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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - Prod support - **Company:** Siri InfoSolutions Inc - **Location:** Addison, TX, United States (Remote available) - **Experience:** Expert - **Salary:** $100,000.0 - $140,000.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Amazon Web Services, Automation of Tests, Microsoft Azure, Unix, Continuous Delivery, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Transformation, Data Security, Distributed Computing Environment, Distributed Data Store, Apache Hadoop, Apache Hive, Python (Programming Language), Metadata, Microsoft SQL Server, MongoDB, Oracle (Applications), Performance Tuning, Software Engineering, SQL Databases, Data Streaming, Teradata SQL, Cloud Platform System, Test-Driven Development (TDD), Data Ingestion, Delivery Pipeline, Snowflake, Apache Spark, Git, Pyspark, Data Lineage, Deployment Automation, Data Management, Software Version Control, Data Pipelines, Databricks - **Published:** August 27, 2026 - **Apply:** https://www.careerjet.com/jobad/usbcf203070915d3a995ef6601b98a1ff8 ## About the Role Primary Skill: PySpark, Hive, Python, SQL, Hadoop Secondary: Unix, Agile, Base support Experience: 5 to 10 years Roles & Responsibilities 5 to 10 years of experience in Data Engineering, Software Engineering, or related technical discipline. Strong proficiency in Python, and SQL for advanced data transformations. Hands-on experience designing and building ETL/ELT pipelines, data ingestion processes, and distributed data processing jobs. Practical experience working with distributed data tools such as Apache Spark, Databricks, or Hadoop ecosystems. Experience building and managing datasets in relational and/or cloud based data platforms (Teradata, Snowflake, SQL Server, Azure/AWS/GCP). Solid understanding of data modeling, metadata, data quality controls, data lineage, and secure data management. Experience contributing to automated test suites, analyzing test failures, and supporting test-driven development. Knowledge of CI/CD pipelines, version control (Git), and automated deployment practices. Experience adhering to enterprise data governance, compliance, and operational risk frameworks. Ability to troubleshoot pipeline issues, performance bottlenecks, and data discrepancies. Strong communication skills and ability to collaborate across engineering, product, and business teams. Experience implementing monitoring and observability for data pipelines (logs, metrics, health checks). Advanced experience with performance tuning of SQL, Spark, or distributed data workflows. Knowledge of data security practices (encryption, masking, PII handling). Experience supporting analytical workloads, BI tools, or data science teams. Prior experience in a financial institution or other regulated industry A Data Engineer is essential to implement efficient data flows, enforce data management standards, enhance data quality, and support continuous delivery and release cycles. Without this role, the project risks delays in data readiness, gaps in data compliance, reduced quality of analytical outputs, and inability to support downstream systems effectively. Client is mainly looking for Production support ole to be able to root cause analysis of prod issues across different tech stack that we have(Hadoop, Oracle and MongoDB).Autosys knowledge, Analyze and fix performance issues, Dev work related to App Gov and other mandates. ## 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) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [40 Minutes to Build a Serverless COVID-19 REST and GraphQL APIs](https://www.wearedevelopers.com/videos/208-40-minutes-to-build-a-serverless-covid-19-rest-and-graphql-apis) - [WeAreDevelopers LIVE - Node and Package Security](https://www.wearedevelopers.com/videos/2138-wearedevelopers-live-node-and-package-security) - [Implementing continuous delivery in a data processing pipeline](https://www.wearedevelopers.com/videos/73-implementing-continuous-delivery-in-a-data-processing-pipeline) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) ## 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) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [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 to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)