Data Engineer Jobs in Alabama
Data Engineer jobs in Alabama are concentrated in Huntsville, Birmingham, and Mobile, where employers like Dynetics, Regions Financial, and the University of Alabama at Birmingham actively recruit professionals skilled in data pipeline development, cloud architecture, and analytics engineering. Demand reaches from entry-level associates building ETL workflows to senior engineers designing enterprise data platforms across defense, banking, and healthcare sectors. Alabama's growing tech corridor in Huntsville, anchored by federal contractors and aerospace firms, has made it one of the more active markets in the Southeast for data-focused roles. See the openings below and apply to the ones that match your experience.
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Headquartered in Birmingham, Alabama, Moultrie (www.moultrie.com) is the leader in game feeders and cellular camera innovation, building products used by hunters, property owners, and others for real-time remote monitoring.
We take pride in developing deep user understanding, obsessing about the details, and going the extra mile to show our users we love them. Moultrie is customer-driven – hardware, software, marketing, and customer success teams collaborate to deliver a quality user experience.
We are guided by the following principles: Customer Obsession.; Excellence is the Standard.; Bias for Action.; Act Boldly.; Deliver Results.; Hire and Develop the Best.; Be Curious and Learn.; Win as a Team
Job Summary
Moultrie is looking for a Data Engineer to join the growing Data and Analytics Team. This team owns the development of insights from extraction that power decision-making across Moultrie. This role will contribute to maintaining and building upon the foundational data layer in Snowflake. The current engineering tech stack includes:
- Extraction/Ingestion: Fivetran, Azure Data Factory, APIs, Webscraping
- Transformation: dbt and Snowflake
- Loading/Integration: API, Cloud Data Ingestion
- Orchestration: Airflow is being evaluated, current stack is combination of Snowflake Tasks, ADF jobs, dbt jobs
Typical engineering work includes ingesting and reconciling data across various source systems (such as telemetry logs, customer and subscription records, transactional data) and building logic in line with medallion architecture to produce models that can be integrated into downstream systems. Work will require strong data engineer fundamentals and the ability to engage cross-functionally with other business teams to align BI products with existing needs.
The ideal candidate has expertise in full stack development and experience with stakeholder engagement and project-based development. This role works closely with the DnA Lead, internal stakeholders across the business, and technical teams in marketing, operations, and finance that own department specific tools that depend on data for activation.
Job Responsibilities
Data Modelling and Pipeline Management
- Design, build, and maintain pipelines that move data from source systems into Snowflake with documented ingestion patterns and alert systems for failures.
- Model data at a bronze, silver, gold, and platinum level in dbt with appropriate tests and documentation.
- Build and maintain semantic models that translate datasets for natural language querying.
- Contribute to the evaluation and selection of which downstream tools align best with the data build based on project and business need.
- Translate business questions from other departments into reliable and repeatable data models, working with DnA Lead to scope requirements and inform sequencing.
- Work with the data scientist to build models that feed predictive modelling efforts.
Data Quality and Governance
- Own data quality checks across the pipelines and models built including completeness, quality testing, and thresholds.
- Inform and maintain naming conventions, attribute definitions, and other context appropriate for analysis and utilization of data models for business stakeholders.
- Maintain incident and root cause documentation for pipeline failures, data quality regressions, and other bugs to ensure resolution and track incremental improvements.
Job Requirements
- 4+ years in data engineering or analytics engineering with hands-on experience building and maintaining production level data pipelines.
- Strong SQL proficiency: Experience building and maintaining, and optimizing modular logic in dbt.
- Python experience: Proficiency with using python for ingestion logic, data transformation when necessary, and other automation processes such as webscraping.
- Experience with Git and standard software development practices: version control, code reviews, branching, and CI/CD basics.
- Ability to take an ambiguous business problem and work backwards to produce models that support effective solutions by creating a list of requirements and working through sprints to deliver.
- Strong documentation practices: able to produce and maintain model definitions, lineage documentation, and data dictionaries that enable other developers and business stakeholders.
- Collaborative working style: comfortable operating at the boundary between data engineering, analytics, and business teams.
Preferred Qualifications
- Experience in retail, CPG, or consumer hardware.
- Familiarity with streaming or even-driven data patterns. This will become more important and the Data and Analytics function grows.
