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Data Analytics Engineer Jobs in Alabama (NOW HIRING)

Landing

Senior Analytics Engineer

Birmingham, AL · On-site

$97K - $134K/yr

We're a data-driven PropTech company and our BI team is the analytical backbone of the business ... Analytics engineering standards, tooling decisions, and the long-term roadmap of our data platform.

IGNITE

DATA ENGINEER/DATA ANALYST

Huntsville, AL · On-site

Job Title DATA ENGINEER/DATA ANALYST Location Huntsville, AL US (Primary) Category Engineering Job ... advanced analytics, and programmatic domains. As an employee-owned SDVOSB headquartered in ...

kgs

Data Engineer/Analyst

Huntsville, AL · On-site

The Data Engineer/Data Analyst will partner with mission stakeholders, analysts, developers, and ... Troubleshoot data pipelines, analytics workflows, dashboards, and platform issues, including timely ...

kgs

Data Engineer/Analyst

Huntsville, AL · On-site

The Data Engineer/Data Analyst will partner with mission stakeholders, analysts, developers, and ... Troubleshoot data pipelines, analytics workflows, dashboards, and platform issues, including timely ...

Pwc

Data Engineer - Senior Associate

Birmingham, AL

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

Pwc

Data Engineer - Senior Manager

Birmingham, AL

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

Pwc

Data Engineer - Manager

Birmingham, AL

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

Apex Systems

Data Analyst

Birmingham, AL · On-site

Bachelor's degree in Data Analytics, Information Systems, Business, Mathematics, Engineering, GIS, Computer Science, or a related field. * 0-2 years of experience in data analysis, data management ...

Chronos Operations, LLC

Data Engineer

Huntsville, AL · On-site

$119K - $143K/yr

Overview Data Engineer Huntsville, AL Are you ready to enhance your skills and build your career in ... Collect, store, process, and analyze raw and/or complex data from multiple sources, recommend ways ...

Chenega Corporation

Data Engineer

Huntsville, AL · Hybrid

$119K - $143K/yr

Summary Data Engineer Huntsville, AL Are you ready to enhance your skills and build your career in ... Collect, store, process, and analyze raw and/or complex data from multiple sources, recommend ways ...

Chronos Operations, LLC

Data Engineer

Huntsville, AL · Hybrid

$112K - $135K/yr

Summary Data Engineer Huntsville, AL Are you ready to enhance your skills and build your career in ... Collect, store, process, and analyze raw and/or complex data from multiple sources, recommend ways ...

Chronos Operations, LLC

Data Engineer

Huntsville, AL · Hybrid

$119K - $143K/yr

Overview Data Engineer Huntsville, AL Are you ready to enhance your skills and build your career in ... Collect, store, process, and analyze raw and/or complex data from multiple sources, recommend ways ...

Chenega MIOS

Data Engineer

Huntsville, AL · On-site

$109K - $131K/yr

Req ID: 41158 Summary Data Engineer Huntsville, AL Are you ready to enhance your skills and build ... Collect, store, process, and analyze raw and/or complex data from multiple sources, recommend ways ...

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Showing results 1-20

All JobsData Analytics Engineer JobsData Analytics Engineer Jobs in Alabama

Data Analytics Engineer information

See Alabama salary details

$40.3K

$117.6K

$160.9K

How much do data analytics engineer jobs pay per year?

As of Jul 15, 2026, the average yearly pay for data analytics 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.

How do Data Analytics Engineers typically collaborate with data scientists and business stakeholders on projects?

Data Analytics Engineers play a crucial role in bridging the gap between raw data and actionable insights by building, optimizing, and maintaining data pipelines. They often work closely with data scientists to ensure data is clean, accessible, and structured for advanced analytics or machine learning models. Additionally, they collaborate with business stakeholders to understand reporting requirements and ensure that data solutions align with organizational objectives. Regular communication and cross-functional teamwork are essential aspects of this role, as engineers must translate business needs into technical specifications and deliver reliable data products.

Can a data engineer make 200k?

Data engineers can earn $200,000 or more annually, especially with experience, advanced skills in cloud platforms, big data tools, and certifications. Salaries vary by location, industry, and company size, with senior roles and those in high-demand markets more likely to reach or exceed this level.

What engineers make $500,000?

Senior data analytics engineers with extensive experience, advanced skills in data modeling, machine learning, and proficiency with tools like Python, SQL, and cloud platforms can reach salaries of $500,000 or more, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires a combination of technical expertise, leadership roles, and sometimes equity compensation.

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

To thrive as a Data Analytics Engineer, you need strong proficiency in data modeling, SQL, and statistical analysis, typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools such as Python, R, Apache Spark, Tableau, and cloud data platforms like AWS or Google BigQuery is essential, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you translate data insights into actionable business solutions. These skills and qualities are crucial for designing robust data pipelines and enabling data-driven decision-making across organizations.

Is 40 too late for data science?

Data Analytics Engineers and data science professionals can successfully transition into the field at age 40 or older, as skills such as programming, statistical analysis, and experience with tools like Python or SQL are valuable regardless of age. Many employers value diverse experience and lifelong learning, and certifications or online courses can help enhance credentials at any age.

