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Senior Data Engineer

InMarket
CompanyInMarket
CategoryEngineering
LocationRemote
RemoteRemote
EmploymentNot stated
LevelSenior
SalaryNot stated by the employer
Posted7 Aug 2026
Last verified8 Aug 2026
SourceEmployer ATS (greenhouse)
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Description
About InMarket Since 2010, InMarket has been the leader in 360-degree consumer intelligence and real-time activation for thousands of today's top brands. Through InMarket's data-driven marketing platform, brands can build targeted audiences, activate media in real time, and measure success in driving return on ad spend. InMarket's proprietary Moments offering outperforms traditional mobile advertising by 6x.* Our LCI attribution platform, which won the MarTech Breakthrough Award for Best Advertising Measurement Platform, was validated by Forrester to drive an average of $40 ROAS for our clients. *Source: Wordstream US Google Display Benchmarks for Mobile Media About the Role We are looking for a talented Senior Data Engineer to join the team that builds the essential data infrastructure at the heart of InMarket's product suite. You should be a quick learner who is enthusiastic about learning new technologies, and a passionate engineer who empowers fellow engineers to write clean and efficient data pipelines. You will implement technical solutions to empower internal and external customers and scale the existing data platform, working closely with end users to define key business questions, leading fellow engineers to define technical solutions, and partnering with Product Managers to build the data sets that answer those questions. You will work with huge datasets and build ETLs that bring data together to answer business questions, drive reporting, and fuel growth. Core Areas of Responsibility Pipeline Development & Architecture Design and implement ETL pipelines in Apache Airflow, BigQuery, Python, and Spark to transform upstream source data into curated data assets used across InMarket's data-driven products Architect and plan projects involving highly distributed, high-performance data platform systems Identify areas for improvement in existing pipelines and processes Understand business requirements and convert them into technical solutions Technical Leadership & Best Practices Stay current with and advocate internally for Data Engineering best practices, technologies, and testing frameworks that shape InMarket's technical future Provide technical guidance to other engineers to help grow their knowledge and technical capabilities Lead fellow engineers in defining technical solutions to business problems Cross-Functional Collaboration Work closely with end users to define key business questions, and with Product Managers to build the data sets that answer them Communicate complex concepts and analysis results clearly and effectively to Product and Engineering Managers Impact & Success Indicators In your first 90 days: Onboard onto InMarket's data stack (Airflow, BigQuery, Python, Spark) and ship your first ETL pipeline improvement or fix Build working relationships with Product Managers and engineering peers across the data team Develop fluency in InMarket's existing data architecture and identify at least one improvement opportunity in current pipelines Actively participate in code reviews and adopt the team's engineering best practices   In your first year: Design and deliver end-to-end ETL pipelines that power one or more of InMarket's data-driven products Serve as a technical mentor, raising the skill level and pipeline quality of fellow engineers Lead architecture decisions for a highly distributed, high-performance data platform initiative Establish or improve a testing and data-quality framework adopted across the team   We're Looking for Someone With Strong SQL experience Expertise in at least one data pipelining orchestration framework (Airflow, Luigi, etc.) Experience building ETL pipelines Strong software engineering skills in an object-oriented language such as Java or Python Experience build