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Quantitative Data Engineer Jobs in Lafayette, LA

... engineering services, or offshore and marine construction. What matters most is a solid estimating ... Data Management: Assist in maintaining estimating databases, cost libraries, and historical project ...

... missing data handling in alignment with the statistical analysis plan (SAP). * Identify ... Advanced degree (MSc or PhD) in Biostatistics, Statistics, or a closely related quantitative field.

Quantitative Data Engineer information

See Lafayette, LA salary details

$10.5K

$123.8K

$189.1K

How much do quantitative data engineer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for quantitative data engineer in Lafayette, LA is $123,829.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,300.00 and $132,300.00 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 Lafayette, LA?

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

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

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

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

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

Infographic showing various Quantitative Data Engineer job openings in Lafayette, LA as of June 2026, with employment types broken down into 93% Full Time, 4% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $123,829 per year, or $59.5 per hour.

Full-time

Re-posted 13 days ago


Job description

The Opportunity


We are looking for a driven and detail-oriented Junior Estimator to join our estimating and project development team. This is a foundational role within a company that operates like a mini-EPC — meaning you will gain exposure to the full project lifecycle, from initial client inquiry through cost development, proposal delivery, and project handoff.


You will work alongside experienced estimators and project managers to develop competitive cost proposals, build out scope of work documentation, coordinate with vendors and subcontractors, and support the preparation of professional proposals for oil and gas clients. You will also interact directly with clients on an as-needed basis via email and phone, so clear and professional communication is essential.


We are open to candidates with estimating experience across a range of disciplines — structural steel, piping, mechanical equipment, I&E, field services, engineering services, or offshore and marine construction. What matters most is a solid estimating foundation, strong command of Excel and Word, and the ambition to grow within a specialized upstream O&G project delivery environment.


Key Responsibilities


  • Cost Estimating: Develop accurate, competitive cost estimates across the full project scope — labor, materials, equipment, subcontractors, and overhead — for upstream O&G and energy infrastructure clients.
  • Scope Development: Assist in defining and documenting scope of work based on client-furnished drawings, specifications, and engineering documents — both Loadmaster-generated and client-supplied.
  • Proposal Preparation: Produce clear, professional, and well-structured bid proposals, cost sheets, and supporting documentation for client submission.
  • Drawing & Specification Review: Interpret structural drawings, P&IDs, welding symbols, and contract documents to establish project requirements and identify scope gaps or risks.
  • Material Take-Offs: Perform detailed take-offs for structural steel, pipe, mechanical components, and ancillary materials across varying project types.
  • Vendor & Subcontractor Coordination: Solicit, review, and evaluate quotes from suppliers and subcontractors to support competitive and accurate bid development.
  • Project Processing: Prepare complete project transition packages for awarded work, ensuring a clean and thorough handoff to the project management and production teams.
  • Data Management: Assist in maintaining estimating databases, cost libraries, and historical project data to support continuous improvement, benchmarking, and reporting.
  • Client Communication: Engage professionally with clients via email and phone on an as-needed basis to clarify scope, answer questions, and support the estimating process.
  • Cross-Functional Collaboration: Coordinate closely with engineering, sales, project management, and production to gather inputs, resolve scope questions, and develop winning proposals.
  • Market & Industry Awareness: Stay current on upstream O&G market conditions, material pricing trends, and developments across relevant industrial disciplines.


Qualifications


Education

  • High school diploma or equivalent required.
  • Associate’s degree, technical certificate, or coursework in engineering, construction management, or a related field is preferred.


Experience

  • Minimum 1 year of estimating experience in any of the following: structural steel fabrication, piping, upstream drilling or production facilities, offshore or marine construction, mechanical equipment, I&E, field services, or engineering services. Background in upstream O&G or drilling contractor environments is especially valued.
  • Experience developing cost proposals, bid packages, or scope of work documentation in a project-based environment.
  • Ability to read and interpret engineering drawings, specifications, and technical documents across structural, mechanical, or piping disciplines.
  • Exposure to ERP systems, estimating platforms, or project data management tools is a plus.


Technical Skills

  • Advanced proficiency in Microsoft Excel — cost modeling, take-offs, and data analysis.
  • Strong proficiency in Microsoft Word for proposal writing and professional documentation.
  • Experience with estimating or project management platforms (e.g., Procore, Tekla, SDS/2, or similar) is a plus.
  • Basic familiarity with AutoCAD or similar drawing review tools is helpful.
  • Working knowledge of relevant industry codes and standards (AISC, AWS, API, ASME, ABS, DNV, ISO 9001, etc.) is preferred but not required.


Soft Skills

  • Exceptional attention to detail and a commitment to accuracy in all deliverables.
  • Strong analytical and quantitative reasoning.
  • Professional written and verbal communication — you will interact with clients.
  • Able to manage competing priorities and deadlines in a fast-paced project environment.
  • Collaborative by nature, with the confidence to work independently when needed.
  • Curious, coachable, and motivated to grow within a specialized O&G project delivery company.