Cloud Data Engineer

Novalink Solutions; Remote; USD 80,000 - 110,000; Full time

Job summary

A health data solutions provider is seeking a Cloud Data Engineer to join the Data Team. You will be responsible for engineering data pipelines and models while employing tools such as Azure, Databricks, SQL, and Python. The ideal candidate should have a bachelor's degree in a related field, with at least 3 years of experience in data warehouses and ETL tools. Excellent communication and organizational skills are essential for this role, making contributions toward data science initiatives and large-scale analytics.

Qualifications

• Bachelor's degree in a relevant field and significant experience with data analytics.
• 3+ years of experience engineering within a data warehouse.
• 3+ years of experience designing and developing ETLs.

Responsibilities

• Complete analysis, design, and development of BI solutions.
• Collaborate with other developers for best approach solutions.
• Participate in designing & documenting processes for data analysis.

Skills

Data analytics

Business intelligence design

Dimensional data modeling

Database development

Agile Scrum

Education

Bachelor's degree in Data Analytics, MIS, Computer Science, or related area

Tools

SQL Server Integration Services (SSIS)

Databricks

Python

Power BI

Job description

Lincoln, United States | Posted on 02/12/2026

• Job Type FT Contract
• Date Opened 02/12/2026
• Target Date 02/20/2026
• City Lincoln
• Country United States
• Assigned Recruiter(s) Dinesh Mathi
• Number of Positions 2

Job Description

SUMMARY:

We are looking for a Cloud Data Engineer to work with the Data Team at the Department of Health and Human Services (DHHS) for the State of Nebraska to help grow and modernize our analytics.As a Data Engineer, you will use tools such as Azure, Databricks, Snowflake, SQL, Python, and Power BI to engineer data pipelines and data models to enhance enterprise reporting and analytics.

Specific competencies include:

• Data Structures and Models - Designs and develops the overall database/data warehouse structure based on functional and technical requirements. Designs and develops data collection frameworks for structured and unstructured data.
  
• Data Pipelines and ELT - Designs and applies data extraction, loading, and transformation techniques to connect large data sets from various sources.
  
• Data Performance - Troubleshoots and fixes for data performance issues that come with querying and combining large volumes of data. Adjusts performance for solution accordingly during initial development.
  

RESPONSIBILITIES:

• Complete analysis, design, and development of BI solutions
  
• Database development primarily in SSIS, Databricks, and SQL
  
• Collaborate with other developers to create and implement the best approach solution(s)
  
• Review queries and troubleshoot for performance issues
  
• Assist with the analysis and extraction of relevant information from large amounts of historical business data to feed data science initiatives
  
• Participate and support the design and documentation of processes for large-scale data analyses, model development, model validation, and model implementation
  
• Support and maintain a positive safety culture by following all safety policies and procedures and actively contributing to a safe working environment
  

QUALIFICATIONS:

• A bachelor's degree in Data Analytics, MIS, Computer Science, or related area and significant experience with data analytics, business intelligence design, and development.
  
• 3+ years of experience engineering within a data warehouse or related experience with dimensional data modeling.
  
• 3+ years of experience designing and developing ETLs with tools like Microsoft SSIS (SQL Server Integration Services), Databricks, or Python.
  
• Excellent written and verbal communication skills.
  
• Excellent organizational and time management skills.
  
• Tested problem-solving and decision-making skills.
  
• Experience working as part of an Agile Scrum team.