Senior Data Engineer
$130,000–$155,000 year
Remote · Miami, Florida, United States or New York City, New York, United States
Miami, Florida, United States or New York City, New York, United StatesRemoteFull Time$130,000–$155,000 yearSenior LevelBachelors DegreeEnterprise
Type
Full Time
Level
Senior Level
Education
Bachelors Degree
Company size
Enterprise
Job Summary
Lead the design, development, and optimization of end-to-end data pipelines and cloud-based solutions as a Senior Data Engineer, with responsibilities for architecting scalable data systems and ensuring data integrity.
Required Qualifications
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.
- 5+ years of experience as a Data Engineer with expertise in building large-scale data solutions.
- Proficiency in Python, SQL, and scripting languages (Bash, PowerShell).
- Deep understanding of big data tools (Hadoop, Spark) and ETL processes.
- Hands-on experience with cloud platforms (AWS S3, Azure Data Lake, Google BigQuery, Snowflake).
- Strong knowledge of database systems (SQL, NoSQL), database design, and query optimization.
- Experience designing and managing data warehouses for performance and scalability.
- Proficiency in software engineering practices: version control (Git), CI/CD pipelines, and unit testing.
Desired Qualifications
- Strong experience in software architecture, design patterns, and code optimization.
- Expertise in Python-based pipelines and ETL frameworks.
- Experience with Azure Data Services and Databricks.
- Excellent problem-solving, analytical, and communication skills.
- Experience working in agile environments and collaborating with diverse teams.
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