Senior Data Engineer

Summary

Join Thrive Market's Data Engineering team as a Senior Data Engineer and contribute to building high-impact products for a rapidly growing e-commerce company. You will work on a variety of projects, collaborating with cross-functional teams to deliver data engineering solutions. Responsibilities include data ingestion, processing, and delivery, as well as troubleshooting and resolving production issues. The ideal candidate possesses strong programming skills (Python, Scala, or Java), expertise in data warehousing, and experience with big data technologies. Thrive Market offers a competitive salary and benefits package, including comprehensive health benefits, a 401k plan, flexible PTO, and more.

Requirements

• Hands on experience programming in Python, Scala or Java
• Expertise with RDBMS and Data Warehousing (Strong SQL) with Redshift,Snowflake or similar
• In-depth knowledge and experience with data and information architecture patterns and implementation approaches for Operational Data Stores, Data Warehouses, Data Marts and Data Lakes
• Proficiency in logical/physical data architecture, design and development
• Experience in Data lake / Big data analytics platform implementation either cloud based or on-premise; AWS preferred
• Experience working with high volumes of data; experience in design, implementation and support of highly distributed data applications
• Experience with Development Tools for CI/CD, Unit and Integration testing, Automation and Orchestration E.g. GitHub, Jenkins, Concourse, Airflow, Terraform
• Experience with writing Kafka producers and consumers or experience with AWS Kinesis
• Hands-on experience developing a distributed data processing platform with Big Data technologies like Hadoop, Spark etc
• A knack for independence (hands-on) as well as team work
• Excellent analytical and problem-solving skills, often in light of ill-defined issues or conflicting information
• Adept in the ability to elicit, gather, and manage requirements in an Agile delivery environment
• Excellent communication and presentation skills (verbal, written, presentation) across all levels of the organization. Ability to translate ambiguous concepts into tangible ideas

Responsibilities

• Work across multiple projects and efforts to orchestrate and deliver cohesive data engineering solutions in partnership with various functional teams at Thrive Market
• Be hands-on and take ownership of the complete cycle of data services, from data ingestion, data processing, and ETL to data delivery for reporting
• Collaborate with other technical teams to deliver data solutions that meet business and technical requirements; define technical requirements and implementation details for the underlying data lake, data warehouse, and data marts
• Identify, troubleshoot, and resolve production data integrity and performance issues
• Collaborate with all areas of data management as lead to ensure patterns, decisions, and tooling are implemented by enterprise standards
• Perform data source gap analysis and create data source/target catalogs and mappings
• Develop a thorough knowledge and understanding of cross system integration, interactions, and relationships to develop an enterprise view of Thrive Market’s future data needs
• Design, coordinate, and execute pilots/prototypes/POC to provide validation on specific scenarios and provide an implementation roadmap
• Recommend/Ensure technical functionality (e.g. scalability, security, performance, data recovery, reliability, etc.) for Data Engineering
• Facilitate workshops to define requirements and develop data solution designs
• Apply enterprise and solution architecture decisions to data architecture frameworks and data models
• Maintain a repository of all data architecture artifacts and procedures
• Collaborate with IT teams, software providers, and business owners to predict and devise data architecture that addresses business needs for collection, aggregation, and interaction with multiple data streams

Preferred Qualifications

Experience with streaming data ingestion, machine-learning, Apache Spark a plus

Benefits

• Comprehensive health benefits (medical, dental, vision, life and disability)
• Competitive salary (DOE) + equity
• 401k plan
• 9 Days of Observed Holidays
• Flexible Paid Time Off
• Subsidized ClassPass Membership with access to fitness classes and wellness and beauty experiences
• Ability to work in our beautiful co-working space at WeWork in Playa Vista and other locations
• Free Thrive Market membership with exclusive employee discount
• Coverage for Life Coaching & Therapy Sessions on our holistic mental health and well-being platform