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10,204 jobs found
08.02.2024
ATT

ATT Senior Big Data Engineer United States, Texas, Dallas

Limitless High-tech career opportunities - Expoint
Description:
Medical/Dental/Vision coverage. 401(k) plan. Tuition reimbursement program. Paid Time Off and Holidays (based on date of hire, at least 23 days of vacation each year and 9 company-designated holidays). Paid...
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19.02.2024
JPM

JPMorgan Big Data Software Engineer II United States, Ohio

Limitless High-tech career opportunities - Expoint
Description:
Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems. Creates secure and high-quality production...
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07.02.2024
ATT

ATT Senior-Big Data Software Engineer United States, Texas, Dallas

Limitless High-tech career opportunities - Expoint
Description:
Medical/Dental/Vision coverage. 401(k) plan. Tuition reimbursement program. Paid Time Off and Holidays (based on date of hire, at least 23 days of vacation each year and 9 company-designated holidays). Paid...
Full job details
08.02.2024
ATT

ATT Senior-Big Data Software Engineer United States, Texas, Dallas

Limitless High-tech career opportunities - Expoint
Description:
Medical/Dental/Vision coverage. 401(k) plan. Tuition reimbursement program. Paid Time Off and Holidays (based on date of hire, at least 23 days of vacation each year and 9 company-designated holidays). Paid...
Full job details
19.02.2024
WF

Wells Fargo Lead Data Engineer - Big Data/Hadoop United States, North Carolina, Charlotte

Limitless High-tech career opportunities - Expoint
Description:
Lead complex technology initiatives including those that are companywide with broad impact. Act as a key participant in developing standards and companywide best practices for engineering complex and large-scale technology...
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10.02.2024
JPM

JPMorgan Big Data Software Engineer III Spark PySpark United States, Delaware, Wilmington

Limitless High-tech career opportunities - Expoint
Description:
Executes standard software solutions, design, development, and technical troubleshooting. Writes secure and high-quality code using the syntax of at least one programming language with limited guidance. Designs, develops, codes, and...
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10.02.2024
JPM

JPMorgan Big Data Lead Software Engineer United States, Delaware, Wilmington

Limitless High-tech career opportunities - Expoint
Description:
Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems. Develops secure high-quality production...
Full job details
Limitless High-tech career opportunities - Expoint
Description:
Medical/Dental/Vision coverage. 401(k) plan. Tuition reimbursement program. Paid Time Off and Holidays (based on date of hire, at least 23 days of vacation each year and 9 company-designated holidays). Paid...
Full job details
Data Engineers are responsible for designing, building, and maintaining the infrastructure and systems that support data management and analysis. They work closely with data scientists, data analysts, and other stakeholders to ensure that data is properly collected, stored, and processed to meet the needs of the organization. They are well-versed in a variety of programming languages and technologies, including SQL, Python, and Java, as well as big data technologies like Hadoop, Spark and Apache Kafka. They also have experience with data warehousing, data modeling, and data integration. Data Engineers are responsible for designing and developing data pipelines to move data from various sources to data warehouses or data lakes, they also ensure the data quality and make sure that the data is accurate and properly formatted. They also have to monitor and maintain the performance of the data infrastructure and troubleshoot any issues that arise. They also have experience with cloud-based data storage and processing solutions like AWS Redshift and Google BigQuery. In short, Data Engineers are critical to the success of any data-driven organization. They are responsible for the data pipeline, from the collection and storage of data to its processing and analysis, and ensure that data is accurate, available, and properly formatted to the right people at the right time. They also play a key role in building scalable, reliable, and efficient data architectures that are essential for data-driven decision making. They have the ability to work with different data technologies and tools and have experience with cloud platforms.