is required.
  • Ability to work independently and provide appropriate recommendations for optimal design, analysis, and development.
  • Excellent verbal communications skills are required, as the Integration Engineer will be in frequent contact with the project technical lead, be taking direction from various government leads, and will frequently be interacting with end users to gather requirements and implement solutions while away from other team members.
  • Excellent testing, debugging and problem-solving skills are required to be successful in this position.
  • Experience designing, building, integrating with and maintaining both new and existing big data systems and solutions.
  • Ability to speak and present findings in front of large groups.
  • Ability to document and repeat procedures.
  • This position is anticipated to require travel of 25% with surges possible up to 50% to support end users located at various DoD Ranges and Labs across the United States.

Preferred Qualifications:

  • Experience working in government/defense labs and their computing restrictions.
  • Experience working with major DoD acquisition programs.
  • Knowledge of the Test and Training Enabling Architecture (TENA), the Joint Mission Environment Testing Capability (JMETC) and distributed testing and training.
  • Experience with working in distributed team environment.
  • Ability to teach and mentor engineers with a variety of skill levels and backgrounds.
  • Knowledge of DoD cybersecurity policies.

Basic Compensation:

$142,400 - $180,000 (For the Denver, CO Area only)

$148,900 - $200,000 (For the Los Angeles, CA Area Only)

$148,900 - $200,00 (For the Washington, DC Area Only)

The offered rate will be based on the selected candidate's working location, knowledge, skills, abilities and/or experience, clearance level, contract affordability and in consideration of internal parity.

Additional Compensation:

KBR may offer bonuses, commissions, or other forms of compensation to certain job titles or levels, per internal policy or contractual designation. Additional compensation may be in the form of a sign on bonus, relocation benefits, short-term incentives, long-term incentives, or discretionary payments for exceptional performance.

Belong, Connect and Grow at KBR
At KBR, we are passionate about our people and our Zero Harm culture. These inform all that we do and are at the heart of our commitment to, and ongoing journey toward being a People First company. That commitment is central to our team of team's philosophy and fosters an environment where everyone can Belong, Connect and Grow. We Deliver - Together.

KBR is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, genetic information, union status and/or beliefs, or any other characteristic protected by federal, state, or local law.


KBR logo

About KBR

Sourced by ZipRecruiter

At KBR, we partner with government and industry clients to provide purposeful and comprehensive solutions with an emphasis on efficiency and safety. With a full portfolio of services, proprietary technologies and expertise, our employees are ready to handle projects and missions from planning and design to sustainability and maintenance. Whether at the bottom of the ocean or in outer space, our clients trust us to deliver the impossible on a daily basis.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Houston, TX, US

Year founded

1998


What KBR employees say

Pay

Benefits

Hours and flexibility

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