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Upwork is hiring a Data Engineer - API Integration & Data Normalization Specialist - Contract to Hire

Data Engineer - API Integration & Data Normalization Specialist - Contract to Hire

Upwork  ·  US  ·  $62k/yr - $210k/yr
3 months ago

We are seeking a highly skilled and detail-oriented Data Engineer who specializes in API integration and data normalization. In this role, you will be responsible for collecting and cleaning data from multiple APIs, integrating the data into a central database, and normalizing the data to ensure consistency and accuracy.


- Research, identify, and integrate data from various APIs, ensuring data compatibility and consistency.

- Develop and maintain data collection processes and workflows, automating where possible.

- Clean and preprocess data to eliminate duplicates, inconsistencies, and inaccuracies.

- Design and implement a robust and scalable database architecture to consolidate the integrated data.

- Create data models and schemas to optimize the efficiency and usability of the database.

- Perform data normalization techniques to standardize data formats, values, and units.

- Collaborate with cross-functional teams, including data scientists and analysts, to understand data requirements and assist in data-driven projects.

- Stay updated with the latest technologies, tools, and methodologies in the field of data engineering and integration.


- Master's degree in Computer Science, Data Science, or a related field.

- Proven experience in API integration, data collection, and data preprocessing.

- Strong proficiency in programming languages such as Python or Java.

- Experience with various APIs and data integration techniques.

- Familiarity with database technologies (e.g., SQL, NoSQL) and data modeling.

- Understanding of data normalization principles and techniques.

- Excellent problem-solving and analytical skills.

- Strong attention to detail and the ability to work with large datasets.

- Good communication and collaboration skills to work effectively in a team-oriented environment.

- Proactive and self-motivated with a passion for data accuracy and quality.

- Ability to adapt to evolving technology landscapes and learn new tools quickly.

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