Azure Blob Storage

Azure Blob Storage Engineer Jobs

3 jobs found

22d ago

Principal Data Engineer

New Balance Brighton, MA

Brighton, MA

22d ago

$139k - $208k/yr Full time Artificial Intelligence Azure Blob Storage Azure Data Factory

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Job Description

New Balance is hiring a Principal Data Engineer II to lead enterprise data infrastructure for the Global Data & Analytics team with deep Snowflake expertise and AI-assisted engineering workflows.

Responsibilities

Lead architecture, design, and development of reliable data pipelines for acquiring, ingesting, transforming, and delivering data across on-premises, cloud, batch, streaming, and event-driven sources
Define reusable architecture patterns and engineering standards for the platform
Unify batch, streaming, and event-driven processing within a cohesive cloud data architecture with monitoring, alerting, recovery, and operational controls
Partner with business and IT stakeholders and data consumers to define requirements, identify source systems and integration approaches, and model business and system processes using use case scenarios, workflow diagrams, and data models aligned to enterprise data architecture
Design and deliver reusable, well-governed data products across business domains with data owners and consumers, covering requirements, quality standards, documentation, ownership, and operational expectations
Lead technical design reviews and guide decisions across scalability, reliability, security, maintainability, performance, and cost optimization
Apply practical AI capabilities to improve pipeline development, testing, and operations, including AI coding agents (e.g., Snowflake CoCo) and LLM-powered techniques (e.g., Snowflake Cortex AI Functions)
Automate data-quality validation and source-to-target reconciliation using AI with appropriate security, governance, human review, and production controls
Debug, profile, and optimize integrations and ETL/ELT processes to improve performance, reliability, and efficient resource consumption
Drive process improvements by automating manual work, optimizing data delivery, and strengthening CI/CD and testing practices to improve scalability and supportability
Document application and data architecture, engineering standards, operating procedures, technology decisions, and maintain operational runbooks; recommend practical improvements and alternatives
Provide prompt production issue response and on-call support as needed, keep stakeholders informed, and surface delivery risks or obstacles with lead time
Foster collaboration through open communication, technical mentorship, knowledge sharing, and succession planning; stay current with emerging data engineering and platform capabilities

Requirements

Bachelor’s degree in Computer Science, Management Information Systems, or related field (or equivalent professional experience)
11-13 years of experience in data warehouse and data engineering development, including building, managing, and optimizing enterprise data pipelines in cloud computing environments
Proven ability to lead architecture and development of complex data pipelines and integrations across multiple source systems, with strong knowledge of the software development life cycle
Strong understanding of data architecture, data modeling, data quality, observability, and secure engineering practices
Expert proficiency in SQL and Python, with strong analytical, troubleshooting, and problem-solving skills
Deep experience with Snowflake data warehousing and data engineering capabilities, including performance optimization, cost-conscious design, and development using SQL, Python, and Snowpark
Ability to translate business requirements into technical specifications, including data sources, integration methods, transformations, data models, validation controls, and operational requirements
Experience designing and delivering reusable data products across multiple business domains, including modeling, pipeline development, quality controls, documentation, and operational support
Experience with Azure data integration services, including Azure Data Factory and Azure Data Lake Storage or Azure Blob Storage
Experience with data transformation and software delivery practices using tools such as dbt, GitHub, GitHub Actions, automated testing, and CI/CD
Experience using AI coding agents to accelerate pipeline development and testing and applying LLM-powered techniques to automate data-quality validation or reconciliation in ELT pipelines
Demonstrated technical ability, thoroughness, and accuracy; ability to analyze issues using technical databases and business application understanding to reach results-oriented conclusions
Excellent written and verbal communication skills to explain technical concepts to technical and non-technical audiences, influence cross-functional decisions, and proactively raise risks and issues
Demonstrated sense of urgency, initiative, and adaptability; sound judgment, attention to detail, required confidentiality, influencing and negotiation skills, and ability to mentor engineers

Technologies

Snowflake
SQL
Python
Snowpark
Snowflake CoCo
Snowflake Cortex AI Functions
LLM
ETL
ELT
Azure Data Factory
Azure Data Lake Storage
Azure Blob Storage
dbt
GitHub
GitHub Actions
CI/CD
automated testing
streaming
event-driven

