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Analytics Engineer Jobs in Atlanta, GA (NOW HIRING)

MM International

Google Analytics Architect

Atlanta, GA · On-site

Strong knowledge of SQL, Python, R, or other data analysis/programming languages. * Experience with big data technologies like Hadoop, Spark, or cloud platforms (AWS, GCP, Azure). * Experience with ...

Sovos Compliance

Senior Data Engineer

Atlanta, GA · On-site

$101K - $138K/yr

... Engineer is the foundation it all runs on. In this role, you'll own the full pipeline stack: from ... , Accounting, and leadership rely on to make critical decisions. You'll design and build the ...

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Analytics Engineer information

See Atlanta, GA salary details

$61.9K

$108K

$176.2K

How much do analytics engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for analytics engineer in Atlanta, GA is $108,042.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,683.00 and $121,272.00 per year, depending on experience, location, and employer.

What do analytics engineers do?

Analytics engineers design, build, and maintain data pipelines and infrastructure to enable data analysis and reporting. They work with tools like SQL, Python, and data warehouses to ensure data is accurate, accessible, and well-structured for analysts and data scientists. Their role often involves collaborating with teams to optimize data workflows and ensure data quality.

What are the key skills and qualifications needed to thrive as an analytics engineer, and why are they important?

To thrive as an Analytics Engineer, you need a strong foundation in data modeling, SQL, and analytics engineering principles, often supported by a degree in computer science, data science, or a related field. Proficiency with data transformation tools such as dbt, cloud data warehouses like Snowflake or BigQuery, and version control systems like Git is essential. Strong problem-solving skills, communication, and collaboration abilities help translate business needs into scalable data solutions and foster teamwork. These skills and qualities are crucial for ensuring data quality, building reliable analytics infrastructure, and enabling data-driven decision-making across organizations.

What is the difference between Analytics Engineer vs Data Engineer?

AspectAnalytics EngineerData Engineer
CredentialsOften requires SQL, Python, data modeling certificationsRequires similar skills, often with additional focus on infrastructure and systems
Work EnvironmentFocuses on data analysis, visualization, and reportingBuilds data pipelines, manages data infrastructure
Industry UsageCommon in analytics teams, BI, and data-driven rolesPrevalent in data engineering, data platform teams

While both roles work closely with data, Analytics Engineers primarily focus on transforming data for analysis and visualization, whereas Data Engineers build the infrastructure and pipelines that enable data access. Understanding these differences helps in choosing the right career path or job role.

How does an analytics engineer typically collaborate with data scientists and business stakeholders on projects?

Analytics Engineers play a critical bridge role between data engineering and data analysis. They work closely with data scientists to transform raw data into clean, reliable datasets that are ready for advanced analytics or modeling. At the same time, they collaborate with business stakeholders to understand reporting needs, ensuring that data models align with business goals. Regular communication and iterative feedback are key, as Analytics Engineers often gather requirements, build data pipelines, and adjust data products based on stakeholder input.

What is an analytics engineer?

An Analytics Engineer is a professional who bridges the gap between data engineering and data analysis. They are responsible for designing, building, and maintaining data models, pipelines, and analytics tools that enable organizations to make data-driven decisions. Analytics Engineers often work closely with data analysts and business stakeholders to ensure clean, reliable, and well-structured data is available for reporting and analysis. Their work typically involves using SQL, data transformation tools like dbt, and cloud data warehouses to create scalable and efficient data solutions.
What are the most commonly searched types of Analytics Engineer jobs in Atlanta, GA? The most popular types of Analytics Engineer jobs in Atlanta, GA are:
What are popular job titles related to Analytics Engineer jobs in Atlanta, GA? For Analytics Engineer jobs in Atlanta, GA, the most frequently searched job titles are:
What job categories do people searching Analytics Engineer jobs in Atlanta, GA look for? The top searched job categories for Analytics Engineer jobs in Atlanta, GA are:
What cities near Atlanta, GA are hiring for Analytics Engineer jobs? Cities near Atlanta, GA with the most Analytics Engineer job openings:
Analytics Engineer jobs near you
Infographic showing various Analytics Engineer job openings in Atlanta, GA as of August 2026, with employment types broken down into 92% Full Time, and 8% Contract. Highlights an 84% In-person, and 16% Remote job distribution, with an average salary of $108,042 per year, or $51.9 per hour.

