Senior Data Engineer

Position: senior data engineer


Location: Columbus, Ohio- need local

Onsite: 4 days a week


Contract: 6 months extendable (could go perm)


Interview process: 1 video interview then onsite panel interview




Duties and Responsibilities:

Architecting, creating and maintaining data pipelines.
Assist with renovating the data management infrastructure to drive automation in data integration and management.
Work in partnership with data science teams and with business analysts in refining their data requirements for various data and analytics initiatives and their data consumption requirements.
Train counterparts across the organization in data pipelining and preparation techniques, which make it easier for them to integrate and consume the data they need for their own use cases.
Work with data governance teams and participate in vetting and promoting content created in the business and by data scientists to the curated data catalog for governed reuse.
Demonstrated ability to communicate complex results to technical and non-technical audiences.
Demonstrated ability to work effectively in teams as well as independently across multiple tasks while meeting aggressive timelines.
Strategic, intellectually curious thinker with focus on outcomes.
Professional image with the ability to form relationships across functions.
Provides leadership, coaching, and mentoring to team members, and develops team to work with all areas of the organization.
Works with stakeholders to ensure that business needs are clearly understood and that services meet those needs.
Anticipates and analyzes trends in technology while assessing the emerging technology's impact(s).
Coaches' individuals through change and serves as a role model.
Performs other duties as assigned.


Basic Qualifications:

Bachelor's Degree in computer science, statistics or related field
related experience in data management disciplines including data integration, modeling, optimization and data quality, and/or other areas directly relevant to data engineering responsibilities and tasks
experience with database programming languages and advanced analytics


Preferred Qualifications:

Master's degree in computer science, statistics or related field
Hands on data testing experience
Demonstrated success working with data preparation tools
Extensive experience with data engineering tooling (e.g., Glue, Landa, Athena, AWS)
Expert knowledge of BI software tools
Expert experience with open-source and commercial data science platforms
Learn and/or Agile methodology
Strong experience with various Data Management architectures and processes
Strong ability to design, build and manage data pipelines for data
Strong experience in working with large, heterogeneous datasets in building and optimizing data pipelines, pipeline architectures and integrated datasets
Demonstrated success in working with large, heterogeneous datasets to extract business value
Strong experience in working with DevOps capabilities like version control, automated builds, testing and release management capabilities
Demonstrated ability to communicate complex results to technical and non-technical audiences
Demonstrated ability to work effectively in teams as well as independently across multiple tasks while meeting aggressive timelines
Strategic, intellectually curious thinker with focus on outcomes
Professional image with the ability to form relationships across functions
Ability to train more junior analysts regarding day-to-day activities, as necessary
Proven ability to lead cross-functional teams
Willingness and ability to learn new technologies on the job
Financial Services Background