Senior Data Engineer
InMarket
| Company | InMarket |
| Category | Engineering |
| Location | Remote |
| Remote | Remote |
| Employment | Not stated |
| Level | Senior |
| Salary | Not stated by the employer |
| Posted | 7 Aug 2026 |
| Last verified | 8 Aug 2026 |
| Source | Employer ATS (greenhouse) |
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