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Internship Dna Extraction Jobs (NOW HIRING)

Sequoia Connect

Junior Data Engineer

Atlanta, GA · Remote

Write complex SQL queries for data extraction, transformation, validation, and reporting. * Help ... Technologist DNA: A deep understanding of the difference between "coding" and "engineering ...

Sequoia Connect

Junior Data Engineer

Mountain View, CA · On-site +1

Write complex SQL queries for data extraction, transformation, validation, and reporting. * Help ... Technologist DNA: A deep understanding of the difference between "coding" and "engineering ...

Sequoia Connect

Junior Data Engineer

Atlanta, GA · On-site +1

Write complex SQL queries for data extraction, transformation, validation, and reporting. * Help ... Technologist DNA: A deep understanding of the difference between "coding" and "engineering ...

HP Development Company, L.P.

Finance Intern

Spring, TX · On-site

$15.75 - $20.75/hr

... internship and available headcount). Interested candidates must be currently eligible to work in ... About Us Innovation is in HP's DNA. From our origins in a Palo Alto garage in 1939, to our current ...

Hp

Finance Intern

Spring, TX

$26/hr

... internship and available headcount). Interested candidates must be currently eligible to work in ... About Us Innovation is in HP's DNA. From our origins in a Palo Alto garage in 1939, to our current ...

New

IBM

Associate Consultant Interns are important and key players for our clients. You'll be their guide ... SQL skills, understanding data structures, extract/transform/load skills. * Data analysis skills.

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Internship Dna Extraction information

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How much do internship dna extraction jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for internship dna extraction in the United States is $17.31, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What does an internship in DNA extraction involve?

An internship in DNA extraction typically involves learning and assisting with laboratory techniques used to isolate DNA from various biological samples. Interns may prepare samples, operate laboratory equipment, follow strict protocols, and help analyze results. This experience is valuable for students interested in genetics, biotechnology, or related fields, as it provides hands-on training in essential molecular biology skills. Interns also develop a deeper understanding of the scientific process and laboratory safety procedures.

What are the key skills and qualifications needed to thrive as an intern in DNA extraction?

To thrive as an intern in DNA extraction, you need foundational knowledge in molecular biology, laboratory techniques, and attention to detail, often supported by coursework in biology or a related field. Familiarity with laboratory equipment, pipetting, PCR machines, and basic data analysis software is typically required. Strong organizational skills, effective communication, and the ability to follow protocols precisely are valuable soft skills in this role. These competencies ensure accurate experimental results, maintain laboratory safety, and contribute to the overall success of research projects.

What are some common challenges interns face during a DNA extraction internship, and how can they overcome them?

Interns in DNA extraction roles often encounter challenges such as mastering precise laboratory techniques and troubleshooting unexpected results, like low DNA yield or sample contamination. It's important to carefully follow established protocols, maintain meticulous records, and communicate openly with supervisors when issues arise. Collaborating with more experienced team members and seeking feedback can accelerate your learning curve. Building strong laboratory skills during your internship sets a solid foundation for future roles in molecular biology or genetics.

What is the difference between Internship Dna Extraction vs Laboratory Technician?

AspectInternship Dna ExtractionLaboratory Technician
CredentialsTypically students or entry-level with basic lab skillsRelevant certifications or degrees in laboratory sciences
Work EnvironmentResearch labs, educational settingsClinical, research, or industrial labs
Job ResponsibilitiesAssisting with DNA extraction procedures, learning techniquesPerforming DNA extraction, sample preparation, equipment maintenance

Internship Dna Extraction roles focus on training and assisting in DNA extraction processes, often for students or beginners. Laboratory Technicians have more hands-on responsibilities, requiring relevant certifications and experience. Both roles operate in lab environments but differ in scope and experience level.

What cities are hiring for Internship Dna Extraction jobs?

Cities with the most Internship Dna Extraction job openings:

What are the most commonly searched types of Dna Extraction jobs?

The most popular types of Dna Extraction jobs are:

What states have the most Internship Dna Extraction jobs?

States with the most job openings for Internship Dna Extraction jobs include:

Internship Dna Extraction jobs near you
Infographic showing various Internship Dna Extraction job openings in the United States as of August 2026, with employment types broken down into 8% Internship, 1% As Needed, 65% Full Time, 24% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 1% Hybrid, and 12% Remote job distribution, with an average salary of $35,995 per year, or $17.3 per hour.

