Remote Data Jobs • Kafka

We’re building our talent pool of outstanding Data Engineers for upcoming client projects. Professionals bring deep expertise, remote collaboration experience, and a passion for shaping the future of software and product development. If you enjoy solving complex problems and want to be considered for impactful future roles, we’d love to connect.

Design, develop, and maintain scalable, secure, and high-performance data platforms. Build and manage data pipelines (ETL/ELT) using tools such as Apache Airflow, DBT, SQLMesh or similar. Architect and optimize lakehouse solutions (e.g., Iceberg).

The Data Infrastructure team is looking for a world-class engineer. This role drives stability, scalability and efficiency for the Houzz data ecosystem and builds critical systems that provide insights to drive growth. The candidate will architect and implement across our suite of tools that includes data pipelines, event streaming, and data warehouse/data lake.

As a Senior Software Engineer, you will define and execute the technical vision for Discord's data platform, enabling scalable, reliable, and performant data systems. You will design, implement, and optimize data infrastructure to process and analyze petabytes of data across millions of users. You will partner with data scientists, data engineers, product managers, and leadership to align technical solutions with business goals.

As a Data Engineer at Chartbeat, you will be designing, building, scaling, and maintaining our data pipelines, data stores, analysis engines, and APIs. You will primarily be contributing code within a cross-functional team, typically a few engineers, a designer, a data scientist, and a product manager. You will also participate in the engineering on call rotation to monitor and maintain the health of our production systems.

We are seeking an experienced Data Engineer with deep expertise in data transformation at scale, particularly in integrating and processing data from third-party public APIs. This role is critical to enhancing and maintaining data pipelines that feed into Natural Language Processing (NLP) models.

Help lead the growing backend engineering team at StackAdapt. Architect scalable low-latency backend systems and data pipelines. Write code as needed to support the team. Lead and mentor a team of talented engineers within the backend distributed systems team; make a positive impact on the team's productivity and growth.

Lead the development and enhancement of a secure, scalable, and efficient data platform for a high-profile government client. This role is pivotal in designing and delivering batch and real-time data processing solutions using both commercial and open-source technologies. As a technical leader, you'll be responsible for leading data engineering efforts, mentoring junior engineers, and ensuring data architecture aligns with business and compliance requirements.

Design, build, and maintain scalable data processing systems and analytics platforms. Lead our efforts to create robust, in-house data infrastructure solutions to support our growing data needs and business intelligence requirements. Design and implement efficient data storage and processing solutions for large-scale datasets; architect a new data processing framework to replace existing third-party solutions.

The Engineer, Data Integration ensures efforts are in alignment with the Enterprise Architecture team to support customer-focused objectives. The Engineer, Data Integration will help define and grow our data centric architecture and is responsible for implementing data ingestion, validation, and transformation pipelines. The Engineer, Data Integration will design and maintain batch and streaming integrations across a variety of data domains and platforms.