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Form of workAbout AML RightSource
We are AML RightSource, the leading technology-enabled managed services firm focused on fighting financial crime for our clients and the world. Headquartered in Cleveland, Ohio, and operating across the globe, we are a trusted partner to our financial institution, FinTech, money service business, and corporate clients.
Using a blend of highly trained anti-financial crime professionals, cutting-edge technology tools, and industry-leading consultants, we help clients with their AML/BSA, transaction monitoring, client onboarding (KYC), enhanced due diligence (EDD), and risk management needs.
We support clients in meeting day-to-day compliance tasks, urgent projects, and strategic changes. Globally, our staff of more than 4,000 highly trained analysts and subject matter experts is the industry's largest group of full-time compliance professionals. Together with our clients, we are Reimagining Compliance.
About the Position
As a Senior Data Engineer, you will have a strong background in Data Engineering, with expertise in designing scalable and robust data pipelines, data modeling, and optimizing data storage and retrieval processes.
We have a culture of continuous learning and improvement and have some really interesting problems to solve that can make a big difference in the world, so you’ll have plenty of opportunities to learn new things and develop in your career.
Primary Responsibilities
- You will be responsible for designing, developing, and managing our data architecture.
- You’ll be collaborating closely with your team members to help design simple solutions to real business problems.
- You’ll be writing clean, maintainable and well-tested code that follows best practices.
- You will be providing technical leadership and guidance to the rest of your team.
Required Qualifications
- Excellent systems design skills, with knowledge of best practices across performance, reliability, scaling, distributed systems, data modeling, testing, compliance and security within the Data Engineering domain.
- Experience working with ETL/ELT and building data pipelines (including data preparation, data storage, algorithmically complex computational methods, the delivery of results to end users and orchestration).
- Experience operating data-intensive distributed systems using observability best practices.
- Experience working with machine learning, artificial intelligence, natural language processing and similar capabilities in a big data environment.
- Proven experience working with Data Engineering technologies such as Hadoop, Spark, Hive, HBase, MapReduce, Elasticsearch/OpenSearch, Airflow etc.
- Experience working with large scale distributed data stores, SQL & NoSQL databases.
- Fluent in Python
- Excellent communication and collaboration skills.
- Strong sense of accountability across all areas of responsibility.
- Always focused on the business needs and able to work iteratively towards solutions.
- Degree in Computer Science or similar.
AML Rightsource is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
