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Sr Data Engineer Jobs in Alabama (NOW HIRING)

Deloitte

Senior Data Engineer

Huntsville, AL · Hybrid

$104K - $141K/yr

As an experienced Senior Data Engineer you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity ...

Kemper

Senior Data Engineer

Birmingham, AL · Remote

$99K - $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 ...

Trideum

Senior Data Scientist

Huntsville, AL

Senior Data Scientist/Data Engineer Full-time Huntsville, AL About Us Trideum Corporation is a 100% employee-owned company, committed to embracing the worlds toughest challenges with a servants heart.

New

Cintel, Inc.

Data Engineer (Senior)

Huntsville, AL

$104K - $141K/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 ...

Cintel Inc

Data Engineer (Senior)

Huntsville, AL · On-site

$104K - $141K/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 ...

Cintel Inc.

Data Engineer (Senior)

Huntsville, AL · On-site

$104K - $141K/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 ...

Cintel, Inc.

Data Engineer- Senior

Huntsville, AL

$110K - $149K/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 ...

Cintel Inc

Data Engineer- Senior

Huntsville, AL · On-site

$110K - $149K/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 ...

Cintel Inc.

Data Engineer- Senior

Huntsville, AL · On-site

$110K - $149K/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 ...

PeopleTec, Inc.

Data Engineer

Huntsville, AL · On-site

$113K - $136K/yr

They are currently seeking a Senior Data Engineer to support their Huntsville location, responsible for delivering advanced visual analytic applications and designing enterprise database systems.

Vultus Inc

Senior Data Scientist

Birmingham, AL · On-site +1

$130K - $170K/yr

Senior Data Scientist Experience: 6-10 Years Job Type: Full-Time Location: Remote / Hybrid / Onsite ... Collaborate with product managers, business analysts, and engineering teams. * Validate model ...

New

PeopleTec, Inc.

Data Engineer

Huntsville, AL · On-site

$119K - $143K/yr

PeopleTec is currently seeking a Senior Data Engineer to support our Huntsville, AL location. Job Functions: * Responsible for carrying out engineering tasks to deliver an advanced visual analytic ...

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Showing results 1-20

All JobsSr Data Engineer JobsSr Data Engineer Jobs in Alabama

Sr Data Engineer information

See Alabama salary details

$73.4K

$114.5K

$158.6K

How much do sr data engineer jobs pay per year?

As of Jul 31, 2026, the average yearly pay for sr 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 is the difference between Sr Data Engineer vs Data Engineer?

AspectSr Data EngineerData Engineer
Required CredentialsBachelor's degree in CS or related field; 3+ years experience; SQL, Python, SparkBachelor's degree in CS or related field; 1-3 years experience; SQL, Python, Spark
Work EnvironmentCollaborates with data scientists, analysts; designs scalable data pipelinesBuilds and maintains data pipelines; supports data analysis
Employer & Industry UsageTech companies, finance, healthcare; used for complex data projectsStartups, enterprises; used for data collection and processing

The main difference between a Sr Data Engineer and a Data Engineer lies in experience level, responsibilities, and complexity of projects. Sr Data Engineers typically have more experience, handle more complex data architecture, and mentor junior staff, whereas Data Engineers focus on building and maintaining data pipelines. Both roles are essential in data-driven organizations, but the senior role involves greater technical leadership and strategic planning.

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

To thrive as a Sr Data Engineer, you need expertise in data architecture, ETL processes, programming (such as Python or Scala), and a strong background in computer science or a related field. Familiarity with big data technologies like Hadoop, Spark, cloud platforms (AWS, Azure, GCP), and database management systems, along with relevant certifications, is typically required. Advanced problem-solving abilities, attention to detail, and strong collaboration skills help set top performers apart in this role. These skills and qualities ensure the efficient design, implementation, and maintenance of robust data pipelines that enable data-driven decision-making across the organization.

How do Sr Data Engineers typically collaborate with data scientists and analysts within a project team?

Sr Data Engineers play a crucial role in bridging the gap between raw data and actionable insights. They work closely with data scientists and analysts to understand data requirements, design robust data pipelines, and ensure the reliability and scalability of data infrastructure. Regular collaboration involves translating analytical needs into technical specifications, optimizing data flow, and troubleshooting data issues. This teamwork ensures that data-driven projects progress smoothly and that the analytical team has timely access to clean, well-structured data.

What are Sr Data Engineers?

