> Markdown version of [/jobs/ext/2433093-senior-data-engineer](https://www.wearedevelopers.com/jobs/ext/2433093-senior-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Engineer - **Company:** Tiger Analytics - **Location:** Dallas, TX, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Sql Data Warehouse, Java (Programming Language), Airflow, Applications Architecture, CA Workload Automation Ae, Microsoft Azure, Data Architecture, Information Engineering, Data Systems, Distributed Computing Environment, Distributed Data Store, Distributed Systems, Apache Hadoop, Python (Programming Language), Cloud Services, DataOps, Scaled Agile Framework, SQL Databases, Workflow Management Systems, Data Processing, Enterprise Software Applications, Data Ingestion, Apache Spark, State Machines, Electronic Medical Records, Low Latency, Apache Kafka, Data Management, Data Delivery, Stream Processing, Data Pipelines, Control M - **Published:** August 9, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=ef0e8dc68e7083df ## About the Role * 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. ## Description 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., * 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. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Brewing Tea over the Internet](https://www.wearedevelopers.com/videos/697-brewing-tea-over-the-internet) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Business Strategies for Scaling European Tech](https://www.wearedevelopers.com/videos/1694-business-strategies-for-scaling-european-tech) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) ## Related Articles - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk)