Senior Data Engineer, Snowflake

Presidio; Brentwood (TN); Remote; USD 100,000 - 130,000; Full time

Job summary

A leading company is seeking a Senior Data Engineer to optimize and redesign data systems. This fully remote role involves creating data pipelines, developing analytics tools, and collaborating with stakeholders. Ideal candidates will have strong experience with AWS and SQL, along with a Bachelor's degree or equivalent experience.

Qualifications

• Several years of advanced SQL knowledge and experience with relational databases.
• Experience developing data pipelines running on Spark.

Responsibilities

• Create and maintain optimal data pipeline architecture.
• Build analytics tools to provide actionable insights.

Skills

AWS Data Analytics

SQL

Spark

Communication

Education

Bachelor's degree

Tools

Snowflake

Tableau

Qlik

Job description

As a Senior Data Engineer, you will be optimizing data systems and building them from the ground up or even re-designing existing data architecture to support the next generation of products and data initiatives.

This is a fully remote role.

Job Responsibilities :

1. Create and maintain optimal data pipeline architecture.
2. Assemble large, complex data sets that meet functional / non-functional business requirements.
3. Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.

Required Skills :

1. Strong work experience on AWS Data Analytics stack - EMR, Redshift, Kinesis / managed Kafka, Glue.
2. Experience with Snowflake in workflow.
3. Experience with other dashboarding solutions like Tableau, Qlik and / or similar programs is a plus.
4. SQL Knowledge.
5. Data Pipelines running on Spark.

Additional Desired Skills :

1. Experience on Azure and GCP data stack is definitely a plus.
2. Strong communication skills to work with technical and non-technical stakeholders.

Education and Experience :

1. Bachelor's degree or equivalent experience and / or military experience.
2. Several years of advanced SQL knowledge and experience working with relational databases, query authoring (SQL), and working familiarity with a variety of databases.
3. Several years of work experience in developing data pipelines running on Spark.
4. Several years of work experience developing greenfield and legacy data modernization projects on Snowflake.