> Markdown version of [/jobs/ext/2007611-data-engineer](https://www.wearedevelopers.com/jobs/ext/2007611-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:** Rysun Labs INC
- **Location:** Houston, TX, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, BigQuery, Cloud Computing, Continuous Integration, Data Validation, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Data Systems, Data Warehousing, Database Design, Apache Hadoop, Python (Programming Language), Machine Learning, Meta-Data Management, SQL Databases, Unstructured Data, Data Processing, Cloud Platform System, Snowflake, Apache Spark, Database Performance, Git, Data Lakes, Pyspark, Apache Kafka, Data Management, Video Streaming, Stream Processing, Azure Synapse Analytics, Software Version Control, Data Pipelines, Amazon Redshift, Databricks
- **Published:** August 9, 2026
- **Apply:** https://www.wayup.com/i-j-Data-Engineer-Rysun-Labs-Inc-431953669661997/

## About the Role

We are seeking a skilled and motivated Data Engineer to design, build, and maintain scalable data pipelines and data platforms that support business intelligence, analytics, and data-driven decision-making. The ideal candidate will have strong experience in data engineering, cloud technologies, ETL/ELT development, and data warehousing, along with a passion for delivering high-quality data solutions., 4-7 years of experience in Data Engineering or related roles.
Strong expertise in SQL and database design concepts.
Hands-on experience with ETL/ELT tools and data integration frameworks.
Experience with cloud platforms such as AWS, Azure, or GCP.
Strong knowledge of Data Warehousing, Data Modeling, and Data Lake architectures.
Proficiency in Python, PySpark, or Scala for data processing.
Experience with Big Data technologies such as Spark, Databricks, Hadoop, or Kafka.
Knowledge of CI/CD, version control (Git), and automation best practices.
Strong analytical, problem-solving, and communication skills.
Preferred Qualifications
Experience with Databricks, Snowflake, Redshift, Synapse, or BigQuery.
Familiarity with data governance, metadata management, and data quality frameworks.
Exposure to real-time data processing and streaming technologies.
Experience working in Agile/Scrum environments.

## Description

Design, develop, and maintain scalable ETL/ELT pipelines for structured and unstructured data.
Build and optimize data integration workflows from multiple data sources.
Develop and manage data warehouses, data lakes, and cloud-based data platforms.
Collaborate with Data Analysts, Data Scientists, Product Managers, and business stakeholders to understand data requirements.
Ensure data quality, integrity, governance, and security across enterprise systems.
Optimize SQL queries, database performance, and data processing workflows.
Monitor and troubleshoot data pipeline issues and implement performance improvements.
Support reporting, analytics, and machine learning initiatives by providing reliable datasets.
Implement data validation, monitoring, and automation processes.
Participate in Agile development processes and technical design discussions.


## Related Videos

- [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data)
- [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology)
- [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)
- [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail)
- [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning)

## Related Articles

- [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)
- [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know)
- [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)
- [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk)
- [Software Engineer Salary London](https://www.wearedevelopers.com/magazine/252-software-engineer-salary-london)