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

AspectData Analytics EngineerData Scientist
CredentialsBachelor's or master's in CS, Data Science, or related fields; certifications like Google Data AnalyticsBachelor's or master's in CS, Statistics, or related fields; certifications like Certified Data Scientist
Work EnvironmentFocus on building data pipelines, dashboards, and analytics toolsFocus on statistical modeling, machine learning, and data exploration
Employer & Industry UsageUsed across tech, finance, healthcare for data infrastructure and analyticsCommon in research, product development, and advanced analytics teams

While both roles work with data, Data Analytics Engineers primarily develop data infrastructure and tools for analysis, whereas Data Scientists focus on statistical modeling and machine learning to generate insights. They often collaborate but have distinct technical focuses.

What does a data analytics engineer do?

A data analytics engineer designs, builds, and maintains data pipelines and systems to collect, process, and analyze large datasets. They use tools like SQL, Python, and cloud platforms to enable data-driven decision-making and often collaborate with data scientists and business teams to deliver actionable insights.
What are the most commonly searched types of Data Analytics Engineer jobs in Alabama? The most popular types of Data Analytics Engineer jobs in Alabama are:
What are popular job titles related to Data Analytics Engineer jobs in Alabama? For Data Analytics Engineer jobs in Alabama, the most frequently searched job titles are:
What job categories do people searching Data Analytics Engineer jobs in Alabama look for? The top searched job categories for Data Analytics Engineer jobs in Alabama are:
Data Analytics Engineer jobs near you
Infographic showing various Data Analytics Engineer job openings in Alabama as of July 2026, with employment types broken down into 100% Full Time. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $117,573 per year, or $56.5 per hour.
Senior Analytics Engineer

Senior Analytics Engineer

Landing

Birmingham, AL • On-site

$97K - $134K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago

Job description

About Landing
Since 2019, Landing has built the largest flexible living network in the country - 35+ markets, thousands of apartments, no deposits, no hassle. We're a data-driven PropTech company and our BI team is the analytical backbone of the business, powering the metrics, pipelines, and data models that leadership depends on every day to make high-stakes decisions.
About the role
This is a backend, infrastructure-first role. You will own Landing's dbt models, data pipelines, and warehouse architecture - the connective tissue between raw data and the metrics our Finance, Operations, and Revenue teams run on.
This is not a dashboard role. We care more about thoughtful architecture, business impact, and data quality than dashboards shipped or tickets closed. You'll inherit meaningful ownership from day one and have direct influence on the architecture, standards, and roadmap of our data ecosystem.
You will work closely with our consulting partners during onboarding to ensure a smooth transition of ownership over our current dbt infrastructure.
What you'll own
  • Our dbt model library - keeping models clean, tested, documented, and aligned with how the business actually uses data, with a focus on onboarding new data sources and pipelines (Heap, Clarity, GA4, and other web-based metrics).
  • Landing's ELT stack - including Stitch, Snowflake, dbt, and associated monitoring and orchestration tooling, with a focus on reliability, performance, and lineage clarity.
  • A finance and operations data spine - the authoritative source of truth for our core executive KPIs, metric definitions, and warehouse logic.
  • Analytics engineering standards, tooling decisions, and the long-term roadmap of our data platform.
  • Cross-functional data partnerships with Engineering, FP&A, and Accounting - translating between technical infrastructure and business need in both directions, including working closely with Engineering on new field creation in Admin.
  • Data quality standards, testing frameworks, and metric governance practices across the team.
  • Executive, board, and investor reporting - your work directly supports high-stakes decision-making and fundraising activities.
  • Sprint planning and prioritization for the BI request queue, in collaboration with the BI team and cross-functional stakeholders.

What we're looking for
  • 5+ years in Analytics Engineering, Data Engineering, or Business Intelligence with a strong backend focus.
  • Expert-level dbt - production models at scale, with fluency in testing, documentation, lineage, and model architecture best practices.
  • Strong SQL and deep experience designing data models for analytical use cases.
  • Hands-on Snowflake experience (or comparable cloud warehouse: Redshift, BigQuery, Vertica).
  • Experience building and maintaining data pipelines - you understand ELT patterns, source system integration, and how to build for reliability.
  • The ability to translate between technical infrastructure and business context - you can sit with FP&A or Accounting, understand what they actually need, and build a model that delivers it.
  • A bias toward documentation, clarity, and ownership - you leave things better than you found them.
  • Comfort with ambiguity and fast-moving priorities - judgment matters here.
  • Strong communication skills - you can explain a data model to an analyst and a pipeline failure to a CFO.

Nice to have
  • Experience with Sigma or Looker for downstream analytics and dashboard development.
  • Familiarity with PropTech, hospitality, or real estate metrics (occupancy, ADR, RevPAR, NRR).
  • Exposure to data governance frameworks and metric layer tooling (e.g. MetricFlow, dbt Semantic Layer).
  • Python or scripting experience for pipeline automation or data quality tooling.
  • Experience in a high-growth, investor-backed company where data integrity directly supports fundraising and board reporting.

What we offer
  • Competitive compensation + stock options
  • Comprehensive benefits - Medical, Dental, Vision, Life and AD&D, Disability, Mental Health, Pet, Commuter, FSA or HSA
  • 401(k) plan and access to ImmediatePay
  • Generous PTO policy
  • Opportunities for upward mobility - we want you to grow with us
  • $750 annually in Landing Stays

Landing is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, including pregnancy, sexual orientation, gender identity, and related conditions, national origin, age, disability, genetic information, military service or obligation, or any other status protected by applicable federal, state, or local law.

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