Our dynamic Data Solutions team is seeking a Senior Data Solutions Developer who will help lead the evolution of our data-driven decision-making at scale across the company. This role will be responsible for building, maintaining, and supporting data warehousing solutions with an emphasis on creating automated and/or algorithmic approaches that reduce or replace manual effort. You will be instrumental in ensuring access to clean, consistent, and logical data to stakeholders in a wide variety of roles.

**To be considered an applicant you must reside in the United States**

What You’ll Do

• Build and maintain scalable scheduled jobs to extract, load, and transform data, in addition to troubleshooting and fixing problems with existing data warehouse ELT jobs.
• Collaborate closely with internal business stakeholders to gather requirements, coordinate deployments, and meet deadlines
• Develop an understanding of business systems and processes in one or more areas of the business such as Sales, Marketing, Customer Success, and finance.
• Build and maintain Entity Relationship Diagrams (ERD)
• Transform raw data into highly structured and consistent data sets used by analyst’s tools to power business insights
• Develop scalable, efficient, and automated processes and data pipelines, in addition to diagnosing and debugging problems with existing structures
• Make recommendations to improve technical systems and infrastructure

Who You Are

• 3-5 years experience in data warehousing, data modeling, and/or analytics preferred
• Advanced SQL skills in both DML and DDL are required
• Experience with database platforms like Snowflake, Redshift, BigQuery or similar
• Intermediate Python skills plus scripting in 1 or 2 other languages (BASH/Python/JavaScript/etc)
• Experience developing and maintaining ETL\ELT processes and common data transformation techniques (e.g. normalization and denormalization, string parsing, primary key generation)
• Experience with Airflow is a plus
• Familiarity with dimensional data modeling techniques (snowflake and star schemas, fact tables, slowly changing dimensions, periodic snapshot tables, surrogate keys, etc.)
• Exposure to Amazon Web Services or Linux command
• Possess at least a Bachelor’s degree in a quantitative field (economics, statistics, business, computer science) or equivalent experience, advanced degree a plus
• You are motivated by adding business value and driving revenue for the company
• Quantitative mindset and passion for data
• You are a curious problem solver with a growth mindset
• You enjoy interacting and collaborating with technical developers and analysts as well as non-technical business staff throughout the organization
• Able to deal with ambiguity and problem-solve independently
• Self-starter: able to succeed and have an impact with minimal direction
• Ambitious, self-motivated, and goal-oriented
• Excellent time management skills
• Strong communication skills, both verbal and written

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