Senior Data Engineer: Remote Cloud Analytics & Pipelines

AHEAD; United States; Hybrid; USD 120,000 - 150,000; Full time

Benefits offered by this job

Medical, Dental, and Vision Insurance

401(k)

Paid company holidays

Paid time off

Paid parental and caregiver leave

Job summary

A dynamic technology firm is seeking an experienced Senior Data Engineer to manage and optimize Big Data and cloud environments for analytics and data science. In this role, you will design and build robust data pipelines, collaborate with project teams, and communicate effectively with leadership. Ideal candidates will have over 8 years of experience in data architecture, strong Python skills, and proficiency in cloud environments. Competitive benefits including medical and paid leave are offered.

Qualifications

• 8+ years of professional technical experience.
• 4+ years of hands-on Data Architecture and Data Modelling.
• 4+ years of experience building highly scalable data solutions using Hadoop, Spark, Databricks, and Snowflake.
• 4+ years of programming experience in Python.
• 2+ years of experience in AWS and/or Azure cloud environments.
• Strong client-facing communication and facilitation skills.

Responsibilities

• Design, build, and monitor data processing systems.
• Create automated pipelines for data ingestion and processing.
• Implement applications using tools like Kinesis and Lambda for streaming.
• Support data structures like SQL and NoSQL databases.
• Manage ELT processes for data lakes.
• Develop APIs for data retrieval.
• Collaborate with scrum teams to deliver within sprint timelines.
• Research data questions and engage with business users.

Skills

Python

Cloud

Linux

Windows

NoSQL

Git

ETL/ELT

Spark

Hadoop

Data Warehouse

Data Lake

Snowflake

SQL/RDBMS

OLAP

Data Engineering

Tools

Hadoop

Databricks

Snowflake

Job description

A dynamic technology firm is seeking an experienced Senior Data Engineer to manage and optimize Big Data and cloud environments for analytics and data science. In this role, you will design and build robust data pipelines, collaborate with project teams, and communicate effectively with leadership. Ideal candidates will have over 8 years of experience in data architecture, strong Python skills, and proficiency in cloud environments. Competitive benefits including medical and paid leave are offered.