We’re looking for a Data Engineer to join a dynamic and rapidly growing company specializing in developing advanced fraud detection services for the finance industry.
Leveraging cutting-edge technologies, we empower financial institutions to safeguard their operations against fraudulent activities.
As a Data Engineer specializing in fraud detection services, you will play a pivotal role in our technology team, focusing on building robust data pipelines and scalable infrastructure within a Hadoop environment.
You will work closely with data scientists, software engineers, and analysts to ensure efficient data ingestion, processing, and integration, ultimately contributing to the development of innovative fraud detection algorithms and services.
Unfortunately this role cannot provide visa sponsorship now or in the future or be considered for 1099 work. Required Skills & Experience
- Design, develop, and maintain scalable data pipelines and ETL processes using both Java and Python within a Hadoop ecosystem (HDFS, Hive, Spark, .
- Implement data integration solutions to ingest large volumes of structured and unstructured data from various sources into our analytics platforms.
- Collaborate with cross-functional teams to understand data requirements, translate them into technical specifications, and deliver high-quality data solutions.
- Optimize data pipelines for performance, reliability, and scalability, considering best practices in data engineering and software development.
- Monitor and troubleshoot data pipelines, ensuring data quality and integrity throughout the process.
- Explore and implement new tools and technologies to enhance data processing efficiency and analytics capabilities.
Desired Skills & Experience
- Experience with real-time data processing frameworks (Kafka, Flink, .
- Knowledge of machine learning concepts and frameworks (TensorFlow, PyTorch, .
- Familiarity with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes)
The Offer
Bonus eligible
You will receive the following benefits :
- Medical Insurance
- Dental Benefits
- Vision Benefits
- Paid Time Off (PTO)
- 401(k) including match- if applicable
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
LI-EM1
Senior Data Engineer, Card Tech
Senior Data Engineer, Card Tech. As a Capital One Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One. Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing ...
Senior Data Engineer
...
Data Engineer Senior - Enterprise Data Management - Analytics Competency Center - Data Engineering
As a Data Engineer Senior within PNC's Enterprise Data Management organization, you will be based in Pittsburgh-PA, Cleveland-OH, Birmingham-AL, Downers Grove-IL, Chicago-IL. Lead data requirement analysis and the data preparation process to streamline big data solutions using data virtualization te...
Senior Data Infrastructure Engineer
Key Responsibilities:Plan database capacity and monitor usage trendsDesign and implement Highly Available cloud-based database systemsCreate migration plans for database servers with near zero downtimeRequired Qualifications:5+ years of experience in designing and managing secured, highly available ...
Azure Senior Data Engineer
Net, C#, Qlik, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Kinesis, QuickSight, SageMaker, S3, Databricks, AWS Lake Formation, Snowflake, Python, Qlik, Athena, Data Pipeline, Glue, Star Schema, Data Modeling, SQL, SSIS, SSAS, SSRS, PySpark, Microsoft ...
Senior Software Engineer - Data Infrastructure
Key Responsibilities:Design, implement, and maintain high-quality data infrastructure servicesDevelop robust DBT models and jobs for analytics reporting and machine learningCreate real-time streaming and offline ETL pipelines, and manage a secure data warehouseRequired Qualifications:Minimum 6 years...
Senior Data Engineer / Snowflake
The ideal candidate will have a strong background in data engineering, with experience in building and maintaining robust data pipelines, implementing data warehousing solutions, and ensuring data quality and reliability. We are looking for a skilled Data Engineer with expertise in utilizing various...
Senior Data Engineer
As a Senior Data Engineer on the MMA National IT Data and Analytics Team, we will count on you to develop and maintain scalable data pipelines, enhance data models, and provide subject matter expertise in data acquisition and consumption pipelines on Azure, Databricks and Confluent. In-depth underst...
Senior Data Engineer
As a Data Engineer specializing in fraud detection services, you will play a pivotal role in our technology team, focusing on building robust data pipelines and scalable infrastructure within a Hadoop environment. You will work closely with data scientists, software engineers, and analysts to ensure...
Cloud Data Engineer Senior Consultant
Net, C#, Qlik, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Kinesis, QuickSight, SageMaker, S3, Databricks, AWS Lake Formation, Snowflake, Python, Qlik, Athena, Data Pipeline, Glue, Star Schema, Data Modeling, SQL, SSIS, SSAS, SSRS, PySpark, Microsoft ...