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SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this…
Senior QA Analyst
Senior QA Analyst at Huge (remote within Colombia) defining test strategy and leading manual/automated testing of mobile apps on physical iOS/Android devices and web platforms, debugging React frontends, validating APIs with Postman, and using AI tools like Claude Code. Requires working a fixed EST-hours shift (Wed-Sun or Fri-Tue, 9am-5pm).
Senior Software Engineer, Ads Measurement
Senior engineer on Roblox's Ads Measurement team architecting large-scale ads serving, attribution/identity-matching, and audience-segmentation backend systems, plus third-party measurement integrations. Stack includes C#/Go/Rust/Java/C++/Python, Kafka, Flink, Redis, and distributed SQL/NoSQL; onsite Tue–Thu at the San Mateo, CA HQ.
Director, Data Security Engineering (Digital Trust)
Leads a team to design and implement data security controls (DLP, encryption, classification) across cloud, SaaS, and on-premises systems, ensuring compliance and protecting sensitive data in a fast-growing e-commerce company.
Director, Data Security Engineering (Digital Trust)
Leads a team to design and implement data security controls (DLP, encryption, zero trust) across cloud, SaaS, and on-premises systems for a large e-commerce company.
Software Engineer (Remote Opportunities Available)
RMS is hiring a Software Engineer (remote opportunities available) in Oklahoma City to design, develop, test, and maintain software applications on a small Agile team. Core stack: back-end Java plus C#/.NET, SQL databases with ORM, modern JavaScript frameworks, Git, and Linux scripting.
Principal Data Scientist: Big Data Analytics Lead
Placements24 in Randburg, South Africa, is hiring a Principal Data Scientist to lead big data analytics initiatives — extracting insights from massive datasets, building predictive models, and driving production ML deployments while mentoring junior data scientists and shaping data strategy.
Senior Data Scientist (Big Data)
Fully remote Senior Data Scientist for a renewable-energy analytics company (sourced via recruiter Placements24). Day to day: build and deploy machine learning models and big-data pipelines (Hadoop, Spark, Kafka) in Python/R to extract insights and drive decisions in the energy sector.
Principal Data Scientist (Big Data Analytics)
Senior data science role in Randburg, South Africa: lead advanced big data analytics projects, build and deploy production ML models on large-scale pipelines, and mentor junior data scientists. Core stack includes Spark, Hadoop, and Kafka, with Python/R, SQL/NoSQL, and cloud platforms like AWS, Azure, or GCP.
Senior Data Scientist — Big Data Analytics Leader
Senior Data Scientist in Port Elizabeth, Eastern Cape, leading big data analytics and building advanced predictive models to drive business strategy. Day to day: partnering with data engineers and analysts to deliver scalable ML-driven insights and mentoring a team in a data-driven culture.
Remote Senior Data Scientist - Big Data for Energy
Fully remote Senior Data Scientist role in energy analytics: building and deploying scalable ML models, creating data pipelines, and turning complex data into actionable business insights. Emphasizes stakeholder collaboration, data governance, and staying current with ML and Big Data technologies.
Group Product Manager, AI Foundations
Group Product Manager owning product strategy and roadmap for Coinbase's AI Foundations platform — internal AI infrastructure like the LLM Gateway, model selection, evaluations, and knowledge/context primitives used by teams company-wide. Remote within the USA; salary $243,865–$286,900 plus equity and bonus.
Senior Data Engineer - AI Platforms
Senior Data Engineer who designs, builds, and maintains ETL data pipelines and cloud data infrastructure (AWS/Azure/GCP) powering AI/ML initiatives, ensuring data quality and scalability for data scientists and AI engineers. Based in Upington, Northern Cape on a hybrid model; requires 5+ years in data engineering with SQL, Python, and big data tools.
AI Data Engineer - Big Data Pipelines
AI Data Engineer building and maintaining scalable big data pipelines (ETL/ELT, data warehouses and lakes on cloud) that feed AI/ML initiatives, ensuring data quality and performance end to end. Core stack: SQL, Python/Scala/Java, Spark/Hadoop/Flink, Airflow, AWS/Azure/GCP data services.
AI Data Engineer: Scalable Big Data Pipelines in the Cloud
AI Data Engineer at Placements24 in Polokwane who designs and maintains scalable cloud data pipelines for AI projects — building data warehouses/lakes and ETL/ELT processes so data scientists and ML engineers get reliable, quality data. Core stack: SQL, Spark/Hadoop/Flink, Python, Scala.
Hybrid Senior Data Engineer - Big Data & ETL Pipelines
Senior Data Engineer at a Sandton-based data analytics firm, designing and maintaining scalable ETL/ELT pipelines and big data infrastructure for BI, ML and reporting. Core stack: Spark, Hadoop, and cloud platforms (AWS, Azure, GCP). Hybrid work model.
Data Engineer
Data engineer (12-month renewable contract) at BICRM's Johannesburg office, focused on cloud migration, data modelling, building and managing data pipelines, hybrid cloud/on-prem analytics infrastructure, and deploying and maintaining machine learning models. Requires 6+ years of data engineering experience; South African citizens or permanent residents only.
Senior Data Engineer - Cloud & ML Pipelines (12m Contract)
12-month renewable contract for a senior data engineer with 6+ years' experience: driving cloud migration, data modelling, and robust data pipelines across hybrid cloud and on-prem assets, plus deploying and maintaining ML models with DevOps/DataOps practices. On-site role (posting mentions both Pretoria and Johannesburg).
Senior Data Engineer (Big Data & ETL)
Senior Data Engineer at a data analytics firm in Sandton (hybrid work). Day to day: designing, building, and maintaining scalable ETL/ELT pipelines and cloud data infrastructure using big data tools (Spark, Hadoop), SQL, Python/Scala, and cloud platforms like AWS, Azure, or GCP to support BI, ML, and reporting.