Cloud Data Engineer at Federal Reserve Bank of Cleveland in Remote
About the Opportunity The Enterprise Logging, Monitoring and Analytics has an immediate opening for a Cloud Data Engineer position reporting to Assistant Vice President. The Federal Reserve System's cloud provides a centralized logging platform housing advanced analytics solution for business lines in the Federal Reserve System. We work with state-of-the-art technologies that are part of the next generation data ecosystem, which includes services used for data storage, processing, integration and data analytics. A high-level goal of this position is to participate in engineering and product architecture. You will work cross-functionally with other architects, product managers, design engineers, developers, operations, and product owners in a rapidly evolving environment. As a Cloud Data Engineer, you will be accountable for secure and scalable designs that meet business needs. As part of the National IT team, our cloud logging, monitoring, and analytics team works with multiple business lines and IT groups from Federal Reserve System districts. You will have an opportunity to showcase your critical thinking and technical skills across many disciplines and across the Federal Reserve System. This role will be instrumental in shaping the direction of enterprise data. What You Will Do:
Develop enterprise logging solution and analytics capabilities by leveraging AWS native and 3rd party vendor products Design and implement high velocity streaming capabilities leveraging AWS Kinesis, SQS and SMS Implement ad-hoc analysis solutions using Athena Design integrated solutions in alignment with design patterns, blueprints, guidelines, and standard methodologies for products Demonstrate leadership, collaboration, exceptional communication, negotiation, strategic and influencing skills to gain consensus and produce the best solutions Engage with Senior leadership, business leaders at the Federal Reserve and the Board to share the business value.
Qualifications:
Bachelor's degree in Computer Science, Management Information Systems, Computer Engineering, or related field or equivalent work experience; advance degree preferred Seven or more years of experience in designing and building large-scale solutions in an enterprise setting or both Three years in designing and building solutions in the cloud Hands-on experience with Airflow, VPC/SG, EC2, S3, AutoScaling, CloudFormation, Kinesis,Redshift, RDS, Aurora, DynamoDB, CloudTrail, CloudWatch, Docker, Lambda, Spark, Glue Must have a strong background or demonstrate sufficient knowledge of networking and security in a cloud environment Experience with leveraging CI/CD pipelines Hands on experience in one or more languages such as Java, JavaScript, Spark, PySpark and Python scripting Strong background in data structures, networking, performance, and scalability. Microservices experience is strongly preferred Experience with Agile methodologies and able to work in an Agile manner is preferred One or more cloud certifications
Salary Range:
$100K -- $150K
Minimum Qualification
Data Science & Machine LearningEstimated Salary: $20 to $28 per hour based on qualifications.
Develop enterprise logging solution and analytics capabilities by leveraging AWS native and 3rd party vendor products Design and implement high velocity streaming capabilities leveraging AWS Kinesis, SQS and SMS Implement ad-hoc analysis solutions using Athena Design integrated solutions in alignment with design patterns, blueprints, guidelines, and standard methodologies for products Demonstrate leadership, collaboration, exceptional communication, negotiation, strategic and influencing skills to gain consensus and produce the best solutions Engage with Senior leadership, business leaders at the Federal Reserve and the Board to share the business value.
Qualifications:
Bachelor's degree in Computer Science, Management Information Systems, Computer Engineering, or related field or equivalent work experience; advance degree preferred Seven or more years of experience in designing and building large-scale solutions in an enterprise setting or both Three years in designing and building solutions in the cloud Hands-on experience with Airflow, VPC/SG, EC2, S3, AutoScaling, CloudFormation, Kinesis,Redshift, RDS, Aurora, DynamoDB, CloudTrail, CloudWatch, Docker, Lambda, Spark, Glue Must have a strong background or demonstrate sufficient knowledge of networking and security in a cloud environment Experience with leveraging CI/CD pipelines Hands on experience in one or more languages such as Java, JavaScript, Spark, PySpark and Python scripting Strong background in data structures, networking, performance, and scalability. Microservices experience is strongly preferred Experience with Agile methodologies and able to work in an Agile manner is preferred One or more cloud certifications
Salary Range:
$100K -- $150K
Minimum Qualification
Data Science & Machine LearningEstimated Salary: $20 to $28 per hour based on qualifications.
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