Data Engineer - Bi & Data Infra Lead (Remote)

iRESTORE is a fast-growing company dedicated to providing innovative solutions in the wellness and beauty space.Our mission is to restore confidence by providing safe and effective solutions for improving health and beauty.As we continue to scale, we are looking for an Data Engineer who will lead and optimize our BI stack, from data warehouse to reporting and modeling, to drive data-informed decisions company-wideAbout The PositioniRestore is seeking a highly skilled and hands-on Data Engineer / Analytics Engineer to lead the design, implementation, and optimization of our business intelligence infrastructure.This role will oversee our full BI stack - from our data warehouse (BigQuery), to reporting and visualization (Looker Studio), and eventually advanced modeling - empowering data-driven decision-making across the company.We’re looking for a strategic, execution-focused team player who can bridge deep technical skills with business insight.You’ll work closely with teams across Marketing, Operations, Customer Experience, and Creative to build scalable data solutions that unlock growth opportunities, optimize performance, and improve customer satisfaction.What You’ll Do:Take technical ownership of the team’s data stack, including implementation of tools for tracking, reporting, and automationImplement and maintain integrations such as tracking pixels, server-to-server (S2S) connections, and event tracking systems to support marketing campaignsBuild and maintain pipelines for real-time reporting on spend and performance across platformsDesign and implement attribution models to measure and improve campaign effectivenessAct as the technical point of contact (POC) for the User Acquisition team, troubleshooting issues related to tracking, naming conventions, URLs, and APIs - including coordination with external partnersDevelop and implement automation solutions to improve the User Acquisition team’s productivityCollaborate with cross-functional teams to support marketing initiatives and resolve technical challengesBuild pipelines for inventory forecasting across DTC (Shopify) and marketplaces (Amazon, TikTok Shop, etc.), supporting Operations and Logistics teams in marketing-aligned planningWHAT WE’RE LOOKING FOR:Required Qualifications4+ years of proven experience in data engineering, preferably within eCommerce or technology industriesAdvanced proficiency in SQL and data warehouse modelingHands-on experience managing cloud data warehouses such as BigQuery or Snowflake or any other MPPProficiency in Python for automation and data manipulationExperience with modern data stack tools such as dbt, Airflow, and Looker/Tableau/Power BIStrong understanding of marketing data ecosystems, including APIs, tracking pixels, server-to-server (S2S) integrations, and event tracking systemsFamiliarity with eCommerce platforms and marketing tools such as Shopify, Amazon Seller Central, Google Ads, and Meta AdsNice to Have:Experience working with containerization tools such as Kubernetes and DockerExperience with GCP or other cloud platforms beyond BigQuery / SnowflakeProven ability to work effectively in fully remote and distributed team environments, leveraging async communication, autonomy, and collaboration across time zones.Our Core Values and what we built our culture around:WE THINK BIG:We have a forward-thinking, growth mindset and always consider the big picture in our decisionsPROACTIVE PROBLEM SOLVER:We use our problem-solving and analytical skills to make data-informed decisionsWE ARE COMFORTABLE BEING UNCOMFORTABLE:We work together to iron out improvements or changes to achieve goalsOPEN & HONEST COMMUNICATION/FEEDBACK: We communicate and share feedback with each other with radical candor and transparencyCONTINUOUS LEARNING & IMPROVEMENT: We are always improving the way we work and challenging each other to bring new ways of thinking to the tablePASSIONATE ABOUT WHAT WE DO: We strive to motivate and empower each other to contribute to a positive team cultureCompetitive Compensation and Benefits:Medical and dental benefits after 6 months of tenurePaid Time Off (PTO) for all full-time team membersHigh growth trajectory with quarterly/annual reviewsQuarterly Internet ReimbursementGym membership credit - your physical and mental health is super importantWork from anywhere - this is a remote opportunity#J-*****-Ljbffr

4+ years of proven experience in data engineering, preferably within eCommerce or technology industries Advanced proficiency in SQL and data warehouse modeling Hands-on experience managing cloud data warehouses such as BigQuery or Snowflake or any other MPP Proficiency in Python for automation and data manipulation Experience with modern data stack tools such as dbt, Airflow, and Looker/Tableau/Power BI Strong understanding of marketing data ecosystems, including APIs, tracking pixels, server-to-server (S2S) integrations, and event tracking systems Familiarity with eCommerce platforms and marketing tools such as Shopify, Amazon Seller Central, Google Ads, and Meta Ads Nice to Have: Experience working with containerization tools such as Kubernetes and Docker Experience with GCP or other cloud platforms beyond BigQuery / Snowflake Proven ability to work effectively in fully remote and distributed team environments, leveraging async communication, autonomy, and collaboration across time zones.

WE ARE COMFORTABLE BEING UNCOMFORTABLE: We work together to iron out improvements or changes to achieve goals OPEN & HONEST COMMUNICATION/FEEDBACK: We communicate and share feedback with each other with radical candor and transparency CONTINUOUS LEARNING & IMPROVEMENT: We are always improving the way we work and challenging each other to bring new ways of thinking to the table PASSIONATE ABOUT WHAT WE DO: We strive to motivate and empower each other to contribute to a positive team culture Competitive Compensation and Benefits: Medical and dental benefits after 6 months of tenure Paid Time Off (PTO) for all full-time team members High growth trajectory with quarterly/annual reviews Quarterly Internet Reimbursement Gym membership credit - your physical and mental health is super important Work from anywhere - this is a remote opportunity #J-*****-Ljbffr