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U.S. Financial Technology · 12 hours ago

Senior Data/AI Engineer

United States

Full-time

Remote

Senior Level

$142K/yr - $165K/yr

5+ years exp

U.S. Financial Technology is seeking an experienced Senior Data/AI Engineer to join their team of talented professionals. The role involves solution engineering of enterprise scale data management best practices, building scalable distributed systems, and developing data integration tasks in the data and analytics space.

Financial ServicesInformation TechnologySecurity

Comp. & Benefits

No H1B

Responsibilities

Demonstrate ability in implementing data warehouse solutions using modern data platforms such as Snowflake, Databricks or Redshift

Build data integration solutions between transaction systems and analytics platforms

Expand data integration solutions to ingest data from internal and external sources and to further transform as per the business consumption needs

Develop tasks for a multitude of data patterns, e.g., real-time data integration, advanced analytics, machine learning, BI and reporting

Fundamental understanding of building of data products by data enrichment and ML

Act as a team player and share knowledge with the existing team members

Qualification

AWS servicesData integration solutionsData warehouse solutionsMachine learning frameworksPythonSQLData pipelinesCloud-based platformsData securityAnalytical skillsCommunication skillsInterpersonal skillsOrganizational skills

Required

Bachelor's degree in computer science or a related field

Minimum 5 years of experience in building data driven solutions

At least 3 years of experience working with AWS services

Applicants must be authorized to work in the US without requiring employer sponsorship currently or in the future. U.S. FinTech does not offer H-1B sponsorship for this position

Expertise in real-time data solutions, good-to-have knowledge of streams processing, Message Oriented Platforms and ETL/ELT Tools

Strong scripting experience using Python and SQL

Working knowledge of foundational AWS compute, storage, networking and IAM

Understanding of Gen AI models, prompt engineering, RAG, fine tuning and pre-tuning will be a plus

Solid scripting experience in AWS using Lambda functions

Hands-on experience with popular cloud-based data warehouse platforms such as Redshift and Snowflake

Experience in building data pipelines with related understanding of data ingestion, transformation of structured, semi-structured and unstructured data across cloud services

Knowledge and understanding of data standards and principles to drive best practices around data management activities and solutions

Experience with one or more data integration tools such as Attunity (Qlik), AWS Glue ETL, Talend, Kafka etc

Strong understanding of data security – authorization, authentication, encryption, and network security

Strong written and verbal communication skills to facilitate meetings and workshops to collect data, functional and technology requirements, document processes, data flows, gap analysis, and associated data to support data management/governance related efforts

Acts with integrity and proactively seeks ways to ensure compliance with regulations, policies, and procedures

Demonstrated ability to be self-directed with excellent organization, analytical and interpersonal skills, and consistently meet or exceed deadline deliverables

Strong understanding of the importance and benefits of good data quality, and the ability to champion results across functions