Data Engineer, Distill

WHAT YOU'LL BE DOING:

Distill is our centralized data platform, leveraging the combined data from all of our services to build a more complete picture of what investors want. It provides digital distribution insights and infrastructure for asset managers, derived from proprietary, partner, and third-party data. 

We are looking for an ambitious Data Engineer to join the Distill team. The ideal candidate is excited to build and optimize a distributed data platform for machine learning and is an experienced data wrangler who enjoys optimizing data systems and building them from the ground up.  We are looking for someone excited to join a team where they can make an impact and who is results-and execution-oriented. We are a team of do-ers!

THE ROLE:

• Assemble, splice, and merge large, complex data sets that meet functional / non-functional business requirements
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies like Redshift and Glue
• Develop event streaming architecture to load data into a Customer Data Platform
• Design and build ETL pipelines to dynamically ingest data
• Build a Data Vault that combines events with batch data 
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Create datasets for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader
• Work with stakeholders, including the Executive, Product, Data, and Design teams, to assist with data-related technical issues and support their data infrastructure needs
• Keep our data separated and secure across national boundaries through multiple data centers and AWS regions
• Manage technical optimization for maximum speed and scalability
• Help shape company and engineering culture as an early stage hire

WHO YOU ARE:

• Degree in Computer Science, related field, or equivalent experience
• 2+ years of increasing responsibility in technical data roles 
• Real-world experience developing highly scalable solutions designed to democratize data to everyone in an organization
• Strong coding skills in Python
• Experience designing and building ETL pipelines
• Expertise in various big data technologies, both open source and cloud native, AWS preferred (Kinesis, Athena, Spark, Airflow)
• Ability to work comprehensively with various databases (Postgres, SQL, MongoDB, etc.)
• Expertise in data model design with sensitivity to usage patterns and goals – schema, scalability, immutability, idempotency, etc.
• Track record of choosing the proper transit, storage, and analytical technology to simplify and optimize the user experience
• Ability to thrive in a highly demanding, entrepreneurial, and fast-paced environment 
• Highly flexible, good tolerance for ambiguity, and able to quickly adapt to changing priorities
• A top performer with a proactive approach who has a “doer” & problem-solver mentality 
• An exceptional team player with strong communication skills
• A local presence in Denver or Boulder is preferred

COMPENSATION AND BENEFITS PACKAGE:

For Colorado Applicants: The expected starting salary range for this position in Colorado is between $110,000 - $140,000. Applicable salary ranges may differ across markets. Actual pay will be determined based on experience and other job-related factors permitted by law. The position is also eligible for incentive compensation as well as client acquisition bonus program.