> Markdown version of [/jobs/ext/3465774-data-engineer](https://www.wearedevelopers.com/jobs/ext/3465774-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). --- # Data Engineer - **Company:** LTM Inc - **Location:** Irving, TX, United States - **Salary:** $72,720.0 - $82,594.0 - **Contract:** Internship / Graduate position - **Skills:** Airflow, Data Analysis, Bash Shell, Command-Line Interface, Data Validation, Extract Transform Load (ETL), Database Queries, Linux, File Systems, Perl (Programming Language), Apache Hive, Python (Programming Language), Korn Shell, Shell Script, Apache Spark, Data Delivery, Data Pipelines, Databricks - **Published:** September 17, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=d47b5a1d32f4c1e6 ## About the Role * Expertise in Designing and developing scalable Apache spark ETL based Data processing pipelines. * Strong command line knowledge in Unix Linux with Shell scripting using Bash Korn shell or Perl and File processing using awk scripts. * Expertise in SQL querying and complex joins. * Implementing comprehensive Spark based Data validation frameworks transforming large volumes of financial data within the Project lifecycle. * Expertise with complex Data workflows with Apache AirFlow managing task dependencies SLAs etc to ensure timely data delivery and corresponding automated validation controls. * Strong Analytical skills and expertise on Spark SQL for Data analysis and validation ensuring the delivery of clean query ready datasets for business consumption. * Expertise in Data quality checks and monitoring. Skills Mandatory Skills : Apache Spark, Databricks Python, SparkSQL ## Related Videos - [Fully Orchestrating Databricks from Airflow](https://www.wearedevelopers.com/videos/336-fully-orchestrating-databricks-from-airflow) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker) - [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) - [Docker exec without Docker](https://www.wearedevelopers.com/videos/1094-docker-exec-without-docker) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) ## Related Articles - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [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)