Top Remote Data Engineer Jobs

The Senior Data Integration Consultant interfaces with customers' functional teams to understand the data and automation needs required to achieve a connected reporting experience. They will translate functional needs into technical requirements and work closely with customers’ technical teams to connect the Workiva platform to the customers’ enterprise systems. This role is responsible for the design and delivery of the Data Management Suite comprised of Wdata Tables/Queries/Views, Chains, and Data Prep.

The Senior Data Engineer at Workiva will be responsible for building distributed services to support data analytics teams and business intelligence engineers reliably and at scale using AWS cloud environments. They will collaborate with cross-functional teams to improve customer experience, build and maintain data flows for analytics and machine learning, and ensure quality and reliability of data.

Seeking an Engineering Leader in Machine Learning for Security AI to lead teams, architect solutions, and drive innovation. Responsibilities include team leadership, architecture design, model development, training, and solution development in the realm of Security AI.

Develop and implement advanced ML models and algorithms for security problems. Lead model training and evaluation, build robust software systems for model deployment, collaborate on deployment strategies, and establish documentation and best practices.

As a Machine Learning Engineer on the Duo Security ML Infrastructure team, you will participate in designing and building systems to handle ML-powered applications, collaborate with various teams, and develop new data-powered products.

Design and develop data models in Snowflake with DBT for internal business partners. Write advanced SQL queries for ELT and data warehousing. Collaborate with team members on projects and promote business data models for self-service reporting. Follow data governance best practices and standards. Utilize tools like Snowflake, DBT, SQL, Python, and more for ETL, data modeling, and analytics.

The Staff Analytics Data Engineer will lead and own strategic data projects, architect scalable data pipelines, solve complex data challenges, refine development processes, and collaborate with business partners. The role involves developing and optimizing data pipelines for actionable insights and ML workloads across Pfizer's Commercial business.

Senior ML Engineer role at Grammarly's On-Device ML team responsible for proposing, designing, and implementing strategic new features using ML models to enhance writing assistance capabilities. Collaborate with core product teams, monitor deployment, and leverage academic research to advance technology.

Join Grammarly's Responsible AI team as a Machine Learning Engineer specializing in NLP. Develop and implement new ML solutions to enhance the safety and fairness of Grammarly products. Work in cross-functional teams to leverage ML advances and build scalable solutions.

As a Machine Learning Engineer at Liftoff, you will own ML models with direct business impact, adopt new technologies, mentor team members, monitor ML research, and influence team roadmaps. Requires 8+ years of ML experience, strong engineering skills, and a degree in Machine Learning, Math, Physics or similar. Experience with AdTech is a plus.

Machine Learning Engineer on the Embeddings team at Liftoff.

Design, develop, and maintain scalable solutions for ongoing metrics, reports, and analyses to support analytical and business needs. Translate business problem statements into analysis requirements and collaborate with the team to measure customer experience. Develop queries, visualizations, troubleshoot data-quality issues, and recommend improvements to back-end data sources.