At ClearObject we transform data into valuable outcomes, and we are looking for a Data Engineer to join our development team. You will work with our Digital Products team to employ various methods to transform data into useful data systems. For example, you’ll create algorithms for processing real-time IoT data and conduct statistical analysis. As a member of the Digital Products team, you’ll strive for efficiency by aligning data systems with product outcomes.
To succeed in this data engineering role, you should have strong analytical skills and the ability to combine data from various sources. Data engineer skills also include familiarity with several programming languages and knowledge of machine learning methodologies.
If you are detail-oriented with excellent communication, organizational skills, and experience in this field, we’d like to hear from you!
To perform this job successfully, an individual must be able to perform the following satisfactorily; other roles or responsibilities may be assigned.
Analyze and Organize raw data
Developing and maintaining datasets
Building and maintaining ETL Pipelines (Bash, Airflow)
Parallelizing Operations (Spark / Dask Jobs)
Improving data quality, efficiency, and reliability
Build data systems and pipelines
Interpret trends and patterns
Conduct complex data analysis and report on results
Perform exploratory data analysis and report on results
Prepare data for modeling
Build algorithm and prototypes
Combine data from multiple sources
Collaborate with data scientists, full-stack and back end developers, and the other product team members on several projects
Desired Skills & Experience
The requirements listed below are representative of the knowledge, skill, and/or ability required.
Familiarity with Kubernetes and Docker
Familiarity with Infrastructure as Code (e.g., Terraform)
Familiarity with managing CI/CD pipelines (e.g., Jenkins, CircleCI, Spinnaker, Gitlab)
Familiarity with either the Spark or Dask ecosystem
Experience with Pandas
Technical expertise with data models, data mining, and segmentation techniques
Knowledge of programming languages (e.g., Python)
Proficient with SQL & noSQL database design
BA/BS degree in Computer Science, IT, ML, Statistics or related technical field or equivalent practical experience; a master’s degree is a plus
Desire and ability to learn new skills while improving upon current skills
Nice to haves:
Experience with DevOps
Experience with data visualization tools such as Google Data Studio, Tableau, PowerBI, or similar
Data engineering certification (e.g., Google Cloud Platform Certified Professional Data Engineer)
To qualify, applicants must be legally authorized to work in the United States, and should not require, now or in the future, sponsorship for employment visa status.
ClearObject is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status or any other characteristic protected by law.
The level of this position will be determined based on the applicant's education, skills, and experience.
ClearObject employees performing certain job functions may require access to technology or software subject to export or import regulations. To comply with these regulations, ClearObject may obtain nationality or citizenship information from applicants for employment. ClearObject collects this information solely for trade law compliance purposes and does not use it to discriminate unfairly in the hiring process.Posted On
February 12, 2021