456 IT & Software Developer jobs in the US

Capital One jobs

Senior Data Engineer, Enterprise Platforms

$144,200 - 181,000
Capital One
McLawhorne Drive 561, Newport News
$144,200 - 181,000
Company Size icon
Company Size
5k+
Company Type icon
Company Type
Product
Exp Level icon
Exp Level
Senior
Job Type icon
Job Type
Full-Time
Language icon
Language
English
Visa sponsorship icon
Visa sponsorship
No

Requirements

Must:
- Bachelors Degree - Minimum of 3 years of experience in application development (internship experience is not considered) - At least 1 year of experience with big data technologies - Preferred: 5 years of experience in application development with Python, SQL, Scala, or Java - Preferred: 2 years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) - Preferred: 3 years of experience with distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) - Preferred: 2 years of experience on real-time data and streaming applications - Preferred: 2 years of NoSQL implementation experience (Mongo, Cassandra) - Preferred: 2 years of data warehousing experience (Redshift or Snowflake) - Preferred: 3 years of UNIX/Linux experience including basic commands and shell scripting - Preferred: 2 years of Agile engineering practices experience

Technologies

Redshift
Big Data
Hive
Machine Learning

Responsibilities

- Collaborate within Agile teams to design, develop, test, implement, and support technical solutions using full-stack development tools and technologies - Work alongside a team of developers with expertise in machine learning, distributed microservices, and full-stack systems - Use programming languages such as Java, Scala, Python, and engage with open-source RDBMS and NoSQL databases along with cloud-based data warehousing services like Redshift and Snowflake - Share enthusiasm for staying current with technology trends, experimenting with new technologies, connecting with internal and external technology communities, and mentoring peers in the engineering field - Partner with digital product managers to deliver robust cloud-based solutions that enhance user experiences and empower millions of Americans financially - Conduct unit tests and collaborative reviews with team members to ensure high standards for design, code quality, and performance optimization

Description


At Capital One, we pride ourselves on being a dynamic and innovative company that fosters a collaborative, inclusive, and fast-paced working environment. As a Senior Data Engineer within our Enterprise Platforms Technology team, youll play a pivotal role in transforming our technological framework while contributing to vital enterprise platforms. We value your expertise and passion for marrying data with cutting-edge technologies and believe in supporting your professional growth. Our comprehensive and competitive benefits package, along with a performance-based incentive structure, reflects our commitment to your total well-being. We are located in McLean, VA, and Richmond, VA, and we invite you to explore joining our diverse and dynamic workforce where your ideas can contribute to meaningful change.
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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 456 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, Confidential, D3 Security Management Systems, Theragraph Inc., LawDepot, Ironclad TEK Inc., Uptimecrew 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 22 different Data Engineer jobs in the United States. They are probably quite committed to find good Data Engineers.