Location: Columbus, OH

Ideal Candidate (Requirements):

  • 5-8 years of experience in datasets management, preferably in the oil and gas industry, health care field, or other sectors that compile databases from diverse data formats.
  • A minimum of a Bachelor’s Degree in STEM field (Science, Technology, Engineering, Math).
  • Proficiency in programming languages such as Python, Java, or C#.
  • Strong understanding of database concepts and approaches such as SQL, PostgreSQL, MySQL, MongoDB, or Cassandra.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud platform and familiarity with services such as Amazon Redshift, AWS Glue, Azure Data Factory, or Google Cloud Dataflow.
  • Excellent analytical and problem-solving ability and high attention to detail.
  • Strong organizational and time management skills to handle multiple projects.
  • Effective communication and teamwork skills with the ability to collaborate across multidisciplinary teams.

Ideal Candidate (Nice to haves):

  • Strong ArcGIS or other GIS software skills, including data analysis, mapping, presentation, and web-based applications (ArcGIS Online, ArcGIS Enterprise).
  • Experience with streaming data processing and real-time analytics platforms such as Apache Flink, Apache Kafka, or Apache Storm.
  • Familiarity with specialty software, including Enverus, Geolog, AIRES, or Quorum.
  • Knowledge of machine learning, AI concepts and frameworks such as TensorFlow, Keras, or PyTorch.
  • Relevant certifications such as AWS Certified Big Data Specialty or Google Professional Data Engineer.

Job Responsibilities:

  • Design, implement, and maintain robust, scalable, and efficient data pipelines to ingest, process, and transform large volumes of data from diverse sources.
  • Implement Extract, Transform, Load (ETL) processes to integrate data from various internal and external sources into centralized data repositories.
  • Develop and implement data quality checks and validation processes to ensure accuracy, completeness, and consistency of data.
  • Monitor data pipeline performance and health, troubleshoot issues, and perform regular maintenance tasks to ensure uninterrupted data flow and availability.
  • Collaborate with cross-functional teams including data scientists, geologists, land personnel, and business stakeholders to understand data requirements and deliver solutions that meet business needs.
  • Stay up to date with the latest trends and technologies in data engineering, evaluate and recommend new tools and techniques to enhance efficiency and effectiveness of data pipelines.

Onboarding Notes:

  • Koloma provides exceptional benefits including healthcare, vision, and dental and a 401k plan
  • This is an in-office role in Columbus, Ohio. Applicants may also be considered in our Denver office. Koloma supports flexible schedules and remote work where practical, but maintaining our strong culture, focus, and momentum requires team members to be in-office for at least 80% of working hours
  • Occasional travel may be required in this role
  • Industry-competitive compensation with significant stock option upside
  • Ideal Start Date: Immediate

This job description is not designed to contain a comprehensive list of duties or activities that are required, and some responsibilities may change.

To Apply:

View the job posting and apply on LinkedIn