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Senior Big Data Engineer Jobs in Alabama (NOW HIRING)

Epitec

Data Engineer III

Birmingham, AL · On-site

$60 - $70/hr

Job #106365 REMOTE OPPORTUNITY Senior Data Engineer | Financial Services | Hybrid Pay Rate: $60-$70 ... Develop scalable data pipelines to ingest, transform, and load data in big data environments

KBR

Big Data Systems Engineer

Huntsville, AL · Hybrid

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 ...

4pconsultinginc

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

4pconsultinginc

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 ...

PTR Global

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 ...

Trideum

Senior Cloud Data Engineer

Redstone Arsenal, AL

$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:

Trideum Corporation

Senior Cloud Data Engineer

Huntsville, AL · On-site

$58 - $77.50/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:

Mindlance

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 ...

PNC Bank

Senior Data Engineer - AMG Tech

Birmingham, AL · On-site

$50K - $202K/yr

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 ...

Cortina Solutions

Data Engineer

Huntsville, AL · On-site

$106K - $128K/yr

The Data Engineer is responsible for working directly with military clients to strengthen their ... Experience with ETL pipelines, big data processing, integration of diverse data sources, and ...

Cortina Solutions

Data Engineer

Huntsville, AL · On-site

$60K - $90K/yr

The Data Engineer is responsible for working directly with military clients to strengthen their ... Experience with ETL pipelines, big data processing, integration of diverse data sources, and ...

Cortina Solutions

Data Engineer

Huntsville, AL · On-site

$106K - $128K/yr

The Data Engineer is responsible for working directly with military clients to strengthen their ... Experience with ETL pipelines, big data processing, integration of diverse data sources, and ...

ECS

Sr. Databricks Solutions Architect

Huntsville, AL · On-site

If you are passionate about helping customers solve complex big data challenges, leveraging ... Collaborate with internal and Databricks teams, including Engineers, Architects, Project Managers ...

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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 Sep 2, 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:

Senior Big Data Engineer jobs near you

Data Engineer III

Epitec

Birmingham, AL • On-site

$60 - $70/hr

Contractor

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

Job description

  • Location: Birmingham, Alabama
  • Type: Contract
  • Job #106365

REMOTE OPPORTUNITY
Senior Data Engineer | Financial Services | Hybrid
Pay Rate: $60-$70.00/hr, Must be able to work in EST or CST timezone. W2 only
I'm working with a leading financial services organization seeking a Senior Data Engineer to help design, build, and scale enterprise data platforms that support analytics, reporting, and data product initiatives.
This role is ideal for someone who enjoys building large-scale data solutions, developing robust data pipelines, and partnering with business and technical stakeholders to turn data into actionable insights.
What You'll Do
  • Design, build, and maintain data platforms and data assets supporting analytics and data product initiatives
  • Develop scalable data pipelines to ingest, transform, and load data in big data environments
  • Build robust, testable solutions using Spark and other modern data engineering technologies
  • Design and implement strategic and tactical data stores for enterprise data consumption
  • Develop frameworks and microservices that deliver data products to internal consumers
  • Partner with Data Scientists, Data Product teams, Data Management, and Engineering teams to deliver high-quality data solutions
  • Ensure data quality, integrity, accessibility, and readiness for business use cases
  • Translate business requirements into scalable data solutions and engineering designs
  • Support automation and continuous improvement of enterprise data products
  • Serve as a trusted advisor to business leaders by identifying opportunities to leverage data for strategic decision-making
Required Qualifications
  • Bachelor's degree in Business, Computer Science, Engineering, Information Systems, or a related field
  • 8+ years of data engineering, data management, or analytics experience
  • Experience building and supporting enterprise-scale data solutions
  • Strong experience designing and developing relational data structures
  • Experience integrating and transforming complex data from multiple sources
  • Proven ability to deliver operational and analytics-focused data assets
Preferred Qualifications
  • Financial services or banking industry experience
  • Experience supporting large, highly regulated enterprise environments
  • Background in Big Data Engineering and Advanced Analytics
Technical Skills
  • Apache Spark
  • Hadoop ecosystem technologies
  • Airflow, Argo, Luigi, or similar orchestration tools
  • CI/CD and DevOps practices
  • Docker and Kubernetes
  • NoSQL databases such as MongoDB, Cassandra, or HBase
  • Streaming technologies including Kafka, Flink, or Spark Streaming
  • Data modeling, data warehousing, and data architecture
  • Business intelligence and reporting solutions
What We're Looking For
  • Strong communicator who can work effectively with both technical and non-technical stakeholders
  • Experience delivering scalable data products and data platforms
  • Ability to translate business needs into technical data solutions
  • Comfortable working with senior leadership and driving data-driven decision making
  • Passion for building modern, enterprise-grade data ecosystems

? If you're interested in learning more, please apply.
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