Benefits

Comprehensive traditional benefits package including three options for medical insurance, plus dental, vision, life insurance, and 401K
Online learning and development courses
Tuition reimbursement
$100 monthly student loan support
Mentorship programs
Yearly $1,000 lifestyle reimbursement
4 weeks of vacations
12 holidays
Generous parental leave
Flexible work schedule with North American hybrid model (in office three days per week: Tuesday, Wednesday, Thursday)
Work from Anywhere (WFA) for four weeks per calendar year

Location and Pay Range

Brighton, MA (hybrid)
Annual base pay range: USD 138,500 - 207,500 (with intermediate range shown as $138,500.00 - $173,000.00 - $207,500.00)

Work Schedule Details

In-office three days per week: Tuesday, Wednesday, and Thursday
Work from Anywhere (WFA) for four weeks per calendar year

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1mo ago

Data Engineer

ABACUS Dallas, TX

Dallas, TX

1mo ago Closed

Full time Backend Developer Python Azure

This position is no longer accepting applications (closed Oct 29, 2026).

Job Description

ABACUS is building a modern Azure-based data platform to support regulated industries. In this onsite role in Dallas, TX, you will develop and operate reliable data pipelines that move and transform information from internal and external systems, with attention to data quality, security, and compliance.

What you’ll do

Develop and maintain ETL pipelines using Python and SQL Server (T-SQL) for ingestion, transformation, and integration across structured files and RESTful APIs.
Write, test, and debug Python for data processing, automation, and basic integrations, following established standards and best practices.
Create and maintain T-SQL assets including queries, views, and stored procedures to support business logic and reporting needs.
Support data workflows using Azure Data Factory, Azure SQL, and Azure Blob Storage.
Monitor pipelines and assist with troubleshooting for data quality issues, pipeline failures, and performance problems.
Follow defined data quality, security, and compliance procedures in regulated environments such as healthcare and financial services.
Collaborate with data analysts, software engineers, and DevOps to understand data requirements and upstream systems.
Participate in code reviews, implement feedback, and continuously improve engineering practices.
Create and maintain clear documentation for pipeline logic and operational processes.

What you bring

1–4 years of professional experience in Data Engineering, Software Engineering, or a related technical role (required).
Strong hands-on proficiency in Python, including writing functions, handling errors, and debugging (required).
Experience working with relational databases, preferably SQL Server (required).
Strong working knowledge of SQL, including joins, aggregations, subqueries, and basic performance considerations (required).
Exposure to integrating or consuming data from RESTful APIs or external data sources (required).
Familiarity with Git or similar version control systems (required).
Strong analytical and problem-solving skills with the ability to learn quickly (required).
Bachelor’s Degree (preferred).

Helpful experience and exposure

Additional Azure services such as Azure Synapse, Azure DevOps, and Azure Functions.
Understanding of data modeling and warehousing concepts.
Exposure to cybersecurity data, SIEM tools, or SOC operations.
Knowledge of .NET Framework and C#-based APIs, particularly in data consumption contexts.
Background in MSP/MSSP environments or consulting.
Familiarity with Power BI or other data visualization tools.

Technology areas you’ll work with

Python, SQL Server, T-SQL
Azure: Azure Data Factory, Azure SQL, Azure Blob Storage, Azure Synapse, Azure DevOps, Azure Functions
APIs: RESTful APIs, plus exposure to .NET Framework and C#
Security and compliance context: HIPAA, SOC2, and SIEM tools
Related tooling: Power BI (listed), Azure workflows and integrations

Success in the role

Ability to work effectively in a collaborative, fast-paced environment.
Good written and verbal communication skills.

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4mo ago

Senior Software Engineer - Platform Integrations

Insight Software Remote 🌍 Remote

Remote

4mo ago Closed

Full time Backend Developer Senior Ai Code Assist

This position is no longer accepting applications (closed Jul 16, 2026).

