Cloud Data Engineer

SohanIT Inc; Remote; USD 80,000 - 100,000; Full time

Job summary

A technology solutions company is seeking a Cloud Data Engineer to develop and enhance data pipelines for the Department of Health and Human Services in Nebraska. The role requires expertise in tools like Azure, Databricks, SQL, and Python for modernizing analytics. Candidates should have a relevant bachelor's degree and substantial experience in data engineering, including ETL development. Strong communication and problem-solving skills are essential for this position, which also promotes a positive safety culture.

Qualifications

• Bachelor's degree in Data Analytics, MIS, Computer Science or similar.
• 3+ years of experience in data warehousing or dimensional data modeling.
• 3+ years of ETL design and development experience.

Responsibilities

• Complete analysis, design, and development of BI solutions.
• Database development in SSIS, Databricks, and SQL.
• Collaborate with developers for optimal solutions.
• Review queries and address performance issues.
• Analyze and extract relevant historical business data.
• Support design and documentation for large-scale data analyses.

Skills

Data Engineering

SQL

Python

Azure

Databricks

Power BI

ETL

Agile Scrum

Education

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

Tools

SSIS (SQL Server Integration Services)

Databricks

Job description

Job Title

Cloud Data Engineer

Location

Remote

Duration

9 Months

Experience

10+ years

Job type

C2C, W2, 1099

Interview type

Skype or Phone

Rate

DOE /If your experience and skills match call us immediately for submission

Summary

Job Description

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.