Microsoft Azure

Microsoft Azure Engineer Jobs

74 jobs found

Today

Data Engineer - Telemetry & Analytics Pipeline

Entarian Denver, CO

Denver, CO

Today

$105k - $130k/yr Full time Amazon Web Services Analytics Arm/bicep

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Job Description

Entarian is seeking a Data Engineer to design, build, and sustain telemetry and analytics pipelines that capture data from cloud, endpoint, network, and application sources. The role supports real-time processing and decision making for analytics, monitoring, and security, aligning with Zero Trust architectures and secure data practices. This on-site position in Denver collaborates across analytics, cloud, security, and platform engineering teams to ensure high-quality data flows that empower operational insights.

Note: Position is contingent upon contract award and funding.

Responsibilities

Design and implement scalable telemetry ingestion pipelines across cloud, endpoint, network, and application sources.
Build real-time and batch processing workflows using modern data engineering tools and technologies.
Develop data models, schemas, and metadata structures to support analytics, dashboards, and machine learning.
Optimize pipeline performance, reliability, observability, and data quality.
Integrate telemetry from identity systems, logging platforms, monitoring tools, and security technologies.
Create automation for ETL/ELT processes, data normalization, and event enrichment.
Collaborate with analytics, cloud, security, and platform engineering teams to define data requirements.
Ensure pipeline governance, compliance, retention, and secure data handling.
Troubleshoot ingestion issues, latency problems, schema drift, and data integrity concerns.
Document pipeline architecture, data flow diagrams, and operational procedures.

Requirements

Active Secret security clearance
Bachelor’s degree in information technology, computer science, engineering, or related technical discipline. (Equivalent experience may be considered.)
Minimum five (5) years of experience with a combination of modern data engineering platforms (Azure Data Factory, AWS Glue, Databricks, Kafka, Spark, Flink, etc.).
Strong skills in building data ingestion and streaming pipelines.
Proficiency in Python, SQL, or similar languages.
Knowledge of data modeling, ETL/ELT patterns, and distributed systems.
Familiarity with telemetry sources (logs, metrics, events) and common security/monitoring tools.
Experience with cloud storage systems (S3, ADLS, GCS) and data warehouses/lakehouses.
Understanding of data governance, lineage, and quality frameworks.
Good technical communication skills.
Proficiency with Microsoft Office Suite, including Word, PowerPoint, Excel, Project, and Outlook.
Ability to travel approximately 25% to support customer locations, mission partner engagements, and operational activities.

Technologies

Azure Data Factory, AWS Glue, Databricks, Kafka, Spark, Flink, Python, SQL, S3, ADLS, GCS, Elastic, Splunk, Azure Monitor, Grafana, OpenTelemetry, Terraform, ARM/Bicep

Location

Denver, CO (onsite)

Salary

USD 105,000 - 130,000 per year

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Today

Lead Data Engineer / Data Architect

Glint Tech Solutions LLC Charlotte, NC

Charlotte, NC

Today

Full time Azure Data Factory Azure Data Lake Storage Azure Synapse Analytics

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Job Description

This on-site opportunity in Charlotte, NC focuses on shaping enterprise data strategy and modernizing platforms across architecture modernization, migrations, and cloud-native microservices.

Responsibilities

Design and own enterprise data architecture to support high-volume retail eCommerce operations.
Develop and maintain ETL and ELT pipelines using Azure Data Factory, Synapse Analytics, and Databricks with PySpark.
Model conceptual, logical, and physical data structures for efficient storage and retrieval.
Implement data warehousing approaches such as dimensional modeling, star schemas, Data Mesh, Delta Lakehouse, and Data Vault.
Lead database migrations and microservices migrations toward unified, cloud-native solutions.
Integrate data from databases, APIs, and external providers via API integrations and message queues.
Embed metadata management and governance within cloud-based data platforms.
Guide and mentor cross-functional engineering teams, shaping technical strategy and stakeholder communications.

