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Top Remote Entry Level Data Engineer Jobs in Pittsburgh, PA

35+ Job Results
5 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.
5 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.
5 Days Ago
USA
Remote
3,700 Employees
148K-174K Annually
Entry level
3,700 Employees
148K-174K Annually
Entry level
Cloud • Fintech • Cryptocurrency • NFT • Web3
As a Data Engineer at Coinbase, you will build and maintain data solutions, design robust data pipelines, ensure data quality, and develop automation tools to enhance data science processes and empower user access to accurate data.
5 Days Ago
14 Locations
Remote
4,898 Employees
120K-140K Annually
Entry level
4,898 Employees
120K-140K Annually
Entry level
Digital Media • Fintech • Information Technology
The Data Editor will lead efforts to create and integrate data for WSJ Pro products, enhance data journalism, oversee datasets, and collaborate with bureau chiefs. They will facilitate the development of usable data for financial professionals and engage in data visualization strategies.
Top Benefits:
401-K
Commuter Benefits
Company Outings
+21 More
6 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.
8 Days Ago
United States
Remote
14 Employees
Entry level
14 Employees
Entry level
Marketing Tech
The role involves building and maintaining comprehensive account databases for clients, researching and identifying relevant companies, and validating B2B data accuracy. A skilled B2B Data Developer will utilize data mining techniques and collaborate with internal teams to tailor data collection to client needs.
8 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.
8 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.
9 Days Ago
United States
Remote
2,000 Employees
93K-120K Annually
Entry level
2,000 Employees
93K-120K Annually
Entry level
Food • Software • Hospitality
The Support Engineer will manage day-to-day operations of scan data processes, submit and correct files, ensure smooth system performance, troubleshoot issues, and develop scripts using Node.js and SQL. Attention to detail and excellent documentation skills are essential.
Top Benefits:
401-K
401-K Matching
Adoption Assistance
+46 More
11 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.
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