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Junior Data Engineer Remote Jobs in Iowa (NOW HIRING)

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GTM Engineer

Estherville, IA · Remote

$100K - $110K/yr

About The Role We're hiring a GTM Engineer to own the architecture, automation, and data integrity ... Generous home office stipend to support your remote workspace. * Annual professional development ...

CSAA

Regulatory Reporting Analyst- Remote

Nevada, IA · Remote

Job Title Regulatory Reporting Analyst- Remote Requisition Number R7892 Regulatory Reporting ... Programming & Regulatory Reporting * Extract, prepare, and validate data required to support ...

Workiva, Inc.

Staff Machine Learning Engineer

Ames, IA · On-site +1

Collaborate with software, data architects, and product managers to design complete software ... Reliable internet access for remote working opportunities How You'll Be Rewarded Salary range in ...

Dwolla

Business Intelligence Developer

Des Moines, IA · On-site +1

$110K - $116K/yr

Dwolla, Inc. is seeking a Business Intelligence Developer to optimize data and design ... Remote work from any location in the US is an option for this position. Minimum requirements are a ...

Dwolla

Business Intelligence Developer

Des Moines, IA · On-site +1

$110K - $116K/yr

Dwolla, Inc. is seeking a Business Intelligence Developer to optimize data and design ... Remote work from any location in the US is an option for this position. Minimum requirements are a ...

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Junior Data Engineer Remote information

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

To thrive as a Junior Data Engineer (Remote), you need a solid grasp of SQL, Python or other programming languages, and a relevant degree in computer science or a related field. Familiarity with data warehousing tools, cloud platforms like AWS or Azure, and ETL frameworks is typically expected. Strong problem-solving skills, attention to detail, and effective remote communication help you excel in collaborative, distributed teams. These competencies are crucial for building reliable data pipelines and ensuring seamless data flow in a remote work environment.

How does a junior data engineer typically collaborate with more experienced team members in a remote setting?

As a Junior Data Engineer working remotely, you'll often collaborate with senior engineers and data scientists through virtual meetings, code reviews, and shared documentation platforms. You'll likely participate in stand-up meetings, pair programming sessions, and receive feedback on your work via online tools like GitHub or Jira. This collaborative environment helps you learn best practices, troubleshoot issues, and contribute to projects, all while building your skills under the guidance of more experienced team members.

What is a junior data engineer?

Junior Data Engineers (Remote) are entry-level professionals who assist in designing, building, and maintaining data pipelines and databases, typically while working from a remote location. They handle tasks like data cleaning, processing, and integration, usually under the supervision of senior data engineers or data architects. Their work supports analytics, reporting, and data science efforts within an organization, and they often use tools such as SQL, Python, and cloud platforms. Remote roles require strong communication and collaboration skills, as well as the ability to work independently.
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Junior Data Engineer Remote jobs near you

Digital Chemistry Specialist - Remote

micro1 AI

Davenport, IA • Remote

$90 - $120/hr

Part-time

Posted 15 days ago

Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.

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