Senior Data Analytics Engineer

Job Title: Senior Data Analytics Engineer

Job Type: Direct Hire

Location: Onsite in Plano, TX

Salary Range: $105,000-120,000

Our client is only able to work with W2 candidates at this time (US Citizen or Green Card Perm Residents)

Our client is looking for a senior level Data Analytics Engineer who is well versed Python, SQL, GIT, AWS, Data Orchestration tools (such as Airflow or Jenkins), and Pandas. This person will have the curiosity about how things work and tenacity to learn and bring new perspective and the ambition for growth.

Who You Are:

• Keen problem-solving abilities and strong attention to detail.
• Has the interpersonal skills necessary to work well with others in teams and collaborative work situations.
• Passion for building and maintaining data pipelines/workflows.
• Possesses a desire and ability to learn new skills/technologies.

What You’ll Need:

• Practical experience with SQL (preferably MySQL, MariaDB, or PostgreSQL), data modeling/data warehousing, and Python.
• Practical experience with visualization libraries and tools such as matplotlib, Plotly, Tableau, Power BI, Looker, or Superset.
• Basic understanding of predictive analytics, statistical modeling, and data mining (theory, algorithms, and application).
• Understanding of cloud-based technologies such as AWS, GCP, or Azure.
• Salesforce and/or marketing experience is a preferred, but not required.

What you’ll work on:

• Creates and maintains data pipeline architectures to meet continuing needs of stakeholders.
• Solve novel and complex business problems with high quality maintainable code.
• Ensures data is prepared for easy visualization and reporting.
• Data gathering from a variety of sources.
• Express complex, technical topics to management, peers, and others who may not possess a strong data background. Explain deep or technical topics in easy-to-understand terms.
• Design, develop and maintain scaled, automated, user-friendly systems, reports, dashboards, and other tools to support our stakeholders' needs. Relentlessly focused on minimizing defects and technical debt.
• Advocate for leading data practices and make sure that our business users make data driven decisions.
• Provide high quality documentation.