Senior Data Engineer
LaterAbout the role
Later is the enterprise leader in social media and influencer marketing software, services, and data, trusted by leading brands and agencies worldwide. Following our acquisition of Mavely, the Everyday Influencer Platform®, Later enables brands to scale creator partnerships from nano to premium influencers while managing social media content and campaigns across all major social and affiliate networks. Through proprietary performance data, marketing leaders can drive attributable sales and optimize social commerce with our software platform or award-winning services.
Later is founded on two success stories that began in 2014: Mavrck, the industry-leading influencer marketing solution (now Later Influence™), and Later, the best social media management platform (now Later Social™) and first-to-market link in bio tool, Later Link in Bio. In 2024, Mavrck and Later officially joined together as one unified business, with a shared vision: to enable the world to make a living with their creativity.
We’re trusted by the top social platforms, with partnerships and integrations with Meta, TikTok, X/Twitter, LinkedIn, YouTube, and Pinterest.
We enable marketers to create high-performing content and engage in authentic collaborations with creators to reach new audiences, drive engagement, and generate predictable ROI.
Development at Later:
We are builders and innovators on a mission to democratize the creator economy.
At Later, you'll work alongside experts who are redefining what's possible in social commerce, tackling complex challenges from AI-powered content recommendations to systems that process billions of posts daily. While our standards are high and the work is demanding, we believe social media has unprecedented power to create economic opportunity for creators and businesses worldwide.
This isn't just about building software – it's about empowering millions of entrepreneurs, creators, and businesses to transform their digital presence into sustainable growth. We're creating an accessible platform where anyone can thrive in the creator economy, from solopreneurs to global brands.
You'll be challenged to think bigger and move faster than you ever have before. The problems we solve are complex, but for those who embrace the challenge, this will be the most meaningful work of your career. Our vision is ambitious: to empower 1 billion people to make a living through their creativity by putting powerful, intuitive tools in their hands.
If you believe in democratizing digital marketing, enabling authentic connections, and building technology that creates real economic opportunity, Later is where your expertise will make a difference. Let's shape the future of social commerce together.
About this position:
As a Senior Data Engineer at Later, you will play a crucial role in building and optimizing our data warehouse, providing a tremendous opportunity to shape our data infrastructure and support our rapid growth. You will design, implement, and maintain robust data pipelines and architectures that facilitate efficient data processing and real-time analytics. Collaborating with engineers, data partners, and stakeholders, you will leverage cloud technologies in developing impactful data solutions that transform raw data into actionable insights.
What you'll be doing:
- Data Warehouse Development: Design and build a robust data warehouse architecture.
- Data Pipeline Development: Design, build, and maintain scalable data pipelines for both batch and real-time processing, ensuring high availability and reliability.
- Transformation Layer: Develop reliable transformation layers and data pipelines from ambiguous business processes using tools like DBT.
- Data Architecture & Streaming: Establish optimized data architectures using cloud technologies, and implement both batch and streaming data processing systems.
- Data Quality & Governance: Enforce data quality checks and governance practices to maintain data integrity and compliance.
- Cross-Functional Collaboration: Work with data scientists, product managers, and business stakeholders to understand data needs and deliver actionable insights.
- Performance Optimization: Analyze and optimize data pipelines for performance and cost-effectiveness.
We are committed to building an inclusive, supportive place for you to do the best and most rewarding work of your career. If you identify with any of the following, we encourage you to apply
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