Data Engineer

Who We Are
Measured provides the only media optimization platform powered by incrementality intelligence so consumer brands can validate, plan, test and optimize advertising spend to drive business outcomes. Our proven methodology combines each brand’s own performance data with results from years of continuous testing, across all channels and tactics, to reveal the true contribution of advertising spend to incremental sales. Leading consumer brands trust insights from Measured to make ongoing media investment decisions through automated solutions for incrementality-based attribution, in-market testing, benchmarking, and scenario planning. Measured is a 100% remote-first company with employees located all around the world.
Summary
The Measured platform represents the 4th gen evolution in marketing analytics SaaS platforms. It’s packed with “standard” innovations in marketing tech and ad tech over the last 15 years, while pushing the envelope on new frontiers in marketing tech and marketing sciences. We are solving problems across distributed systems, linear/integer programming, state machine algorithms, managing industrial-scale ML models and artfully-crafted-bespoke data science models in one framework, dependency graphs based adaptive systems, SaaS-like database management, managing 100s of 3rd party API integrations, applications in graph theory, artful blending of big data & small data, the list goes on.
The engineering program is set up in an agile and iterative mold, with just-enough-process, maximal creative freedom and ownership to enable you to really express yourself and do the best work of your career. The Data platform engineering group is responsible for conceiving, building and managing the data warehouse and data platform Measured.
Responsibilities

 
Build efficient and scalable data pipelines that move data from source systems to target systems.
 
Build and maintain data warehouses and data fabrics that store and manage large volumes of data.
 
Collaborate with data scientists, and other stakeholders to ensure data quality and accuracy.
 
Optimize data pipelines for performance and reliability.
 
Troubleshoot data issues and provide solutions.

Qualifications

 
3+yrs production software experience.
 
Minimum BA/BS or equivalent in CS, MIS, Engineering or closely related field.
 
Experience with Cloud platforms, preferably AWS.
 
Strong knowledge of popular database and data warehouse technologies & concepts from Google, Amazon such as BigQuery, Redshift, Snowflake etc.
 
Expertise in data mesh and lakehouse methodologies.
 
Experience in data modeling, data design and persistence on large complex datasets.
 
Experience with object-oriented design and development (preferably Kotlin/Java).
 
Background in Spark, or other Big Data related technologies, non-relational databases is a plus.
 
Desire to apply agile development principles in a fast-paced startup environment.
 
Strong teamwork and communications.


No recruiters, applicants only.