Senior Data Engineer: AI-Powered Data Pipelines

Hispanic Alliance for Career Enhancement; Chicago (IL); On-site; USD 135,000 - 170,000; Full time

Benefits offered by this job

Annual allotment of free hotel stays

Flexible work schedule

Wellbeing benefits like Headspace subscription

Paid Time Off, Medical, Dental, Vision, 401(k) with company match

Job summary

Hyatt is seeking an experienced Senior Data Engineer in Chicago to build data pipelines and enhance analytics capabilities. The role requires 8+ years of experience in data engineering, proficiency in AWS, SQL, and strong problem-solving skills. Ideal candidates will collaborate with diverse teams to deliver data-driven solutions in a fast-paced environment. The position offers a competitive salary range of $135,000-$170,000, along with potential bonus opportunities and a flexible work schedule.

Qualifications

• 8+ years of experience in data engineering or related technical work.
• Experience building scalable data pipelines.
• Hands-on experience with AWS technologies.

Responsibilities

• Collaborate with teams to define product features.
• Support operational reporting and data pipelines.
• Work with high volumes of data and solve complex problems.

Skills

Data pipeline design

Data warehousing concepts

Cloud solutions (AWS)

SQL

Data cleansing

Programming (Python)

Education

Bachelor's degree in Computer Science or related field

Tools

AWS (Glue, Lambda, Kinesis)

Tableau

Snowflake

Job description

Hyatt is seeking an experienced Senior Data Engineer in Chicago to build data pipelines and enhance analytics capabilities. The role requires 8+ years of experience in data engineering, proficiency in AWS, SQL, and strong problem-solving skills. Ideal candidates will collaborate with diverse teams to deliver data-driven solutions in a fast-paced environment. The position offers a competitive salary range of $135,000-$170,000, along with potential bonus opportunities and a flexible work schedule.