Masterapp Labs
Masterapp Labs

Sr. Databricks Data Engineer

Hybrid in Austin, TX, US • Posted 4 hours ago • Updated 4 hours ago
Contract W2
Contract Corp To Corp
Contract Independent
1 Year
50% Travel Required
Hybrid
$75 - $80/hr
Fitment

Dice Job Match Score™

🛠️ Calibrating flux capacitors...

Job Details

Skills

  • Databricks
  • ETL
  • ELT
  • star
  • snowflake schemas
  • SQL
  • Python

Summary

Job Title: Sr. Databricks Data Engineer
Location: Austin, TX, (Hybrid)-3 days remote with 2 days (Mondays and Thursdays) required to be onsite
Position Type: Contract
Interview Mode: Both MS Teams & In-person

Key Responsibilities:

  • Design, develop, and optimize scalable data solutions on the Databricks platform.
  • Develop large-scale data processing solutions using PySpark or Scala.
  • Build and maintain data ingestion pipelines and Delta Live Tables (DLT).
  • Implement and support Medallion Architecture (Bronze, Silver, Gold).
  • Develop data models and implement data quality, validation, and governance processes.
  • Create dashboards, Databricks Apps, and analytical solutions to support business reporting.
  • Optimize workloads, monitoring, and operational processes for scalability, security, and cost efficiency.
  • Analyze business requirements and identify effective technical solutions.
  • Review existing system capabilities and recommend enhancements where appropriate.
  • Prepare functional and technical documentation to support application development and system modifications.
  • Collaborate with business users and technical teams to gather requirements and support solution delivery.
  • Independently perform complex tasks while leveraging strong analytical, problem-solving, and decision-making skills.
  • Utilize 8+ years of experience to plan, prioritize, and deliver data engineering solutions effectively.
II.  CANDIDATE SKILLS AND QUALIFICATIONS
Minimum Requirements:
Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity.
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).
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91091585
  • Position Id: 2102-37720-1785074728
  • Posted 4 hours ago
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