Data Engineer

Cisive; Maryland; Hybrid; USD 90,000 - 120,000; Full time

Benefits offered by this job

Hands-on experience with real-world projects

Mentorship and guidance

Flexible/remote work options

Job summary

Cisive is seeking a Data Engineer to join their collaborative Data and AI team in Maryland. This role focuses on designing and building data infrastructure, including ETL pipelines using Azure Data Factory.

The ideal candidate has 3+ years of experience with Microsoft data technologies and holds a Bachelor’s degree in a related field. The company offers mentorship, a collaborative environment, and flexible/remote work options.

Qualifications

• 3+ years of data engineering experience, preferably with Microsoft data technologies.
• Proficiency in modern coding practices, including Visual Studio Code, Git, and test frameworks.
• Experience with Azure Data Factory, SSIS, and/or other Microsoft Azure data services.

Responsibilities

• Collaborate with the Data and AI team to design and build data infrastructure.
• Develop and maintain data models, cloud data warehouses, and data lakes.
• Support data quality, governance, and security initiatives.

Skills

Data engineering experience

Strong SQL skills

Modern coding practices

Data modeling

Problem-solving skills

Education

Bachelor’s degree in Computer Science, Data Science, Information Systems, or related field

Tools

Azure Data Factory

Microsoft SQL Server

Visual Studio Code

Git

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 will 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.