Senior Data Engineer

Job not on LinkedIn

🔥 0 minutes ago

🏄 California, Colorado, +7 more states – Remote

🏄 California – Remote ⛰️ Colorado – Remote 🌽 Illinois – Remote 🏖️ New Jersey – Remote 🗽 New York – Remote 🍂 Massachusetts – Remote ❄️ Minnesota – Remote 🍁 Vermont – Remote ☕ Washington – Remote

💵 $140k - $175k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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InMarket

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2010

📣 Marketing

Advertising • Marketing • Analytics

InMarket is a real-time marketing and measurement platform that connects brands and consumers in meaningful ways. The company specializes in driving growth and optimizing ad spend through its industry-leading platform, which closes the gap between consumer intent and real-world commerce. By leveraging advanced analytics and real-time data, InMarket helps brands create impactful advertising strategies that measure real-world outcomes such as visits and sales lift. With a focus on effectiveness and privacy, InMarket partners with major platforms like Reddit to enhance advertising campaign measurement and attribution.

📋 Description

• Design and implement ETL pipelines in Apache Airflow, BigQuery, Python, and Spark • Architect and plan projects involving highly distributed, high-performance data platform systems • Identify improvements in existing pipelines and processes • Translate business requirements into technical solutions • Advocate for data engineering best practices, technologies, and testing frameworks • Provide technical guidance and mentorship to other engineers • Lead engineers in defining technical solutions to business problems • Collaborate with end users and Product Managers to define business questions and build datasets • Communicate complex concepts and analysis results to Product and Engineering Managers • Deliver end-to-end ETL pipelines powering InMarket’s data-driven products • Lead architecture decisions and establish or improve testing and data-quality frameworks

🎯 Requirements

• Strong SQL experience • Expertise in at least one data pipeline orchestration framework, such as Airflow or Luigi • 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; BigQuery preferred but not required • Deep understanding of Big Data technologies such as Hadoop and Spark • Experience building and optimizing large-scale, high-performance systems • Extensive knowledge of data-related tools and architecture concepts on a major cloud platform • Knowledge of Kubernetes, Docker, Airflow, Git, and CI/CD best practices • Strong collaboration and communication skills • 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 • All applicants must be authorized to work for any employer in the U.S.; no employment visa sponsorship available

🏖️ Benefits

• Competitive salary and stock options • Flexible vacation / Unlimited PTO (within reason) • Medical, dental, and Flexible Spending Account (FSA) • Company-matched 401(k) • Paid Paternity & Maternity Leave • Agile Development Program for continued learning and professional development • Bonuses and equity may be included in the total rewards package