Senior Data Engineer

Blackstone eIT; United States; Remote; USD 120,000 - 170,000; Full time

Job summary

BlackStone eIT in the United States is seeking an experienced Data Engineer to design scalable data architectures, build ETL/ELT pipelines, and collaborate with analysts and science teams to enable analytics at scale.

You will optimize queries, govern data security and quality, migrate data to cloud platforms, and monitor workflows to drive reliable data-driven decisions.

Qualifications

• 5+ years of experience in data engineering or related roles.
• Strong knowledge of SQL, relational databases, and query optimization.
• Hands-on experience with ETL/ELT tools and cloud platforms (AWS, Azure, or GCP).
• Familiarity with data governance, security, and compliance frameworks.
• Solid understanding of batch and real-time data processing.
• Collaborative mindset with ability to work across technical and business teams.

Responsibilities

• Data Architecture Design: Contribute to the design of scalable and secure data solutions, ensuring alignment with business and technical needs.
• ETL/ELT Pipeline Development: Develop and optimize efficient pipelines to ingest, transform, and load data from diverse sources into structured formats for analytics.
• Data Source Analysis: Analyze structured and unstructured data sources, recommending strategies for ingestion, processing, and classification.
• Data Layer Development: Assist in building a robust data layer that supports both batch and real-time processing.
• Data Ingestion & Cleansing: Implement strategies for validating and cleansing data to ensure quality and compliance with governance policies.
• Query Optimization: Write and optimize SQL queries to improve performance and efficiency across large datasets.
• Data Migration: Support migration projects from legacy systems to cloud platforms, ensuring accuracy and minimal downtime.
• Performance Monitoring: Monitor data workflows, troubleshoot bottlenecks, and propose improvements.
• Collaboration: Work closely with analysts, scientists, and business teams to translate requirements into data models.
• Data Governance & Security: Apply governance standards and security best practices, ensuring compliance with regulations (e.g., GDPR).
• Continuous Learning: Stay updated on emerging tools and practices, contributing to team innovation and improvement.

Skills

Experience

SQL

ETL/ELT

Data governance

Batch & real-time

Cross-functional collaboration

Tools

AWS/Azure/GCP

Job description

Key Responsibilities

• Data Architecture Design: Contribute to the design of scalable and secure data solutions, ensuring alignment with business and technical needs.


• ETL/ELT Pipeline Development: Develop and optimize efficient pipelines to ingest, transform, and load data from diverse sources into structured formats for analytics.


• Data Source Analysis: Analyze structured and unstructured data sources, recommending strategies for ingestion, processing, and classification.


• Data Layer Development: Assist in building a robust data layer that supports both batch and real-time processing.


• Data Ingestion & Cleansing: Implement strategies for validating and cleansing data to ensure quality and compliance with governance policies.


• Query Optimization: Write and optimize SQL queries to improve performance and efficiency across large datasets.


• Data Migration: Support migration projects from legacy systems to cloud platforms, ensuring accuracy and minimal downtime.


• Performance Monitoring: Monitor data workflows, troubleshoot bottlenecks, and propose improvements.


• Collaboration: Work closely with analysts, scientists, and business teams to translate requirements into data models.


• Data Governance & Security: Apply governance standards and security best practices, ensuring compliance with regulations (e.g., GDPR).


• Continuous Learning: Stay updated on emerging tools and practices, contributing to team innovation and improvement.

Qualifications

• 5+ years of experience in data engineering or related roles.


• Strong knowledge of SQL, relational databases, and query optimization.


• Hands-on experience with ETL/ELT tools and cloud platforms (AWS, Azure, or GCP).


• Familiarity with data governance, security, and compliance frameworks.


• Solid understanding of batch and real-time data processing.


• Collaborative mindset with ability to work across technical and business teams.