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Top Entry Level Data Engineer Jobs in Miami, FL

9 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.
9 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.
12 Days Ago
USA
Remote
512 Employees
Entry level
512 Employees
Entry level
Legal Tech
The Data Entry Specialist will review, confirm, and file legal documents in internal systems while participating in training and investigating discrepancies. Additional projects may be assigned as necessary.
12 Days Ago
USA
Remote
86 Employees
Entry level
86 Employees
Entry level
Greentech • Transportation
As a Software Engineer focusing on Data Analytics, you will develop tools and processes for autonomy software, optimize data pipelines, ensure data quality, and produce actionable insights through reports and dashboards, collaborating with stakeholders on performance metrics.
12 Days Ago
United States
Remote
59 Employees
Entry level
59 Employees
Entry level
Information Technology • Consulting
As a Data Visualization Consultant, you will design and develop analytics applications in BI platforms like Tableau and PowerBI, creating effective visualizations to meet healthcare clients' needs. Responsibilities include understanding client requirements, designing mockups, coaching organizations on best practices, and troubleshooting visualization issues.
12 Days Ago
USA
Remote
46 Employees
Entry level
46 Employees
Entry level
Information Technology • Consulting
The Data Integration Specialist will work with clients to onboard their data to Enterra solutions, validate data processes, and communicate requirements. Responsibilities include mapping data, addressing gaps, conducting initial data wrangling, and testing solutions. The role emphasizes collaboration with data engineers and understanding client data needs.
13 Days Ago
United States
Remote
13 Employees
Entry level
13 Employees
Entry level
Business Intelligence • Consulting
As an Ad Hoc Data Processing/Data Entry Specialist, responsible for accurately entering and processing data according to company's standards and procedures. Requires high attention to detail, efficiency, and handling confidential information.
16 Days Ago
USA
Remote
67 Employees
75K-150K Annually
Entry level
67 Employees
75K-150K Annually
Entry level
Sports • eSports
As a Data Engineer, you will design and maintain ETL pipelines, develop data schemas, implement secure data storage procedures, optimize data processing tasks, and coordinate with data providers. Senior Data Engineers will take on leadership roles, breaking down projects, mentoring junior engineers, and improving ETL tools.
17 Days Ago
United States
Remote
141K-188K Annually
Entry level
141K-188K Annually
Entry level
Automotive
The Manager of Software Engineering - Data at TrueCar will lead a team of data engineers, managing product roadmaps and driving engineering practices while collaborating with various stakeholders to enhance their online platform. Responsibilities include providing technical guidance, mentoring team members, and shaping the technical roadmap.
17 Days Ago
United States
Remote
371 Employees
Entry level
371 Employees
Entry level
AdTech • Marketing Tech
As a Data Engineer at StackAdapt, you will design and implement modular and scalable real-time data pipelines, work on custom ML algorithms, and manage microservices for training and monitoring ML models in a collaborative environment.
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