Requirements

8+ years of overall experience with at least 1 year in an Architect-level role.
3+ years of hands-on Azure Data Factory and Azure Synapse Analytics experience.
Deep Microsoft Azure expertise including Data Lake Storage, Databricks, PySpark, Cosmos DB, and PostgreSQL.
Strong SQL proficiency for complex queries, transformations, and cloud performance tuning.
Experience with Azure MI, Cosmos DB, Analysis Services, and Informix.
Proficiency in Python and Python-based ETL tools.
Shell scripting experience — Bash, Unix, or Windows.
Proven ability to lead teams, define technical strategy, and communicate across organizational levels.

Technologies

Azure Data Factory
Azure Synapse Analytics
Databricks
PySpark
Data Lake Storage
Cosmos DB
PostgreSQL
SQL
Python
Bash
Unix
Windows
Azure MI
Analysis Services
Informix
Elasticsearch
Docker
Kubernetes
Delta Lake
Delta Lakehouse
Data Mesh
Data Vault

Nice-to-have skills

Elasticsearch experience
Docker and Kubernetes familiarity
Performance tuning and pipeline optimization expertise
Azure, Databricks, or relevant cloud certifications

Company overview

Glint Tech Solutions is a women-owned global staffing and IT recruiting firm connecting top technical talent with leading enterprise clients across the United States and Canada.

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1d ago

Staff Engineer II - Senior Data Engineer

Western Alliance Bank Phoenix, AZ

Phoenix, AZ

1d ago

Full time Senior Analytics Azure Data Factory

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Job Description

Western Alliance Bank invites a Staff Engineer II - Senior Data Engineer to shape the enterprise data platform with emphasis on safety, security, compliance, and reliability. You will lead a centralized data engineering team and partner with data stewards, analysts, engineers, enterprise architects, and business stakeholders to deliver scalable data capabilities.

What you gain in this role includes:

Competitive salaries
Ownership stake in the company
Medical and dental insurance
Time off
Great 401k matching program
Tuition assistance program
Employee volunteer program
Wellness program

Location: Phoenix, AZ on-site (Block 23)

Responsibilities

Design, develop and deploy data engineering solutions using Azure Data Factory, Azure Synapse Analytics, and Azure DevOps to support regulatory reporting and the LFI strategy.
Create reusable data engineering solution designs ready for hand‑off to execution teams, maximizing efficiency by component reuse.
Build ETL and data pipeline capabilities that account for data creation, transformation, storage, archiving, analysis, and sharing across Western Alliance Bank and partner systems.
Implement Azure DevOps CI/CD pipelines for all data solutions in alignment with technical standards.
Apply Test Driven Development to all designed, built, and implemented data solutions.
Lead the implementation of outcomes and designs from Data Governance and Enterprise Architecture.
Oversee migration of multidimensional cubes to tabular models to optimize analytics and performance.
Use Power BI to design, deploy, and visualize tabular cubes for seamless business intelligence.
Conduct data exploration and profiling with tools such as Excel and Informatica.
Actively participate in data architecture decision making.
Provide technical mentorship to team members and other data professionals.
Collaborate with product owners and business stakeholders to understand requirements and operational processes.
Embed built-in quality and compliance-by-design in all data solutions.
Review Azure Data Factory pipelines, Synapse artifacts, and other scripts to ensure deliverables meet quality standards.

Requirements

Bachelor’s degree in engineering or a related field; Master’s or MBA preferred.
7+ years of data engineering experience covering ETL concepts, enterprise data warehouses, database principles, and related tools; strong preference for Azure Data Factory, Azure Synapse Analytics, and/or Databricks.
2+ years designing, implementing, and supporting cloud data solutions with Azure Data Lake, Azure Data Factory, Azure Data Services, Azure Synapse, Azure Logic Apps, and Azure DevOps experience preferred.
Advanced experience with at least one RDBMS and query language (T-SQL, PL/SQL, Spark SQL).
Advanced data modeling skills across conceptual, logical, and physical layers.
Azure certifications such as Fundamentals, Data Engineer, Data Scientist, and/or DevOps Engineer preferred.
Familiarity with data science and analytics tools (SAS, Tableau, Power BI).
Experience with multi-cloud data management and transformation platforms or tools (e.g., Databricks, Snowflake).
Experience in Agile, SAFe, and/or Scrum frameworks preferred.
Experience integrating with data quality, data catalog, and data lineage tools preferred.
Previous leadership experience preferred.
Knowledge of financial services or banking environments preferred.
Strong understanding of regulatory and legal compliance obligations, industry standards, and practices.
Proven ability to lead cross-functional teams and manage multiple projects concurrently, including pipeline development with Azure DevOps.
Strategic thinker with the ability to align projects with organizational goals, motivate teams, and manage risks.
Excellent written and verbal communication skills.
Up to 25% travel may be required.

