Senior Data Engineer
Tiger Analytics Inc. Open · verified Oct 24, 2026 At a glance
Senior Data Engineering role at Tiger Analytics Inc. Richmond · full-time · no salary stated · we estimate $142,500–$193,650 across the United States.
Tiger Analytics Inc. has not published a salary for this role. The figure below is our estimate, not theirs.
dataroles summary, based on the employer's posting.
What you'll do
- Build batch and live-data pipelines with Python and SQL, then tune them for scale, reliability and cost
- Create data solutions on AWS, Azure or GCP and process large workloads with distributed technologies
- Develop streaming applications and data models for warehouses and analytics platforms
- Lead design reviews, guide other data engineers and turn stakeholder needs into technical solutions
- Set practices for code quality, testing, deployment, monitoring and data quality
What you bring
- At least ten years in application or data engineering using Python and SQL
- Five or more years on a major cloud platform, plus distributed processing and streaming systems
- Five or more years with cloud data warehouses and modeling data for analytics
Who this fits
This senior technical leadership role suits someone who remains hands-on while guiding other data engineers. The role is based onsite in Richmond, United States.
From the employer
Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.
Tiger Analytics is looking for an experienced Lead Data Engineer to design, build, and optimize scalable data platforms and real-time data solutions. The ideal candidate will have strong hands-on expertise in Python, SQL, cloud platforms, distributed data processing, streaming technologies, and modern cloud data warehouses.
Key Responsibilities:
- Lead the design and development of scalable batch and real-time data pipelines using Python and SQL.
- Design and implement data solutions on AWS, Azure, or GCP.
- Build high-volume data processing solutions using Spark, Kafka, Hadoop, EMR, or equivalent distributed technologies.
- Develop and optimize real-time and event-driven streaming applications.
- Design data models and structures supporting enterprise data warehouses and analytics platforms.
- Work with modern cloud data platforms such as Snowflake, Databricks, and Amazon Redshift.
- Optimize data pipelines and processing workloads for performance, scalability, reliability, and cost efficiency.
- Lead technical discussions, design reviews, and provide guidance to other data engineers.
- Collaborate with architects, product teams, application developers, and business stakeholders to translate requirements into scalable data solutions.
- Establish engineering best practices around code quality, testing, deployment, monitoring, and data quality
Requirements
- 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.
- 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.
Benefits
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.
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