Data Engineer (Mid-Level) or Database Admin
Title: Data Engineer (Mid-Level) or Database Admin (Cloud/MySQL w/ some ETL experience)
Location: Remote (Must live in EST/CST Time Zone only)
Duration: 1 year contract (however likely will convert sometime in 2026)
Only on w2
Projects in Pipeline
• Migration of several MySQL Database
• Database Migrations:
• MySQL, PostgreSQL, MariaDB, DocumentDB, AWS Redshift
• Data modeling and transformation for Redshift
• ETL/ELT Processes:
• Handling data format inconsistencies
• Using custom Python/Java code and orchestration tools for job creation and scheduling
• Ad Hoc Tasks:
• Example: Moving SharePoint files into a database for analytics
• Other Responsibilities:
• Spinning up databases based on data models
• Light data modeling (table relationships)
• Operational tasks (e.g., patching)
Job Description
Technical Expertise:
• Primary role in recent positions must be as a Data Engineer or Database Administrator
• Working experience in public cloud is strongly preferred (AWS, Azure)
• Experience with at least one programming language (e.g. Python) and some scripting experience (e.g., Bash/Shell) is a strong plus
• Experience with data warehouse platforms like Redshift, Snowflake or BigQuery is desired
• Familiarity with DevOps practices and CI/CD pipelines for data engineering (using Flyway, Liquibase) is preferred
• Knowledge of ETL tools and frameworks is strongly desired
• Ability to analyze complex data sets and identify patterns or trends
• Problem-solving skills to address data-related challenges
• Ability to assess and improve data quality through validation and cleansing processes
• A technical mindset focused on automating processes to reduce manual toil
Business and Leadership Expertise:
• Comfortable working with different Agile software development methodologies
• Demonstrated strong leadership and analytical skills
• Strong communication and collaboration skills to work effectively with cross-functional teams
• Proactively identifies and removes project obstacles or barriers on behalf of the team
• Ability to determine the most effective way to integrate disparate systems to optimize operational processes
• Ability to evaluate technology trends to drive features and roadmaps
• Attention to detail and a commitment to delivering high-quality solutions
Qualifications:
• Bachelor’s degree from accredited university or college with minimum of 2 years of professional experience OR Associates degree with minimum of 5 years of professional experience OR High School Diploma with minimum of 7 years of professional experience.
• A minimum of 1 year of experience managing databases/data warehouses, including administration and optimization is required.
• A minimum of 2 years of experience working in data engineering and proficiency in SQLs is required.
• A minimum of 2 years of experience managing Database Infrastructure for Digital Workplace.
• A minimum of 2 years of experience developing Data pipelines & ETL jobs using tools such as Talend, Rundeck or AWS Glue.