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Senior Data Engineer Jobs in Alabama (NOW HIRING)

Senior Data Engineer

Huntsville, AL · On-site

$104.40K - $141.90K/yr

Job Title Senior Data Engineer Location Huntsville, AL 35808 US (Primary) Category Information Technology Job Type Full-time Career Level Experienced (Non-Manager) Education High School / GED Travel ...

Sr. Data Engineer

Enterprise, AL · On-site

$90.70K - $109K/yr

Currently we are searching for a Sr Data Engineer to fulfill an immediate full-time vacancy. This position is a Full-Time, Direct Hire role that sits fully onsite in Southeast, AL. Day to day ...

Senior Data Engineer Position Location: Preferred Location: Pittsburgh, PA, 15222. Secondary Locations: Cleveland, OH, 44136 / Dallas, TX, 75234 / Birmingham, AL, 35233 / Phoenix, AZ, 85016. Hybrid 3 ...

Senior Data Engineer

Birmingham, AL

$99.30K - $135K/yr

PositionQualifications: * 8+ years of experience in data engineering, with 2+ years ina senior, lead, or architect capacity. * Advanced hands-onexpertisein Snowflake, including constant learning on ...

R0239155 Data Engineer, Senior The Opportunity: Ever-expanding technology like IoT, machine learning, and artifi cia l intelligence means that there's more structured and unstructured data available ...

Data Engineer- Senior

Huntsville, AL · On-site

$110.20K - $149.70K/yr

Data Engineer- Senior Position Location: Redstone Arsenal Position Type: Full-Time, On-Site Position Overview We are seeking a highly skilled Senior Data Engineer to support advanced intelligence and ...

Data Engineer- Senior

Huntsville, AL

$110.20K - $149.70K/yr

Data Engineer- Senior Position Location: Redstone Arsenal Position Type: Full-Time, On-Site Position Overview We are seeking a highly skilled Senior Data Engineer to support advanced intelligence and ...

Data Engineer (Senior)

Huntsville, AL · On-site

$104.40K - $141.90K/yr

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 ...

Data Engineer (Senior)

Huntsville, AL · On-site

$104.40K - $141.90K/yr

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 ...

Data Engineer (Senior)

Huntsville, AL · On-site

$104.40K - $141.90K/yr

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 ...

Data Engineer (Senior)

Huntsville, AL · On-site

$110.20K - $149.70K/yr

Data Engineer (Senior) Location: Redstone Arsenal Position Type: Full-Time Position Overview: We are seeking a highly experienced Senior Data Engineer to lead data engineering efforts for the ...

Data Engineer (Senior)

Huntsville, AL · On-site

$110.20K - $149.70K/yr

Data Engineer (Senior) Location: Redstone Arsenal Position Type: Full-Time Position Overview: We are seeking a highly experienced Senior Data Engineer to lead data engineering efforts for the ...

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Showing results 1-20

Senior Data Engineer information

See Alabama salary details

$73.4K

$114.5K

$158.6K

How much do senior data engineer jobs pay per year?

As of May 28, 2026, the average yearly pay for senior data engineer in Alabama is $114,502.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,100.00 and $130,500.00 per year, depending on experience, location, and employer.

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

To thrive as a Senior Data Engineer, you need strong expertise in data modeling, ETL development, programming (such as Python or Scala), and a degree in computer science or a related field. Proficiency with big data technologies (like Hadoop, Spark), cloud platforms (AWS, Azure, GCP), and database systems, as well as relevant certifications, is highly valuable. Excellent problem-solving, communication, and leadership skills help you collaborate across teams and mentor junior engineers. These skills and qualities ensure robust, scalable data solutions that support organizational decision-making and growth.

What are some common challenges Senior Data Engineers face when integrating data from multiple sources?

Senior Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Addressing these issues requires designing robust ETL (Extract, Transform, Load) pipelines, implementing data validation checks, and collaborating closely with source system owners to ensure data integrity. Effective communication with cross-functional teams and leveraging scalable data integration tools are also essential to streamline the process and minimize errors.

What are Senior Data Engineers?

