Data Engineer

Job not on LinkedIn

🕒 May 14

Azure

Cloud

ETL

MS SQL Server

SQL

SSIS

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Logo of Cisive

Cisive

1001 - 5000 employees

Founded 1977

👥 HR Tech

Healthcare • Transportation • HR Tech

Cisive is a compliance-focused talent screening and workforce risk management company that provides background checks, drug and occupational health testing, ongoing monitoring, electronic I-9, and executive intelligence through a single, integrated platform. They serve highly regulated industries—particularly healthcare and transportation—offering specialized products like PreCheck for healthcare and Driver iQ for driver screening, and emphasize fast, accurate results and regulatory compliance for employers.

📋 Description

• Collaborate with the Data and AI team to design and build data infrastructure, including ETL/ELT pipelines using Azure Data Factory. • Develop and maintain data models, cloud data warehouses, and data lakes using Azure SQL Server and Azure SQL Database. • Write and optimize T-SQL scripts, stored procedures, and functions for data transformation and integration. • Support data quality, governance, and security initiatives. • Participate in the full lifecycle of data projects, from requirements gathering to deployment and monitoring.

🎯 Requirements

• 3+ years of data engineering experience, preferably with Microsoft data technologies. • Bachelor’s degree in Computer Science, Data Science, Information Systems, or a related field. • Strong SQL skills and experience with Microsoft SQL Server. • Proficiency in modern coding practices, including Visual Studio Code, Git, and test frameworks (unit testing, regression testing, etc.). • Experience with Azure Data Factory, SSIS, and/or other Microsoft Azure data services. • Experience designing and implementing star schema data models. • Excellent problem-solving skills, attention to detail, and strong communication skills. • Ability to work effectively in a team environment and manage multiple tasks with minimal supervision.

🏖️ Benefits

• Hands-on experience with real-world data engineering projects using Microsoft’s data stack. • Mentorship and guidance from experienced data professionals. • Opportunities to take on significant responsibilities and make a tangible impact. • A collaborative and inclusive work environment. • Flexible/remote work options.

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