Mid Level Software Database Engineer 2 - 152752-1

Lucid Consulting Group; United States; Remote; USD 60,000 - 80,000; Full time

Job summary

An innovative firm is seeking a Mid Level Software Database Engineer to join their Data Pipeline team. This role involves working with cutting-edge technologies such as Azure Synapse Analytics and Data Factory to build scalable ETL processes and data pipelines. The ideal candidate will have extensive experience in SQL and Big Data Analytics, contributing to the development of high-quality data architecture. This position offers a unique opportunity to impact data-driven decision-making in a dynamic environment, making it an exciting prospect for data enthusiasts.

Qualifications

• 5+ years experience with SQL and scalable ETL processes.
• Experience with modern Big Data Analytics and cloud-hosted data systems.

Responsibilities

• Build ETLs and processes in Databricks and Data Factory.
• Create pipelines and data models for studio decision-making.

Skills

SQL

ETL Processes

Big Data Analytics

Data Lake

Azure Data Factory

Spark

Tools

Azure Synapse Analytics

Azure Data Explorer

Databricks

Data Factory

Job description

Mid Level Software Database Engineer 2 - 152752-1

Job Openings: Mid Level Software Database Engineer 2 - 152752-1

About the job: Mid Level Software Database Engineer 2 - 152752-1

Job Title: Mid Level Software Database Engineer 2 - 152752-1
Location: remote
Schedule: M-F, 40 HR, 100 hours of OT buffer.
Duration/Start Date: 5/22/2025
Salary: $44 - 49.90/hr

Candidates with previous experience working at Microsoft Corporation, either as a full-time employee (FTE) or contractor, are strongly preferred.

Summary:

Data Engineer:
Turn 10 Studios is looking for a Data Engineer to join the Data Pipeline team. You will work on modern technologies like Azure Synapse Analytics and Azure Data Explorer, building ETLs and processes in Databricks and Data Factory. Your role involves creating state-of-the-art pipelines and data models for studio decision-making, working with large-scale lakehouse and warehouse analytics systems that process real-time and batch data feeds. Your customers will include business, design, test, and development teams, and you will help shape data capture to enhance data-driven development practices.
The ideal candidate will have an eye for detail and modern engineering practices, contributing to building and supporting a high-quality, scalable data architecture.

Qualifications:

• 5+ years experience with SQL
• 5+ years experience designing and implementing scalable ETL processes, including data movement (Azure Data Factory) and quality tools
• 3+ years experience with modern Big Data Analytics using Data Lake, Spark, and formats like Parquet
• 2+ years experience building cloud-hosted data systems, with a preference for Azure

Preferred:

• Experience building data pipelines in Azure Data Factory, Synapse Analytics, Spark
• Experience working with data in Delta Lake format and from Azure Data Explorer/Kusto