> Markdown version of [/jobs/ext/2986641-data-engineer](https://www.wearedevelopers.com/jobs/ext/2986641-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:** AgileEngine, LLC - **Location:** Austin, TX, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Airflow, Amazon Web Services, Big Data, Cloud Computing, Continuous Integration, Data Validation, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Systems, Python (Programming Language), Query Optimization, Standard Sql, SQL Databases, Workflow Management Systems, Datadog, Google Cloud, Cloud Platform System, Snowflake, Infrastructure Automation Frameworks, AWS Glue, AWS Data Analytics, Cloud Optimization, Restful APIs, Terraform, Software Version Control, Data Pipelines - **Published:** September 18, 2026 - **Apply:** https://www.dice.com/job-detail/9e04ee2c-fa4c-4b69-850f-527c81dbc7ca ## About the Role If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!, You must be authorized to work for ANY employer in the US (e.g., s, TN visa holders, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time; - 4+ years of experience in Data Engineering roles. - Strong Data Engineering foundation with proven experience building and maintaining end-to-end ELT/ETL pipelines in cloud environments. - Strong SQL and Python. - Experience with orchestration tools such as dbt, Airflow, or Dagster. - AWS data ecosystem experience, including AWS Glue, Amazon Athena, and Amazon Aurora. - Experience with Snowflake. - Strong data modeling and large-scale data processing experience. - Experience with CI/CD, version control, Infrastructure as Code (Terraform), and REST API integrations. - Demonstrated ability to optimize data pipelines for performance and cost. - Strong analytical skills with experience in data validation, auditing, and troubleshooting production pipelines. - Upper-intermediate English level. NICE TO HAVES - Scala experience. - FinOps Foundation Certification (Practitioner or Engineer). - Experience with cloud cost optimization, tagging strategies, or cost monitoring. - Experience with AWS and Google Cloud Platform. Experience with Datadog. - Background in data platform or shared infrastructure engineering. ## Description We are looking for a Senior Data Engineer to design and maintain data pipelines and automation systems that power cloud cost visibility, attribution, and performance insights for a Cloud Economics team. You will build scalable ELT/ETL workflows using Python, SQL, dbt, and Airflow across AWS services including Glue, Athena, and Aurora alongside Snowflake, optimizing for performance, reliability, and cost efficiency. The role partners closely with Engineering and Finance stakeholders to support cost optimization initiatives and usage-based decision-making. WHAT YOU WILL DO - Design, build, and maintain the Cloud Economics team's data pipelines and automation systems. - Build and maintain scalable data pipelines and datasets that power cloud cost visibility, attribution, and performance insights. - Design and implement data models and ingestion frameworks to support large-scale telemetry and usage data. - Develop tooling that enables cost-aware decision-making across Product, Engineering, and Finance stakeholders. - Optimize data systems for performance, reliability, and cost efficiency (query tuning, storage strategies, compute optimization). - Partner with Engineering and Finance teams to support cost optimization initiatives and usage-based insights. - Ensure data quality, validation, and auditability across end-to-end data workflows. ## 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) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Debugging in the Dark](https://www.wearedevelopers.com/videos/1658-debugging-in-the-dark) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Software Engineering Social Connection: Yubo’s lean approach to scaling an 80M-user infrastructure](https://www.wearedevelopers.com/videos/1583-software-engineering-social-connection-yubo-s-lean-approach-to-scaling-an-80m-user-infrastructure) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) ## Related Articles - [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) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Where To Find Software Engineering Jobs](https://www.wearedevelopers.com/magazine/396-where-to-find-software-engineering-jobs)