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Data Engineer Biotech Remote Jobs (NOW HIRING)

Jobgether

$88K - $106K/yr

Working in a fully remote, international environment, you'll collaborate closely with data ... Your work will directly contribute to impactful domains such as biotech, pharma, and enterprise ...

NAVA Software Solutions

Data Engineer - Remote

Manhattan, NY · On-site +1

$126K - $151K/yr

Data Engineer Duration: 6-12 months Location: Remote Seeking a highly skilled and motivated Data Engineer to join a dynamic team. As a key contributor, you will be responsible for integrating into ...

NAVA Software Solutions

Data Engineer - Remote

Richmond, VA · On-site +1

$113K - $136K/yr

Data Engineer Location: 100% Remote Duration: 12 months Required Qualifications: * 7+ Years Experience in the following: Python, Java, Scala, Spark, AirFlow, Javascript/TypeScript * 3+ Years ...

OmegaHires

Data Engineer

$75 - $100/hr

Remote - United States Employment type: Contract (6-12+ months) Indicative rate: $75-$100/hr Role Summary We are hiring a data engineer to build and maintain scalable data pipelines, warehouse models ...

Noblesoft Technologies

Data Engineer

Minneapolis, MN · Remote

$117K - $140K/yr

Job Role - Data Engineer Location - Minneapolis, MN(Remote) Job Details: Candidate should be proficient in Data engineering skills : Data Bricks, ADF, Python, Pyspark, Azure services Data Engineer

Lancesoft

Data Engineer

Boston, MA · On-site +1

$60 - $62/hr

Remote (The person can be remote, though local to Boston.) Details: Client is seeking a Data Engineer to design, develop, implement discrete data pipelines in support of RAG-based retrieval ...

Changeis

Data Engineer

$117K - $140K/yr

Data Engineer (Remote - Federal Contract Opportunity) We are seeking a Data Engineer to support U.S. Federal clients in designing, building, and maintaining scalable data solutions. This role focuses ...

Noblesoft Technologies

Data Engineer

Secaucus, NJ · Remote

$117K - $140K/yr

Job Role - Data Engineer Location - Secaucus, NJ(Remote) Job Details: We are seeking a skilled Data Engineer with strong experience in Snowflake, Python, Matillion, AWS Required Qualifications:

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How much do data engineer biotech remote jobs pay per year?

As of Jun 5, 2026, the average yearly pay for data engineer biotech remote in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Engineer in biotech, working remotely, and why are they important?

To thrive as a Data Engineer in biotech, you need a strong background in computer science, data modeling, and knowledge of biology or life sciences, often supported by a relevant degree. Proficiency with tools such as SQL, Python, cloud platforms (AWS, GCP), and experience with data pipeline frameworks (e.g., Apache Airflow) are typically required, along with certifications in cloud technologies or data engineering. Strong problem-solving abilities, attention to detail, and effective remote communication skills set top performers apart in this role. These skills ensure the accurate management and integration of complex biological data, enabling robust analysis and supporting critical research initiatives in a distributed work environment.

What does a Data Engineer in biotech do, especially in a remote role?

A Data Engineer in the biotech industry is responsible for designing, building, and maintaining the systems and infrastructure that collect, store, and process large volumes of biological and clinical data. In a remote setting, they collaborate with cross-functional teams to ensure data integrity, security, and accessibility, often leveraging cloud platforms and modern data tools. Their work enables researchers and scientists to analyze complex datasets efficiently, supporting breakthroughs in drug discovery, genomics, and healthcare innovation.

How does a remote Data Engineer in biotech typically collaborate with cross-functional teams?

As a remote Data Engineer in the biotech industry, you'll frequently collaborate with data scientists, bioinformaticians, and software engineers through virtual meetings and shared project management tools. Effective communication is crucial, as you'll be responsible for understanding data requirements, integrating diverse data sources, and ensuring data pipelines meet the needs of both research and product teams. You'll often participate in agile workflows, daily stand-ups, and code reviews to stay aligned with project goals. Building strong documentation and maintaining clear channels for feedback are key practices that help bridge any gaps created by remote work.
Sr. Engineer - Biotech Environment & Sustainability - Remote

Sr. Engineer - Biotech Environment & Sustainability - Remote

3 Key Consulting

Thousand Oaks, CA • Remote

$95K - $117K/yr

Full-time

Posted 28 days ago

Job description

Overview Job Title: Sr. Engineer – Biotech Environment & Sustainability – Remote (JP13584) Location: Thousand Oaks, CA (Remote work) Business Unit: Environment & Sustainability Employment Type: Contract Duration: 6 months with possible extension Rate: 40-50 USD/hour W2 DOE with benefits Posting Date: 1/28/2025 Target Start Date: 2/10/2025 3 Key Consulting is hiring! We are recruiting a Sr Engineer for a consulting engagement with our direct client, a leading global biotechnology company.

Ideal Candidate : The ideal candidate will have a strong background in lifecycle analysis, data inventory gathering, and managing large datasets. Key responsibilities include working with internal and external suppliers, leveraging programming languages such as R and Python, and delivering compelling presentations supported by strong data visualization skills. Preferred educational background in Environmental Science from UCSB or Duke University.

Technical Skills Expertise in lifecycle analysis. Proven ability to gather and manage inventory data from various sources. Proficiency in programming languages such as R and Python.

Strong data visualization and presentation skills. About the Role As a member of the Environmental Sustainability team, you will play a pivotal role in developing and expanding the Life Cycle Assessment (LCA) library. This role involves creating robust LCA frameworks, gathering and analyzing life cycle inventory (LCI) data, and ensuring compliance with national and international standards.

You will contribute directly to advancing environmental transparency and sustainability in the pharmaceutical sector. Key Responsibilities LCA Development: Design and expand Life Cycle Assessment (LCA) methodologies tailored to the pharmaceutical industry. Integrate emerging life cycle approaches and adapt them for regulatory purposes.

Data Collection & Management: Gather life cycle inventory (LCI) data from internal teams and external sources, including contract manufacturing partners. Aggregate, clean, and operationalize large datasets for use in LCA modeling. Compliance Analysis: Analyze existing LCA methodologies for compliance with international standards (e.g., ISO 14040/14044) and country-specific regulations, including France's Climate and Resilience Law.

Ensure adherence to best practices in environmental labeling and sustainability reporting. Collaboration & Stakeholder Engagement: Work closely with stakeholders, including government bodies, pharmaceutical companies, and external consultants, to ensure accuracy and alignment with regulatory goals. Programming & Data Science: Leverage programming languages like R or Python for data analysis, modeling, and automation.

Top Must Have Skill Sets Experience conducting cradle to grave life cycle assessments Experience managing large data sets using programming tools such as R and Python Experience gathering life cycle inventory data from external partners Strong communication and data visualization skills Day to Day Responsibilities Gather life cycle inventory data from external manufacturing partners Efficiently aggregate and operationalize life cycle data Apply client\'s life cycle analysis methodology to calculate cradle to grave life cycle assessment Basic Qualifications Doctorate degree OR Master degree and 3 years of experience OR Bachelor degree and 5 years of experience OR Associate degree and 10 years of experience Employee Value Proposition: Leading Biotech Industry Experience. Interview Process Phone Screening Panel Interview We invite qualified candidates to send your resume to recruiting@3keyconsulting.com . If you decide that you're not interested in pursuing this position, please feel free to review other opportunities at www.3keyconsulting.com/careers.

You are also welcome to share this opportunity with anyone who might be interested in applying for this role. #J-18808-Ljbffr

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