4113 IT & Software Developer jobs in the US
Requirements
Must:
- Minimum of 3 years of experience in Hadoop programming with HDFS, utilizing PySpark and Hive-based data warehouse projects.
- Proficiency in Big Data technologies such as PySpark, Hive, and Hadoop.
- Strong programming skills in PySpark.
- Solid understanding of organizational strategies, architecture patterns, Microservices, and Event Driven technology, with experience in coaching teams for execution in accordance with these frameworks.
- Capability to implement organizational technology patterns in projects and offer alternative solutions.
- Hands-on experience managing large data volumes with diverse ingestion and processing patterns, including batch and real-time, along with independent decision-making within project scopes.
- Strong grasp of data structures and algorithms.
- Ability to test, debug, and resolve issues within agreed Service Level Agreements (SLAs).
- Skills in designing software that is easily testable and observable.
- Understanding of how team objectives align with business needs.
- Capability to identify project-level business challenges and suggest solutions.
- Knowledgeable about data access methods, streaming technologies, data validation, data performance, and cost optimization.
- Excellent SQL skills.
Responsibilities
- Develop and maintain Hadoop-based solutions using PySpark and Hive.
- Design and implement robust data pipelines for efficient data processing and ingestion.
- Engage in collaborative discussions with the team to align technical strategies with organizational goals.
- Provide guidance and mentorship to junior developers on best practices and project execution.
- Diagnose and resolve technical challenges to ensure project deadlines are met.
- Create scalable and maintainable code, following design principles and coding standards.
- Conduct performance tuning and optimization of data processes.
- Regularly communicate project updates and challenges to stakeholders.
- Stay current with emerging technologies and integrate relevant advancements into projects.
Description
At LTIMindtree, we pride ourselves on being a leading global technology consulting and digital solutions provider. Our mission is to empower enterprises across various sectors by innovating business models and accelerating their growth through cutting-edge digital technologies. With a robust workforce of nearly 90,000 skilled professionals operating in over 30 countries, we are committed to delivering exceptional business outcomes and client satisfaction. Located in Irving, Texas, we offer a comprehensive benefits package, including medical, dental, and vision coverage, disability insurance, a 401(k) plan with company matching, life insurance, and generous paid leave policies. We foster a diverse and inclusive work environment where all employees can thrive.
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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 4113 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?
Gatestone & Co. Inc, D3 Security Management Systems, The Dufresne Group (TDG), GINGER Telecom, GE Aerospace, Castellum Inc, Glotel among others, are currently hiring for Data roles in the United States.
The company with most openings is Judge Group, Inc. as they are hiring for 301 different Data Engineer jobs in the United States. They are probably quite committed to find good Data Engineers.
The company with most openings is Judge Group, Inc. as they are hiring for 301 different Data Engineer jobs in the United States. They are probably quite committed to find good Data Engineers.