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Position Overview: We are building our enterprise data platform from the ground up, and we are looking for a Senior Data Platform Engineer to partner directly with our Data Architect to turn a greenfield vision into an…
Lead the design and build of SimplePractice’s data infrastructure—pipelines, warehousing, and semantic layers—to power analytics, reporting, and AI across the company and for clinicians.
Builds and maintains Helicap’s Private Credit Investment and Credit Analytics platforms, focusing on scalable Go/Java services, cloud infrastructure, and data-intensive financial analytics.
Lead a cross-functional team to build and enhance a data ingestion and entity resolution platform using Python, Java, Scala, and big data tools like Spark and Kafka.
Data analyst builds and maintains analytical data marts, writes SQL for PostgreSQL, documents data flows, and collaborates with clients and data engineers.
Build and maintain real-time data pipelines using CDC, Kafka, Spark, and Iceberg to move and transform enterprise data across Bronze-Silver-Gold layers.
Builds data models and pipelines for connected-vehicle analytics, using Python, PySpark, SQL and cloud tools to extract insights and power Targa’s mobility products.
Build and scale Flo’s GenAI platform: LLM judges, fine-tuning pipelines, evaluation frameworks, and real-time personalization for a women’s health app used by 80M+ monthly users.
Middle data analyst builds and maintains analytical data marts, writes SQL for PostgreSQL, documents data flows, and collaborates with engineers and business stakeholders.
Design and maintain ETL pipelines that pull data from public APIs into Azure Blob and SQL databases, ensuring clean, reliable data for analytics and reporting.
Build and maintain AI-driven analytics infrastructure for a quantitative investment firm, standardizing research pipelines and optimizing distributed SQL engines like Presto/Spark.
Build and maintain AI-driven analytics infrastructure for a quantitative investment firm, standardizing data pipelines and optimizing distributed SQL engines to support research and trading strategies.
Maintains and optimizes PostgreSQL, MySQL, and Oracle databases for a quantitative investment firm applying AI/ML to finance, ensuring reliability, performance, and security.
Build and maintain AWS-based ETL pipelines that ingest Salesforce data into a Parquet-backed enterprise data lake, optimize Athena queries, and manage Redshift/Glue infrastructure using Terraform.
Build AI-powered weather-analysis systems that blend sparse observations into high-resolution forecasts using PyTorch/TensorFlow and HPC clusters.
Implementation Business Analyst at State Street to gather requirements, map financial data flows, and guide clients through integrating investment data into Alpha Data services using SQL, ETL, and Agile methods.
Build and maintain CI/CD pipelines, automate deployments, and support Kubernetes/OpenShift for scalable, secure financial applications using Python, Shell, and observability tools.
Build and optimize Amazon Athena’s serverless SQL query engine, solving distributed systems challenges to deliver fast, scalable analytics for millions of users.
Design and validate enterprise data platforms using open table formats (Iceberg), object storage, lakehouse architectures, governance, and streaming pipelines to support AI-ready analytics and compliance.
Build and maintain scalable data pipelines and cloud infrastructure to deliver reliable, analytics-ready datasets for merchandising, supply chain, marketing, and e-commerce teams using Spark, Airflow, and modern data platforms.
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