Position Overview

ATLAS SP is seeking a data developer to help build out a data ecosystem that enables us to scale our business. The individual will design and build a foundation to strengthen and scale the existing data model. The individual will be responsible for collaborating with cross-functional teams to analyze and integrate diverse data sources, ensuring data quality and consistency. The individual will leverage your expertise in database management, data processing, and analytics to develop and optimize data pipelines, support advanced data modeling, and provide actionable insights through sophisticated reporting tools.

Primary Responsibilities

• Analyze complex ecosystem of legacy systems
• Architect and scale a modern data platform that consumes data from multiple internal sources and vendors
• Enhance the data model taking into account industry best practices
• Build and maintain scalable ETL pipelines to efficiently process large volumes of data
• Work with engineering teams to ensure robust instrumentation across multiple systems
• Partner with business stakeholders to understand and deliver business requirements
• Implement monitoring systems to ensure data quality
• Create data tools for analytics and data scientist team members that assist them in building and optimizing the product.

Qualification and Experience

• Bachelor’s degree in computer science or related field or equivalent work experience
• 7 years of proven experience as a software developer, including crafting and implementing sophisticated systems from scratch
• 3 years of proven experience working with cloud technology (preferably Azure), data models, API design, API development
• 3 years of data warehousing experience (Redshift or Snowflake)
• 5 years of hands-on experience with SQL database design
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Technical expertise with data models, data mining, and segmentation techniques
• 5 years of extensive development experience with technologies like: Python, JSON, Java, .NET
• 3 years of experience using common BI tools including Tableau, Alteryx, Microsoft Power BI etc.
• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
• Agile development experience
• Experience supporting and working with cross-functional teams in a dynamic environment.
• Strong analytic skills related to working with unstructured datasets.

Base Salary Range

$150,000 to $200,000