Find jobs
Pricing
Free Resume Checker
Sign in
Sign up
FIND JOBSPRICINGFREE RESUME CHECKERSIGN INSIGN UP
Jobs
/Data Engineer jobs
Tiger Analytics Inc.

Senior Data Engineer

LocationDallas, Texas, United States
Typefull-time
SenioritySenior
Experience2+ yrs
DepartmentData Engineering
Company size5,001–10,000 people
First seenOct 5, 2026 · 6d ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
Must have12
4+ years of experience building or operating enterprise-scale data pipelines and orchestration systems
4+ years of data or application engineering experience with Java, Python, and SQL
4+ years of experience building and operating real-time or event-driven data systems
4+ years of experience with distributed data and computing technologies such as Kafka, Spark, EMR, Hadoop, or equivalent
4+ years of experience working with cloud data warehouse/data platforms at scale
4+ years of experience with at least one major cloud platform: AWS, Azure, or GCP
3+ years of experience with workflow orchestration and scheduling tools such as Airflow, Control-M, Autosys, Step Functions, or equivalent
2+ years of experience implementing secure secrets and credential management in production environments
2+ years of experience working in Agile engineering teams
Strong understanding of distributed systems, data processing, and enterprise data architecture principles
Familiarity with data observability, including monitoring, alerting, SLA management, pipeline health, and data quality
Strong problem-solving, communication, and collaboration skills
Eligibility1
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.
Skills
Kafka
Spark
EMR
Hadoop
Java
Python
SQL
Airflow
Control-M
Autosys
AWS
Azure
GCP
About the company
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.
About the role
Tiger Analytics is looking for an experienced Data Engineer to design, build, and operate large-scale batch and real-time data pipelines that power enterprise data and analytics platforms.
You will work closely with Agile engineering, architecture, and product teams to build reliable, scalable data solutions spanning data ingestion, transformation, orchestration, event streaming, and downstream data delivery. The ideal candidate is someone who enjoys solving complex data engineering problems and building highly available systems that operate at enterprise scale.
Responsibilities
Key Responsibilities:
•
Design and develop high-volume batch and real-time data pipelines for enterprise applications and analytics platforms.
•
Build end-to-end data solutions covering ingestion, transformation, orchestration, streaming, and downstream delivery.
•
Develop event-driven and real-time data processing solutions using technologies such as Kafka and Spark.
•
Build scalable data processing solutions using distributed computing frameworks such as Spark, EMR, Hadoop, or equivalent technologies.
•
Develop applications and data solutions using Java, Python, and SQL.
•
Implement and manage workflow orchestration and scheduling for complex data pipelines.
•
Work with cloud data warehouse and cloud-native data platforms to support enterprise-scale workloads.
•
Design solutions with a strong focus on reliability, scalability, performance, security, and low latency.
•
Implement secure approaches for secrets management, credentials, and service-to-service authentication in production environments.
Requirements
•
4+ years of experience building or operating enterprise-scale data pipelines and orchestration systems.
•
4+ years of data or application engineering experience with Java, Python, and SQL.
•
4+ years of experience building and operating real-time or event-driven data systems.
•
4+ years of experience with distributed data and computing technologies such as Kafka, Spark, EMR, Hadoop, or equivalent.
•
4+ years of experience working with cloud data warehouse/data platforms at scale.
•
4+ years of experience with at least one major cloud platform: AWS, Azure, or GCP.
•
3+ years of experience with workflow orchestration and scheduling tools such as Airflow, Control-M, Autosys, Step Functions, or equivalent.
•
2+ years of experience implementing secure secrets and credential management in production environments.
•
2+ years of experience working in Agile engineering teams.
•
Strong understanding of distributed systems, data processing, and enterprise data architecture principles.
•
Familiarity with data observability, including monitoring, alerting, SLA management, pipeline health, and data quality.
•
Strong problem-solving, communication, and collaboration skills.
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.
Legal
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.
More roles at Tiger Analytics Inc.
Sr. Analytics ConsultantSr. Analytics ConsultantBusiness Analyst (Financial Crime Compliance)UI Path + Azure AI EngineersSr. Manager/ Associate Director - Engagement Lead (CPG/Retail)
Seekless
Seek less: one search across companies' own career pages, instead of a dozen job boards.
Product
Find jobsCompaniesPricingFree Resume CheckerBlog
Legal
AboutPrivacyTermsCookies
© 2026 SEEKLESS. ALL RIGHTS RESERVED.BUILT WITH CARE