1000 IT & Software Developer jobs in the US

Capital One jobs

Lead Data Engineer, Enterprise Technology

$175,800 - 220,700
Capital One
Capital One Drive 15075, Goochland
$175,800 - 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 4 years of experience in application development (Internships do not count) - At least 2 years of experience in big data technologies - At least 1 year of experience with cloud computing (AWS, Microsoft Azure, Google Cloud) - 7+ years of experience in application development with skills in Python, SQL, Scala, or Java (preferred) - 4+ years of experience with public cloud services (AWS, Microsoft Azure, Google Cloud) (preferred) - 4+ years with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) (preferred) - 4+ years working with real-time data and streaming applications (preferred) - 4+ years of experience implementing NoSQL (Mongo, Cassandra) (preferred) - 4+ years of data warehousing experience (Redshift or Snowflake) (preferred) - 4+ years of experience with UNIX/Linux, including basic commands and shell scripting (preferred) - 2+ years of experience with Agile engineering practices (preferred)

Technologies

Redshift
Big Data
Hive
Machine Learning

Responsibilities

- Collaborate with Agile teams to design, develop, test, implement, and support technical solutions using full-stack development tools and technologies - Work alongside developers experienced in machine learning, distributed microservices, and full-stack systems - Utilize programming languages such as Java, Scala, Python, and engage with Open Source RDBMS and NoSQL databases as well as Cloud-based data warehousing services like Redshift and Snowflake - Stay informed about technology trends by experimenting with new technologies, participating in internal and external tech communities, and mentoring other engineers - Partner with digital product managers to deliver robust cloud solutions that enhance the financial empowerment of millions of Americans - Conduct unit tests and peer reviews to ensure code is well-designed, efficiently coded, and optimized for performance

Description


At Capital One, we are innovators in the technology space, dedicated to solving complex business challenges in a fast-paced, collaborative, and inclusive environment. As a Lead Data Engineer within our Enterprise Platforms Technology team, you will drive significant transformations at Capital One. We offer competitive and comprehensive health, financial, and other benefits to support your overall well-being. Our locations include McLean, VA, and Richmond, VA, where salaries for the Lead Data Engineer role range from $175,800 to $220,700, depending on location and experience. Join us and be part of a team committed to empowering customers and fostering a diverse and inclusive workplace.
Something wrong or incorrect with this job? Tell us in the chat 💬 on the right ➡️
You can find Data Engineer salaries in the United States here.

How many Data Engineer jobs are in the United States?

Currently, there are 1000 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, IgnoMail Network Services, Gatekeeper Systems Inc, Deighton Associates Ltd., TsunadeQ Systems, CoveySoft Technology Group, Besnard Information 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 214 different Data Engineer jobs in the United States. They are probably quite committed to find good Data Engineers.