Data Engineer

TechniPros, LLC
Hartford, CT, United States
2 months ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source

Tech stack

Software as a Service Data Governance Extract Transform Load (ETL) Data Systems Data Warehousing Python (Programming Language) Standard Sql Systems Integration Data Processing Snowflake Pyspark Data Management
+2 more
Data Pipelines Databricks

Job description

  • We are looking for an experienced Data Engineer with expertise in Databricks, DBT, Snowflake, ETL development, and enterprise SaaS integrations.
  • The ideal candidate will have strong Python and SQL skills with experience building enterprise-grade data platforms., * Develop and maintain ETL/ELT pipelines.
  • Build scalable data processing solutions using Databricks.
  • Develop DBT models, documentation, and testing.
  • Optimize Snowflake data warehouse performance.
  • Integrate enterprise SaaS applications.
  • Implement data quality frameworks.
  • Collaborate with business stakeholders to deliver data solutions.

Requirements

  • Databricks
  • PySpark
  • SQL
  • Unity Catalog
  • DBT
  • Models
  • Tests
  • Documentation
  • Snowflake
  • SQL
  • Python
  • ETL/ELT Pipeline Development
  • Data Quality Frameworks

Mandatory Skills:

  • Databricks
  • PySpark
  • DBT
  • Snowflake
  • SQL
  • Python
  • ETL
  • Enterprise SaaS Integrations

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

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Core technical practices for robust data engineering

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Executing Databricks jobs with built-in Airflow operators

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Integrating internal APIs and maintaining data sovereignty

Mahran Meißner Mahran Meißner · World Congress 2026 Europe

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Harnessing Spark with Python using PySpark and Py4J

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Overview of Databricks and interactive data processing

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Building generic custom operators for Databricks APIs

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