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Dbt Analytics Jobs in Alabama (NOW HIRING)

Forhyre

Senior Product Analyst

Montevallo, AL · On-site +1

Proficiency with tools like dbt, Looker, or other data visualization tools, along with a solid grasp of statistical fundamentals (A/B testing, regression) * Familiarity with leading product analytics ...

4pconsultinginc

Data Visualization Engineer I

Birmingham, AL · On-site

$107K - $128K/yr

This role combines analytical thinking, technical capability, and visual storytelling to transform ... R or Java * pandas * dbt * Git * Tableau * Power BI * Microsoft Excel Familiarity with: * ETL ...

PingWind

AI Solution Engineer- Ops

Huntsville, AL · On-site +1

$121K - $169K/yr

... dbt, or equivalent) Produce analytics outputs that feed Red Team vulnerability assessments and Blue Team mitigation planning Participate in data quality validation workflows and contribute to ...

PingWind

AI Solution Engineer- Ops

Huntsville, AL · On-site

$121K - $169K/yr

... Spark, dbt, or equivalent) • Produce analytics outputs that feed Red Team vulnerability assessments and Blue Team mitigation planning • Participate in data quality validation workflows and ...

PingWind

AI Solution Engineer- Ops

Huntsville, AL · On-site +1

$121K - $169K/yr

Build and maintain data pipeline automation using Python, SQL, and orchestration frameworks (Airflow, Spark, dbt, or equivalent) * Produce analytics outputs that feed Red Team vulnerability ...

Mission Pet Health

Senior Statistical Analyst

Birmingham, AL · On-site

$81K - $100K/yr

Experience with product analytics platforms (Amplitude, Mixpanel, or similar) * Familiarity with dbt and cloud data warehouses (Snowflake, ClickHouse, BigQuery, or similar) * Experience in health ...

EBSCO Industries Inc

Data Scientist

Birmingham, AL · On-site

MLflow Typical work includes building and maintaining feature stores Snowflake/dbt, training and ... Analytics team as well as business stakeholders to align work with highest business impact. Job ...

EBSCO Industries, Inc.

Data Scientist

Birmingham, AL · On-site

MLflow Typical work includes building and maintaining feature stores Snowflake/dbt, training and ... Analytics team as well as business stakeholders to align work with highest business impact. Job ...

AeroVironment, Inc.

Infrastructure Manager

Huntsville, AL · On-site

$106K - $162K/yr

... DBT Infrastructure systems that support business operations function efficiently. Additionally, the infrastructure manager will supervise a team of analysts and engineers who support and develop ...

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Dbt Analytics information

See Alabama salary details

$34K

$57.9K

$83.4K

How much do dbt analytics jobs pay per year?

As of Aug 6, 2026, the average yearly pay for dbt analytics in Alabama is $57,921.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,000.00 and $64,400.00 per year, depending on experience, location, and employer.

What is a dbt analytics?

A dbt Analytics job typically refers to a role focused on using dbt (data build tool) to transform, test, and document data within a data warehouse. Professionals in this field design and manage data models, write SQL-based transformations, and ensure data quality for analytics purposes. They collaborate with data engineers and analysts to build efficient, maintainable workflows that support business intelligence and data-driven decision-making. dbt Analytics jobs require strong SQL skills, familiarity with modern data stack tools, and an understanding of data modeling best practices.

What are the key skills and qualifications needed to thrive as a dbt analytics professional?

To thrive as a DBT Analytics professional, you need strong SQL skills, a solid understanding of data modeling, and experience with analytics engineering, typically backed by a degree in a quantitative field. Familiarity with the DBT (Data Build Tool) platform, cloud data warehouses like Snowflake or BigQuery, and version control systems such as Git is essential. Attention to detail, problem-solving abilities, and effective communication help you collaborate with stakeholders and ensure data reliability. These skills and tools are crucial for transforming raw data into actionable insights and maintaining robust, scalable analytics infrastructure.

How does a dbt analytics professional typically collaborate with data engineers and analysts within a team?

