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Aws Data Engineer Jobs in Alabama (NOW HIRING)

Senior Data Engineer

Huntsville, AL

$104K - $141K/yr

Senior Data Engineer Location: Huntsville, AL - 100% Onsite, 5 days/week Client/Program: FBI - EOD ... Work with cloud-based data environments, with AWS strongly preferred . * Analyze and tune data lake ...

New

... AWS Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake ...

Support cloud-based data environments and services in AWS and Azure. * Assist with the ... Collaborate with data engineers, developers, analysts, and other stakeholders to deliver high ...

Data Engineer

Huntsville, AL

$106K - $128K/yr

The Data Engineer is responsible for working directly with military clients to strengthen their ... Manage pipelines in a large Databricks AWS Data Lake using SQL and Python. * Run, edit, and write ...

Data Engineer

Huntsville, AL · On-site

$60K - $90K/yr

The Data Engineer is responsible for working directly with military clients to strengthen their ... Manage pipelines in a large Databricks AWS Data Lake using SQL and Python. * Run, edit, and write ...

Data Engineer

Huntsville, AL · On-site

$80 - $100/hr

The Data Engineer is responsible for working directly with military clients to strengthen their ... Manage pipelines in a large Databricks AWS Data Lake using SQL and Python. * Run, edit, and write ...

Data Engineer

Huntsville, AL · On-site

$106K - $128K/yr

The Data Engineer is responsible for working directly with military clients to strengthen their ... Manage pipelines in a large Databricks AWS Data Lake using SQL and Python. * Run, edit, and write ...

Data Engineer

Huntsville, AL · On-site

$125 - $150/hr

Experience with data warehousing using AWS Redshift, MySQL, or Snowflake * Experience with Agile engineering practices * TS/SCI clearance Clearance: TS/SCI clearance with a polygraph Clearance:

Experience with data warehousing using AWS Redshift, MySQL, or Snowflake * Experience with Agile engineering practices * TS/SCI clearance with a polygraph Clearance: Applicants selected will be ...

Data Engineer

Huntsville, AL · On-site +1

$77K - $176K/yr

Experience with data warehousing using AWS Redshift, MySQL, or Snowflake * Experience with Agile engineering practices * TS/SCI clearance with a polygraph Clearance: Applicants selected will be ...

Data Engineer

Huntsville, AL · On-site

$77K - $176K/yr

Experience with data warehousing using AWS Redshift, MySQL, or Snowflake * Experience with Agile engineering practices * TS/SCI clearance with a polygraph Clearance: Applicants selected will be ...

Data Engineer

Birmingham, AL

$107K - $128K/yr

As an experienced Data Engineer you will have the ability to share new ideas and collaborate on ... Implement orchestration and workflow automation on AWS with retries, backfills, and idempotency.

Public Health Data Engineer

Huntsville, AL

$112K - $135K/yr

Support cloud-based data environments and services in AWS and Azure. * Assist with the ... Collaborate with data engineers, developers, analysts, and other stakeholders to deliver high ...

Data Engineer

Homewood, AL

$107K - $128K/yr

General Summary The Healthcare Data Engineer is responsible for designing, building, and ... Familiarity with cloud data platforms (Azure, AWS, or GCP preferred) * Experience with healthcare ...

Data Engineer

Homewood, AL · On-site

$107K - $128K/yr

General Summary The Healthcare Data Engineer is responsible for designing, building, and ... Familiarity with cloud data platforms (Azure, AWS, or GCP preferred) * Experience with healthcare ...

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Aws Data Engineer information

See Alabama salary details

$40.3K

$117.6K

$160.9K

How much do aws data engineer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for aws data 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.

What is an AWS data engineer?

AWS Data Engineers are professionals who design, build, and maintain data pipelines and architectures on Amazon Web Services (AWS). They work with large datasets, using AWS services such as Amazon S3, Redshift, Glue, and EMR to collect, transform, and store data for analytics or business intelligence. Their responsibilities often include ensuring data reliability, scalability, and security while optimizing data workflows and integrating various cloud-based tools. AWS Data Engineers collaborate with data scientists, analysts, and other stakeholders to enable data-driven decision-making. They typically have strong skills in programming, cloud infrastructure, and database management.

What are the key skills and qualifications needed to thrive as an AWS data engineer?

To thrive as an AWS Data Engineer, you need strong skills in data modeling, ETL processes, SQL, and a solid understanding of AWS services, typically supported by a degree in computer science or a related field. Familiarity with AWS tools like Redshift, Glue, S3, Lambda, and certifications such as AWS Certified Data Analytics are highly beneficial. Problem-solving abilities, effective communication, and adaptability are crucial soft skills for collaborating with teams and managing complex data projects. Mastery of these skills ensures efficient data pipeline development, reliable data solutions, and the ability to support business intelligence in a cloud environment.

What are some common challenges AWS data engineers face when managing large-scale data pipelines?

AWS Data Engineers often encounter challenges related to optimizing data pipelines for scalability and cost efficiency. Managing data ingestion from diverse sources, ensuring data quality, and handling real-time data processing can be complex at scale. Additionally, they must regularly monitor and troubleshoot pipeline failures, integrate new AWS services, and collaborate closely with data scientists, analysts, and DevOps teams to ensure data accessibility and security. Proactively addressing these challenges is vital for maintaining reliable and efficient data workflows.

