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Biotechnology Engineer Jobs in Missouri (NOW HIRING)

Stellar IT Group

BioTech Data Engineer

Saint Louis, MO · On-site

$111K - $133K/yr

Job Title: Biotech Data Engineer Job Type: FTE Work Mode: Remote The Biotech Data Engineer focuses on designing, building, and maintaining scalable Azure Databricks-based data pipelines and ...

BIOSTL INC

FACILITY & LAB OPS MGR

Saint Louis, MO · On-site

QualificationsRequiredBachelor's degree in biology, biotechnology, engineering, facilities management, or a related field; equivalent experience will be considered. (assocites + exp)3+ years of ...

ABEC

Manufacturing Engineer

Springfield, MO · On-site

$66K - $85K/yr

Manufacturing Engineer Opportunity Be Part of Something Big: Manufacturing Engineer Opportunity at ... Experience in biotech, chemical manufacturing, or complex process equipment is a plus * Willingness ...

ABEC

Manufacturing Engineer

Springfield, MO · On-site

$66K - $85K/yr

Manufacturing Engineer Opportunity Be Part of Something Big: Manufacturing Engineer Opportunity at ... Experience in biotech, chemical manufacturing, or complex process equipment is a plus * Willingness ...

ABEC Inc

Manufacturing Engineer

Springfield, MO · On-site

$61K - $79K/yr

Manufacturing Engineer Opportunity at ABEC's Largest Global Facility! Drive Innovation. Build the ... Experience in biotech, chemical manufacturing, or complex process equipment is a plus * Willingness ...

ABEC Inc

Manufacturing Engineer

Springfield, MO · On-site

$61K - $79K/yr

Manufacturing Engineer Opportunity at ABEC's Largest Global Facility! Drive Innovation. Build the ... Experience in biotech, chemical manufacturing, or complex process equipment is a plus * Willingness ...

ABEC Inc

Manufacturing Engineer

Springfield, MO · On-site

$61K - $79K/yr

Manufacturing Engineer Opportunity at ABEC's Largest Global Facility! Drive Innovation. Build the ... Experience in biotech, chemical manufacturing, or complex process equipment is a plus * Willingness ...

kindeva

Manufacturing Engineer

Maryland Heights, MO

$70K - $90K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

... biotechnology, or regulated manufacturing environment (internships or co-op experience in ... Clear career progression path toward Senior Manufacturing Engineer roles * Collaborative and ...

kindeva

Manufacturing Engineer

Maryland Heights, MO

$70K - $90K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

... biotechnology, or regulated manufacturing environment (internships or co-op experience in ... Clear career progression path toward Senior Manufacturing Engineer roles * Collaborative and ...

kindeva

Manufacturing Engineer

Maryland Heights, MO · On-site

$70K - $90K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

... biotechnology, or regulated manufacturing environment (internships or co-op experience in ... Clear career progression path toward Senior Manufacturing Engineer roles * Collaborative and ...

kindeva

Manufacturing Engineer

Maryland Heights, MO

$70K - $90K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

... biotechnology, or regulated manufacturing environment (internships or co-op experience in ... Clear career progression path toward Senior Manufacturing Engineer roles * Collaborative and ...

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Showing results 1-20

All JobsBiotechnology Engineer JobsBiotechnology Engineer Jobs in Missouri

Biotechnology Engineer information

See Missouri salary details

$30.5K

$78.5K

$140.6K

How much do biotechnology engineer jobs pay per year?

As of Aug 13, 2026, the average yearly pay for biotechnology engineer in Missouri is $78,547.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,042.00 and $89,265.00 per year, depending on experience, location, and employer.

What does a biotechnology engineer do?

A Biotechnology Engineer applies principles of biology, chemistry, and engineering to develop products and technologies that improve human health, agriculture, and the environment. Their work includes designing processes for producing medicines, biofuels, and food, as well as developing equipment and systems for biotechnology applications. Biotechnology Engineers often collaborate with scientists and other engineers to innovate and solve complex biological problems, making their role crucial in advancing medical and agricultural technologies.

What are the key skills and qualifications needed to thrive as a biotechnology engineer?

To thrive as a Biotechnology Engineer, you need a strong background in biology, chemistry, and engineering principles, typically supported by a bachelor's or master's degree in biotechnology or a related field. Familiarity with laboratory equipment, bioinformatics tools, and regulatory standards such as GMP is essential. Critical thinking, problem-solving, and effective teamwork are standout soft skills in this role. These skills and qualities are crucial for developing innovative solutions and ensuring compliance in the rapidly evolving biotechnology industry.

What is the difference between Biotechnology Engineer vs Biomedical Engineer?

AspectBiotechnology EngineerBiomedical Engineer
Required CredentialsBachelor's or Master's in Biotechnology, Bioengineering, or related fieldsBachelor's or Master's in Biomedical Engineering, Bioengineering, or related fields
Work EnvironmentLaboratories, biotech companies, research facilitiesHospitals, medical device companies, research labs
Industry UsageBiotech firms, pharmaceutical companies, agricultural biotech
Common Search IntentComparing roles in biotech development and research

Biotechnology Engineers focus on developing and improving biotechnological products, often working in labs and biotech firms. Biomedical Engineers design medical devices and work closely with healthcare providers. While both roles require similar educational backgrounds, their work environments and industry applications differ, catering to different aspects of the life sciences sector.