Dbt Analytics professionals play a key role in bridging the work of data engineers and data analysts. They transform raw data into clean, well-documented, and analysis-ready datasets using dbt (data build tool), ensuring consistency and reliability. Collaboration often involves working closely with data engineers to understand data sources and pipelines, while also partnering with analysts to tailor data models to business needs. Effective communication and regular feedback loops are crucial, as dbt professionals often serve as the link between technical data infrastructure and business-facing analysis.

What is the difference between Dbt Analytics vs Data Analyst?

AspectDbt AnalyticsData Analyst
Required CredentialsSQL, data modeling, analytics certificationsStatistics, Excel, SQL, sometimes certifications
Work EnvironmentData teams, analytics platforms, cloud environmentsBusiness units, reporting tools, spreadsheets
Industry UsageData transformation, modeling, analytics pipelinesData interpretation, reporting, insights

While Dbt Analytics focuses on transforming and modeling data within analytics workflows, Data Analysts primarily interpret data and generate reports. Both roles require SQL skills and work closely with data teams, but Dbt Analytics emphasizes data transformation using tools like dbt, whereas Data Analysts focus on analyzing and communicating insights.

Is dbt analytics in demand?

Dbt analytics roles are increasingly in demand as companies focus on data transformation and analytics workflows. Skills in SQL, data modeling, and tools like dbt are valuable for data analysts and engineers working in modern data environments.
What are popular job titles related to Dbt Analytics jobs in Alabama? For Dbt Analytics jobs in Alabama, the most frequently searched job titles are:
What job categories do people searching Dbt Analytics jobs in Alabama look for? The top searched job categories for Dbt Analytics jobs in Alabama are:
What cities in Alabama are hiring for Dbt Analytics jobs? Cities in Alabama with the most Dbt Analytics job openings:
Dbt Analytics jobs near you
Infographic showing various Dbt Analytics job openings in Alabama as of August 2026, with employment types broken down into 1% Internship, 92% Full Time, 3% Part Time, and 4% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $57,921 per year, or $27.8 per hour.

Data Engineer- BI Developer

Diversified Gas & Oil Corporation

Birmingham, AL • On-site

Full-time

Posted 23 days ago

Job description

COMPANY PROFILE
Diversified Gas & Oil Corporation ("DGOC") is a wholly-owned subsidiary of Diversified Energy Company PLC, a US-based company listed on the New York Stock Exchange (NYSE) and London Stock Exchange (LSE) under the ticker symbol "DEC". Diversified Gas & Oil Corporation (DGOC) is an established owner and operator of producing conventional and unconventional natural gas & oil wells and midstream pipelines and compression stations concentrated in the Appalachian Basin in the United States. Headquartered in Birmingham, AL, our field operations are located throughout the Appalachian Basin in the states of Tennessee, Kentucky, Virginia, West Virginia, Ohio, and Pennsylvania. In 2021, Diversified announced our expansion into our Central Regional Focus Area, which includes producing areas within Louisiana, Texas, Oklahoma, and Arkansas.
POSITION SUMMARY & RESPONSIBILITIES:
Diversified Energy Company (DEC) is a leading natural gas operator with a long-term focus on sustainable, low-decline production assets across the Appalachian Basin and beyond. Headquartered in Birmingham, Alabama, DEC is transforming how upstream energy companies use data to improve operational performance, increase shareholder value, and responsibly steward energy resources.
Position Summary
The Data Engineer / BI Developer is responsible for designing, building, and optimizing the data pipelines, transformation models, semantic views, and analytical infrastructure that power enterprise reporting and analytics at DEC. This role partners closely with the Senior Manager of Business Analytics, developers, and other cross-functional resources to deliver scalable, governed data solutions across the full platform stack. The Senior Data Engineer translates business and analytical requirements into reliable, high-performance data models and pipelines using Snowflake, dbt, SQL, and the Microsoft Power BI and Fabric ecosystem.
This individual will serve as a hands-on technical contributor and cross-functional collaborator, working directly with the VP of Business Intelligence & Analytics and engaging with business stakeholders, the data engineering team, and IT partners. Success in this role requires strong coding discipline, platform depth in Snowflake, and the ability to deliver quality work in a fast-moving, maturing data environment.
Key Responsibilities
Data Engineering & Pipeline Development
  • Design, build, and maintain ELT/ETL pipelines using dbt Core and Snowflake as the primary transformation and serving layer.
  • Develop well-structured, tested, and documented semantic views following established medallion and semantic layer patterns.
  • Implement change data capture and streaming ingestion patterns where required.
  • Own end-to-end data flow from raw ingestion through consumption-ready analytical models.