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

AspectAws Data EngineerData Analyst
Required CredentialsAWS certifications, SQL, Python, data engineering skillsSQL, Excel, data visualization tools, sometimes basic programming
Work EnvironmentCloud platforms, big data environments, data pipelinesBusiness intelligence tools, spreadsheets, reporting dashboards
Employer & Industry UsageTech companies, cloud service providers, enterprises using AWSMarketing, finance, healthcare, and other industries analyzing data

While both roles work with data, Aws Data Engineers focus on building and maintaining data pipelines in cloud environments using AWS tools, whereas Data Analysts interpret data to generate insights and reports. The roles often complement each other in data-driven organizations.

Is AWS Data Engineer in demand?

AWS Data Engineers are in high demand due to the increasing adoption of cloud data platforms and the need for scalable data processing solutions. Skills in AWS services like S3, Redshift, and Glue, along with data modeling and ETL expertise, are highly sought after by employers across various industries.

What does an AWS Data Engineer do?

An AWS Data Engineer designs, builds, and maintains data pipelines and infrastructure on Amazon Web Services. They work with tools like AWS Glue, Redshift, S3, and Lambda to process and analyze large datasets, ensuring data quality and security. Strong programming skills and knowledge of cloud architecture are essential for this role.

What is the salary of AWS Data Engineer?

The average salary for an AWS Data Engineer typically ranges from $90,000 to $150,000 annually, depending on experience, location, and certifications such as AWS Certified Data Analytics. Senior roles or those with specialized skills in cloud architecture may earn higher salaries.

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

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

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

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

What cities in Alabama are hiring for Aws Data Engineer jobs?

Cities in Alabama with the most Aws Data Engineer job openings:

Infographic showing various Aws Data Engineer job openings in Alabama as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, 1% Temporary, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $117,573 per year, or $56.5 per hour.

Senior Data Engineer

TalentBridgeX

Huntsville, AL

$104K - $141K/yr

Full-time

Posted 3 days ago

New


Job description

Senior Data Engineer

Location: Huntsville, AL – 100% Onsite, 5 days/week

Client/Program: FBI – EOD

Clearance: Top Secret

Position Overview

We are seeking a Senior Data Engineer to support mission-driven data engineering initiatives for the FBI. The ideal candidate will have strong hands-on experience designing, developing, operationalizing, and maintaining data systems, with ETL/ELT pipeline development being one of the most important indicators of a strong candidate.

The role focuses on building scalable data pipelines and platforms, integrating disparate structured and unstructured data, and supporting data architecture, modeling, ingestion, database management, and cloud-based data solutions.

The successful candidate should demonstrate strong data engineering fundamentals and experience across multiple areas of the data engineering lifecycle. Candidates do not need to have every technology or functional area listed below.

Key Responsibilities

  • Design, develop, deploy, and maintain scalable data systems and data platforms.

  • Build and maintain ETL/ELT data pipelines for large-scale batch and streaming workflows.

  • Extract, transform, load, and integrate data from disparate structured, unstructured, and event-streaming sources.

  • Support data ingestion, data modeling, schema design, database management, and data architecture activities.

  • Develop and optimize data pipelines and platforms for scalability, reliability, and performance.

  • Work with cloud-based data environments, with AWS strongly preferred.

  • Analyze and tune data lake architecture, cloud storage, and data pipeline performance.

  • Work with relational databases and technologies such as SQL and PostgreSQL.

  • Collaborate with analysts, developers, data engineers, and data consumers in an Agile environment.

  • Support data management activities involving data catalogs, governance, data usage, and lifecycle management.

  • Help design and implement enterprise-scale data and analytics solutions.

  • Apply appropriate data security, access control, and data protection practices.

Required Qualifications

  • Fully adjudicated Top Secret clearance; interim TS is not acceptable.

  • Bachelor's degree with 8+ years of relevant experience, or 12+ years of relevant experience without a degree.

  • Strong hands-on ETL/ELT experience.

  • Experience designing, developing, operationalizing, and maintaining data systems.

  • Experience building scalable ETL/ELT pipelines and automating batch and/or streaming data workflows.

  • Strong programming/data skills in one or more of the following:
    • SQL

    • Python

    • Java

    • Scala

    • Spark

  • Experience in a combination of at least two of the following areas:
    • Data architecture

    • Data modeling

    • Data ingestion

    • Schema design

    • Database management

    • Relational databases

    • Cloud data engineering experience.

Preferred Qualifications

  • AWS cloud experience, particularly AWS data services.

  • AWS RDS experience is particularly relevant.

  • Azure cloud/data engineering experience may also be considered.

  • Experience architecting and designing large-scale enterprise data and analytics systems.

  • Experience with AWS or Azure data products, such as:
    • AWS EMR

    • AWS Glue

    • AWS RDS

    • Azure Dataverse

    • Azure Data Factory

    • Power Apps

  • Experience with distributed data/computing technologies, including:
    • Apache Spark

    • Databricks

    • Apache NiFi

    • Airflow

    • Snowflake

    • Redshift

    • BigQuery

  • Experience with data lakes, data warehouses, RESTful API models, event processing, or business intelligence.

  • Experience with NoSQL databases such as Elasticsearch, Solr, MongoDB, or Cosmos DB.

  • Experience with AI/ML data pipelines and processes.

  • Experience with federal information system policies, including NIST 800-53 and FISMA.

  • Experience with CI/CD and automation tools such as Jenkins or GitHub.

  • TS/SCI with polygraph is a nice-to-have, but is not required for this position.