More jobs:
Data Engineer
Job in
Austin, Travis County, Texas, 78716, USA
Listed on 2026-01-01
Listing for:
Interactive Resources - iR
Full Time
position Listed on 2026-01-01
Job specializations:
-
IT/Tech
Data Engineer, Cloud Computing
Job Description & How to Apply Below
Interactive Resources - iR provided pay range
This range is provided by Interactive Resources - iR. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range$/yr - $/yr
Additional compensation typesAnnual Bonus
About the RoleWe are seeking a highly skilled Databricks Data Engineer with strong expertise in modern data engineering, Azure cloud technologies, and Lakehouse architectures. This role is ideal for someone who thrives in dynamic environments, enjoys solving complex data challenges, and can lead end-to-end delivery of scalable data solutions.
What We're Looking For- 8+ years designing and delivering scalable data pipelines in modern data platforms
- Deep experience in data engineering, data warehousing, and enterprise‑grade solution delivery
- Ability to lead cross‑functional initiatives in matrixed teams
- Advanced skills in SQL, Python
, and ETL/ELT development
, including performance tuning - Hands‑on experience with Azure
, Snowflake
, and Databricks
, including system integrations
- Design, build, and optimize large‑scale data pipelines on the Databricks Lakehouse platform
- Modernize and enhance cloud‑based data ecosystems on Azure
, contributing to architecture, modeling, security, and CI/CD - Use Apache Airflow and similar tools for workflow automation and orchestration
- Work with financial or regulated datasets while ensuring strong compliance and governance
- Drive best practices in data quality, lineage, cataloging, and metadata management
- Develop and optimize ETL/ELT pipelines using Python, PySpark, Spark SQL
, and Databricks Notebooks - Design efficient Delta Lake models for reliability and performance
- Implement and manage Unity Catalog for governance, RBAC, lineage, and secure data sharing
- Build reusable frameworks using Databricks Workflows, Repos, and Delta Live Tables
- Create scalable ingestion pipelines for APIs, databases, files, streaming sources
, and MDM systems - Automate ingestion and workflows using Python and REST APIs
- Support downstream analytics for BI, data science, and application workloads
- Write optimized SQL/T‑SQL queries, stored procedures, and curated datasets
- Automate Dev Ops workflows, testing pipelines, and workspace configurations
- Orchestration: Apache Airflow (plus)
- MDM: Profisee (nice‑to‑have)
- Strong analytical and problem‑solving mindset
- Excellent communication and cross‑team collaboration
- Detail‑oriented with a high sense of ownership and accountability
- Medical insurance
- Vision insurance
- 401(k)
- Paid maternity leave
- Paid paternity leave
Mid‑Senior level
Employment typeFull‑time
Job functionInformation Technology
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