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Build and maintain full-stack applications using Node.js and Python for backend, Angular for frontend, and AWS services like Lambda, API Gateway, and Redshift.
A Lead Data Infrastructure Engineer at Stellic owns the design and operation of the company's data platform, building scalable data pipelines and customer-facing data systems to support student education insights and scale, using technologies like dbt, Airflow, S3, and Redshift.
Build and scale a Node.js backend and React frontend for an early-stage SaaS product, applying microservice lessons to clean system design and collaborating closely with founders.
Lead Data Engineer responsible for building and evolving the data stack from pipelines to platform, creating infrastructure for product intelligence, financial reporting, and self-serve analytics using technologies like Snowflake, DBT, Airflow, and AWS.
Builds and maintains ETL/ELT pipelines and a cloud data warehouse (e.g., Snowflake/BigQuery) from scratch, ensuring data accuracy, scalability, and usability while collaborating with cross-functional teams.
A Senior Data Engineer at DEPT® who translates business goals into concrete solutions, designs data systems and pipelines, and works with various databases and cloud platforms.
Remote Senior SQL+Python Developer (Data Engineer) at 8allocate, staffed onto a NYC-based fintech client building bond/MBS analytics. The role is ~90% SQL and 10% Python, focusing on implementing and documenting MBS loan and securitized products data systems.
The Staff Data Engineer at Commonwealth Bank will design and build scalable cloud-native data products, platforms, and pipelines that power customer engagement, CRM experiences, operational intelligence, and AI-enabled solutions. They'll work with emerging Generative AI and agentic AI capabilities, influence data architecture, and establish engineering standards across Business Banking.
Designs and builds scalable data pipelines and cloud data platforms to process high-volume financial transactions using Python, Spark, and AWS.
Data Engineer to work onsite in Springfield, VA supporting a government contract, focusing on data ingestion, pipeline development, cloud deployment, database architecture, streaming data processing, workflow orchestration, and AI/ML integration using Python, AWS/Azure, Kafka, Airflow, and various database technologies.
Data Engineer focused on SAP BW/BW4HANA Data Warehouse and BI projects within a large IT consulting firm, working with clients to implement and maintain data solutions using SAP ecosystem tools.
Data Engineer building and maintaining data pipelines, integrating data from multiple sources, and ensuring data quality on an AWS-based stack including SQL, Python, Redshift/Snowflake, Airflow, and dbt.
Develops and maintains Java-based RESTful APIs and data pipelines for AI-driven enterprise solutions, integrating AWS services and ensuring compliance with regulatory standards.
Leads data science initiatives for global clients, designing ML models, deploying solutions on AWS, and mentoring teams to deliver measurable business value through end-to-end analytics.
Transforms raw data into reliable, documented analytical assets by designing data models, building ETL/ELT pipelines with dbt/Dataform/Airflow, and ensuring data quality/governance in cloud environments (Snowflake, BigQuery, Redshift, Azure Synapse).
Own and scale the analytics layer for a production finance platform, building ETL pipelines, governed data models, and self-serve tools using SQL, Python, and dbt.
Leads AI/ML projects for a global consulting firm, designing predictive models, ETL workflows, and data pipelines to solve high-stakes business challenges (e.g., cost reduction, revenue growth) using Python, SQL, and cloud tools like AWS/Azure.
Lead AI/ML projects for a global consulting firm, building predictive models, ETL pipelines, and dashboards to drive client outcomes in high-stakes business scenarios.
A Data Engineer (Junior or Semi Senior) designs and develops data pipelines, integrates internal/external data sources, ensures data quality and availability, optimizes ETL processes, and documents datasets, using AWS (Glue, S3, Redshift, etc.), SQL, Python, PySpark, Spark, and Git.
Risk Data Engineer at Oka (Hiraoka's fintech) in Peru, building credit decision engines, real-time data architectures on AWS, and risk features using SQL and Python.
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