885 IT & Software Developer jobs in the US

Capital One jobs

Lead Data Engineer - Card Technology

$193,400 - 220,700
Capital One
Patriot Highway 9801, Fredericksburg
$193,400 - 220,700
Company Size icon
Company Size
5k+
Company Type icon
Company Type
Product
Exp Level icon
Exp Level
Lead
Job Type icon
Job Type
Full-Time
Language icon
Language
English
Visa sponsorship icon
Visa sponsorship
No

Requirements

Must:
- Bachelors Degree - Minimum of 4 years of experience in application development (Internship experience excluded) - At least 2 years of experience in big data technologies - At least 1 year of experience with cloud computing (AWS, Microsoft Azure, Google Cloud) - Preferred: Over 7 years of experience in application development, including Python, SQL, Scala, or Java - Preferred: Over 4 years of experience with public cloud services (AWS, Microsoft Azure, Google Cloud) - Preferred: Over 4 years of experience using distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, MySQL) - Preferred: Over 4 years of experience with real-time data and streaming applications - Preferred: Over 4 years of experience implementing NoSQL solutions (Mongo, Cassandra) - Preferred: Over 4 years of data warehousing experience (Redshift or Snowflake) - Preferred: Over 4 years of experience with UNIX/Linux systems, including basic commands and shell scripting - Preferred: At least 2 years of experience employing Agile engineering practices

Technologies

Redshift
Big Data
Hive
Machine Learning

Responsibilities

- Collaborate with Agile teams to design, develop, test, implement, and maintain technical solutions utilizing full-stack development tools and technologies - Work alongside a team of developers who have expertise in machine learning, distributed microservices, and full-stack systems - Employ programming languages such as Java, Scala, Python, as well as RDBMS and NoSQL databases - Utilize cloud-based data warehousing solutions like Redshift and Snowflake - Stay abreast of technology trends, engage in new technology exploration, participate in both internal and external tech communities, and mentor fellow engineering team members - Partner with digital product managers to deliver powerful cloud-based solutions that enhance financial empowerment for millions of Americans - Execute unit testing and conduct peer reviews to ensure your code is rigorously structured, elegantly crafted, and finely tuned for optimal performance

Description


At Capital One, we are dedicated to innovating and leading in the tech landscape. Our team is composed of forward-thinking individuals who tackle complex business challenges in a fast-evolving, collaborative, and inclusive workspace. We are seeking Data Engineers who are eager to integrate data with cutting-edge technologies. This position allows you to play a pivotal role in driving significant transformation within our organization. We offer a competitive salary range of $193,400 - $220,700 for the Lead Data Engineer position in McLean, VA, along with performance-based incentives and a comprehensive set of health and financial benefits to support your overall well-being.
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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 885 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 108 different Data Engineer jobs in the United States. They are probably quite committed to find good Data Engineers.