Junior Data Engineer

Sequoia Connect

Atlanta, GA • Remote

Full-time

Posted 27 days ago

Job description

At Sequoia Connect, we are a Talent-First Technology Ecosystem that redefines how elite professionals interact with the global digital landscape. We move beyond traditional models to act as a catalyst for the top 1% of global talent, connecting human potential with complex industrial execution. By joining our inner circle, you are not simply taking a position; you are aligning with a strategic partner dedicated to updating your "Human OS" and accelerating your growth through world-class, high-impact projects.

We are currently partnering with a rapidly growing, automation-led powerhouse that serves 31 Fortune 500 companies across the financial, healthcare, and manufacturing sectors. With a global workforce of over 32,000 employees and a presence in 28 countries, our client is a titan of digital transformation. Their "Automate Everything, Cloudify Everything" strategy ensures you will be working at the absolute forefront of AI-driven automation and cloud solutions.

This is your chance to thrive in a "Customer Success, First and Always" environment that prizes continuous learning and radical ownership. You will collaborate within an international network of expertise across 39 delivery centers worldwide, gaining exposure to complex engineering challenges that redefine industrial standards. If you are a driven professional looking for a dynamic, forward-thinking workplace where your growth is the priority, this is where you belong.

We are currently searching for a Junior Data Engineer:

The Challenge (Responsibilities)

  • Assist in building and maintaining ETL pipelines using Python and PySpark.
  • Support the development of workflows utilizing AWS Glue, Lambda, and Step Functions.
  • Work extensively with cloud data storage platforms, including S3, Redshift, RDS, and Oracle.
  • Write complex SQL queries for data extraction, transformation, validation, and reporting.
  • Help implement basic monitoring, logging, and error handling for data pipelines.
  • Support the ingestion and processing of data from APIs and JSON payloads.
  • Collaborate with software engineers, data analysts, and business stakeholders to understand requirements.
  • Contribute to code management, technical documentation, and deployment support activities.

Your Profile (Requirements)

  • Degree holders for the visa application process.
  • 0 to 4 years of software development or data engineering experience across relevant cloud platforms.
  • Good knowledge of Python and SQL.
  • Solid understanding of AWS services, specifically S3, SNS/SQS, EMR, Glue, Lambda, Redshift, and Step Functions.
  • Strong grasp of ETL concepts and data processing fundamentals.
  • Familiarity with GitLab, Terraform, and the Software Development Life Cycle (SDLC) from development to production.
  • Familiarity with PySpark, AWS managed services, data engineering best practices, and code optimization.
  • High-Performance Mindset: Resilience, emotional intelligence, and a focus on agile delivery.
  • Technologist DNA: A deep understanding of the difference between "coding" and "engineering."

Desired

  • Exposure to PySpark, Athena, CloudWatch, SNS, and SQS.
  • Internship, project, or academic experience specifically in cloud computing, analytics, or data engineering.
  • Familiarity with cloud-native foundations or AI coding assistants (e.g., GitHub Copilot).

Languages

  • Advanced Oral English: For seamless collaboration with global teams.
  • Advanced Spanish.

Special Notes

  • Our Client is seeking candidates focused on foundational skill-building in a dynamic cloud environment.

Work Arrangement

We value flexibility to support your lifestyle. This position is available as:

  • Remote


If you meet these qualifications and are pursuing new challenges, start your application on our website to join an award-winning employer. Explore all our job openings | Sequoia Career’s Page: https://www.sequoia-connect.com/careers/


Keywords:
Phyton, SQL, PySpark, AWS Glue, ETL
Requirements:
  • 0-4 years of software development experience across the appropriate platform.
  • Good knowledge on Python and SQL.
  • Good understanding to AWS services such as S3, SNS/SQS, EMR, Glue, Lambda, Redshift, and Step Functions.
  • Good understanding of ETL concepts and data processing fundamentals.
  • Familiarity with GitLab/Terraform and SDLC from development to production.
  • Familiarity to PySpark, AWS managed services, data engineering best practices, and code optimization.
  • Good analytical, problem-solving, and communication skills.