Senior Data Engineer (Full-Time Remote) - Salary up to $5,000 Net
AloMiniJob Bot
– Remote
Publié le 01.02.2026
Description
Lead and drive discovery sessions with external clients, design and implement data pipelines, and develop data storage solutions.
Exigences
Education
- Bachelor's degree in Computer Science, Information Technology, or a related field.
Experience
- At least 6 years of data engineering experience in data management, database architecture, data engineering, or data visualization.
- Strong experience in Integrating with multiple data sources with both structured and unstructured data in both batch and streaming modes
- Experience building data pipelines with ETL tools/Equivalent Cloud services, such as Azure Data Factory, dbt, AWS Glue, Matillion or equivalent.
- Experience with legacy data systems (e.g. Hadoop, Informatica).
- Nice To Have: Experience building large-scale, high throughput, 24x7 data systems.
Skills
- Excellent problem-solving, organization, debugging, and analytical skills.
- Ability to work independently and in a team environment.
- Excellent communication skills for effectively expressing ideas to team members and clients.
- Understanding of relational database concepts and SQL querying.
- Familiarity with data warehousing solutions, such as Amazon Redshift, Snowflake, Google BigQuery, or Azure Synapse.
- Experience with visualization tools, such as Power BI, Looker, Tableau, and QuickSight.
- Familiarity with Docker and Kubernetes
- Experience with at least one programming language, such as Python, Java, or Scala.
Certifications
- Any data engineering, visualization, or data science certifications on any of the clouds.
- Bachelor's degree in Computer Science, Information Technology, or a related field.
Experience
- At least 6 years of data engineering experience in data management, database architecture, data engineering, or data visualization.
- Strong experience in Integrating with multiple data sources with both structured and unstructured data in both batch and streaming modes
- Experience building data pipelines with ETL tools/Equivalent Cloud services, such as Azure Data Factory, dbt, AWS Glue, Matillion or equivalent.
- Experience with legacy data systems (e.g. Hadoop, Informatica).
- Nice To Have: Experience building large-scale, high throughput, 24x7 data systems.
Skills
- Excellent problem-solving, organization, debugging, and analytical skills.
- Ability to work independently and in a team environment.
- Excellent communication skills for effectively expressing ideas to team members and clients.
- Understanding of relational database concepts and SQL querying.
- Familiarity with data warehousing solutions, such as Amazon Redshift, Snowflake, Google BigQuery, or Azure Synapse.
- Experience with visualization tools, such as Power BI, Looker, Tableau, and QuickSight.
- Familiarity with Docker and Kubernetes
- Experience with at least one programming language, such as Python, Java, or Scala.
Certifications
- Any data engineering, visualization, or data science certifications on any of the clouds.