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Remote Databricks Data Engineer Jobs in Ohio (NOW HIRING)

Strong programming skills in languages such as SQL, Python, or R. * Experience with data modeling and data warehousing concepts. * Familiarity with cloud-based data platforms such as Databricks ...

Monday - Friday 8am - 5pm (Onsite 4 days a week) (Possible remote for the right candidate) Position ... Oversee the full model lifecycle: data exploration, feature engineering, model development ...

Monday - Friday 8am - 5pm (Onsite 4 days a week) (Possible remote for the right candidate) Position ... Oversee the full model lifecycle: data exploration, feature engineering, model development ...

Monday - Friday 8am - 5pm (Onsite 4 days a week) (Possible remote for the right candidate) โ€ฏ ... Oversee the full model lifecycle: data exploration, feature engineering, model development ...

Sr Analyst, Data Solution Analyst

Columbus, OH ยท On-site +1

$83K - $104K/yr

Remote internal associates may also be considered. This role requires expertise in Databricks ... Applies secure software and systems engineering practices throughout the delivery lifecycle to ...

Dayton, OH and Remote Employment Type: Full-Time Clearance requirements: TS/SCI About the Role ... Collaborate with data engineers and software teams to integrate models into production systems

Dayton, OH and Remote Employment Type: Full-Time Clearance requirements: TS/SCI About the Role ... Collaborate with data engineers and software teams to integrate models into production systems

Data Scientist - Predictive Analytics

Columbus, OH ยท On-site +1

$108K - $181K/yr

Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering , or ... Standard office/remote work environment CoverMyMeds and McKesson value diverse perspectives and are ...

Solutions are built in a highly collaborative environment, partnering with engineering, product ... Hands-on experience with modern data platforms (Snowflake, Databricks, etc.), modern AI / ML ...

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Remote Databricks Data Engineer information

What are the key skills and qualifications needed to thrive as a Remote Databricks Data Engineer, and why are they important?

To thrive as a Remote Databricks Data Engineer, you need a solid background in data engineering, strong programming skills in Python or Scala, and experience with big data frameworks, often supported by a degree in computer science or a related field. Proficiency with Databricks, Apache Spark, cloud platforms (such as AWS or Azure), and relevant certifications like Databricks Certified Data Engineer are highly valuable. Strong problem-solving abilities, effective remote communication, and collaboration skills set top performers apart in distributed teams. These skills and qualities ensure efficient data pipeline development, seamless integration, and successful project delivery in remote environments.

What is a Remote Databricks Data Engineer?

A Remote Databricks Data Engineer is a professional who designs, develops, and manages large-scale data processing systems using the Databricks platform, often working from a remote location. They focus on building data pipelines, integrating data sources, and optimizing workflows for analytics and machine learning, leveraging tools like Apache Spark within Databricks. These engineers collaborate with data scientists, analysts, and other stakeholders to ensure data is accessible, reliable, and scalable for business needs. Remote roles offer flexibility in work location while still requiring strong communication and technical skills.

What are some common challenges faced by remote Databricks Data Engineers and how can they be addressed?

Remote Databricks Data Engineers often encounter challenges such as coordinating efficiently with distributed teams, managing access to secure data environments, and ensuring smooth pipeline deployments across different cloud platforms. To overcome these, it's important to leverage communication tools for regular check-ins, follow strict data governance protocols, and utilize collaborative features in Databricks such as shared notebooks and version control. Proactively documenting your work and staying updated with platform updates can also help streamline remote collaboration and problem-solving.
What are the most commonly searched types of Databricks Data Engineer jobs in Ohio? The most popular types of Databricks Data Engineer jobs in Ohio are:
What job categories do people searching Remote Databricks Data Engineer jobs in Ohio look for? The top searched job categories for Remote Databricks Data Engineer jobs in Ohio are:
What cities in Ohio are hiring for Remote Databricks Data Engineer jobs? Cities in Ohio with the most Remote Databricks Data Engineer job openings:

Principal Technical Data Analyst

Munich Re

Amelia, OH โ€ข Remote

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 27 days ago


Job description

American Modern Insurance Group, Inc., a Munich Re company, is a widely recognized specialty insurance leader that delivers products and services for residential property - such as manufactured homes and specialty dwellings - and the recreational market, including boats, personal watercraft, classic cars, and more. We provide specialty product solutions that cover what the competition often can't. We write admitted products in all 50 states and have a premium volume of $2.2 billion.

Headquartered in Amelia, Ohio, and with associates located across the United States, we are part ofย Munich Re's Global Specialty Insuranceย division. Our employees receive boundless opportunity to grow their careers and make a difference every day - all in a flexible environment that helps them succeed both at work and at home.

Purpose:

The Technical Data Analyst is responsible for analyzing and interpreting complex data to inform business decisions, as well as documenting business requirements to ensure effective communication between stakeholders. This role will work closely with various teams to identify, analyze, and resolve data-related issues, and may assist the business with the creation of certain data assets through discovery sessions or build data assets to support data discovery and business decision-making. Additionally, they will be responsible to gather, analyze, evaluate, and document the business, functional, technical, security, performance, training, and data mapping requirements as needed.

Roles & Responsibilities:

  • Analyze and interpret large datasets to identify trends, patterns, and insights that inform business decisions.
  • Collaborate with stakeholders to understand business needs and identify opportunities for data-driven solutions.
  • Create and/or provide governance of the Software Development Life Cycle (SDLC) documentation needed by various teams (business users, testers, trainers, and applications development teams) to successfully develop and maintain infrastructure and business systems applications.
  • Assist in the creation of data assets through discovery sessions, working with business stakeholders to define requirements and identify key performance indicators.
  • Build data assets, such as data visualizations and reports, to support data discovery and business decision-making.
  • Develop and maintain documentation of business requirements, data assets, and data processes.
  • Work with data engineering and development teams to ensure that data assets are properly implemented and maintained.
  • Provide guidance and support to stakeholders on data analysis and interpretation, and help to identify and prioritize business needs.
  • Stay up-to-date with industry trends and emerging technologies in data analysis and business intelligence.
  • Identify and communicate data quality issues and opportunities for process improvements.
  • Facilitate collaboration and communication between stakeholders, data engineers, and developers to ensure that data needs are met.

Required Technical Skills:

  • Proficiency in data analysis and visualization tools such as Power BI, and Power Platform.
  • Strong programming skills in languages such as SQL, Python, or R.
  • Experience with data modeling and data warehousing concepts.
  • Familiarity with cloud-based data platforms such as Databricks, Amazon We Services (AWS), or Microsoft Azure.
  • Strong understanding of data quality and data governance principles.
  • Experience with agile development methodologies and version control systems such as Git.
  • Strong technical writing and documentation skills, with the ability to communicate complex technical concepts to non-technical stakeholders.

Education, Certifications & Designations:ย 

Required:ย 

  • Graduate degree in Business Analytics, Data Science, Information Systems, Mathematics, Statistics, Computer Science or related fieldย  - or -ย A combination of education and experience that demonstrates equivalent skills and knowledge.

We are proud to offer our employees, their domestic partners, and their children, a wide range of insurance benefits:

    • Two options for your health insurance plan (PPO or High Deductible)
    • Supplemental Life and AD&D plans that you can purchase for yourself and dependents (includes spouse/domestic partner and children)
    • Voluntary Benefit plans that supplement your health and life insurance plans (Accident, Critical Illness and Hospital Indemnity)
    • Prescription drug coverage (included in your health insurance plan)
    • Short and Long Term Disability coverage
    • Vision and dental insurance plans

In addition to the above insurance offerings, our employees also enjoy:

  • A robust 401k plan with up to a 5% employer match
  • A retirement savings plan that is 100% company funded
  • Paid time off that begins with 24 days each year, with more days added when you celebrate milestone service anniversaries
  • Eligibility to receive a yearly bonus as a Munich Re employee
  • A variety of health and wellness programs provided at no cost
  • A hybrid environment that gives you a choice in where and how you get work done
  • A corporately subsidized on-site cafeteria as well as a We Proudly Serve coffee shop
  • An on-site complimentary workout facility as well as walking trails on campus grounds
  • On-site wellness center complete with nurse practitioner
  • Financial assistance for adoptions and infertility treatment
  • Paid time off for eligible family care needs
  • Tuition assistance and educational achievement bonuses
  • Free parking
  • A corporate matching gifts program that further enhances your charitable donation
  • Paid time off to volunteer in your community

At American Modern, a subsidiary of Munich Re, we see Diversity and Inclusion as a solution to the challenges and opportunities all around us. Our goal is to foster an inclusive culture and build a workforce that reflects the customers we serve and the communities in which we live and work. We strive to provide a workplace where all of our colleagues feel respected, valued and empowered to achieve their very best every day. We recruit and develop talent with a focus on providing our customers the most innovative products and services. ย 

We are an equal opportunity employer. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

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