- Experience with Tableau, Streamlit, or other tools to facilitate development with business analysts.
- Exposure to machine learning workflows and feature store development to enable data science workflows.
Essential Job Function
We are an equal opportunity employer and comply with all applicable federal, state, and local fair employment practices laws. We strictly prohibit and do not tolerate discrimination against employees, applicants, or any other covered persons because of race, color, sex, pregnancy status, age, national origin or ancestry, ethnicity, religion, creed, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class. This policy applies to all terms and conditions of employment, including, but not limited to, hiring, training, promotion, discipline, compensation, benefits, and termination of employment.
We comply with the Americans with Disabilities Act (ADA), as amended by the ADA Amendments Act, and all applicable state or local law.
Headquartered in Birmingham, Alabama, Moultrie (www.moultrie.com) is the leader in game feeders and cellular camera innovation, building products used by hunters, property owners, and others for real-time remote monitoring.
We take pride in developing deep user understanding, obsessing about the details, and going the extra mile to show our users we love them. Moultrie is customer-driven – hardware, software, marketing, and customer success teams collaborate to deliver a quality user experience.
We are guided by the following principles: Customer Obsession.; Excellence is the Standard.; Bias for Action.; Act Boldly.; Deliver Results.; Hire and Develop the Best.; Be Curious and Learn.; Win as a Team
Job Summary
Moultrie is looking for a Data Engineer to join the growing Data and Analytics Team. This team owns the development of insights from extraction that power decision-making across Moultrie. This role will contribute to maintaining and building upon the foundational data layer in Snowflake. The current engineering tech stack includes:
- Extraction/Ingestion: Fivetran, Azure Data Factory, APIs, Webscraping
- Transformation: dbt and Snowflake
- Loading/Integration: API, Cloud Data Ingestion
- Orchestration: Airflow is being evaluated, current stack is combination of Snowflake Tasks, ADF jobs, dbt jobs
Typical engineering work includes ingesting and reconciling data across various source systems (such as telemetry logs, customer and subscription records, transactional data) and building logic in line with medallion architecture to produce models that can be integrated into downstream systems. Work will require strong data engineer fundamentals and the ability to engage cross-functionally with other business teams to align BI products with existing needs.
The ideal candidate has expertise in full stack development and experience with stakeholder engagement and project-based development. This role works closely with the DnA Lead, internal stakeholders across the business, and technical teams in marketing, operations, and finance that own department specific tools that depend on data for activation.
Job Responsibilities
Data Modelling and Pipeline Management
- Design, build, and maintain pipelines that move data from source systems into Snowflake with documented ingestion patterns and alert systems for failures.
- Model data at a bronze, silver, gold, and platinum level in dbt with appropriate tests and documentation.
- Build and maintain semantic models that translate datasets for natural language querying.
- Contribute to the evaluation and selection of which downstream tools align best with the data build based on project and business need.
- Translate business questions from other departments into reliable and repeatable data models, working with DnA Lead to scope requirements and inform sequencing.
- Work with the data scientist to build models that feed predictive modelling efforts.
Data Quality and Governance
- Own data quality checks across the pipelines and models built including completeness, quality testing, and thresholds.
- Inform and maintain naming conventions, attribute definitions, and other context appropriate for analysis and utilization of data models for business stakeholders.
- Maintain incident and root cause documentation for pipeline failures, data quality regressions, and other bugs to ensure resolution and track incremental improvements.
Job Requirements
- 4+ years in data engineering or analytics engineering with hands-on experience building and maintaining production level data pipelines.
- Strong SQL proficiency: Experience building and maintaining, and optimizing modular logic in dbt.
- Python experience: Proficiency with using python for ingestion logic, data transformation when necessary, and other automation processes such as webscraping.
- Experience with Git and standard software development practices: version control, code reviews, branching, and CI/CD basics.
- Ability to take an ambiguous business problem and work backwards to produce models that support effective solutions by creating a list of requirements and working through sprints to deliver.
- Strong documentation practices: able to produce and maintain model definitions, lineage documentation, and data dictionaries that enable other developers and business stakeholders.
- Collaborative working style: comfortable operating at the boundary between data engineering, analytics, and business teams.
Preferred Qualifications
- Experience in retail, CPG, or consumer hardware.
