Senior Data Engineer

TA Senior Data Engineer
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We provide certainty by solving your toughest challenges.
Tiger Analytics
Employee count: 1001-5000
United States only

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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 several Fortune 100 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 analytics global consulting team in the world.

We are seeking an experienced Data Engineer to join our data team. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines, data integration processes, and data infrastructure on AWS cloud. You will collaborate closely with data scientists, analysts, and AI teams to support analytics, machine learning, and Generative AI initiatives across the organization.
Requirements
Key Responsibilities:
- Design, develop, and deploy end-to-end data pipelines on AWS using services such as Amazon S3, AWS Glue, AWS Lambda, Amazon Redshift, and related data platform technologies.
- Build and maintain scalable data processing and transformation workflows using Databricks, Apache Spark, and SQL.
- Develop and maintain Apache Airflow workflows for pipeline orchestration, scheduling, dependency management, monitoring, and automation.

- Integrate and process commercial pharmaceutical data sources such as Xponent, Veeva, MMIT, Plantrak, Specialty Pharmacy, LAAD, and similar sources.
- Build and optimize data pipelines supporting pharma KPIs, metrics, analytics, and reporting requirements.
- Design and implement data pipelines for AI/ML and Generative AI workloads, including structured and unstructured data preparation.
- Enable data pipelines supporting LLM-based applications, vector embeddings, and knowledge retrieval/RAG solutions.
- Support migration of legacy data systems and pipelines to modern AWS cloud and lakehouse architectures.
- Monitor, troubleshoot, and optimize data pipelines for performance, scalability, reliability, and cost-effectiveness.
- Ensure data pipelines meet required standards for data quality, accuracy, consistency, and operational reliability. - Communicate effectively with technical and business stakeholders to understand requirements and translate pharmaceutical business needs into scalable data solutions.

Required Skills:
- 8+ years of experience in Data Engineering, preferably with experience supporting commercial pharmaceutical/healthcare data environments.
- Strong hands-on experience with AWS cloud, Databricks, Spark, and SQL
- Strong experience building ETL/ELT data pipelines and large-scale data processing workflows.
- Hands-on experience with Apache Airflow for workflow orchestration.
- Strong understanding of data modeling, data lake/lakehouse architecture, data ingestion, and transformation frameworks.
- Deep knowledge of commercial pharmaceutical data sources: Xponent, Veeva, MMIT, Plantrak, Specialty Pharmacy, LAAD, and other commercial pharma data sources
- Strong understanding of pharmaceutical commercial data processes, including: Alignment, Allocation, Split credits, Market basket, Customer universe
- Strong understanding of pharma KPIs, metrics, and commercial analytics.
- Strong analytical, problem-solving, and data troubleshooting skills.

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, challenging, and 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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About the job
Apply before
Oct 22, 2026
Posted on
Aug 23, 2026
Job type
Full Time
Experience level
Senior

Experience

8 years minimum

Location requirements
Suggest an edit

United States

Hiring timezones
Show UTC offsets

United States +/- 0 hours

Job categories
Data Engineering Management Consulting IT Cloud Data Engineering Pharmaceutical Analytics Senior Data Engineering Data Engineer Senior Lead Data Engineering Senior Data Engineer Jobs Senior Data Engineer Positions Senior Data Analytics Engineer Senior Data Management Engineer Senior Data Operations Engineer Data Platform Engineer

Skills
AWS S3 AWS Glue AWS Lambda Amazon Redshift Databricks Apache Spark SQL Airflow ETL ELT Data Lake Architecture Lakehouse Architecture Generative AI LLM Applications RAG Solutions ETL ELT Data Modeling Data Lake Veeva

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About Tiger Analytics

Learn more about Tiger Analytics and their company culture.

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We provide certainty by solving your toughest challenges.

Problem-solving is not just about finding answers, but also about asking more questions until we know what will determine success and how to get there. Our focus is on helping you drive the right course of action, dispel ambiguity, and move ahead with confidence by bringing the best of AI and analytics together.

Tech stack

Learn about the tools and technologies that Tiger Analytics uses to build, market, and sell its products.

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React Native

Node.js

Django

.NET

JavaScript

Python

HTML5

Java

CSS 3

Go

Flask
55 more

Tiger Analytics employees can create an account to update this tech stack.

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Job expired?

Please let Tiger Analytics know you found this job on Himalayas. This helps us grow!
Apply now

About the job
Apply before
Oct 22, 2026
Posted on
Aug 23, 2026
Job type
Full Time
Experience level
Senior

Experience

8 years minimum

Location requirements
Suggest an edit

United States

Hiring timezones
Show UTC offsets

United States +/- 0 hours

Job categories
Data Engineering Management Consulting IT Cloud Data Engineering Pharmaceutical Analytics Senior Data Engineering Data Engineer Senior Lead Data Engineering Senior Data Engineer Jobs Senior Data Engineer Positions Senior Data Analytics Engineer Senior Data Management Engineer Senior Data Operations Engineer Data Platform Engineer

Skills
AWS S3 AWS Glue AWS Lambda Amazon Redshift Databricks Apache Spark SQL Airflow ETL ELT Data Lake Architecture Lakehouse Architecture Generative AI LLM Applications RAG Solutions ETL ELT Data Modeling Data Lake Veeva

Browse similar jobs
Remote Senior Data-Engineering Jobs Remote Full Time Data-Engineering Jobs Remote Senior Data-Engineering Jobs in United States Remote Full Time Jobs in United States Remote Data-Engineering Jobs in United States

Claim this profile TA Tiger Analytics

Company size

1001-5000 employees

Founded in

2011

Chief executive officer

Mahesh Kumar

Markets
AI Analytics Data Science Machine Learning Business Intelligence Consulting Big Data Predictive Analytics Technology Services Data Management

Employees live in
United States India Canada Australia Singapore United Kingdom

View company profile

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