Senior Data Engineer at Tiger Analytics

Department: Data Engineering

Setup: Hybrid
Location: Richmond, Virginia
Type: Full-time
Level: not_specified
Posted: Aug 18, 2026

Description

Tiger Analytics is seeking an experienced Lead Data Engineer to design, build, and optimize scalable data platforms and real-time data solutions. The role involves leading the development of data pipelines, implementing data solutions on major cloud platforms like AWS, Azure, or GCP, and optimizing data processing for performance and cost-efficiency. The ideal candidate will possess extensive experience in Python, SQL, distributed data processing technologies, and cloud data warehouses.

Required Skills

Python
SQL
cloud platforms
distributed data processing
streaming technologies
modern cloud data warehouses

Additional Information

Required Previous Experiences: 10+ years of experience in application/data engineering using Python and SQL.
5+ years of experience working with at least one major public cloud platform: AWS, GCP, or Azure.
5+ years of experience with distributed data processing technologies such as Spark, Kafka, Hadoop, EMR, MapReduce, or equivalent.
5+ years of experience building and supporting real-time data and streaming applications.
5+ years of experience with cloud data warehouses/platforms such as Snowflake, Databricks, or Redshift.
5+ years of experience with data modeling for data warehousing and analytics.
Preferred Qualifications: Strong understanding of data engineering, distributed computing, data pipelines, and cloud architecture.
Strong problem-solving and communication skills with the ability to provide technical leadership.
Translation Company Name: Tiger Analytics Inc.

Benefits & perks

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy,
national origin, ancestry, marital status, protected veteran status, disability
status, or any other basis as protected by federal, state, or local law.