Remote Senior Data Engineer

Angenex; California (MD); Remote; USD 90,000 - 120,000; Full time

Job summary

An early stage startup is seeking a savvy Senior Data Engineer to join their growing team. The role involves expanding and optimizing data pipeline architecture, critical for their machine learning platform. Candidates should have at least 1 year of experience in data engineering, demonstrating proficiency in Python and advanced SQL. Knowledge in managing data warehouses and ETL pipelines is essential. This position offers an exciting opportunity as the company emerges from stealth mode with new machine learning products and growing enterprise customers.

Qualifications

• Minimum of 1 year of experience in data engineering or analytics engineering.
• Emphasis on large scale data management and processing systems.
• Experience with common SQL RDBMS and NoSQL systems.

Responsibilities

• Build and deploy data pipelines for the machine learning platform.
• Develop warehouse architectures integrating diverse data sources.
• Design analytics solutions for product development and internal teams.

Skills

Python

Advanced SQL

ETL pipelines

Data modeling

Managing data warehouses

Meltano

dbt

Airflow

Superset

Docker

Git

AWS

Job description

About the job Remote Senior Data Engineer

Job Description

We are looking for a savvy Data Engineer to join our growing team of data experts. The hire will be responsible for expanding and optimizing our data pipeline architecture, as well as optimizing data flow and collection for cross functional teams.

Responsibilities

Build and deploy the data pipelines that power Companys machine learning platform.

Develop warehouse architectures that integrate data from diverse sources.

Design analytics solutions for both product development and internal collaborators.

Qualifications

Experience:

A minimum of 1 years experience in data engineering, analytics engineering, or software engineering with an emphasis on large scale data management and processing systems.

Proficiency in Python and advanced SQL.

Advanced experience with ETL pipelines, data modeling and managing data warehouses (Snowflake, BigQuery, Redshift, etc).

Experience with SQL RDBMS such as MySQL, Postgres, Oracle, SQL Server, etc., as well as NoSQL systems such as MongoDB is required.

Experience with tools including Meltano, dbt, Airflow, and Superset is required.

Experience with Docker, Git and AWS (EC2, ECS, S3, Step Functions, and Athena).

Analytics and Business Intelligence knowledge is highly preferred.

Experience working with common SaaS APIs (such as CRMs) is preferred.

Additional Information

Company is an early stage startup that is growing rapidly and recently closed a successful round of venture funding. We are emerging from stealth and with an exciting series of machine learning products and a rapidly growing number of enterprise customers.

All your information will be kept confidential according to EEO guidelines.