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Quantitative Data Engineer Jobs in Baton Rouge, LA

Databricks

Specialist Solutions Architect - AI/ML

Central, LA · On-site +1

$58.25 - $76.75/hr

... Engineering, or a quantitative discipline (or equivalent experience) * Willingness to travel up to 30% as needed Nice to Have * Databricks certifications (Data Engineer, ML, Platform) * Experience ...

K2M Design Inc.

Power Systems Assessor

Baton Rouge, LA · On-site

Able to structure and process qualitative and quantitative data and draw insightful conclusions from it. * Work Ethic. Has a strong willingness to work hard and sometimes long hours to get the job ...

Wood Plc

GIS Analyst - FEMA

Baton Rouge, LA · Remote

Perform GIS database development, qualitative/quantitative analysis, and mapping as a member of a ... Customize GIS workflow and software programs for data collection, engineering, and environmental ...

Varsity Tutors

College Math Tutor

Baton Rouge, LA · Remote

$18 - $40/hr

... programming, and mathematical modeling. Ability to explain quantitative reasoning, set theory ... Guides students through interpreting data sets, constructing logical arguments, solving ...

Traylor Bros. Inc.

Senior Estimator

Baton Rouge, LA

$109K - $161K/yr

... other data to prepare time, cost, materials, and labor estimates * Confer with engineers ... or quantitative productivity standards * Ability to maintain regular, punctual attendance ...

Turner Industries

Lab Technician

Saint Gabriel, LA · On-site

$18.25 - $24.25/hr

... quantitative analyses of solids, liquids, and gaseous materials for research and development of new ... engineers; perform additional assignments per supervisor's direction Qualification Standards:

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All JobsQuantitative Data Engineer JobsQuantitative Data Engineer Jobs in Baton Rouge, LA

Quantitative Data Engineer information

See Baton Rouge, LA salary details

$10.6K

$124.5K

$190.1K

How much do quantitative data engineer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for quantitative data engineer in Baton Rouge, LA is $124,510.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,900.00 and $133,000.00 per year, depending on experience, location, and employer.

What is a quantitative data engineer?

A Quantitative Data Engineer is a professional who designs, builds, and maintains data infrastructure that supports quantitative analysis, typically in finance or technology sectors. They work closely with quantitative analysts and data scientists to ensure efficient data pipelines, data quality, and high-performance systems for processing large datasets. Their responsibilities include developing ETL processes, optimizing databases, and implementing data models to support research and trading strategies. Strong programming skills, expertise in big data technologies, and knowledge of quantitative methods are essential for this role.

How does a quantitative data engineer typically collaborate with data scientists and quantitative analysts on projects?

Quantitative Data Engineers work closely with data scientists and quantitative analysts to design, build, and optimize data pipelines that support complex modeling and analytics. They are often responsible for ensuring data quality, scalability, and efficient data processing, enabling analysts to focus on developing models and extracting insights. Regular collaboration includes translating analytical requirements into technical solutions, troubleshooting data issues, and iterating on data infrastructure to support evolving project needs. This teamwork fosters an environment where technical and analytical expertise complement each other, leading to more robust and actionable results.

What are the key skills and qualifications needed to thrive as a quantitative data engineer, and why are they important?

To excel as a Quantitative Data Engineer, you need strong proficiency in programming (such as Python, R, or C++), advanced mathematical and statistical knowledge, and a relevant degree in computer science, mathematics, or a related field. Experience with big data tools (like Spark, Hadoop), cloud platforms, and data pipeline systems, as well as familiarity with financial data sets, is typically required. Analytical thinking, detail orientation, and effective problem-solving skills distinguish top performers in this role. These competencies are critical for efficiently transforming complex data into actionable insights and supporting robust quantitative models in data-driven environments.

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

AspectQuantitative Data EngineerData Scientist
Primary FocusBuilding data pipelines, data infrastructure, and ensuring data qualityAnalyzing data, creating models, and deriving insights
Skills & ToolsSQL, Python, Spark, ETL processes, data architectureStatistics, machine learning, Python/R, data visualization
CredentialsComputer science, engineering, or related degrees; certifications in data engineeringStatistics, data science, or related degrees; certifications in data analysis or machine learning
Work EnvironmentData engineering teams, data infrastructure projectsData analysis teams, research, and modeling projects

While both roles work closely with data, Quantitative Data Engineers focus on building and maintaining data systems, whereas Data Scientists analyze data to generate insights and models. They often collaborate but have distinct skill sets and responsibilities within data-driven organizations.

