Remote Data Jobs

As a Data Analyst within our Data Services team, you will help shape the future of employer services, with a focus on HR compliance and outsourcing. You will develop and implement data-driven solutions that allow strategic decision-making and improve business growth. You will build tasks, maintain data ingestion tools, convert data, resolve data import errors, and troubleshoot data issues.

As a Data Engineer, your primary responsibility is to design, build, and support modern data solutions using AWS by developing scalable ELT pipelines and data marts that serve both internal analytics teams and external reporting needs. In addition to building new solutions, you’ll also maintain and enhance legacy data pipelines that span both on-premises and cloud environments within a collaborative team.

Seeking a Mid QA Engineer to focus on Data & ETL Testing. Requires strong understanding of Data Warehousing (DW), ETL, and Data Quality concepts. Proficiency in SQL, RDBMS, and ETL validation. Experience validating reports and dashboards is needed.

Seeking a highly skilled and experienced Senior Data Engineer to lead the development and management of our data platform. This pivotal role will focus on supporting critical data needs and developing foundational data models that are essential for advancing our cross-border remittances business. Managing users, scaling compute resources, and ensuring the platform operates optimally and efficiently will be key components of this role.

The Data Analyst will work with teams (product, growth marketing, engineering, data science, CX and business owners, etc.) to measure, understand, and monitor key business metrics across our mobile apps and websites. The ideal candidate will be working with datasets across a variety of systems (SQL, Firebase,...). Deliver ad-hoc analysis with actionable insights, translate stakeholders’ priorities into dashboards and maintain data pipeline automation.

Collaborate with Product Managers, Product Operations, and Dev teams to create actionable insights. Monitor product and feature release performance, define success metrics, and provide optimization recommendations. Analyze market data, identify customer behavior and trends, and help design A/B tests. Build data models in dbt and create user-friendly dashboards to support decision-making.

In this position, you will drive the development of statistical models and machine learning algorithms to improve patient enrollment and trial management. You’ll work in a highly regulated healthcare data environment, ensuring compliance with privacy standards while innovating on predictive analytics. This role involves close collaboration with cross-functional teams to translate complex data insights into practical, impactful tools for the clinical research community.

Develop and maintain scalable data pipelines using Scala and Apache Spark, focusing on performance and reuse. Structure and evolve the medallion architecture (bronze, silver, gold), ensuring governance, traceability, and data quality. Implement solutions for data ingestion, transformation, and delivery in cloud and lakehouse environments. Define and apply data engineering best practices, including versioning, automated testing, and CI/CD.

Transform terabytes of data into actionable insights as an Analytics Engineer on Kraken's Data Platform team, enabling us to stay ahead in the ever-evolving cryptocurrency landscape. You’ll work on Finance data, building data products for various Finance and analytics teams, and that’s where your Finance background and expertise, alongside with Analytics Engineering skills will help us succeed!

Play a critical role in the foundation model development process, focusing on consolidating, gathering, and generating high-quality text data for pretraining, midtraining, SFT, and preference optimization. Create and maintain data cleaning, filtering, selection pipeline than can handle >100TB of data. Watch out for the release of public dataset on huggingface and other platforms.