970 IT & Software Developer jobs in the US
Senior Data Engineer, Enterprise Platform
$250,800 - 286,200
Capital One
Park Avenue 299, New York
$250,800 - 286,200
Requirements
Must:
- Bachelors Degree
- Minimum of 6 years of experience in application development (internship experience not considered)
- At least 2 years of experience in big data technologies
- A minimum of 1 year of experience with cloud computing (AWS, Microsoft Azure, Google Cloud)
- Masters Degree (preferred)
- Over 9 years of experience in application development including proficiency in Python, SQL, Scala, or Java (preferred)
- More than 4 years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) (preferred)
- Over 5 years of experience with distributed data/computing tools (e.g., MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) (preferred)
- Minimum of 4 years of experience working on real-time data and streaming applications (preferred)
- At least 4 years of NoSQL implementation experience (Mongo, Cassandra) (preferred)
- A minimum of 4 years of data warehousing experience (Redshift or Snowflake) (preferred)
- Over 4 years of experience with UNIX/Linux, including basic commands and shell scripting (preferred)
- At least 2 years of experience with Agile engineering practices (preferred)
Responsibilities
- Collaborate with Agile teams to design, develop, test, implement, and support technical solutions utilizing full-stack development tools and technologies
- Lead a team of developers who have substantial expertise in machine learning, distributed microservices, and full-stack systems
- Use programming languages such as Java, Scala, Python, and leverage Open Source RDBMS and NoSQL databases, alongside cloud-based data warehousing services like Redshift and Snowflake
- Share enthusiasm for staying informed on tech trends, experimenting with new technologies, engaging in technology communities, and mentoring fellow engineers
- Work alongside digital product managers to deliver robust cloud-based solutions that provide impactful experiences, empowering millions of Americans financially
- Conduct unit tests and collaborate with team members to ensure code is meticulously designed, elegantly executed, and optimized for performance
Description
At Capital One, we thrive on innovation and technology, striving to solve complex business challenges in an agile, inclusive, and fast-paced environment. Our Enterprise Platforms Technology (EPTech) team plays a vital role in implementing technology solutions across the organization and promotes best practices in our field. We offer a competitive and inclusive benefits package supporting your overall well-being. Our roles are available in multiple locations; the expected salary range for the Sr. Lead Data Engineer position in New York, NY is $250,800 - $286,200. We invite applications for this exciting opportunity as we prioritize equal opportunity and a diverse workplace.
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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 970 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?
Jump, Gatekeeper Systems Inc, Deighton Associates Ltd., CoveySoft Technology Group, Besnard Information Services, TsunadeQ Systems, IgnoMail Network Services among others, are currently hiring for Data roles in the United States.
The company with most openings is Capital One as they are hiring for 178 different Data Engineer jobs in the United States. They are probably quite committed to find good Data Engineers.
The company with most openings is Capital One as they are hiring for 178 different Data Engineer jobs in the United States. They are probably quite committed to find good Data Engineers.