Senior Data Engineer

The Rock Family of Companies is made up of nearly 100 separate businesses spanning fintech, sports, entertainment, real estate, startups and more. We’re united by our culture – a drive to find a better way that fuels our commitment to our clients, our community and our team members. We believe in and build inclusive workplaces, where every voice is heard and diverse perspectives are welcomed. Working for a company in the Family is about more than just a job – it’s about having the opportunity to become the best version of yourself.

Minimum Qualifications

• 7 years of experience or equivalent competency building data solutions, including relational and non-relational databases, and supporting implementation and maintenance of batch and real-time data pipelines using cloud services

• 5 years of experience or equivalent competency analyzing data to identify deliverables, gaps and inconsistencies

• Experience innovating solutions to complex problems

• Expertise writing simple and complex queries (SQL/NoSQL)

• Expertise debugging and troubleshooting applications

• Proficiency in a functional or object-oriented programming language

• Knowledge of Linux system administration, shell scripting and basic networking skills

• Experience accessing and developing REST APIs

Preferred Qualifications

• Degree or equivalent competency in computer science, information technology, or a related field

• 5 years of experience with big data and distributed data tools, such as Python and Lambda

• 5 years of experience with continuous integration and continuous delivery (CI/CD) and automated deployments

• Experience mentoring and developing others

Job Summary

The Senior Data Engineer engages in the design, development and maintenance of data platforms and solutions, including applying data management principles to pipelines and delivering analytical and operational solutions to provide visibility and enable decision-making. They develop data integration solutions and work with cross-functional teams to build products and services to meet business needs. As a senior member of the team, they also mentor and support the development of their teammates.

Responsibilities

• Guide the identification, investigation and resolution of data quality issues and ensure data is secure and reliable

• Develop Extract, Load, Transform (ELT) processes from various data repositories and APIs across the enterprise, ensuring data quality and process efficiency

• Develop data processing scripts

• Work in a hybrid data environment with on-premises and cloud data warehouses

• Develop relational and non-relational data models to shape data to meet user needs

• Monitor performance and scalability issues in a large-scale data lake environment

• Mentor team members on any of the above

• Assist leadership with improving flow by identifying and helping address technical debt and process issues for the team

Disclaimer

This is an outline of the primary responsibilities of this position. As with everything in life, things change. The tasks and responsibilities can be changed, added to, removed, amended, deleted and modified at any time by the leadership group.

The Company is an Equal Employment Opportunity employer, and does not discriminate in any hiring or employment practices. The Company provides reasonable accommodations to qualified individuals with disabilities in accordance with state and federal law. Applicants requiring reasonable accommodation in completing the application and/or participating in the employment application process should notify a representative of the Human Resources Team, The Pulse, at Careers@myrocketcareer.com.