Data Engineer Jobs – Digitek Software

Ohio-Based Role Seeks Senior Data Engineer for Public Health Data Initiatives

A critical opening has emerged for a Data Engineer specializing in public health data management, with a focus on leveraging advanced technologies within the State of Ohio. The position, sourced through Digitek Software, Inc., requires a seasoned professional capable of navigating complex data ecosystems and contributing to vital public health initiatives.

Employers are increasingly utilizing artificial intelligence (AI) tools to refine job descriptions, and this role’s description has undergone review for accuracy, according to a statement from Dice.

Demand for Expertise in Public Health Data

The demand for skilled data professionals within the public health sector is growing, driven by the need to analyze and interpret vast datasets to improve population health outcomes. This particular role emphasizes experience with data originating from key sources like the US Census and the Center for Disease Control and Prevention (CDC), requiring proficiency in utilizing APIs for data collection.

“The ability to efficiently gather and manage data from these sources is paramount,” a senior official stated.

Innovation Ohio Platform and Cloudera Environment

A core component of the position involves working with data from State of Ohio agencies through the Innovation Ohio Platform (IOP). Candidates must demonstrate experience utilizing git-based projects within the IOP Cloudera Machine Learning Environment (CML) to effectively manage and process public health data.

This suggests a sophisticated data infrastructure is already in place, and the successful candidate will be expected to integrate seamlessly into an existing workflow. The role also requires building data collection, ingestion, and curation processes utilizing CML-based services and libraries.

Technical Skills: Python, Jupyter Notebooks, and Apache Hive

The position demands a strong technical skillset, specifically highlighting proficiency in:

• Python: Developing data automation jobs using Python-based Jupyter Notebooks is a key responsibility.
• Data Automation: Automating data collection from remote sources and transforming it into usable formats.
• Apache Hive: Curating data into Apache HIVE tables for analysis and reporting.

This combination of skills points to a need for a data engineer capable of building end-to-end data pipelines, from initial data acquisition to final data storage and accessibility. “

Application Details and Considerations

Digitek Software, Inc., located at 650 Radio Drive, LewisCenter, OH 43035, is handling the recruitment process. Interested candidates should be aware that the successful applicant may be subject to both a drug test and a background check.

The position represents a significant opportunity for a data engineer to contribute to impactful public health initiatives within the state of Ohio, leveraging cutting-edge technologies and a robust data infrastructure.

Deep Dive: Data Engineering in Ohio’s Public Health Landscape

Building on the initial description, this role within Ohio’s public health data initiatives offers a crucial prospect to impact population health using advanced data engineering practices. The position, as mentioned earlier sourced from Digitek Software, Inc., underscores the growing need for skilled professionals who can navigate the complexities of public health data to improve community well-being.

The state of ohio,along with other states across the US,is investing heavily in modernizing its public health infrastructure. [[1]] and [[2]] both show listings for data engineer positions in Ohio and Columbus, highlighting the current demand.

The specific focus on data from the U.S. Census Bureau and the CDC highlights a commitment to data-driven decision-making. This emphasis on external data sources means a solid understanding of APIs and remote data collection methods is an absolute must.

Essentially,a data engineer in this role must be adept at more than just technical skills; they must also grasp the practical implications of the data being managed. This means interpreting information correctly is vital and understanding the role of data in shaping public health policy.

The Innovation Ohio Platform and Cloudera Habitat

The requirement for working with the Innovation Ohio Platform (IOP) and the Cloudera Machine Learning Environment (CML) suggests a modern data infrastructure. the successful candidate must seamlessly integrate with this infrastructure, demonstrating proficiency in:

• Version Control: Utilizing Git for project management within the CML environment.
• data Pipelines: Building the entire data pipeline, from ingestion to curation.
• CML Services: Using the CI/CD Pipeline for automated build and deployment.

The ability to manage and process public health data within this environment is paramount. Experience with the IOP represents an opportunity to work with datasets that are essential to various State of Ohio agencies. Moreover, the candidate will need to understand how all these technologies come together to support public health initiatives.

Core Technical Skills Breakdown and best practices

The advertised role emphasizes several key technical areas:. The position requires not only the ability to write code but also a critical understanding of data integration.

• Python: Python advancement using Jupyter Notebooks is at the core. This involves developing data automation scripts. Best practices would include:
  • Modular code design for readability and maintainability.
  • Thorough commenting and documentation.
  • Use of version control (Git) for code changes.
• Data Automation: Gathering data, transforming it, and making it usable is another essential component. Best practices include:
  • Use of automated testing to validate data integrity.
  • Error handling and logging.
• apache Hive: The data engineer will curate data in this request, which is utilized for data analysis and reporting. Best practices include:
  • Schema design for optimized data analysis.
  • Performance tuning for faster query execution

when seeking a data engineer, employers search for candidates who can leverage multiple datasets to create insights. These insights are then used to boost decision-making in public health practices.

What’s Next? The future of Public Health Data Engineering

The future of data engineering in the Ohio public health sector will likely see increased use of advanced analytics and machine learning. This shift will require data engineers to acquire skills in these areas and manage the infrastructure needed to support them.As the volume and velocity of data from sources like the CDC and the US Census increase, better and more efficient data management becomes paramount to success. Moreover, this position creates greater job opportunities. According to Indeed, there are 53 data engineer positions currently available in Columbus, OH [[3]].

If you are considering applying, remember that along with core technical skills, you should also understand the impact your work has on public health. Think about how the data is used to make a difference, and have strong problem-solving skills. If you can show that you thoroughly understand the nuances of the role, you could be the ideal candidate for this important position within Ohio’s public health arena.