Remote Senior Data Engineer

Summary

Join our team as a Senior Data Engineer to shape data-driven strategies that enhance member experiences. You will collaborate with various teams, design scalable data warehousing solutions, and lead data discovery sessions.

Requirements

• 3+ years of data architecture related experience such as data analysis, data modeling, and data integration
• 5+ years of Experience in custom ETL design, implementation, and maintenance
• Advanced Knowledge of programming languages (e.g. Python and Object Oriented Programming)
• Hands-on experience with SQL database design
• Experience working on Cloud Platforms (AWS or Google )
• Experience working on CI/CD processes and source control tools such as GitHub and GitLab
• Experience working with relational databases (Snowflake, Redshift)
• Strong knowledge of orchestration tools (AirFlow Preferred), file storage systems(AWS S3, Google Cloud Storage), partitioning, and real-time processing of data
• Strong knowledge and experience with Agile/Scrum methodology and iterative practices in a service delivery lifecycle
• Excellent communication and interpersonal skills with a demonstrated ability to influence a large organization
• Bachelor’s or Master’s Degree in Computer Science, Information Systems, or related field

Responsibilities

• Responsible for developing and supporting data pipelines that support and enable the overall strategy of expanded data programs, services, process optimization, and advanced business intelligence
• Design and develop scalable data warehousing solutions , building ETL pipelines in Big Data environments (cloud, on-prem, hybrid)
• Lead data discovery sessions with business teams, comprising product owners, data analysts, and cross-team technologists to understand enterprise data requirements of analytics projects
• Ensure proper testing and monitoring are in place to provide trusted and reliable data from the data stack
• Partner with business domain experts, system analysts, data/application architects, and development teams to ensure data design is aligned with business strategy and direction
• Identify and document standard methodologies, standards, and architecture guidelines
• Dive deep, as required, to assist Business Intelligence Engineers through technical hurdles impacting delivery
• Participating in a shared on-call rotation monitoring the health of the team’s systems

Preferred Qualifications

• Experience working with reporting tools such as Tableau
• Experience with event streaming with modern event streaming toolings like Kafka or Kinesis
• Experience with subscription service products
• Knowledge of accounting, FP&A, and marketing functions

Benefits

• Flexible Work Hours
• Competitive Salaries
• Professional Development Opportunities