- Familiarity with streaming or even-driven data patterns. This will become more important and the Data and Analytics function grows.
- Experience with Tableau, Streamlit, or other tools to facilitate development with business analysts.
- Exposure to machine learning workflows and feature store development to enable data science workflows.
Essential Job Function
We are an equal opportunity employer and comply with all applicable federal, state, and local fair employment practices laws. We strictly prohibit and do not tolerate discrimination against employees, applicants, or any other covered persons because of race, color, sex, pregnancy status, age, national origin or ancestry, ethnicity, religion, creed, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class. This policy applies to all terms and conditions of employment, including, but not limited to, hiring, training, promotion, discipline, compensation, benefits, and termination of employment.
We comply with the Americans with Disabilities Act (ADA), as amended by the ADA Amendments Act, and all applicable state or local law.
See All 42 Data Engineer Jobs in Alabama
Find roles in Alabama that match your experience and apply in just a few clicks.
Find Data Engineer JobsData Engineer Jobs by City in Alabama
Where Alabama roles are concentrated, by current openings.
Data Engineer Job Market in Alabama
A snapshot from current Alabama openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Technology & Software
- Consulting & Professional Services
What Alabama Employers Look For
The qualifications that appear most often in data engineer jobs across Alabama.
- Bachelor's degree in computer science, information systems, or a related technical field
- Proficiency in SQL and at least one programming language such as Python or Scala
- Hands-on experience designing and maintaining ETL or ELT data pipelines
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud
- Experience with data warehousing tools such as Snowflake, Redshift, or BigQuery
- Knowledge of data modeling concepts and version control systems like Git
Data Engineer Jobs in Alabama: Frequently Asked Questions
How do you become a data engineer in Alabama?
There is no state-issued license required to work as a data engineer in Alabama. Most employers expect a bachelor's degree in computer science, information technology, or a related field, along with demonstrated skills in SQL, Python, and cloud data tools. Building a portfolio of pipeline or warehouse projects strengthens any application. Candidates targeting defense contractors in Huntsville may also need to qualify for a federal security clearance, which employers typically sponsor after hiring.
Which companies hire data engineers in Alabama?
Alabama data engineer roles are posted by Deloitte, garmac, and Raytheon and others right now, based on current listings on Migrate Mate as of September 2026. Defense and aerospace contractors in Huntsville, financial institutions headquartered in Birmingham, and large health systems such as UAB Medicine are among the most consistent sources of full-time openings in the state.
Which Alabama cities have the most data engineer jobs?
Huntsville, Montgomery, and Birmingham lead Alabama for data engineer openings. Huntsville's concentration of federal contractors, aerospace firms, and defense technology companies drives strong demand there, while Birmingham's banking headquarters and health systems anchor opportunities in the central part of the state, and Mobile's port-related logistics and manufacturing base contributes a smaller but steady share of roles.
Are there remote data engineer jobs in Alabama?
Yes, and more than most fields. Data engineering is largely desk-based work involving code, cloud platforms, and databases, which makes it well suited to remote arrangements. About 8% of data engineer openings tied to Alabama are remote or hybrid as of September 2026, reflecting how widely distributed the talent search has become for this role. Pipeline development, analytics engineering, and cloud infrastructure work are the sub-areas most commonly offered on a fully remote basis.
How can I get hired as a data engineer in Alabama with little or no experience?
The most realistic entry path is landing an associate or junior data analyst role first, then moving into engineering as you build pipeline and warehousing skills on the job. UAB, Auburn University, and the University of Alabama produce graduates who enter adjacent roles such as business intelligence analyst or database administrator at Birmingham health systems and Huntsville defense contractors before transitioning. Building a GitHub portfolio with documented ETL projects and earning a cloud certification from AWS or Google significantly strengthens early applications at Alabama employers who value demonstrated skill over years of experience.
Where can I find and apply to data engineer jobs in Alabama?
You can find and apply to data engineer jobs in Alabama on Migrate Mate, which lists current openings from employers hiring in the state right now. Search the listings to find roles that match your background, skills, and preferred location, then apply directly to the ones that fit.
See All 42 Data Engineer Jobs in Alabama
Find roles in Alabama that match your experience and apply in just a few clicks.
Find Data Engineer Jobs