We are seeking a highly skilled Data Engineer to design, build, and maintain scalable data pipelines and infrastructure. The ideal candidate will have a strong background in data modeling, ETL processes, and cloud-based data solutions. You will work closely with data scientists, analysts, and software engineers to ensure efficient data processing and accessibility for business insights.
This is a 100% remote position, so the ability to work independently while collaborating with a distributed team is essential.
Key Responsibilities:
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Design, develop, and maintain data pipelines to support analytics and business intelligence needs.
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Build and optimize data architectures, databases, and data warehouses.
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Implement and manage ETL processes to ingest and transform data from multiple sources.
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Work with structured and unstructured data to ensure data integrity and quality.
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Collaborate with stakeholders to understand data requirements and provide scalable solutions.
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Ensure security, compliance, and governance of data platforms.
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Optimize query performance and data storage solutions.
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Troubleshoot and resolve data-related issues in production environments.
Requirements:
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Education: Bachelors or Masters degree in Computer Science, Data Engineering, Information Systems, or a related field.
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Experience: 1+ year of experience in data engineering, database management, or related fields.
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Technical Skills:
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Proficiency in SQL and experience with relational databases (PostgreSQL, MySQL, or SQL Server).
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Strong knowledge of Python, Java, or Scala for data processing.
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Experience with cloud platforms such as AWS (Redshift, S3, Glue), Azure, or Google Cloud.
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Expertise in ETL tools (Apache Airflow, dbt, Talend, or similar).
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Familiarity with big data technologies (Spark, Hadoop, Kafka).
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Experience working with APIs and data integration.
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Knowledge of data warehousing and data modeling best practices.
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Soft Skills:
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Strong problem-solving and analytical skills.
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Excellent communication and teamwork abilities.
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Ability to work independently in a remote setting and manage multiple priorities.
Preferred Qualifications:
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Experience with NoSQL databases (MongoDB, DynamoDB, Cassandra).
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Knowledge of CI/CD pipelines for data workflows.
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Exposure to machine learning pipelines and MLOps is a plus.
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Certifications in cloud data platforms (AWS Certified Data Analytics, Google Cloud Professional Data Engineer, etc.).
Benefits:
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Competitive salary based on experience.
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Fully remote work with flexible scheduling.
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Health, dental, and vision insurance.
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Paid time off and company holidays.
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Learning and development opportunities.