Remote Senior Data Engineer - Azure & ML Pipelines

Taleo

Eden Prairie (MN)

Remote

USD 92,000 - 164,000

Full time

10 hours ago

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Benefits offered by this job

Comprehensive benefits package

Incentive and recognition programs

Equity stock purchase

401k contribution

Job summary

UnitedHealth Group seeks a Senior Software Engineer to design and implement scalable data solutions in the Azure cloud, focusing on data pipelines and analytics. You will collaborate with stakeholders to deliver secure, compliant data platforms that enable ML and BI capabilities.

The role emphasizes mentorship, architectural evolution, and building robust ETL/ELT processes with modern cloud services. Strong SQL and Spark expertise are essential, along with a track record of delivering enterprise

Qualifications

7+ years of experience in data engineering, data integration, data modeling, data architecture, and ETL/ELT processes.
7+ years of experience in Python, Scala.
5+ years of experience in Apache Spark (PySpark/Spark SQL).
5+ years of experience in SQL with designing complex data schemas and query performance optimization.
3+ years of experience with DevOps automation with Terraform.
3+ years of experience with API design and lifecycle management (GraphQL, REST, etc.).
3+ years of experience building and deploying cloud-based solutions using Azure Databricks, Snowflake, Functions, Service Bus.
3+ years of experience building LLM integrations for workflow automation/business needs.

Responsibilities

Develops services, controls, and reusable patterns that enable the team to deliver value safely, quickly, and sustainably in the public cloud.
Develop highly scalable applications for the Azure cloud by building microservices, Azure functions, and patterns for public cloud enabling security and privacy at scale.
Foster high-performance, collaborative technical work resulting in high-quality output.
Understand new product capabilities and decompose the implementation into specific functional changes for verification.
Gather and analyze data to aid in informed decision-making while providing detailed, realistic estimates.
Interact skillfully with business stakeholders and third-party technical organizations.
Design and develop ETL/ELT solutions on Azure Databricks, LakeBase and Spark.
Develop, implement, and deploy large scale data pipelines empowering machine learning algorithms, insights generation, business intelligence dashboards, reporting and new data products.
Design, build, optimize, and manage modern large-scale data pipelines ETL/ELT processing to support data integration for analytics, machine learning features and predictive modelling.
Write advanced / complex SQL with performance tuning and optimization.
Build AI based solutions for solving business needs, process automations and improving operational efficiency.
Identify ways to improve data reliability, data integrity, system efficiency and quality.
Participate in architectural evolution of data engineering patterns, frameworks, systems, and platforms including defining best practices and standards for managing data collections and integration.
Mentor other data engineers and provide technical direction by teaching other data engineers how to leverage cloud data platforms.