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Systems Analyst 3

InfostrideAustin, TX🇺🇸United StatesPosted 27 Jul 2026

Quick Overview

Work Type
On Site
Level
Mid Senior

Job Description

Job Title: Senior Databricks Engineer

Location: 4601 W Gudalupe St Austin, TX 78751

Work Arrangements: Hybrid (2 Days per week Onsite)

Interview: Both Webcam Interview or In Person

 

Complete job Description:

 

The Databricks Engineer should design, develop, and optimize scalable data solutions on Databricks, leveraging PySpark or Scala for large-scale data processing. Build and maintain ingestion pipelines, Declarative Pipelines (DLT), and Medallion Architecture (Bronze, Silver, Gold) to support enterprise analytics and reporting. Develop robust data models and implement data quality, validation, and governance frameworks. Create dynamic dashboards, Databricks Apps, and analytical solutions to deliver actionable business insights. Optimize workloads, monitoring, and operational processes to ensure scalability, security, and cost efficiency.

 

Skill Matrix:

Candidate’s

Experience

Years

Required/Preferred

Experience

 

8

Required

Experience in IT, supporting the design, development, deployment, or delivery of technology solutions.

 

8

Required

Experience with Databricks, including building and optimizing ETL/ELT data pipelines using Apache Spark.

 

8

Required

Experience in data warehousing and dimensional data modeling (star/snowflake schemas).

 

8

Required

Proficiency in SQL and Python (or Scala) for large-scale data processing.

 

8

Required

Experience designing and developing dashboards and applications natively within Databricks (e.g., Databricks SQL dashboards, Databricks Apps).

 

8

Required

Experience implementing data governance, data quality, and data security practices.

 

8

Required

Experience implementing Lakeflow Declarative Pipelines (formerly Delta Live Tables/DLT) for building and managing production data pipelines.

 

8

Required

Experience with Delta Lake, medallion architecture (bronze/silver/gold layers), data lakehouse design, and creating and scheduling offline jobs using Lakeflow Jobs (formerly Databricks Workflows) or similar orchestration tools (e.g., Airflow).

 

8

Required

Excellent communication skills, both verbal and written, including presenting insights to technical and business stakeholders.

 

1

Preferred

Experience working in public sector or state government environments.

 

1

Preferred

Databricks certification (e.g., Databricks Certified Data Engineer Associate/Professional).

 

1

Preferred

Experience with CI/CD practices for data pipelines (DevOps, Git-based workflows).
 
 

Sandeep Singh

Talent Acquisition/Delivery Manager | InfoStride Inc.

 

 Email: 

 

Skills

SQL
Scala
ETL
Snowflake
Airflow
Apache
Apache Spark
Databricks
Git
Python
Scheduling
Talent Acquisition

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