Data Engineer, Manufacturing Quality

Anduril Industries

Atlanta, GA • On-site

$110K - $132K/yr

Other

Re-posted 15 days ago

Anduril rating

9.1

Company rating: 9.1 out of 10

Anduril

Based on 17 frontline employees who took The Breakroom Quiz

7.4

Company rating compared to similar companies: 7.4 out of 10

Manufacturers average

Based on 75,035 frontline employees who took The Breakroom Quiz

Job description

Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century's most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril's family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.
About the Team & Role
The Quality Intelligence team sits at the vital intersection of data, AI, and manufacturing quality at Anduril. We empower our factory floors through three distinct pillars: Analytics, Manufacturing AI, and Vision Inspection.
As a Quality Specialist within Quality Intelligence, you will own the end-to-end data and analytics products that directly impact our production lines, hardware quality engineers, and program leaders. Rather than sitting in a siloed back office, you will operate in a hub-and-spoke model. While HQ builds platform-grade analytics centrally, you will be the boots on the ground in Atlanta-partnering directly with the site's applications lead to localize, run, and scale the analytics our production floor depends on.
We build scorecards that catch quality drift before customers do, construct data pipelines that turn raw ERP/MES/QMS data into operational decisions, and deploy AI tools that compress hours of manual triage into minutes.
This position is based at our Atlanta, GA facility and requires up to 25% travel to other Anduril sites and key vendors.
What You'll Do
  • Operate at the Intersection of Hardware & Data: Spend time on the shop floor to deeply understand quality workflows. You will translate physical manufacturing processes into well-designed, actionable digital dashboards and analytics tools.
  • Own Atlanta's Analytics Architecture: Design, build, and operate the production scorecards, Piece Part Plan pipelines, and inspection-data analytics that run the Atlanta facility. Your local decisions will set the design patterns for other Anduril sites.
  • Wrangle Production Data: Pull from diverse hardware production systems (ERP, MES, QMS, inventory), build robust pipelines and ontologies in Palantir Foundry and Databricks, and partner with ML practitioners to ship analytics products operators rely on.
  • Investigate Data Quality at the Root: When a dashboard is inaccurate or a metric looks off, you are the lead investigator. You will run deep-dive analyses in SQL and Python, trace anomalies back through the technical stack, identify root causes, and fix them at the source.
  • Drive Technical Rigor: Implement automated data-quality checks, validation rules, and monitoring directly into our pipelines to ensure our quality data is provably trustworthy.
  • Lead Data Projects End-to-End: Partner cross-functionally with program quality leads and manufacturing engineers from initial requirements gathering to final deployment.
  • Build AI-Assisted Workflows: Develop small applications and automated workflows in Foundry Workshop / AIP that reduce repetitive analyst work by 10x.
  • Leverage AI Aggressively: We expect you to use AI tools (Cursor, Claude Code, Copilot, AIP) to draft pipelines, write tests, generate dashboards, and accelerate the repetitive parts of your day-to-day workflow.

Required Qualifications
  • Education: Bachelor's degree in Computer Science, Mechanical Engineering, Industrial Engineering, or a related technical field from an accredited engineering program.
  • Experience: 4+ years in a Data Engineer, Analytics Engineer, or similar role, with at least 2 years of applied data engineering experience directly within a manufacturing or hardware product engineering environment.
  • Domain Knowledge: A strong understanding of manufacturing workflows, quality gates, and how shop-floor data impacts product quality. Comfort working directly on active production floors.
  • Data Tooling: Production experience building and maintaining data pipelines in Palantir Foundry, Databricks, or an equivalent cloud lakehouse.
  • Advanced SQL & Python: Strong SQL skills for handling large, multi-source datasets (heterogeneous system joins, window functions, query tuning) and Python for data transformation (Pandas, PySpark, etc.).
  • AI Tooling Competency: Demonstrated experience utilizing modern AI coding tools with the critical-thinking ability to review and debug AI-generated outputs.
  • Problem Solving: Proven capability to perform root-cause analysis on complex data issues.
  • Communication: Ability to communicate plainly and effectively-translating complex data insights to a director without using jargon, and to an engineer without losing technical precision.
  • Security Clearance: Must be eligible to obtain and maintain a U.S. Government security clearance (this role is subject to ITAR).

Preferred Qualifications
  • Experience supporting analytics for hardware manufacturing (New Product Introduction (NPI), production ramp, or high-volume manufacturing) across systems like ERP (Oracle, NetSuite, SAP), MES, QMS, PLM (Teamcenter), or inventory management systems.
  • Familiarity with hardware quality methodologies: RCCA / 8D, FMEA, GD&T, IQC / OQC, and control-plan design.
  • Experience working in defense or highly regulated manufacturing environments (ITAR, AS9100, IPC-610, MIL-STD-1916, or similar).
  • Adherence to software engineering best practices: Git, code reviews, continuous integration (CI), and testing data code with the same rigor as application code.
  • Experience integrating Large Language Models (LLMs) or Machine Learning models into operational workflows (e.g., RAG over operational data, AI-assisted triage, or agentic data exploration).

The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:
Benefits
At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you're supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits.
Protecting Yourself from Recruitment Scams
Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information.
To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:
  • No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates.
  • Please always verify communications:
    • Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address.
    • Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to
  • Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links.
  • What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts.

Data Privacy
To view Anduril's candidate data privacy policy, please visit
By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.

Working at Anduril

About Anduril, in their own words

From Anduril

As the world enters an era of strategic competition, Anduril delivers cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the warfighter in months, not years.

What Anduril employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Anduril Industries logo

About Anduril Industries

Sourced by ZipRecruiter

Anduril Industries is a trailblazer in the technology industry based in Costa Mesa, CA, US. Founded in 2017 by Palmer Luckey, the creator of Oculus VR, the company focuses on developing innovative technology to equip and empower those in the defense sector. Its primary products include cutting-edge autonomous systems and AI software that assist in combating threats to national and global security. The mission of Anduril Industries is to integrate technology and defense by building transformative, scalable solutions that ensure a safer world.

Industry

Guided missile and space vehicle manufacturing

Company size

501 - 1,000 Employees

Headquarters location

Costa Mesa, CA, US

Year founded

2017

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