Technologies we work with

Azure Data Factory
Azure Synapse Analytics
Azure DevOps
Azure Data Lake
Azure Logic Apps
Power BI
Excel
Informatica
Databricks
Snowflake
SAS
Tableau
Azure Data Services
T-SQL
PL/SQL
Spark SQL

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3d ago

ETL Data Engineer

Booz Allen Hamilton McLean, VA

McLean, VA

3d ago

$62k - $141k/yr Full time Data Engineer Data Integration Data Pipeline

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Job Description

Based in McLean, VA on site, Booz Allen Hamilton is seeking an ETL Data Engineer who will design and deploy ETL pipelines and data platforms. This role offers a salary range of $62,000 to $141,000 per year and a benefits package that supports health, retirement, education, and work-life balance.

Benefits

Health benefits
Life insurance
Disability insurance
Financial benefits
Retirement benefits
Paid leave
Professional development
Tuition assistance
Work-life programs
Dependent care
Recognition awards program

Responsibilities

Design and deploy ETL pipelines and data platforms
Build efficient, scalable ETL pipelines and interfaces
Operate with limited supervision to deliver data solutions

Requirements

5+ years of experience with relational databases and SQL
Experience with scripting languages to automate tasks, including writing custom transformations and interfaces
Experience building efficient and scalable ETL pipelines
Experience with data modeling principles and data quality concepts
Ability to work with little or no supervision
TS/SCI clearance with a polygraph
HS diploma or GED

Clearance

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance with polygraph is required.

Identity verification

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of Booz Allen's daily work, and we are committed to the responsible and ethical use of AI tools. However, the use of artificial intelligence (AI) or other tools to assist with responses during interviews is prohibited unless permission is explicitly provided.

Work model

Onsite: Work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to non-discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

Compensation

Salary at Booz Allen is determined by various factors, including location, education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $62,000.00 to $141,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.

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3d ago

Data Engineer

SN Cloud Solutions Chicago, IL

Chicago, IL

3d ago

$0k+/yr Full time Python Apache Airflow Azure Data Factory

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Job Description

Data Engineer position in Chicago, IL (hybrid) focused on designing, building, and maintaining scalable data pipelines and analytics platforms.

Responsibilities

Design, develop, and optimize ETL and ELT pipelines for large-scale data processing.
Build scalable data solutions using Python, PySpark, and Apache Spark.
Develop and maintain data ingestion frameworks for structured and unstructured data.
Craft and optimize SQL queries, stored procedures, and related database objects.
Consolidate data from multiple sources, including APIs, databases, and cloud storage.
Establish data quality checks, validation, and monitoring mechanisms.
Collaborate with cloud platforms such as AWS, Azure, or GCP.
Construct and maintain data lakes and data warehouses.
Work with data scientists, analysts, and business stakeholders to inform analytics needs.
Automate workflows with orchestration tools such as Apache Airflow.
Troubleshoot production issues and optimize pipeline performance.
Follow Agile/Scrum practices and CI/CD workflows.

Requirements

Azure Data Factory experience with 7+ years (Required).
SQL proficiency with 3+ years (Required).
Data warehousing concepts with 4+ years (Required).
Strong Python and PySpark expertise, with hands-on Apache Spark experience.
Experience developing ETL/ELT processes.
Cloud platform experience across AWS, Azure, or GCP.
Solid knowledge of data modeling and database design.
Experience with Apache Airflow or similar orchestration tools.
Experience with Git, Jenkins, or Azure DevOps.
Experience with both relational and NoSQL databases.
Excellent problem-solving abilities and clear communication skills.