Sr Data Engineers, or Senior Data Engineers, are experienced professionals responsible for designing, building, and maintaining scalable data pipelines and architectures. They work with large datasets, ensuring data quality, reliability, and accessibility for analytics and business intelligence purposes. Sr Data Engineers collaborate with data scientists, analysts, and other stakeholders to implement data solutions that support decision-making and business growth. Their expertise often includes proficiency in programming languages like Python or Java, experience with big data tools such as Hadoop or Spark, and a deep understanding of database systems.
What are popular job titles related to Sr Data Engineer jobs in Alabama? For Sr Data Engineer jobs in Alabama, the most frequently searched job titles are:
What job categories do people searching Sr Data Engineer jobs in Alabama look for? The top searched job categories for Sr Data Engineer jobs in Alabama are:
What cities in Alabama are hiring for Sr Data Engineer jobs? Cities in Alabama with the most Sr Data Engineer job openings:
Sr Data Engineer jobs near you
Infographic showing various Sr Data Engineer job openings in Alabama as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $114,502 per year, or $55 per hour.

Senior Data Engineer

Deloitte

Huntsville, AL • Hybrid

$104K - $141K/yr

Other

Re-posted 22 days ago

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 91 frontline employees who took The Breakroom Quiz

56th of 149 rated financial services

Job description

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Senior Data Engineer you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite client service delivery.

Recruiting for this role ends on 12/31/2026.

Work you'll do/Responsibilities  

  • Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management
  • Design, develop and optimize ETL/ELT pipelines using Azure Data Factory (ADF) and Databricks
  • Write and tune PySpark / Spark SQL notebooks for large-scale data transformation
  • Architect end-to-end data solutions across dev UAT prod environments using Unity Catalog
  • Lead and drive design discussions with client architects and other counterparts
  • Collaborate with different teams on data contracts and schema agreements
  • Lead design and optimization of high-volume data pipeline.
  • Define and enforce data engineering standards - naming conventions, partitioning strategies, cluster configurations, Spark tuning
  • Drive performance optimization - AQE tuning, liquid clustering, broadcast joins, shuffle partition management
  • Design Databricks cluster policies, autoscaling configurations, and cost optimization strategies
  • Conduct root cause analysis on production incidents and implement permanent fixes
  • Mentor junior and mid-level engineers through code reviews and pair programming
  • Evaluate new technologies and recommend adoption (e.g., DABs, DLT, Auto Loader, Serverless Compute, event hubs)

The Team

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Required Qualifications

  • Python, PySpark, Spark SQL, SQL Server
  • Azure (ADF, ADLS Gen2, Key Vault, Azure Monitor)
  • Databricks (Delta Lake, Unity Catalog, Workflows)
  • Apache Airflow
  • Git / Azure DevOps
  • Deep Spark internals (DAG optimization, spill analysis, skew handling)
  • Delta Lake advanced features (time travel, deletion vectors, predictive I/O)
  • Unity Catalog governance (row/column security, external locations, system tables)
  • IaC - Terraform, Azure ARM templates
  • Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience
  • Limited immigration sponsorship may be available
  • Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $95,000 to $150,000.

This position is aligned with the Project. To view the associated benefit package, please reference this document Project/Center: USBenefitsJourneyProjectandCenterTAM.

Additional Requirements

Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html

Qualifications:

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Senior Data Engineer you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite client service delivery.

Recruiting for this role ends on 12/31/2026.

Work you'll do/Responsibilities  

  • Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management
  • Design, develop and optimize ETL/ELT pipelines using Azure Data Factory (ADF) and Databricks
  • Write and tune PySpark / Spark SQL notebooks for large-scale data transformation
  • Architect end-to-end data solutions across dev UAT prod environments using Unity Catalog
  • Lead and drive design discussions with client architects and other counterparts
  • Collaborate with different teams on data contracts and schema agreements
  • Lead design and optimization of high-volume data pipeline.
  • Define and enforce data engineering standards - naming conventions, partitioning strategies, cluster configurations, Spark tuning
  • Drive performance optimization - AQE tuning, liquid clustering, broadcast joins, shuffle partition management
  • Design Databricks cluster policies, autoscaling configurations, and cost optimization strategies
  • Conduct root cause analysis on production incidents and implement permanent fixes
  • Mentor junior and mid-level engineers through code reviews and pair programming
  • Evaluate new technologies and recommend adoption (e.g., DABs, DLT, Auto Loader, Serverless Compute, event hubs)

The Team

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Required Qualifications

  • Python, PySpark, Spark SQL, SQL Server
  • Azure (ADF, ADLS Gen2, Key Vault, Azure Monitor)
  • Databricks (Delta Lake, Unity Catalog, Workflows)
  • Apache Airflow
  • Git / Azure DevOps
  • Deep Spark internals (DAG optimization, spill analysis, skew handling)
  • Delta Lake advanced features (time travel, deletion vectors, predictive I/O)
  • Unity Catalog governance (row/column security, external locations, system tables)
  • IaC - Terraform, Azure ARM templates
  • Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience
  • Limited immigration sponsorship may be available
  • Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $95,000 to $150,000.

This position is aligned with the Project. To view the associated benefit package, please reference this document Project/Center: USBenefitsJourneyProjectandCenterTAM.

Additional Requirements

Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html

Education:Bachelor's DegreeEmployment Type:

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