Data Engineer

Tree Top Staffing LLC; United States; On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

Medical insurance

Vision insurance

401(k)

Paid maternity leave

Paid paternity leave

Job summary

A recruitment services company is seeking a Lead Data Engineer to manage an Enterprise Data Warehouse and ensure the efficient flow of data. The ideal candidate will implement data processes, manage data architecture, and analyze data for business insights. Key qualifications include extensive experience in data management, a strong computer science background, and excellent communication skills. Benefits include medical and vision insurance, a 401(k), and paid parental leave.

Qualifications

• Experience in data architecture and data quality management required.
• Strong background in computer science and software development methodologies.
• Excellent SQL skills are mandatory.

Responsibilities

• Implement data processes for the Data Warehouse.
• Manage Data Engineering architecture updates.
• Design and implement ETL processes.

Skills

Data architecture

ETL

SQL

Programming (Python)

Data quality

Collaboration

Tools

Redshift

APIs

Git

Linux

AWS

Google Cloud

Job description

Direct message the job poster from Tree Top Staffing LLC

Chief Talent Officer @ Tree Top Staffing LLC | Contract & Direct Hire Recruitment Solutions

We are looking for a Lead Data Engineer who will be responsible for managing an Enterprise Data Warehouse and ensuring the efficient flow and quality of data.

Your tasks will include implementing data processes, managing data architecture, designing ETL processes, and analyzing data for business insights. You will also make data accessible through various platforms and consult internal teams on data usage.

This role is ideal for someone with extensive experience in data management, a strong background in computer science, and excellent communication skills.

Responsibilities:

• Implement data processes for the Data Warehouse and internal systems
• Manage and update Data Engineering architecture
• Implement processes for data accuracy and reconciliation
• Design and implement ETL processes
• Make data available through reporting platforms
• Analyze data and communicate insights to stakeholders

Qualifications:

• Experience in data architecture, data quality, metadata management, ETL, analytics, reporting, and database administration
• Strong computer science background and knowledge of software development methodologies
• Excellent knowledge of SQL
• Programming experience in a modern language (ideally Python)
• Diligent, rigorous, and collaborative
• Bonus: Experience in Project Management, Business Analysis, Consulting, Operations, Statistical analysis, Quality Assurance
• Familiarity with Redshift, APIs, Git, Linux, AWS, Google Cloud is a plus

Seniority level: Not Applicable

Employment type: Full-time

Job function: Information Technology, Engineering, and Other

Industries: IT System Data Services, Data Infrastructure and Analytics, and Consumer Services

Benefits:

• Medical insurance
• Vision insurance
• 401(k)
• Paid maternity leave
• Paid paternity leave

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