
SMS marketing platform for eCommerce success
Postscript is a leading SMS marketing platform specifically designed for eCommerce businesses, primarily focusing on Shopify stores. Headquartered in South Scottsdale, AZ, Postscript has raised $104.8 million in Series B funding and serves over 5,000 merchants, helping them turn SMS into a top reven...
Postscript offers flexible work-from-home options, equity grants, and a generous PTO policy. Employees enjoy comprehensive medical, dental, and vision...
Postscript fosters a culture of transparency and trust, encouraging direct feedback and open communication. The company prioritizes personalized marke...

Postscript • Remote
Postscript is seeking a Staff Data Engineer to lead their Data Engineering practice and modernize their data architecture. You'll work with technologies like Apache Iceberg and Airflow to enhance data access for various teams. This role requires significant experience in data engineering and cloud platforms.
You have 5+ years of experience in data engineering, with a strong background in building and optimizing data pipelines. Your expertise in cloud platforms, particularly AWS, allows you to design scalable and efficient data architectures that support business intelligence and machine learning initiatives. You are proficient in SQL and Python, enabling you to manipulate and analyze large datasets effectively. You have experience with data lakehouses, particularly with technologies like Apache Iceberg, and understand the importance of data governance and quality. You thrive in a remote work environment and are comfortable collaborating with cross-functional teams to drive data-driven decision-making. You are passionate about leveraging data to create impactful solutions for ecommerce brands.
Experience with Airflow for orchestrating complex data workflows is a plus. Familiarity with BI tools and machine learning frameworks will enhance your contributions to the team. You are a proactive communicator who enjoys mentoring junior engineers and sharing knowledge within your team.
As a Staff Data Engineer at Postscript, you will lead the modernization of our data stack, focusing on building a robust data lakehouse that facilitates broad access to data for our BI, Machine Learning, and Engineering teams. You will design and implement data pipelines that ensure data quality and availability, enabling teams to derive insights and make informed decisions. You will collaborate closely with data scientists and analysts to understand their data needs and provide them with the necessary tools and infrastructure. Your role will involve optimizing existing data processes and exploring new technologies to enhance our data capabilities. You will also be responsible for documenting data architecture and workflows to ensure transparency and maintainability. As a leader in the data engineering practice, you will mentor junior engineers and contribute to the overall growth of the team.
Postscript offers a fully remote work environment, allowing you to work from anywhere while being part of a dynamic and growing team. We provide competitive compensation and benefits, including opportunities for professional development and growth within the company. You will be part of a mission-driven organization that values innovation and collaboration, working alongside talented individuals who are passionate about redefining marketing for ecommerce companies. Join us in making SMS the number-one revenue channel for ecommerce merchants and help shape the future of our data platform.
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