Technologies

Python
PySpark
Apache Spark
SQL
AWS
Azure
GCP
Apache Airflow
Databricks
Kafka
Delta Lake
Snowflake
Redshift
BigQuery
Synapse
Azure Data Factory
Git
Jenkins
Azure DevOps

Benefits

Flexible schedule

Job Details

Job Type: Full-time
Pay: From $50.00 per year
Location: Hybrid remote in Chicago, IL 60618
Experience requirements: Azure Data Factory 7+ years; SQL 3+ years; Data warehouse 4+ years

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5d ago

Data Engineer - Senior Associate

PRICE WATERHOUSE COOPERS Detroit, MI

Detroit, MI

5d ago

$77k - $202k/yr Full time Senior Apache Airflow Azure Data Factory

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Job Description

PRICE WATERHOUSE COOPERS offers a hybrid, Detroit, MI based Senior Associate Data Engineer role with a salary range of USD 77,000 to 202,000 per year. This position centers on designing and building data infrastructure, pipelines, integration, and transformation solutions to enable efficient data processing and actionable insights for clients, leveraging AWS, Azure, and Databricks.

Benefits

Annual discretionary bonus
Medical, dental, and vision benefits
401k
Holiday pay
Vacation
Personal and family sick leave

Responsibilities

Design and implement data infrastructure and systems to support efficient data processing and analysis
Develop and maintain data pipelines, integrations, and transformations to meet client needs
Use AWS and Azure Data Factory to strengthen data engineering capabilities
Apply data architecture development and database management to optimize data solutions
Leverage Apache Airflow and Apache Hadoop for scalable processing and workflow management
Build and manage data lakes and data warehouses for large-scale storage and retrieval
Validate data quality through testing and performance tuning
Collaborate with clients to understand data requirements and deliver actionable insights
Use Databricks Unified Data Analytics Platform for advanced analytics and visualization
Implement data security best practices to protect sensitive information and maintain compliance
Apply dimensional modeling and DAGs for efficient data organization and processing
Support the development of data strategies to drive business growth and informed decision-making

Requirements

At least a Bachelor's degree
At least 2 years of experience

Technologies

Amazon Web Services (AWS)
Azure Data Factory
Microsoft Azure
Apache Airflow
Apache Hadoop
Databricks Unified Data Analytics Platform

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6d ago

Senior Data Engineer

Deloitte Cincinnati, OH

Cincinnati, OH

6d ago

$133k - $158k/yr Full time Senior Azure Data Factory Azure Synapse Analytics

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Job Description

Based onsite in Cincinnati, OH, this Senior Data Engineer role at Deloitte offers a salary range of $133,000 to $158,000 per year, plus a discretionary annual incentive program. You will focus on building applications and data pipelines for enterprise retail data processing within Deloitte's Project Delivery Model, delivering development and support services to clients. A bachelor's degree and at least 2 years of experience are required.

Benefits

Discretionary annual incentive program

Responsibilities

Develop and maintain applications and data pipelines covering supplier, store, item, and buyer workflows, as well as quote and approval tracking and enterprise retail data processing.
Provide development expertise across a broad set of technologies including Azure Data Factory, Azure Databricks, PySpark, SparkSQL, Azure Data Lake, SQL Azure, Synapse Analytics, Event Hub, AKS, Oracle RPAS, RMS, and Harness CI/CD pipelines.
Deliver development work and ongoing client support services.

Requirements

Ability to work independently and as part of a team
Effective written and verbal communication skills
Meticulous attention to detail and quality of work
Ability to build and sustain professional relationships
Ability to lead projects or workstreams
Ability to manage and prioritize multiple tasks in a fast paced and dynamic environment
Strong interpersonal skills and professional demeanor
Ability to meet deadlines
Ability to provide clear guidance to others