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Top Entry Level Data Engineer Jobs in San Antonio, TX

18 Days Ago
United States
Remote
1,651 Employees
Entry level
1,651 Employees
Entry level
News + Entertainment
The Performance Science Data Engineer role involves utilizing data science techniques to enhance live entertainment experiences, focusing on analyzing performance metrics and improving overall event execution. The position may collaborate cross-functionally to drive data-driven decisions and optimize audience engagement.
19 Days Ago
United States
Remote
1,153 Employees
Entry level
1,153 Employees
Entry level
Healthtech • Software • Telehealth
The AI Data Analytics Engineer 1 will collaborate with physicians to create synthetic conversation scripts, write and optimize Python code, analyze large datasets for AI model enhancement, and develop solutions for visualizing data trends in healthcare IT.
20 Days Ago
United States
Remote
944 Employees
Entry level
944 Employees
Entry level
Big Data • Cloud
Trace3 is seeking candidates to join their Data Intelligence Team. The role involves utilizing data analytics and consulting services to develop unique technology solutions for clients. Emphasizing innovation and teamwork, the company fosters a collaborative environment where employees can grow and make impactful decisions.
Top Benefits:
401-K
Company Outings
Dental Insurance
+15 More
20 Days Ago
United States
Remote
160 Employees
Entry level
160 Employees
Entry level
Information Technology
The Data Collector will administer surveys to middle and high school students, focusing on health risk behaviors. Responsibilities include data entry of participation rates, coordinating with schools, and ensuring effective survey administration. A mandatory training is required before starting.
20 Days Ago
United States
Remote
40 Employees
135K-175K Annually
Entry level
40 Employees
135K-175K Annually
Entry level
Software
As a Data Engineer at Archive, you will build data pipelines, develop AI use cases, architect data infrastructure, and improve reporting practices. You will work with large datasets and collaborate with various teams to solve complex problems and enhance product metrics.
21 Days Ago
USA
Remote
38 Employees
Entry level
38 Employees
Entry level
Software
As a Python Data Engineer, you'll build and maintain data ingestion and streaming infrastructure, evolve web crawling systems, and create ETL pipelines connecting to APIs and datasets while collaborating with global engineering teams.
21 Days Ago
US
Remote
1,398 Employees
Entry level
1,398 Employees
Entry level
Edtech
This position involves supporting students in data analytics boot camps through various roles such as Teaching Assistants, Tutors, Learning Assistants, and Graders. Responsibilities include facilitating lessons, providing one-on-one support, engaging with students on structured schedules, and offering detailed feedback on assignments.
22 Days Ago
2 Locations
Remote
310 Employees
Entry level
310 Employees
Entry level
Artificial Intelligence • Cloud • Information Technology
The Data Engineer will design and build data products including data lakes and repositories, participating in all stages of data pipeline development and working closely with cross-departmental stakeholders.
23 Days Ago
40 Locations
Remote
61 Employees
Entry level
61 Employees
Entry level
Information Technology • Software
As a Data Engineer, you will develop and maintain data ingestion adapters for blockchain networks, implement data ingestion strategies, optimize latency, and collaborate with upstream data sources. You will perform data quality checks and adapt to a dynamic remote work environment.
24 Days Ago
United States
Remote
28,222 Employees
67K-109K Annually
Entry level
28,222 Employees
67K-109K Annually
Entry level
Retail • Sports
Design and build data models, BI dashboards, and applications to solve business problems. Collaborate with a team to understand data and business needs. Support program management and troubleshoot issues. Recommend technical developments and optimize solutions. Continuous learning and development in BI tools, cloud platforms, databases, and version control systems.
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