Remote Data Jobs · Docker

Looking for a Lead – Data Engineer I to join the product development team in India. This is a hands-on technical leadership role that combines deep expertise in data engineering with strong software development skills. You will lead the design and implementation of data platforms, APIs, and pipelines that are scalable, secure, and aligned with modern software architecture principles.

Lead the design and evolution of our data platform from architecture to production with a focus on reliability, cost, and scale. Drive decisions on data stack and platform standards across teams. Build and optimize high-performance data services and pipelines (batch and streaming) for large-scale workloads. Own production operations for file- and event-based systems. Reduce technical debt and simplify systems with clean interfaces and clear patterns.

Extract and organize data from multiple blockchains using RPC, API, or smart contract calls. Develop and maintain the software stack for collecting and indexing transaction data for efficient consumption. Maintain a reliable API to provide comprehensive account histories and ensure data is auditable and meets SLAs. Track and monitor public blockchain sources and find necessary data for analysis.

Shape the future of AI in influencer marketing. You will build from scratch and improve existing code. Requires expertise in data modeling and warehousing, including dimensional modeling and performance tuning. Design and operate ETL and ELT pipelines with tools like Airflow or Dagster, plus dbt for transformations.

Play a key role in designing, developing, and maintaining high-performance data platforms and AI-integrated solutions. Lead by example, writing production-grade code, mentoring team members, and driving technical excellence across an empowered Scrum team. Work will directly influence the delivery of scalable, distributed systems that process large volumes of real-time data.

As a Senior Data Engineer, you'll design and implement large-scale distributed data processing systems using technologies like Apache Hadoop, Spark, and Flink, building robust data pipelines and infrastructure. You'll transform complex data into actionable insights, ensuring scalability and fault-tolerance across our platform. You'll architect data lakes, warehouses, and real-time streaming platforms while implementing security measures and optimizing performance.

At Resultant, they are fearless problem solvers passionate about helping clients solve their toughest problems. As a Senior Data Scientist / Machine Learning Engineer, you will have the opportunity to develop novel machine learning and AI solutions and deploy them to production applications and systems. You will engage with clients to understand business needs and translate them into technical requirements.