What are popular job titles related to Quantitative Data Engineer jobs in Baton Rouge, LA?

For Quantitative Data Engineer jobs in Baton Rouge, LA, the most frequently searched job titles are:

What job categories do people searching Quantitative Data Engineer jobs in Baton Rouge, LA look for?

The top searched job categories for Quantitative Data Engineer jobs in Baton Rouge, LA are:

What cities near Baton Rouge, LA are hiring for Quantitative Data Engineer jobs?

Cities near Baton Rouge, LA with the most Quantitative Data Engineer job openings:

Quantitative Data Engineer jobs near you
Infographic showing various Quantitative Data Engineer job openings in Baton Rouge, LA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $124,510 per year, or $59.9 per hour.

Specialist Solutions Architect - AI/ML

Databricks

Central, LA • On-site, Remote

$58.25 - $76.75/hr

Full-time

Posted 17 days ago

Key responsibilities

  • Lead the end-to-end AI/ML technical strategy for customer accounts, from discovery to production deployment.

  • Lead complex architecture discussions to design scalable, production-grade AI/ML solutions including RAG, tool calling, multi-agent orchestration, and observability systems.

  • Serve as a trusted technical advisor to customer architects, engineering leads, and Directors.

Job description

FEQ427R382

As an AI/ML Specialist Solutions Architect (SSA), you will lead the advanced AI/ML technical strategy for your customers - owning complex architecture discussions, driving platform adoption, and serving as a trusted advisor to customer technical leads and architects. You combine deep technical expertise with strategic thinking to position Databricks as the foundation of your customers' data and AI strategy. You are further developing a technical specialization and are recognized within the Field Engineering team for depth in the specific domain.
This position can be remote. 

The Impact You Will Have

  • Own the end-to-end AI/ML technical strategy for your accounts, from discovery through production deployment and consumption growth
  • Lead complex architecture discussions - designing scalable, production-grade solutions spanning AI/ML, including Retrieval-Augmented Generation (RAG), tool calling, multi-agent orchestration, guardrails, AI evaluation, and observability systems
  • Serve as a trusted technical advisor to customer architects, engineering leads, and Directors
  • Drive technical wins in competitive scenarios by demonstrating Databricks' differentiation through custom-built solutions
  • Develop and declare an emerging technical specialization (archetype) - becoming a go-to resource for your team in that domain
  • Orchestrate cross-functional resources (DSAs, SAs, Partners) to deliver comprehensive solutions for complex customer needs
  • Influence product direction by providing structured feedback on customer requirements and competitive gaps

What We Look For

  • 6+ years in solutions architecture, technical pre-sales, or a senior hands-on technical role in the following areas:
    • ML Engineering: Building and maintaining cloud infrastructure (AWS, Azure, or GCP) supporting production ML applications and drift monitoring
    • AI Engineering: Working with LLMs and agentic systems, including vector databases, fine-tuning, AI guardrails, and frameworks like LangChain, Hugging Face, or OpenAI APIs
  • Strong coding proficiency in Python and SQL - you must demonstrate live coding, debugging, and solution-building skills
  • Deep expertise in distributed data systems architecture: designing scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms
  • Proficient on the Databricks Platform (or demonstrated ability to achieve proficiency rapidly) with a developing technical specialization in one area (e.g., real-time/streaming, ML/AI, data governance, migrations)
  • Proven ability to lead architecture discussions with senior technical stakeholders - whiteboarding, design reviews, and trade-off analysis
  • Experience with production deployments on public cloud (AWS, Azure, or GCP), including infrastructure, security, and governance considerations
  • Track record of driving platform adoption and consumption growth within accounts
  • Excellent communication skills - able to translate complex architectures into business value for both technical and executive audiences
  • Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience)
  • Willingness to travel up to 30% as needed

Nice to Have

  • Databricks certifications (Data Engineer, ML, Platform)
  • Experience with competitive platforms (Snowflake, AWS native services, Azure Synapse) - understanding the landscape you'll position against
  • Background in a data/AI company or cloud provider
  • Industry domain expertise (Financial Services, Healthcare, Retail, Media, etc.)

Apply