James Shen

Data Engineer (with Salesforce experience) - Hybrid: Our direct client, a fast-growing FinTech firm in New York City, is looking for a Data Engineer to join the Data and Analytics team. This role will help build the infrastructure to make data a central part of the firm. Data driven decisions are very critical for the business, as a result, we are looking for an Engineer that will be able to use the ata and understand it to help make actionable decisions. The ideal candidate can quickly grasp complex and fluid business problems and solve them with robust and creative analyses after having built a highly performant and scalable infrastructure to warehouse the data. 2 or 3 days onsite work in the NYC midtown office is required.  Base salary is in the $120-150K range DOE, plus generous bonus and stock options.  Responsibilities

• Leverage open-source technologies and cloud solutions to build elegant features that users love. 
• Develop and automate large scale, high-performance data platform infrastructure to drive the business growth and enable data-driven organization. 
• Design and develop reusable components and frameworks for ingestion, cleansing, and data quality. 
• Streamline the ingestion of raw data from various sources into our Data Lake and Data Warehouse. 
• Design data models for optimal storage and retrieval that represent the product entities and meet business requirements. 
• Design and develop in Salesforce and Apex to automate processes and meet a variety of business needs. 
• Coordinate closely with sales and product development teams daily to push firm’s strategy and improve the overall profitability of our business. 

Qualifications

• Bachelor’s or Master’s degree in computer science, data science, mathematics, statistics or other quantitative area or related field 
• 1-4 years of experience with open-source technologies or object-oriented/functional programming, strong ability to write easy-to-scale, and high-quality code 
• Experience in at least one numeric research framework (python/pandas, R/Splus, Octave/Matlab) 
• Familiar with OLAP (Redshift, Snowflake) and OLTP (PostgreSQL, MongoDB) databases 
• Familiar with various database designs (Relational, Columnar, NoSQL) 
• Experience with Salesforce development, Apex, and working with Apex classes, batching, bulk processing, triggers, events and event buses, and writing test classes 
• Experience using probability/statistics 
• Detail-oriented, able to multitask, and work in a fast-paced environment 
• Passionate about programming and cutting-edge technologies 
• Professional experience with Python and JVM based languages such as Scala, Java, and Kotlin is preferred 
• Experience building data-pipelines, data-lakes and data warehouses is preferred 
• Good knowledge of financial markets and financial instruments is preferred 
• Experience with AWS solutions such as Lambda, S3, Kinesis, ElastiCache is preferred 
• Familiar with AWS and infrastructure-as-code (terraform or cloud formation) is preferred 
• Familiar with the use and restrictions of PII data for analysis, research, development, and testing is preferred 

Data Engineer (ML) – Hybrid: Our direct client, a fast-growing FinTech firm in New York City, is looking for a Data Engineer.  In this role, you will work with Sales, Marketing, and Product teams to define, calculate, and grow their key operating metrics (e.g. sales, conversions, retention). This individual will conduct exploratory data analysis, statistical analysis, and predictive modeling of the data.  At a technical level, this role will create data models in dbt, perform EDA in Pandas, build ML models and libraries in Python, and visualize success metrics in Tableau, all in about equal proportion.  This role blends data engineering, data analytics and data science.  The current technical stack includes Snowflake, dbt, Python and Tableau. This position sits within the Analytics team of the broader Data & Analytics department and works closely with our Data Engineering, Business Intelligence, and Machine Learning teams. 2 or 3 days onsite work in the NYC midtown office is required.  Base salary is in the $140-160K range DOE, plus generous bonus and stock options.  Responsibilities

• Write SQL (in dbt) to transform, validate, enrich, and aggregate our data. 
• Iterate on ML model development (model selection/evaluation, feature engineering, hyperparameter tuning). 
• Develop ML libraries to accelerate development workflow (versioning, tracking, visualization, and explainability). 
• Conduct and interpret statistical analyses (hypothesis tests, regression, PCA, etc.). 
• Visualize key performance metrics within Tableau. 
• Work with our Data Engineering, Business Intelligence and Machine Learning teams on data infra, dashboards and ML models. 
• Participate in our support rotation and SDLC release process. 

Qualifications

• Very proficient in SQL and data modeling 
• Very proficient in Python 
• Proficient in software development (e.g. OOP, APIs, ORMs, deployment, testing) 
• Proficient in statistics, ML models and ML development 
• Experience with, or interest in learning, a BI tool 
• 4 to 6 years of experience in a data-related role 
• Bachelor’s degree or higher in computer science, mathematics, statistics, or related technical field 

AI/ML – NLP Engineer – Hybrid: Our direct client, a fast-growing FinTech firm in New York City, is looking for an AI/ML NLP Engineer.  The team is developing cutting edge solutions to establish a unique competitive edge for the firm. As a senior AI/ML - NLP Engineer on our team, you will be responsible for designing, developing, and implementing AI/ML models for natural language processing (NLP) applications. This would involve working with large datasets, selecting appropriate algorithms and techniques, training or fine-tuning models to achieve optimal performance, and deploying and monitoring model performance in production. You will be working in a collaborative team environment across product management, data engineering, and software engineering teams. If you are passionate about leveraging machine learning techniques to drive innovation and have a strong background in developing scalable solutions, we would love to hear from you. 2 or 3 days onsite work in the NYC midtown office is required.  Base salary is in the $160-200K range DOE, plus generous bonus and stock options.  Responsibilities

