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InMarket

Sr. Data Engineer

Reposted 3 Days Ago
Remote
Hiring Remotely in United States
140K-175K
Mid level
Remote
Hiring Remotely in United States
140K-175K
Mid level
The Sr. Data Engineer will design and implement ETL pipelines, work with stakeholders to define technical solutions, and optimize data processes to enhance InMarket's data infrastructure.
The summary above was generated by AI

Job Title: Senior Data Engineer

Location: Remote 


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. You should be a passionate engineer who will empower fellow engineers to write clean and efficient data pipelines. You will implement technical solutions to empower internal/external customers and scale the existing data platform. You will work closely with end users to develop and define key business questions, lead fellow engineers to define technical solutions, then work with Product Managers to build the data sets that answer those questions. You will work with huge datasets and build ETL’s that bring data together to answer business questions, conduct reporting, and drive growth. 


Your daily impact as a Sr. Data Engineer

  • Design and implement ETL pipelines in Apache Airflow, Big Query, Python, and Spark to transform various upstream sources data into curated data assets for use across InMarket’s vast array of data driven products 
  • Stay up to date with and advocate internally for Data Engineering best practices, technologies, and testing frameworks that will help shape InMarket’s technical future 
  • Architect and plan projects involving highly distributed and high performance data platform systems
  • Provide technical guidance to other engineers in order to help promote the growth of their knowledge and technical capabilities
  • Communicate complex concepts and the results of the analyses in a clear and effective manner to Product and Engineering Managers
  • Identify areas for improvement in existing pipelines and processes 
  • Understand business requirements and convert them to technical solutions

Your Experience and Expertise 

  • Strong SQL experience 
  • Expert 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 building and optimizing a data warehouse on a major cloud platform (Big Query preferred but not required) 
  • Experience and deep understanding of Big Data Technologies such as Hadoop and Spark 
  • Experience with building and optimizing large scale and high-performance systems 
  • Extensive knowledge of data related tools and architecture concepts in a major cloud platform 
  • Knowledge of Kubernetes, Docker, Airflow, Git, and CD/CI best practices 
  • Strong collaboration and communication skills within and across teams 
  • B.S. or M.S. in Computer Science or a related technical field 
  • At least 4 years of software engineering experience, ideally in data engineering

Nice to have:

  • Experience in Python, SQL, and Spark 
  • Experience in Apache Airflow 
  • Experience in optimizing Big Query performance 
  • Experience building a data governance platform in a regulated environment 
  • Experience with various data testing frameworks and technologies 
  • Familiarity with the digital media / advertising industry
  • Knowledge of Kubernetes, Docker, Airflow, Git, and CD/CI best practices 

Benefits Summary

  • Competitive salary, stock options, flexible vacation
  • Medical, dental and Flexible Spending Account (FSA)
  • Company Matched 401(k)
  • Unlimited PTO (Within reason)
  • Talented co-workers and management
  • Agile Development Program (For continued learning/professional development)
  • Generous Paid Parental Leave

For candidates in California, Colorado, and New York City, Illinois, Minnesota, New Jersey, Vermont and Massachusetts, the Targeted Base Salary Range for this role is $140,000 to $175,000. 


Actual salaries will vary depending on factors including but not limited to work experience, specialized skills and training, performance in role, business needs, and job requirements. Base salary is subject to change and may be modified in the future. Base salary is just one component of InMarket’s total rewards package that also may include bonus, equity, and benefits.  Ask your recruiter for more information!


At InMarket, diversity is not just a value, it’s the very essence of who we are. It’s about recognizing and celebrating the unique perspectives each of us brings, from our colleagues to the communities we serve.We are committed to embracing the full spectrum of backgrounds, beliefs, abilities, and life experiences, knowing that this diversity strengthens us. At InMarket, our commitment to Diversity, Equity, and Inclusion means valuing each individual’s unique contributions. Together, we thrive.


InMarket is an Equal Opportunity Employer (EOE). Qualified applicants are considered for employment without regard to age, race, color, religion, sex, national origin, sexual orientation, disability, or veteran status.


Privacy Notice for California Job Applicants: https://inmarket.com/ca-notice-for-job-applicants/


#LI-Remote



Top Skills

Apache Airflow
Big Query
Docker
Git
Hadoop
Kubernetes
Python
Spark
SQL

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