Senior Data Engineer

Job overview

The Senior Data Engineer role is listed in Richmond, VA; the posting does not specify a work arrangement. Compensation is not specified. Tiger Analytics is an advanced analytics consulting firm that works with Fortune 500 companies to generate business value from data. The engineer designs and leads scalable batch and real-time data solutions that support enterprise data warehouses and analytics platforms. Reliable, efficient pipelines and engineering practices help teams turn data into usable business insights.

What you'll do

• Lead design and development of batch and real-time data pipelines using Python and SQL
• implement data solutions on AWS, Azure, or GCP
• build high-volume processing solutions using Spark, Kafka, Hadoop, EMR, or equivalent technologies
• develop streaming applications
• design data models for warehouses and analytics platforms
• work with Snowflake, Databricks, and Amazon Redshift
• optimize performance, scalability, reliability, and cost
• lead technical discussions and design reviews
• guide data engineers
• collaborate with architects, product teams, developers, and business stakeholders
• establish practices for code quality, testing, deployment, monitoring, and data quality.

What we're looking for

Skills & competencies

senior data engineer

richmond va

tiger analytics

full-time

python

sql

aws

azure

gcp

spark

kafka

snowflake

databricks

real-time data pipelines

Work arrangement

• Weekend coverage required

Benefits & perks

• Career development opportunity in a fast-growing, challenging entrepreneurial environment with individual responsibility.

Why this role

The posting requires 10+ years of application or data engineering experience and 5+ years across cloud platforms, distributed processing, streaming applications, and cloud data platforms.

About the employer

Tiger Analytics Inc. is hiring for this role. Industry: Engineering Services. Sector: 54.