• Design, develop, train, and deploy AI/ML models to solve business problems through a full development and production cycle in the FinTech domain. 
• Evaluate and compare the performance of different AI/ML algorithms and models. 
• Utilize and improve Machine Learning Operations (MLOps) pipelines and procedures to ensure efficiency, scalability, and maintainability. 
• Ensure the reliability, robustness, and scalability of machine learning models in production environments. 
• Collaborate with cross-functional teams, including product managers and full stack engineers, to deliver scalable machine learning solutions. 
• Understand business requirements, communicate with stakeholders, and mentor junior team members. 

Qualifications

• 4-6+ (mid-career) years of experience as a hands-on data scientist or AI/ML engineer in AI/ML/DS fields. 
• Advanced degree (Masters, PhD) in a relevant field (AI/ML/DS, mathematics, computer science, etc.).  
• Experience working with Large Language Models, such as GPT-4, Llama 2, and other commercial or open-source models in production environment.  
• Proficiency in programming languages commonly used in NLP, such as Python, and libraries/frameworks like TensorFlow, PyTorch, or spaCy and strong understanding of software engineering principles and best practices. 
• Strong knowledge of NLP techniques, including text data preprocessing (tokenization, stemming, and text normalization, etc.) and information extraction (summarization, and question answering, etc.) 
• Knowledge of machine learning algorithms and statistical techniques, their limitations and implementation challenges 
• Experience with cloud platforms and distributed computing environments for NLP tasks, such as AWS, Google Cloud, or Azure 
• Experience with software development best practices, including source control (Git), CI/CD pipelines, testing, and documentation.   
• Excellent problem-solving skills and the ability to work independently and collaboratively in a fast-paced, agile environment. 
• Strong communication skills and the ability to effectively articulate technical concepts to both technical and non-technical audiences. 

Nice to Haves:

• Publications, conference talks, and/or patents in AI/ML/DS or related fields 
• Experience with data visualization tools and techniques to effectively communicate and present findings. 
• Experience with data transformation tool (such as dbt) and orchestration tool (such as Airflow). 
• Portfolio of personal projects on Github, BitBucket, Google Colab, Kaggle, etc. 
• Experience working in Finance or Financial Technology (FinTech). Understanding of regulatory and compliance requirements in the financial industry and their implications for machine learning applications. 

Sr. DevOps/SRE  – Hybrid: Our direct client, a fast-growing FinTech firm in New York City, is looking for a Senior DevOps/SRE Engineer to develop and maintain the production and development environments for a multi-party application. This role will utilize strong DevOps principles and advanced cloud capabilities to facilitate the infrastructure and automated CI/CD for a distributed ledger platform. The ideal candidate is a highly collaborative, creative, and intellectually curious DevOps Engineer. The person in this role should have solid experience in Site Reliability Engineering and is passionate about forming and implementing cutting-edge cloud computing capabilities.  2 or 3 days onsite work in the NYC midtown office is required.  Base salary is in the $160-200K range DOE, plus generous bonus and stock options.    Responsibilities 

• Design, implement, and manage AWS cloud infrastructure using Terraform and CloudFormation. 
• Develop and maintain CI/CD pipelines using GitLab for seamless code deployment and integration. 
• Collaborate with blockchain engineers to ensure optimal performance and security of the distributed ledger technology (DLT). 
• Monitor system performance using Grafana, Prometheus, and Datadog, and proactively address system issues. 
• Ensure high availability and reliability of the application across the end-to-end tech stacks. 
• Collaborate with cross-functional teams to understand needs and deliver solutions that meet business objectives. 
• Lead and mentor junior team members, fostering a culture of continuous learning and improvement. 

  Qualifications 

• 8+ years of experience in DevOps, TechOps, or SRE, including at least 5 years working with AWS 
• Strong desire to experience microservices in a production environment, particularly with Docker and Kubernetes 
• Strong Linux OS-level, command-line and scripting knowledge (e.g., Bash, Python), and configuration management principles 
• Applicants should have a working knowledge of databases such as MongoDB, Postgres, and DynamoDB 
• Experience in architecting, implementing, and managing monitoring tools such as Prometheus/Grafana, CloudWatch, Splunk, Datadog, NewRelic, and ELK in the cloud 
• Experience with compute provisioning on Cloud-based platforms using Terraform and/or CloudFormation 
• Exceptional analytical skills, able to apply knowledge and experience in decision-making to arrive at creative and commercial solutions 
• Experience in building a Microservice-based architecture 
• Excellent verbal and written communication skills 
• Able to design and implement complex, but easily managed, automated infrastructure 
• A desire to share knowledge, teach, and learn as part of a collaborative team 
• AWS certifications are a plus 
• Experience developing or integrating with blockchain applications is preferred, but not required