Senior Data Engineer — Remote Data Pipelines & Architecture

American Exspress; Juneau (AK); Hybrid; USD 27,552 - 41,328; Full time

Benefits offered by this job

Competitive compensation

Performance incentives

6% retirement match

Tuition reimbursement

Medical, dental, vision coverage

Parental leave

Wellness centers access

Counseling services

Career development opportunities

Job summary

American Express Travel Related Administrations Organization, Inc. is hiring a Senior Data Engineer to build and optimize data pipelines, models, and governance across large-scale systems.

The role involves collaborating with product and analytics teams to translate business requirements into robust data architectures. The ideal candidate will have experience with Hadoop, Hive, Kafka, Python, and SQL, plus a four-year degree in a STEM field.

Qualifications

• Minimum of 2 years’ experience in data engineering and big data platforms.
• Experience designing and optimizing data models and data pipelines.
• Strong skills in ETL, data profiling, quality, and security.

Responsibilities

• Understand business information needs and define data requirements and sources.
• Develop data engineering solutions and maintain data models for integration with existing structures.
• Manage and evolve data models and their metadata for portfolios.
• Perform data architecture audits, support data testing, and provide production support for data pipelines.
• Plan data pipeline schedules for continuous runs and monitor performance.
• Collaborate with teams to translate data requirements into functional data models.
• Work remotely up to three days per week.

Skills

Data modeling

ETL development

Big data analytics

Data quality

Education

Bachelor's degree in Computer Science or related field

Tools

Apache Hadoop

Hive

Kafka

MemSQL

Netezza

Python

SQL

Sqoop

Linux

IBM DB2

PostgreSQL

MySQL

Job description

American Express Travel Related Administrations Organization, Inc. is hiring a Senior Data Engineer to build and optimize data pipelines, models, and governance across large-scale systems.

The role involves collaborating with product and analytics teams to translate business requirements into robust data architectures. The ideal candidate will have experience with Hadoop, Hive, Kafka, Python, and SQL, plus a four-year degree in a STEM field.