Remote Data Jobs • BigQuery

As a Senior Data Engineer, you will be responsible for maintaining and curating Kiln's internal data platform, supporting teams in integrating their data needs onto the platform, building data models to address business needs, and serving as a technical expert to establish data management standards at Kiln.

Vultr is seeking a highly skilled and experienced Business Intelligence (BI) Architect to design, develop, and maintain business intelligence solutions using Power BI. The ideal candidate is an expert in common data stores such as MySQL, BigQuery, Clickhouse, with proven experience maintaining, managing and manipulating systems and data for presentation to meet business needs in PowerBI. This is a highly visible role in a high-growth technology company.

The Data Warehouse Platform team is looking to hire a Staff software Engineer who is excited to solve large scale data platform and efficiency challenges. As a staff engineer, you will work within and across teams to create and improve scalable, fault tolerant, self-serve systems. You will also create and execute a strategy to ensure a high level of end-to-end data quality and help shape the data culture across all of Reddit!

Seeking an English-fluent Data Engineer, based in Latin America, available to work remotely. The ideal candidate would enhance and maintain the infrastructure powering our analytics and data products, ingest new data from files, APIs, and external databases into a centralized data store. You would also implement and enforce data governance policies, ensuring adherence to best practices in data security, integrity, privacy, and regulatory compliance.

We are seeking a Data Engineer to help build and maintain a robust, trustworthy, and well-documented data platform, developing and maintaining data pipelines, implementing monitoring and alerting systems, establishing data quality checks, and ensuring that data structures and documentation stay up to date and aligned with business needs.

Transition legacy systems to a cloud-native, modern data stack leveraging tools such as Informatica, Airflow, Postgres and modern technologies like Snowflake, dbt , BigQuery , Looker, CI/CD, Git, Databricks, PowerBI , Datadog and Grafana. Build innovative, scalable, and reliable data products that support Kinaxis’ strategic goals. Partner with internal business stakeholders from different business units and cross-functional teams to design and deliver tailored data solutions.

We are seeking an experienced Analytics Implementation Engineer to join our growing team. In this role, you will take ownership of tracking and instrumentation across multiple digital products, ensuring data integrity and visibility from front-end tagging to data pipelines. You will work closely with engineering, marketing, and analytics teams to implement robust and scalable solutions that drive data-informed decision-making.

This role provides crucial data related to crisis services, fundraising, operations, and more, to teams across Trevor. Serving as the technical administrator of all data infrastructure, this role connects source systems to the BigQuery data warehouse using ETL technologies.

Dailymotion is seeking an Analytics Engineer to join the Data Engineering Teams, responsible for most of the Data products at Dailymotion. The Analytics Engineering team focuses on providing reliable data for analysis company-wide, including building and managing our multi-petabyte data warehouse and data synchronization systems. As an Analytics Engineer, you'll blend software engineering and data skills to maintain code and model data effectively.

This role focuses on building robust, scalable pipelines to onboard new cost data providers into the Cloud Costs platform. You will design and implement methodologies to accurately model, allocate, and expose cloud and third-party spend to internal teams. The role involves partnering with FinOps engineers and stakeholders to deliver high-impact cost visibility features that unlock real savings opportunities, and developing reusable analytics components and dbt models to streamline cost data integration and reallocation.