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Flex Schedule Remote Data Engineer Jobs in Kentucky

Senior Dam Safety Engineer

Lexington, KY · On-site +1

$135K - $215K/yr

... monitoring data, assigning project-specific soil and rock laboratory testing, conducting ... Must be able to occasionally travel to project sites, both local and remote, and be able to lift ...

Manage filing schedules for aligned products. * Prepare and complete predictive analytics analysis ... Experience in multiple programming languages, including R and Python. * Deep understanding of GLMs ...

Become a part of our caring community (Remote in posted locations) We are seeking a hands-on ... Scheduled Weekly Hours 40 Pay Range The compensation range below reflects a good faith estimate of ...

Become a part of our caring community (Remote in posted locations) We are seeking a hands-on ... Scheduled Weekly Hours 40 Pay Range The compensation range below reflects a good faith estimate of ...

Become a part of our caring community (Remote in posted locations) We are seeking a hands-on ... Scheduled Weekly Hours 40 Pay Range The compensation range below reflects a good faith estimate of ...

Limited Geography Remote - This is a remote position but located within a specific geography. Wor ... Scheduled Weekly Hours 40 Pay Range The compensation range below reflects a good faith estimate of ...

Limited Geography Remote - This is a remote position but located within a specific geography. Wor ... Scheduled Weekly Hours 40 Pay Range The compensation range below reflects a good faith estimate of ...

Limited Geography Remote - This is a remote position but located within a specific geography. Wor ... Scheduled Weekly Hours 40 Pay Range The compensation range below reflects a good faith estimate of ...

... or data requires an in-depth evaluation of variable factors. This position is remote but requires ... Scheduled Weekly Hours 40 Pay Range The compensation range below reflects a good faith estimate of ...

... or data requires an in-depth evaluation of variable factors. This position is remote but requires ... Scheduled Weekly Hours 40 Pay Range The compensation range below reflects a good faith estimate of ...

Remote Job Type: Full-time We seek a skilled and experienced Customer Communications Management ... Data Transformation: Perform data transformation tasks, including but not limited to, data mapping ...

This role works closely with internal engineering teams, remote IT resources, external consultants ... Identify and manage technical risks, dependencies, and project schedules. * Ensure software ...

Showing results 21-40

Flex Schedule Remote Data Engineer information

What is a flex schedule remote data engineer?

A Flex Schedule Remote Data Engineer is a professional who designs, builds, and maintains data infrastructure and systems while working remotely with flexible working hours. Unlike traditional roles that require set office hours, this position allows employees to choose when they work, as long as they meet deadlines and project requirements. The role typically involves tasks such as data pipeline development, database management, and collaboration with other teams, all performed from a remote location.

How does a flex schedule impact collaboration and communication for remote data engineers?

Working as a remote Data Engineer with a flexible schedule allows you to tailor your working hours, but it also means that proactive communication is essential. You'll often collaborate with team members in different time zones, so clear documentation and regular updates via project management tools become crucial. Many teams address these challenges by scheduling core overlapping hours for meetings and using asynchronous communication channels like Slack or email. This setup supports both individual productivity and effective teamwork, but requires strong self-management and responsiveness to ensure projects remain on track.

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

To thrive as a Flex Schedule Remote Data Engineer, you need a strong background in computer science, experience with data modeling, ETL processes, and proficiency in programming languages like Python or SQL. Familiarity with cloud platforms (e.g., AWS, Azure, GCP), big data tools (such as Spark or Hadoop), and certifications in cloud or data engineering are highly valued. Excellent time management, self-motivation, and communication skills are crucial for effective remote collaboration and meeting project deadlines. These competencies ensure you can independently build robust data pipelines and collaborate seamlessly across distributed teams.

What are popular job titles related to Flex Schedule Remote Data Engineer jobs in Kentucky?

For Flex Schedule Remote Data Engineer jobs in Kentucky, the most frequently searched job titles are:

What job categories do people searching Flex Schedule Remote Data Engineer jobs in Kentucky look for?

The top searched job categories for Flex Schedule Remote Data Engineer jobs in Kentucky are:

What cities in Kentucky are hiring for Flex Schedule Remote Data Engineer jobs?

Cities in Kentucky with the most Flex Schedule Remote Data Engineer job openings:

Digital Chemistry Specialist - Remote

micro1 AI

Louisville, KY • Remote

$90 - $120/hr

Part-time

This job post has expired today. Applications are no longer accepted.


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.