Snowflake Platform Engineering
  • Develop and maintain Snowflake Dynamic Tables for automated, low-latency data transformations.
  • Build Snowflake Cortex Analyst integrations to support AI-powered data interaction and natural language query patterns.
  • Design and implement Snowflake Semantic Views as part of the enterprise semantic and metric layer.
  • Leverage Apache Iceberg Tables within Snowflake for open table format and cross-platform interoperability.
  • Manage warehouse sizing, multi-cluster configuration, and auto-suspend policies to govern credit consumption.
  • Perform query profiling and optimization including clustering strategy, search optimization, and result cache utilization.
  • Support credit governance through resource monitor configuration and cost attribution reporting.

BI Development & Semantic Layer
  • Develop Snowflake Artifacts for governed use across the organization.
  • Develop certified datasets, governed report templates, and reusable components for the user experience layer.

Architecture & Governance
  • Contribute to data architecture design including source system modeling and consumption layer structure.
  • Support data governance practices including lineage, catalog metadata, column-level security, and row-level security.
  • Assist with SOX compliance requirements including change control documentation and audit trail for data platform assets.
  • Participate in data quality framework design.
  • Implement and maintain CI/CD pipelines.

Cross-Functional Collaboration
  • Partner with business analysts and reporting consumers to translate requirements into well-designed data objects.
  • Provide technical direction and code reviews to the Snowflake development team.
  • Engage with IT infrastructure, security, and enterprise architecture on platform and integration decisions.
  • Contribute to the Power User Group and data stewardship program as a technical subject matter expert.

Technical Stack
Data Platforms: Snowflake, dbt , Microsoft Fabric
Visualization Tools: Microsoft Power BI, Snowflake Artifacts
Languages & Query: SQL, Python, DAX
Snowflake Advanced: Dynamic Tables, Cortex Analyst, Semantic Views, Apache Iceberg Tables
Governance & Lineage: Atlan, column/row-level security, SOX change control, audit logging
Cloud Platform: Microsoft Azure
POSITION REQUIREMENTS:
  • Bachelor's degree in Computer Science, Information Systems, or a related field required.
  • 5+ years of hands-on data engineering experience in a cloud-native data warehouse environment.
  • Expert-level Snowflake proficiency including data modeling, performance tuning, warehouse management, and security.
  • Experience with Snowflake Dynamic Tables, Cortex Analyst, Semantic Views, or Apache Iceberg
  • Advanced SQL skills including window functions, CTEs, query optimization, and execution plan analysis.
  • Strong ELT experience with dbt Core or dbt Cloud including models, tests, macros, snapshots, and sources.
  • CI/CD experience with Git-based workflows and pipeline automation.
  • Experience designing semantic models and/or medallion architecture patterns.
  • Demonstrated ability to work cross-functionally with technical and non-technical stakeholders.
  • Strong written and verbal communication skills with the ability to articulate technical concepts clearly.
  • Experience with Power BI development including semantic model design and DAX authoring is a plus.
  • Familiarity with Microsoft Fabric, OneLake, or Direct Lake mode is a plus.
  • Oil & Gas or energy sector experience is a plus.

Office Physical Requirements and Working Conditions:
  • Prolonged periods working at a desk in front of a computer.

Additional Requirements:
  • Must be able to lift up to 15 pounds at a time.

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