Senior Software Engineer, Data Platform

🕒 April 14

🇺🇸 United States – Remote

💵 $170k - $240k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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SentiLink

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2017

🔐 Security

💳 Fintech

💸 Finance

💰 $70M Series B on 2021-08

Security • Fintech • Finance

SentiLink is a company that partners with leading financial institutions to tackle identity theft and fraud at the point of application. Their solutions incorporate expert analysis and machine learning models to identify and manage fraud effectively. SentiLink targets various types of fraud including synthetic, identity theft, and first-party fraud, and provides flexible integration options such as APIs to suit diverse customer needs. With a focus on data security and a customer-centric approach, SentiLink delivers real-time insights and solutions to financial institutions and fintech companies, enhancing their ability to approve legitimate customers while minimizing fraud.

📋 Description

• Build, expand, and optimize data infrastructure in order to create the most accurate dataset of identities and their relationships • Develop and operate secure, scalable, and reliable data ingestion and ETL/ELT pipelines that meet product requirements • Design and maintain a data observability framework to ensure our data meets strict quality and freshness standards • Optimize data storage layer and build/maintain interfaces to enable scalable and fast data access to our data stores • Collaborate with product teams (squads) supporting their data platform needs for smooth delivery of existing and new products • Participate in call rotation for production issues, along with the rest of engineering • Mentor junior engineers and contribute to our evolving engineering best practices • Drive innovation by actively participating in our hackathons and doing proof of concepts • Develop functional subject matter expertise within various areas of identity fraud domain

🎯 Requirements

• 5+ years of experience in software engineering, data engineering or related field • Proficient in in python or golang and related technologies and frameworks • Expertise in building and maintaining ETL/ELT pipelines at scale leveraging distributed data processing technologies like spark, hadoop, kafka or similar technologies • Hands-on experience with public cloud platforms such as AWS, Microsoft Azure or GCP • Deep understanding of different database technologies including but not limited to RDBMS (e.g. postgres), NoSQL (OpenSearch, vector DB), Columnar data stores etc. and experience with writing efficient queries and optimization techniques • Experience building enterprise grade, scalable, containerized data services and frameworks on Kubernetes or similar platforms • Working knowledge of Infrastructure-as-Code and devops practices • Excellent analytical and problem solving skills, interpersonal skills and a sense of humor (enjoy the journey) • Self organized and ability to work independently and with ambiguity • Experience working in a scrum / Agile development environment • Bonus points if you have: • Experience working with Spark/EMR • Built streaming applications • Experience with AWS technologies such as EKS, SQS/SNS, EMR, Redshift, S3 etc. • Prior experience working in a fintech startup • Candidates must be legally authorized to work in the United States and must live in the United States

🏖️ Benefits

• Employer paid group health insurance for you and your dependents • 401(k) plan with employer match (or equivalent for non US-based roles) • Flexible paid time off • Regular company-wide in-person events • Home office stipend, and more!