What are the responsibilities and job description for the Data Engineer position at Cisive?
It's fun to work in a company where people truly BELIEVE in what they're doing!
We're committed to bringing passion and customer focus to the business.
At Cisive, our vision is to make securing the right talent effortless. We provide technology-first background screening, identity verification, and continuous monitoring solutions that help organizations hire and manage their workforce with confidence.
Our Values
- Integrity First: We uphold the highest ethical standards in everything we do.
- Innovate Fearlessly: We challenge the status quo, embrace emerging technologies, and continuously refine our solutions to stay ahead of industry needs.
- Win Together: We break down barriers, share knowledge, and champion teamwork across departments, brands, and global offices to achieve our collective goals.
- Customer Obsessed: We go beyond transactional interactions to become trusted partners in risk mitigation and workforce management.
- Stay One Step Ahead: We proactively seek knowledge that helps us—and our clients—stay ahead of the curve.
Job Description:
Data Engineer (Microsoft Stack)
Join our collaborative Data and AI team, where every member's contributions are valued and visible. As a Data Engineer, you'll take on meaningful responsibilities that directly impact our projects and business at Cisive. This is an excellent opportunity for someone eager to work hands-on with Microsoft's cloud-native data technologies, develop new skills in modern data platforms, and be recognized for their achievements. You'll be supported by experienced professionals and have opportunities to showcase your work in cutting-edge cloud environments.
Responsibilities:
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.
Qualifications:
(Required) 3 years of data engineering experience, preferably with Microsoft data technologies.
(Required) Bachelor’s degree in Computer Science, Data Science, Information Systems, or a related field.
(Required) Strong SQL skills and experience with Microsoft SQL Server.
(Required) Proficiency in modern coding practices, including Visual Studio Code, Git, and test frameworks (unit testing, regression testing, etc.).
(Required) Experience with Azure Data Factory, SSIS, and/or other Microsoft Azure data services.
(Required) Experience designing and implementing star schema data models.
(Nice to Have) Experience with Databricks and Python
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.
What We Offer:
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.