Job Description

Senior Software Engineer on the Platform Integrations team responsible for building and maintaining the integration backbone of the Certent Equity Management platform, including file-based transfers, REST APIs, broker interfaces, and partner integrations, with AI-first engineering and modernization of legacy systems.

Responsibilities

Own the end-to-end delivery of features, enhancements, and bug fixes across the integration platform from design through production under the guidance of the Principal Engineer.
Write clean, maintainable production-grade code across the integration stack using C#/.NET, Oracle SQL/PL SQL, REST API services, file processing pipelines, and background job logic.
Build and maintain file-based integration logic, including CSV and fixed-width parsing, PGP encryption/decryption, SFTP transfers, archive management, and broker-specific file formats.
Implement and maintain REST API endpoints and associated background processing pipelines under architectural direction.
Make database changes to support integration tasks, including schema updates, stored procedures, and SQL query development and optimization.
Participate actively in agile ceremonies such as sprint planning, refinement, standups, demos, and retrospectives.
Leverage AI tooling throughout feature development to accelerate implementation, debugging, testing, and documentation.
Adhere to a 95 percent AI-assisted code review standard as an organizational minimum.
Integrate agentic development tooling such as GitHub Copilot, Claude Code, Devin.AI, or similar into daily workflows as a force multiplier.
Use AI to accelerate delivery, improve code quality, expand test coverage, and push your capabilities as an individual contributor.
Stay current on emerging agentic tooling and share practical insights with the team.
Build quality into all tasks by writing thorough unit and integration tests, leveraging AI to widen test coverage, and supporting QA engineers in validation.
Participate in code reviews, delivering thorough, actionable feedback aligned with architectural and quality standards set by the Principal Engineer and using AI-assisted review practices where applicable.
Follow and contribute to the integration platform engineering standards including connector patterns, API layering, data access practices, CI/CD, and the definition of done.
Implement observability through structured logging, health checks, and alerting support for data pipeline failures.
Ensure production stability by understanding the implications of shared codebases across multiple deployment environments and client configurations.
Collaborate closely with the Principal Engineer, peers, QA, and product management to clarify requirements and align on integration design and execution.
Surface technical blockers, delivery risks, and scope concerns early to the Principal Engineer or Engineering Manager.
Mentor junior engineers on integration patterns, Oracle and C#/.NET best practices, AI-first development workflows, and professional growth.
Interface with client stakeholders as needed under the direction of the Principal Engineer to clarify requirements and resolve integration issues.

Requirements

6+ years of hands-on software engineering experience in enterprise SaaS environments.
Strong proficiency in C# and .NET, with the ability to build and maintain production-grade backend services and APIs.
Experience with Oracle databases including SQL and PL/SQL, writing and optimizing queries, and creating stored procedures.
Experience with file-based integration patterns such as CSV and fixed-width parsing, SFTP transfers, PGP encryption, and broker-specific file formats.
Experience designing and consuming RESTful APIs with a clean layered architecture.
Demonstrated AI-first engineering mindset with hands-on experience with agentic tooling like GitHub Copilot, Claude Code, Devin.AI, or similar.
Experience with background job processing and queue-based patterns, including retry logic, failure handling, and concurrency.
Experience working in agile/scrum teams, participating in ceremonies and contributing to sprint delivery.
Experience with Git-based version control and PR based development workflows.
Strong written and verbal communication skills.
Bachelor's degree in Computer Science, Engineering, or equivalent work experience.

Technologies

C#
.NET
Oracle SQL
PL/SQL
REST
SFTP
PGP
GitHub Copilot
Claude Code
Devin.AI
Boomi
Azure Blob Storage
Azure Service Bus
WCF
SOAP
Hangfire
Docker
GitHub Actions
Git

Benefits

Bonus eligibility

About Us

insightsoftware is a global provider of reporting, analytics, and performance management solutions that unlock the potential of business data and transform the way finance and data teams operate. We empower leaders from over 32,000 organizations to make timely and intelligent decisions. Our comprehensive solutions span Financial Planning and Analysis (FP&A), Controllership, and Data and Analytics.

Additional Information

All your information will be kept confidential according to EEO guidelines.

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Azure Blob Storage Engineer Jobs

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