What are some common challenges biotechnology engineers face when working on interdisciplinary teams?

Biotechnology Engineers often collaborate with professionals from biology, chemistry, computer science, and engineering backgrounds. A common challenge is bridging communication gaps due to varying technical vocabularies and priorities among disciplines. Successful engineers develop strong teamwork and communication skills to align goals, understand constraints, and integrate diverse expertise into innovative solutions. Building mutual respect and fostering open dialogue are essential for effective interdisciplinary collaboration.
What are popular job titles related to Biotechnology Engineer jobs in Missouri? For Biotechnology Engineer jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Biotechnology Engineer jobs in Missouri look for? The top searched job categories for Biotechnology Engineer jobs in Missouri are:
What cities in Missouri are hiring for Biotechnology Engineer jobs? Cities in Missouri with the most Biotechnology Engineer job openings:
Biotechnology Engineer jobs near you
Infographic showing various Biotechnology Engineer job openings in Missouri as of August 2026, with employment types broken down into 77% Full Time, 5% Part Time, and 18% Contract. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $78,547 per year, or $37.8 per hour.

BioTech Data Engineer

Stellar IT Group

Saint Louis, MO • On-site

$111K - $133K/yr

Full-time

Re-posted 11 days ago

Job description

Overview:
Job Title: Biotech Data Engineer
Job Type: FTE
Work Mode: Remote
The Biotech Data Engineer focuses on designing, building, and maintaining scalable Azure Databricks-based data pipelines and architectures that enable analytics, AI/ML, and reporting across commercial functions. It involves leading data engineering initiatives, ensuring governance and compliance, optimizing performance and costs, and collaborating across teams to advance the company's data and AI strategy. The role reports to the Director of Business Intelligence.
Roles & Responsibilities
  • Design, build, and maintain scalable, reliable, and cost-efficient data pipelines using Azure Databricks in support of analytics, machine learning, data science, and operational use cases
  • Lead data engineering initiatives that enable AI/ML model development, LLM integrations, and AI-driven applications while ensuring scalability and alignment with enterprise and business priorities
  • Architect and implement data integration frameworks across diverse Adtech and Martech ecosystems, incorporating Google Analytics, media campaign data, and third-party marketing APIs like Salesforce
  • Manage and optimize data ingestion, transformation, and storage processes using SQL, Python, and PySpark to integrate structured and unstructured data sources
  • Design and maintain API integrations with internal and external systems, including Python- and PySpark-based services and AI/LLM-powered APIs for advanced analytics and automation
  • Administer and maintain Azure-based data tools and platforms (e.g., Databricks, ADF) to ensure operational excellence, reliability, and security
  • Collaborate with internal stakeholders and external partners to evolve data platform design and architecture that supports advanced analytics, personalization, marketing intelligence, and marketing automation
  • Execute against the company's data and AI strategy by translating strategic goals into technical architecture, design and requirement documents, and implementation roadmaps
  • Ensure data quality, integrity, and consistency through robust validation, monitoring, and alerting mechanisms within Azure Databricks
  • Implement and enforce data governance, security, and compliance standards in collaboration with IT, InfoSec, and data governance teams
  • Partner with analytics, marketing, commercial operations, and core technology/cybersecurity teams to deliver fit-for-purpose commercial data products
  • Monitor and optimize data infrastructure costs, performance, and scalability across Azure cloud environments
  • Develop and maintain architecture documentation, pipeline specifications, and design diagrams for transparency and knowledge sharing with technical and business stakeholders
  • Participate in architecture discussions, design reviews, and CI/CD workflows to ensure high-quality engineering and deployment practices as part of an Agile engineering team
  • Continuously evaluate and recommend new Azure services, designs, improvements, frameworks, and AI integration tools to enhance our data platform
  • Drive automation, observability, and standardization across data workflows to improve efficiency and reduce manual intervention
  • Complete all job duties in compliance with company policy, SOPs, safety rules, and applicable federal, state, and local regulations

Education & Licenses And Experience
Bachelor of science degree required. A minimum of 5 years transferable working experience in the area of operational support of a Data Engineering, Data Architecture, or Cloud Platforms function preferred. The ideal candidate will have recent and relevant experience in the pharma or biotech industry.
Required Competencies & Skills
  • Experience with Azure Cloud (Databricks, DevOps, DataFactory)
  • Pharma / biotech domain experience, specifically within the commercial data space (sales, market access / payer, marketing)
  • Strong hands-on python, pyspark, and SQL skills
  • Direct experience with building and leveraging API integrations in ETL pipeline development
  • Experience integrating with current best-in-class AI models and APIs like OpenAI API, Databricks AI models, etc.
  • Self-driven with ability to independently design end-to-end data pipelines while ensuring architectural best practices
  • Ability to collaborate with a broad set of stakeholders to evaluate the business need and construct a technical design that can enable stakeholder priorities
  • Travel up to 20%

Preferred Competencies & Skills
  • Strong knowledge of and experience with maximizing business value using Databricks Unity Catalog or Databricks One capabilities
  • Familiarity with tools and practices in the Martech and Adtech landscape
  • Knowledge of Consumer, Patient, or HCP data ecosystems
  • Experience with identity providers like LiveRamp, Acxiom, Experian, etc.
  • Experience with custom-built or third-party Customer Data Platforms (CDP)
  • Experience with marketing automation tools

Skills:
Data Engineering

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