Remote Opportunity | Immediate Need – Data Engineer (US Citizens Only)
Location: Remote (EST Hours, 8:30am to 5:30pm. Must reside in one of the approved states listed below)
Employment Type: Full-time with benefits
Clearance Required: Ability to obtain Public Trust (US Citizens only)
Our client is actively seeking a Data Engineer to join their team. In this role, you will be responsible for designing, building, and maintaining a Microsoft Fabric-based data warehouse to support enterprise analytics, reporting, and business intelligence initiatives.

REQUIREMENTS:

• Proven experience with Microsoft Fabric and modern data warehouse technologies.
• Strong background in data engineering, ETL development, and SQL.
• Familiarity with data modeling, data governance, and cloud platforms (preferably Azure).
• Excellent communication and collaboration skills.
• Must be a U.S. Citizen (no exceptions).
• Must pass a standard background check and be able to obtain a Public Trust Clearance.
• Must reside in one of the approved states (list to be provided).

SKILLS:

• 5+ years of experience in data engineering, data warehousing, or cloud-based analytics.
• Hands-on experience with at least one of the following cloud data warehousing technologies:
• Microsoft Fabric (OneLake, Data Factory, Synapse)
• Snowflake (Virtual Warehouses, Snowpark, Data Sharing)

1. Databricks (Delta Lake, Apache Spark, MLflow)

• Strong expertise in SQL and performance tuning for cloud-based databases.
• Experience with ETL/ELT tools (Informatica, Azure Data Factory, etc.).
• Proficiency in Python, Scala, or Java for data processing and automation.
• Knowledge of cloud platforms (Azure or AWS) and their data services.
• Familiarity with data lake architectures, structured & unstructured data handling.
• Strong understanding of data governance, security, and compliance best practices.
• Experience with CI/CD pipelines and DevOps practices for data engineering.
• Exposure to AGILE development methodologies is a plus.
• Certifications in Microsoft Fabric, Snowflake, Databricks, or a related cloud technology is
• preferred.
• Experience with machine learning pipelines or AI-driven analytics is a plus.
• Strong business acumen to align data solutions with company objectives.
• Excellent verbal and written communication skills.

KEY RESPONSIBILITIES:

• Design and develop scalable data pipelines and ETL/ELT processes.
• Implement and manage a Microsoft Fabric-based data warehouse.
• Collaborate with stakeholders to define data requirements and deliver analytics-ready data sets.
• Ensure data quality, consistency, and security.
• Support BI and reporting needs across departments.

JOB RESPONSIBILITIES:

• Design, develop, and optimize cloud-based data warehouses using Microsoft Fabric.
• Build and maintain ETL/ELT pipelines to ingest, process, and transform large datasets efficiently.
• Ensure data quality, consistency, and security while implementing best practices for data
• governance and compliance.
• Collaborate with the business stakeholders, BI Developers, and BI Analysts to understand
• requirements and deliver scalable data solutions.
• Monitor and enhance data warehouse performance, reliability, and scalability.
• Implement data modeling techniques (star schema, snowflake schema, etc.) to support analytical queries and reporting.
• Automate processes using Python, SQL, Spark, or other scripting languages.
• Troubleshoot data pipeline and performance issues, ensuring smooth operations.
• Maintain a positive work atmosphere by behaving and communicating in a manner so that you get along with customers, clients, co-workers, and management.
• Work alongside the Information System Technical leadership to shape the technology roadmap of the enterprise data warehouse.