Top USA Data Engineer Job Vacancies
Looking for an exciting career as a Data Engineer in the USA? Join Kloud Hire! We specialize in connecting talented data engineers with top companies. If you're passionate about designing and building robust data pipelines, optimizing data flows, and developing scalable data architectures, this opportunity is for you. At Kloud Hire, you'll work on cutting-edge technologies, including Hadoop, Spark, SQL, and cloud platforms, transforming raw data into actionable insights. Collaborate with dynamic teams, innovate on cloud infrastructure, and lead in big data solutions. Whether you're experienced in ETL processes, data warehousing, or advanced analytics, we offer roles that challenge and grow your expertise. Step into a high-impact career and drive the future of data with Kloud Hire!
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Data Engineer & Analytics Prof.../ 24 days ago
Data Engineer & Analytics Prof..., Fremont, CA (On-Site)
$100000 - 400000Browse Job -
Lead Azure Data Engineer / 37 days ago
Lead Azure Data Engineer , Remote Work
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Data Engineer/ 40 days ago
Data Engineer, Plano, TX (On-Site)
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Data Engineer/ 53 days ago
Data Engineer, Bentonville, AR (On-Site)
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Data Engineer/ 59 days ago
Data Engineer, Charlotte, NC (On-Site)
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Data Engineer/ 59 days ago
Data Engineer, Remote Work
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Data engineer (with KUSTO and .../ 67 days ago
Data engineer (with KUSTO and ..., redmond , WA (On-Site)
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Snowflake Data Engineer/ 78 days ago
Snowflake Data Engineer, Jersey City (On-Site)
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Platform Data Engineer/ 82 days ago
Platform Data Engineer, New York / New Jersey , NY (On-Site)
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Manager Data Engineer/ 86 days ago
Manager Data Engineer, New jersey City, NJ (On-Site)
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Data Engineer/ 141 days ago
Data Engineer, Remote Work
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Data Engineer/ 141 days ago
Data Engineer, Remote Work
Find and Apply for Data Engineer Jobs in the USA
Data engineering is a critical field for businesses looking to leverage data for decision-making, analysis, and innovation. Data engineers design, build, and maintain data pipelines and architectures that support data analysis and business operations. In the USA, the demand for skilled data engineers is soaring across sectors such as technology, finance, and healthcare.
At Kloudhire, we offer a user-friendly platform that helps job seekers find and apply for data engineer jobs in top industries. Our platform provides listings from leading employers across the USA, ranging from startups to large corporations. Whether you are a seasoned data engineer or looking to break into the field, Kloudhire can help you find the perfect job that fits your skills and career goals.
How can I know when new Data Engineer Jobs are posted in the USA?
To stay updated on new data engineer job postings in the USA, you can utilize Kloudhire's job alert feature. Simply create an account and set up job alerts based on your preferred location, industry, and skill set. You will receive notifications whenever new positions that match your criteria are posted. Additionally, Kloudhire's AI-driven job recommendations will suggest positions that align with your experience and preferences. This ensures that you are always aware of the latest opportunities without having to constantly search. You can also check our platform regularly for fresh postings from top employers in data engineering.
What qualifications and skills are required for Highest Paying Data Engineer Jobs in the USA?
Data engineer roles require a combination of technical skills, analytical abilities, and practical experience. Key qualifications include:
Proficiency in Programming Languages: Skills in Python, Java, and Scala are essential for building data pipelines.
Database Management: Experience with SQL, NoSQL, and big data technologies like Hadoop and Cassandra.
Cloud Platforms: Familiarity with cloud services like AWS, Google Cloud, and Azure for data storage and processing.
ETL Tools: Expertise in Extract, Transform, Load (ETL) processes using tools like Apache Airflow or Talend.
Data Warehousing: Knowledge of data warehousing solutions like Snowflake or Redshift for structuring and optimizing data.
Problem-Solving: Strong analytical and problem-solving skills to manage large datasets and resolve data quality issues.