2220 IT & Software Developer jobs in the US
Big Data Engineer
90,000 - 130,000 USD
Komatsu
East Greenfield Avenue 401R, Milwaukee
90,000 - 130,000 USD
Requirements
Must:
We require a minimum of a Master’s degree in Computer Science, IT, Information Systems, Engineering, or equivalent, along with 7+ years of progressive development experience with data systems, analytics, and big data. A strong preference is given to candidates with experience in developing big data applications, particularly those involving complex equipment and mining. You should have experience in processing large volumes of noisy, real-world time-series sensor data from unreliable sources. Proficiency in big data and Hadoop programming, cloud environments (Azure/AWS), and Agile development methodology is essential. Excellent communication skills and a proven track record in developing production back-end applications in Hadoop ecosystems using Scala and Python are required. DevOps experience will be highly valued, as well as a commitment to continuous deployment.
Responsibilities
In this role, you will be responsible for developing innovative big-data applications based on data from our global mining equipment fleet to meet evolving business needs. You will utilize an open-source software stack, including Confluent Kafka, Snowflake, Databricks, KSQL, Kafka Streams, and Scala and Python ecosystem technologies, while balancing the constraints of time, budget, and computing infrastructure. You will work within and enhance the analytics software development lifecycle and champion development and operations support processes based on industry best practices. Your responsibilities will include leading the day-to-day operation, maintenance, and monitoring of the analytics platform, ensuring data quality, compliance, and security, and integrating the big data platform with cloud services for scalability and cost-effectiveness. You will gather and document requirements for software and system development and actively participate in standardizing test-driven development processes.
Description
At Komatsu, we consider ourselves indispensable partners to the construction, mining, forestry, forklift, and industrial machinery markets, maximizing value for our customers through innovative solutions. Our diverse line of products, supported by advanced IoT technologies and a global service network, allows us to enhance safety and productivity while optimizing performance. We are committed to continuously meeting the performance needs of our analytics platform as it scales with data volume and user base. Komatsu is an Equal Opportunity Workplace and an Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.
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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 2220 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, CGI, Fidelity TalentSource, GE Aerospace, Everlight Solar, Danfoss among others, are currently hiring for Data roles in the United States.
The company with most openings is Leidos as they are hiring for 482 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 482 different Data Engineer jobs in the United States. They are probably quite committed to find good Data Engineers.