Senior Data Engineers are experienced professionals who design, build, and maintain large-scale data processing systems and infrastructure. They are responsible for developing data pipelines, managing databases, and ensuring the efficient flow and integrity of data across various platforms. Senior Data Engineers often collaborate with data scientists, analysts, and other engineers to support business intelligence and machine learning projects. They also play a key role in implementing best practices for data security, quality, and governance within an organization.

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

AspectSenior Data EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience with data pipelinesBachelor's/Master's in CS, Statistics, or related; proficiency in statistical analysis and modeling
Work EnvironmentBuild and maintain data infrastructure, optimize data workflowsAnalyze data, develop predictive models, generate insights
Employer & Industry UsageTech companies, finance, healthcare, where data engineering is essentialResearch, marketing, tech firms focusing on data analysis and modeling

While both roles work with data, Senior Data Engineers focus on developing and maintaining data infrastructure, whereas Data Scientists analyze data to generate insights and build models. They often collaborate but have distinct skill sets and responsibilities.

What are the most commonly searched types of Data Engineer jobs in Alabama? The most popular types of Data Engineer jobs in Alabama are:
What are popular job titles related to Senior Data Engineer jobs in Alabama? For Senior Data Engineer jobs in Alabama, the most frequently searched job titles are:
What cities in Alabama are hiring for Senior Data Engineer jobs? Cities in Alabama with the most Senior Data Engineer job openings:
What are popular job titles related to Senior Data Engineer jobs in AL? For Senior Data Engineer jobs in AL, the most frequently searched job titles are:
Senior Data Engineer

Senior Data Engineer

TMC Technologies

Huntsville, AL • On-site

$104.40K - $141.90K/yr

Full-time

Posted 13 days ago


Job description

Job Title
Senior Data Engineer
Location
Huntsville, AL 35808 US (Primary)
Category
Information Technology
Job Type
Full-time
Career Level
Experienced (Non-Manager)
Education
High School / GED
Travel
None
Security Clearance Required
TS
Job Description
TMC Technologies is in search of a Senior Data Engineer to support ongoing development within the FBI's Enterprise Cyber Security Section. The candidate must be a US citizen and possess a minimum of an active Top Secret clearance to start due to federal contract requirements.
The Senior Data Engineer will have the following responsibilities:
- Deploy and develop pipelines and platforms that organize and make disparate data meaningful
- Guide a multi-disciplinary team of analysts, data engineers, developers, and data consumers in an agile environment
- Provide experience in analytical exploration and data examination
- Manage the assessment, design, building, and maintenance of scalable platforms
- 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; facilitating the bulk analysis of relational information utilizing advanced graphics, visualization, and high-performance computing, as well as using the specified open source, COTS, and GOTS technologies; and establishing an application that produces manageable, actionable intelligence from streams of a structured and semi-structured data
- Design strategies for enterprise database systems and set standards for operations, programming, and security
- Design and construct large relational databases
- Integrate new systems with existing warehouse structure and refine system performance and functionality
Job Requirements
- US Citizenship and active Top Secret clearance required
- Bachelor's degree and 8+ years of experience designing, developing, operationalizing, and maintaining data systems, or 12+ years of experience designing, developing, operationalizing, and maintaining data systems in lieu of degree
- Experience performing tuning on data lake architecture to optimize cloud storage and pipeline performance
- Experience with data management solutions that address aspects of data catalog, data usage, governance policies, and lifecycle management
- Experience designing data warehouse or data lake, RESTful API models, event processing, or business intelligence for software systems
- Experience building scalable ETL or ELT data pipelines, automating large-scale batch and streaming data workflows, and parsing structured, unstructured, or event-streaming data
- Experience with coding in software programming languages, including SQL, Python, Scala, Spark, or Java
Preferred Qualifications:
- SCI eligibility
- 3+ years of experience using and developing data systems with AWS and Microsoft Azure cloud data products such as AWS EMR, AWS Glue, Azure Dataverse, Azure Data Factory, and Power Apps
- Experience with distributed data or computing tools, including Apache Spark, Apache NiFi, AirFlow, Databricks, Snowflake, Redshift, or BigQuery
- Experience creating and improving continuous automation across multiple technical stacks, and automating CD/CD pipelines with tools such as Jenkins or GitHub
We are equal opportunity/affirmative action employers, committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected veteran status, or any other protected characteristic under state or local law.