1608 IT & Software Developer jobs in the US
Big Data Developer with Hadoop and Spark
$128,000 - 168,000
LTIMindtree
E Grauwyler 222, Irving
$128,000 - 168,000
Requirements
Must:
- Minimum of 6 years of software development experience, particularly with large-scale data volumes from ingestion to persistence and retrieval
- Substantial hands-on experience in creating and refining solutions using Apache Spark with Scala
- In-depth knowledge of big data technologies such as Hadoop, Spark, Kafka, Flink, and NoSQL databases
- High proficiency in programming languages such as Java or Scala for Apache Spark development
- Experience in utilizing Apache Spark; knowledge of PySpark is advantageous
- Familiarity with additional big data tools like Hadoop, Kafka, and Flink
- Experience working with various NoSQL databases
- Strong analytical skills and a talent for crafting innovative solutions
- Proficient in build tools like Maven, SBT, Gradle, and version control systems like Git
- Understanding of data modeling and ETL/ELT processes
- Experience transitioning ETL frameworks from proprietary technologies to Apache Spark
- Familiarity with machine learning and data analytics tools
- Insight into core banking and financial services systems
- Excellent problem-solving, analytical, and debugging capabilities
- Strong communication and interpersonal skills, capable of conveying technical concepts effectively
- Ability to thrive in an Agile/Scrum development setting
- Proven ability to take responsibility for features and achieve results
Responsibilities
- Design, develop, and optimize big data processing applications using Apache Spark
- Manage the extraction, transformation, and loading (ETL) processes for diverse data sources
- Collaborate with cross-functional teams to understand project requirements and deliver effective solutions
- Troubleshoot and resolve issues in existing big data applications
- Continuously improve and optimize data processing workflows for efficiency
- Participate in code reviews and ensure best practices are followed
- Contribute to the evolution of our big data architecture and technology stack
- The role may require participating in Agile ceremonies and collaborating with Scrum teams
Description
At LTIMindtree, we are a leading global technology consulting and digital solutions company dedicated to helping businesses transform their operations and optimize growth through innovative digital technologies. Our team includes nearly 90,000 talented professionals across over 30 countries, where we prioritize collaboration and solving complex challenges at scale. We offer a comprehensive benefits package, including medical, dental, and vision coverage, disability insurance, a 401(k) plan with company match, life insurance, generous vacation, and paid leave options. We are committed to fostering an inclusive workplace and are an equal opportunity employer.
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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 1608 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?
Bank of Canada, Vortex Solution, Neptronic, Levven Electronics Ltd., Handgards, Baptist Health South Florida, SciTec among others, are currently hiring for Data roles in the United States.
The company with most openings is Jobot as they are hiring for 145 different Data Engineer jobs in the United States. They are probably quite committed to find good Data Engineers.
The company with most openings is Jobot as they are hiring for 145 different Data Engineer jobs in the United States. They are probably quite committed to find good Data Engineers.