Data Engineer – Azure, Snowflake

Mindex

Data Engineer at Mindex creating scalable data pipelines and integrating data solutions. Collaborating with stakeholders to support analytics, reporting, and AI initiatives.

Posted 7/26/2026full-timeRemote • Missouri, New York, Ohio, Pennsylvania • 🇺🇸 United StatesMid-LevelSenior💰 $90,000 - $140,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and maintaining scalable data pipelines using Azure Data Factory, Snowflake, and SQL, while ensuring data quality and performance optimization. Proficient in developing ETL and ELT processes, collaborating with stakeholders, and integrating data from various sources to support business intelligence and automation initiatives.

Highest-signal resume keywords

Azure Data FactorySnowflakeSQLPythonETL Development

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringData IntegrationData ModelingPerformance OptimizationData ValidationData Warehousing ConceptsDimensional ModelingAPI IntegrationJSONXML

Soft Skills

CollaborationProblem-SolvingCommunication

Tools & Technologies

Azure Data Lake StorageCloud Data WarehouseBusiness Intelligence Tools

Industry Keywords

ETL ProcessesELT ProcessesEnterprise ApplicationsSaaS ApplicationsData Quality

Tech Stack

Tools & technologies

AzureCloudETLPythonSQL

About the role

Key responsibilities & impact

Design, develop, and maintain scalable data pipelines using Azure Data Factory, Snowflake, SQL, and Python.
Build ETL and ELT processes that integrate data from enterprise applications, APIs, and third-party systems.
Develop reliable datasets and data models that support reporting, business intelligence, automation, and AI initiatives.
Partner with business stakeholders to gather requirements and translate business needs into technical solutions.
Monitor, troubleshoot, and optimize data pipelines to ensure performance, reliability, and data quality.
Perform data validation, testing, and reconciliation to ensure accurate and trusted data.
Document data flows, source-to-target mappings, and technical processes to support ongoing maintenance and knowledge sharing.
Collaborate with cross-functional teams to continuously improve the organization's cloud data platform and engineering practices.

Requirements

What you’ll need

3 - 5+ years of experience in data engineering, ETL development, or data integration.
Experience working with Snowflake or another modern cloud data warehouse, including data modeling, transformations, and performance optimization.
Hands-on experience with Azure Data Factory or a similar cloud-based orchestration tool, including pipeline orchestration and workflow management.
Experience working with Azure Data Lake Storage or similar cloud storage platforms.
Strong SQL skills, including writing complex queries, optimizing performance, and working with large datasets.
Experience developing data solutions using Python.
Understanding of data warehousing concepts, ETL/ELT processes, and dimensional modeling.
Experience integrating data through APIs and working with JSON, XML, or similar data formats.
Experience integrating enterprise SaaS applications such as Salesforce, Workday, GA4, Marketo, or similar business systems.

Benefits

Comp & perks

Fully Remote Work Environment
Flexible Time Off
Medical, Dental, and Vision Insurance
401(k) with Company Match
Company-Paid Life and Disability Insurance
Professional Development Opportunities