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This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Engineer. In this role, you will play a crucial part in transforming legacy systems into cloud-native architectures, facilitating the extraction, transformation, and loading (ETL) of complex data from various sources. Your expertise in Python and AWS will support the design and implementation of robust solutions that enable comprehensive data analysis and reporting. The impact of your work will be seen across various analytics and decision-making processes, making this role critical for our partner’s operations. Given the evolution of data demands, your contributions will help set new standards in data management and accessibility.
Accountabilities
- Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver tailored data solutions.
- Develop efficient data processing and transformation workflows to support analytics and reporting needs.
- Design, build, and maintain data pipelines and automated ETL processes using tools like Python, R, and Jupyter Notebooks.
- Integrate disparate structured and unstructured data from APIs, databases, and cloud storage into unified datasets.
- Implement processes for data cleaning, transformation, and validation to ensure data accuracy and compliance with security policies.
- Develop dashboards and visualizations to support operational decision-making.
- Provide full lifecycle assistance in deploying, optimizing, and maintaining complex code with data processing routines.
Requirements
- 5+ years of experience as a Data Engineer, Data Scientist, or Backend Software Engineer.
- Bachelor’s degree in computer science, statistics, mathematics, economics, or related field.
- Strong skills in Python and SQL, with proficiency in other data engineering languages (e.g., R, SAS, Scala).
- Experience handling large-scale data projects involving data integration, cleaning, ETL, and reporting.
- Experience developing and implementing data reliability, efficiency, and quality checks.
- Experience leveraging AWS services (e.g., S3, EMR, Glue, Lambda) to build data solutions in a cloud-native environment.
- Familiarity with various database systems including Oracle, PostgreSQL, MySQL, and MongoDB.
Benefits
- Medical, Vision, and Dental Insurance.
- 401(k) Savings Plan.
- Flexible Spending Accounts (FSA).
- Education and Professional Training.
- Paid Time Off (PTO).
- Employee Assistance and Identity Theft Protection.
- Employee Referral and Merit Recognition Programs.
- Paid Holidays: 11 per year.
Why Apply Through Jobgether?
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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