What are the responsibilities and job description for the Senior Data Engineer position at Reorg?
We are seeking a highly skilled and experienced Senior Data Engineer with a strong background in building and managing data pipelines, data warehouses, and data lakes. As a Senior Data Engineer, you will play a pivotal role in our organization's data infrastructure, enabling efficient and reliable data processing, storage, and analysis.
Responsibilities:
- Design and develop robust, scalable, and efficient data pipelines to support the extraction,
transformation, and loading (ETL) processes from various data sources into data warehouses
and data lakes. - Collaborate closely with cross-functional teams, including data scientists, analysts, and software
engineers, to understand data requirements and design optimal solutions. - Build and manage data warehouses and data lakes to store and organize large volumes of
structured and unstructured data efficiently. - Implement data governance processes and best practices to ensure data quality, integrity, and
security throughout the data lifecycle. - Identify and address performance bottlenecks, data inconsistencies, and data quality issues in
data pipelines, warehouses, and lakes. - Develop and maintain monitoring and alerting systems to proactively identify and resolve data-related issues.
- Continuously evaluate and explore emerging technologies and tools in the data engineering space to improve data processing efficiency and scalability.
- Mentor and guide junior data engineers, providing technical leadership and fostering a collaborative and innovative environment.
Requirements:
- Bachelor's degree in Computer Science or a related field.
- Proven experience (minimum 5 years) in building and managing data pipelines, data warehouses, and data lakes in a production environment.
- Proficiency in programming languages such as Python, SQL and experience with data processing frameworks like Apache Spark or Apache Beam.
- Experience ETL/ELT frameworks and tools like AWS Glue, dbt, Airflow, Airbyte, etc.
- In-depth knowledge of relational databases (e.g., MySQL, PostgreSQL) and experience with columnar storage technologies (e.g., Redshift, Snowflake).
- Strong understanding of distributed systems, data modeling, and database design principles.
- Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in deploying data infrastructure on the cloud.
At Reorg, we consider a range of factors in connection with compensation decisions, including experience, skills, location, and our business needs and limitations. As a result, compensation may vary within and across similar roles and positions. Please note that the salary range information below is a good faith estimate for this position and actual compensation for any individual may fall outside this range if warranted by the circumstances applicable to that individual. If we identify a role that would be suitable for a broader range of skills and experience such that we would consider hiring at multiple levels then the range listed below may reflect that breadth.
The salary range estimate for this position is $140,000-$150,000.
The actual compensation will be at Reorg’s sole discretion and will be determined by the aforementioned and other relevant factors. This position is eligible for an annual discretionary bonus.
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