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Data Engineer
Builds and maintains data pipelines and models to transform raw data into governed, business-ready products for analytics and reporting, using Databricks, Python, SQL, and Spark.
Senior Product Manager, Data & Integrations
Own the product roadmap for reverse ETL and data integrations, turning customer pain points into elegant solutions that power analytics and AI for thousands of businesses.
Data Engineer ClickHouse
The Data Engineer will maintain and optimize ClickHouse clusters and design ETL processes using Kafka and Bash to support real-time user environment analytics. The role involves database performance monitoring, automation scripting, and architectural design within a hybrid work environment.
Data Engineer
Designs and maintains data pipelines, ETL/ELT workflows, and real-time streaming for a travel-focused company, ensuring data quality and compliance.
Senior Data Engineer
Senior Data Engineer owning end-to-end data platform development with BigQuery, ETL/ELT pipelines, and consolidation of on-chain and off-chain data sources in a crypto/fintech environment.
Sr. Software Engineer, MYSQL Database Developer
Designs, optimizes, and maintains large-scale MySQL databases and ETL pipelines for an AdTech platform, using Hadoop, Spark, and related big data tools to process and analyze advertising data.
Lead AI Data Engineer
Lead a team to build AI-ready data pipelines and integrations that power HERE’s AI, generative AI, and agent-based solutions, ensuring trusted, scalable data foundations for enterprise use cases.
Системный аналитик ( команда Потоки данных. Результаты расчета)
System analyst builds and documents a new payroll ERP product, gathering requirements, designing data models and APIs, and guiding development on PostgreSQL, ClickHouse, Spark and Kafka.
Data Engineer
Designs and optimizes SQL/PLSQL code for reporting and ETL in Oracle, Redshift, and Cloudera, primarily for airline data.
Senior Data Scientist
Senior Data Scientist building production-grade AI/ML/NLP solutions in healthcare, focusing on LLMs, event-driven data pipelines, and scalable ML systems using Python, SQL, and AWS services while collaborating with clinical stakeholders.
Data engineer
Builds and maintains enterprise-scale data pipelines and ETL/ELT workflows, integrating structured/unstructured data across platforms using Python, SQL, and cloud tools like AWS.
Senior Data & Analytics Engineer
Own a modern data platform and BI layer for aviation climate-tech, building scalable pipelines, semantic models, and customer-facing analytics in Databricks, Microsoft Fabric, and Power BI.
BI Developer
Designs and maintains ETL pipelines, data warehouses, and dashboards to turn raw data into business insights, using SQL, Python, Spark, and BI tools like Power BI or Tableau.
Data Analyst - HRIS
6-month contract Data Analyst supporting a Workday HRIS implementation, focused on hands-on data migration—extracting, cleaning, and transforming HR/payroll/T&A data using SQL and ETL processes.
Cloud Data Engineer II
Designs and automates cloud-based data pipelines, ELT workflows, and analytics solutions for a fintech company, ensuring scalability, security, and performance while supporting CI/CD and troubleshooting infrastructure issues.
Data Analytics Engineer
Builds and maintains data pipelines, models, and analytics to support risk analysis and reporting in a fintech environment, optimizing data flow and infrastructure for scalability.
Senior Data Engineer
Builds and maintains ETL/ELT pipelines to integrate messy client data into a data warehouse, bridging engineering and consulting for health/social/education projects.
Sr. Data Scientist, Marketing
Senior Data Scientist in Pinterest’s marketing team builds statistical models and measurement frameworks to optimize ad revenue, using Python/R, SQL, and causal inference to guide budget allocation and growth strategies.
Data Engineering & AI - FinTech Investments / Unstructured Data
Builds and maintains data pipelines for ingesting, parsing, and structuring unstructured financial data (PDFs, HTML, XBRL) while integrating LLM-powered AI systems for retrieval and analytics in a FinTech context.