Datavail

Data Engineer

Datavail • $110K — $130K *
US-AnywhereRemote in United States
Information Technology
5 - 7 years of experience
Today
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Job Overview by Ladders

Qualifications

  • 6+ years of experience with Azure and Snowflake data platforms
  • Proficient in Azure Data Factory, Databricks, Synapse Analytics, Python, SQL, and Spark
  • Experienced in data modeling and ETL/ELT development
  • Knowledge of cloud migration, performance tuning, and data governance
  • Familiarity with CI/CD practices in Azure DevOps and Git

Responsibilities

  • Design and maintain data engineering solutions on Azure and Snowflake
  • Build and optimize ETL/ELT pipelines for diverse data sources
  • Develop enterprise data warehouses and support BI initiatives
  • Manage and design cloud-based data lakes with Azure Data Lake Storage
  • Collaborate with stakeholders to translate requirements into data solutions
  • Monitor data pipeline performance for reliability and efficiency
  • Implement data quality frameworks to ensure accurate data

Benefits

  • Flexible work environment
  • Opportunities for professional development
  • Access to the latest technologies
  • Health and wellness programs
  • Collaborative team-focused culture
Full Job Description
Job Description

  • Azure Data Engineer with 6+ years of experience designing, developing, and optimizing enterprise-scale data platforms using Microsoft Azure and Snowflake
  • Proven expertise in building scalable data pipelines, data warehouses, and analytics solutions leveraging Azure Data Factory (ADF), Azure Databricks, Azure Synapse Analytics, Snowflake, Python, SQL, and Spark
  • Experienced in data modeling, ETL/ELT development, cloud migration, performance tuning, data governance, and implementing CI/CD practices
  • Strong background in integrating data from multiple sources and enabling business intelligence and advanced analytics solutions
    Key Skills:
  • Azure Data Factory (ADF)
  • Azure Databricks
  • Azure Synapse Analytics
  • Snowflake Data Cloud
  • Python, PySpark, SQL
  • Azure Data Lake Storage (ADLS Gen2)
  • Azure Functions
  • Delta Lake
  • Data Warehousing & Data Modeling
  • ETL / ELT Development
  • CI/CD (Azure DevOps, Git)
  • Performance Tuning & Optimization
  • Data Governance & Security
  • Power BI Integration
  • Agile & Scrum Methodologies

What you will do:
  • Design, develop, and maintain scalable data engineering solutions on Azure and Snowflake platforms
  • Build and optimize ETL/ELT pipelines using Azure Data Factory, Databricks, and Snowflake to ingest, transform, and load data from various structured and unstructured sources
  • Develop and maintain enterprise data warehouses, data marts, and analytical datasets supporting reporting, BI, and advanced analytics initiatives
    Implement data transformation and orchestration processes using PySpark, SQL, Python, and Snowflake stored procedures
  • Design and manage cloud-based data lakes using Azure Data Lake Storage (ADLS Gen2) and Delta Lake architecture
  • Collaborate with business stakeholders, data analysts, and architects to gather requirements and translate them into scalable data solutions
  • Monitor and optimize data pipeline performance, ensuring reliability, scalability, and cost efficiency
  • Implement data quality frameworks, validation rules, and monitoring processes to ensure accurate and trusted data
  • Manage Snowflake objects including databases, schemas, warehouses, tasks, streams, and data-sharing capabilities
  • Develop and maintain dimensional and normalized data models following industry best practices
  • Implement security controls, access management, encryption, and governance policies across Azure and Snowflake environments
  • Support cloud migration and modernization initiatives from on-premises or legacy platforms to Azure and Snowflake
  • Automate deployment processes using Azure DevOps, Git repositories, and CI/CD pipelines
  • Troubleshoot production issues, perform root cause analysis, and provide timely resolution for data-related challenges
  • Participate in Agile ceremonies, code reviews, and technical design discussions to ensure high-quality solution delivery
  • Create technical documentation, architecture diagrams, operational runbooks, and knowledge-transfer materials
    Preferred Certifications:
  • Microsoft Certified: Azure Data Engineer Associate (DP-203)
  • SnowPro Core Certification


About Datavail

Datavail is a leading provider of data integration and database administration services in North America, offering 24×7 managed database services, database design, architecture, and staffing. The company specializes in Oracle, Oracle E-Business Suite, Microsoft SQL Server, MySQL, MongoDB, DB2 and SharePoint, and provides flexible onsite/offsite, onshore/offshore service delivery options to meet each customer’s unique business needs. Founded in 2008, Datavail is based in Broomfield, Colorado and supports enterprise clients located worldwide. In 2019, Datavail acquired Art of BI, an Oracle analytics consulting firm, to expand its business intelligence and analytics capabilities.
Learn more about Datavail
Size
1,000 employees
Industry
Information Technology
Founded
2007
* Ladders Estimates

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