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Senior Data Engineer - ETL (Apache Airflow AND/OR Dagster AND/OR Apache Nifi)
110,000 - 190,000 USD
Amex
North 56th Street 18850, Phoenix
110,000 - 190,000 USD
Requirements
Must:
- I must have experience in Cyber Analytics, infrastructure technology, big data technology, security event monitoring, or a combination thereof.
- I should have 5+ years of database development experience in a professional environment or hold a Bachelor's Degree in Software Engineering, Computer Science, Mathematics, or Information Systems.
- Hands-on expertise in design and development for at least one of the RDBMS databases such as Oracle, MS SQL Server, or PostgreSQL is required.
- I must possess hands-on expertise in design and development for at least one of the MPP Stores such as HIVE, Greenplum, or Teradata.
- Experience with Python programming is essential, including familiarity with frameworks such as Django, Flask, or FastAPI.
- Proficiency in a Kubernetes DevOps environment is preferred.
- Experience with NoSQL data stores such as Apache Solr or ElasticSearch is required.
- I should have proficiency in at least one of the ETL solutions such as Dagster, Apache Airflow, or Apache Nifi.
- Familiarity with messaging brokers such as Kafka or RabbitMQ is a plus.
- Cloud technical certifications from AWS, GCP, or Azure would be preferred.
Responsibilities
- I will provide technical or analytical guidance for building various IT asset inventories around servers, EUCs, network devices, K8s clusters, and Cloud Service offerings.
- I will enable informed decision-making by guiding the verification of the completeness, accuracy, and relevance of IT Asset Management data.
- I will support data analysis activities for IT Asset Management data, demonstrating familiarity with various IT infrastructure deployment patterns, both on-premises and with Cloud Service Providers.
- I will be responsible for evaluating and automating the asset inventory data collection framework, and I should be capable of building unit test cases and performing performance testing on my solutions.
- I will develop and debug complex code, conduct code reviews, and mentor other developers on coding standards in alignment with best practices.
Description
At American Express, we celebrate that when you join our team, you become part of a global and diverse community committed to our customers, communities, and each other. Here, you'll not only learn and grow but also have the opportunity to create a meaningful career journey supported by a variety of benefits and flexibility.
As part of our tech team, I can architect, code, and ship software that becomes essential in our customers' digital lives. I will have the chance to collaborate with talented engineers in an inclusive environment, where my voice is valued, and I can make decisions on tech solutions to tackle challenging problems. We also encourage the professional development of our team members by allowing dedicated time for skill enhancement.
Joining American Express means being recognized for my contributions and leadership, working under the promise of providing the world’s best customer experience every day, with integrity and a sense of belonging for everyone. We offer a competitive salary range of $110,000.00 to $190,000.00 annually, plus bonuses and benefits. I will have access to a supportive benefits program that prioritizes my holistic well-being, including competitive salaries, retirement savings contributions, medical and dental coverage, flexible working models, and comprehensive parental leave.
I understand that American Express is an equal opportunity employer, and I will be supported in my professional and personal endeavors through our Amex Flex working model, which provides flexibility while preserving our in-person culture.
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You can find Data Engineer salaries in the United States here.
How many Data Engineer jobs are in the United States?
Currently, there are 2134 Data openings. Check also: Spark jobs, Snowflake jobs, Kafka jobs, Hadoop jobs - all with salary brackets.
Is the US a good place for Data Engineers?
The US is one of the best countries to work as a Data Engineer. It has a vibrant startup community, growing tech hubs and, most important: lots of interesting jobs for people who work in tech.
Which companies are hiring for Data Engineer jobs in the United States?
Capgemini, DataAnnotation, Havi Supply Chain, TherapyNotes.com, SciTec, Election Systems & Software, LGS, une Société IBM / an IBM Company among others, are currently hiring for Data roles in the United States.
The company with most openings is Leidos as they are hiring for 464 different Data Engineer jobs in the United States. They are probably quite committed to find good Data Engineers.
The company with most openings is Leidos as they are hiring for 464 different Data Engineer jobs in the United States. They are probably quite committed to find good Data Engineers.