Date Engineer needed - interview tomorrow! Conversion salary ranging from $90,000 to $120,000 per year based on experience. NO c2c

Data Engineer

The ideal candidate for the Data Engineer role should have a solid background in SQL Server development, coupled with experience in data engineering using Python, Pyspark, and Databricks. Proficiency in PowerShell scripting for automation is also essential.

Experience Requirements:

• Database Development: Demonstrated proficiency (2-5+ years) in SQL Server, including database design, writing SQL queries, and developing stored procedures.
• Data Engineering: Significant experience (2-5+ years) with object-oriented Python programming, as well as 1-2+ years of hands-on experience with Databricks and Spark (Pyspark).
• ETL and Automation: Experience (1-2+ years) using SSIS for ETL solutions and PowerShell scripting for automation, ensuring efficient data processing and workflow automation.
• Data Handling and Infrastructure: Skilled in assembling large and complex datasets that meet functional and non-functional business requirements. Ability to build robust data pipelines for efficient extraction, transformation, and loading from diverse data sources.

Responsibilities:

• Support and Administration: Assist in supporting SQL Server databases and Databricks environments, developing necessary automation processes (scripts/procedures) to ensure system compliance and operational efficiency.
• Project Ownership: Lead design review sessions, contribute to testing and validation feedback, and take ownership of projects from requirement gathering to documentation for internal and end-user use.
• Process Improvement: Identify, design, and implement process improvements, including automating manual processes and optimizing data delivery and infrastructure for scalability.
• Data Integration: Build infrastructure to facilitate optimal data extraction, transformation, and loading across SQL, Databricks, and other platforms.
• Collaboration: Capable of working collaboratively with cross-functional teams in dynamic environments to achieve project goals and operational objectives.

Qualifications:

• Education: Bachelor’s degree in a relevant field.
• Experience: Minimum of 1-2 years in a data-related role, encompassing both database development and data engineering responsibilities.
• Technical Skills: Strong proficiency in SQL Server, Python, Pyspark, Databricks, SSIS, and PowerShell scripting. Familiarity with cloud platforms such as AWS, Azure, or GCP is desirable.
• Skills Set: Exposure to data models, data mining techniques, and understanding of data pipelines involving REST, SOAP, FTP, HTTP, and ODBC protocols.

Additional Considerations:

• This position is remote, operating on Eastern Standard Time (EST).
• Candidates must be U.S. citizens, permanent residents (Green Card holders), or hold GC-EAD status; OPT, CPT, or H4 EAD holders are not eligible.
• Contract-to-hire opportunity with a competitive hourly rate and potential conversion salary ranging from $90,000 to $120,000 per year based on experience.