Microsoft Azure

Microsoft Azure Data Jobs

76 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

What we offer

Entarian provides a role focused on telemetry and analytics pipelines within mission‑critical engineering and technology solutions. This on‑site position in Denver, Colorado partners with cloud and on‑prem environments to support analytics, monitoring, and security decision making. The compensation range is USD 105,000 to 130,000 per year, with opportunities to contribute to Zero Trust architectures and resilience across national missions. You will collaborate across analytics, cloud, security, and platform engineering teams to turn telemetry into actionable insights.

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 a related technical discipline (Equivalent experience may be considered).
Minimum five 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 and travel

Location: Denver, CO (onsite). Travel approximately 25% to support customer locations, mission partner engagements, and operational activities.

Salary

USD 105,000 to 130,000 per year.

Apply

Apply directly through our Careers Portal. For referrals or inquiries, email the team at careers@entarian.com.

About Entarian

Entarian is a premier provider of mission‑critical engineering and technology solutions formed through the strategic union of Sev1Tech and ERT. With a legacy dating back to 1993, Entarian serves space, defense, and civilian missions by delivering secure, mission‑aligned digital solutions that drive national resilience and operational effectiveness.

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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

Glint Tech Solutions LLC is steering an enterprise modernization program for a major US retail eCommerce platform, where a robust data architecture underpins fast, reliable customer experiences. The Lead Data Engineer / Data Architect will shape the enterprise data strategy and design scalable platforms through re-architecture, database migrations, and cloud-native microservices migration. This onsite role is based in Charlotte, NC.

Responsibilities

Design and own enterprise data architecture supporting high-volume retail eCommerce operations
Build and maintain ETL/ELT pipelines using Azure Data Factory, Synapse Analytics, and Databricks/pySpark
Design conceptual, logical, and physical data models for efficient data storage and retrieval
Implement data warehousing solutions including dimensional modeling, star schemas, Data Mesh, Delta Lakehouse, and Data Vault
Lead database migrations and microservices migrations to unified cloud-native solutions
Integrate data from databases, APIs, and external providers via API integration and message queuing
Embed metadata and governance processes into cloud-based data platforms
Lead and mentor cross-functional engineering teams while driving 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

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.

Nice-to-have skills

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

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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

Responsibilities

Design, develop and deploy data engineering solutions using Azure Data Factory, Azure Synapse Analytics, and Azure DevOps to support regulatory reporting and the bank’s LFI strategy.
Craft data solution designs that can be handed off to engineering teams for execution, prioritizing component reuse to maximize efficiency.
Build ETL and data pipeline capabilities, considering data creation, transformation, storage, archiving, analysis, and sharing across the bank and partner systems.
Implement Azure DevOps CI/CD pipelines for all data solutions in alignment with the bank’s technical standards.
Apply Test Driven Development to all designed, built, and deployed data solutions.
Lead the implementation of outcomes from Data Governance and Enterprise Architecture.
Oversee the migration of multidimensional cubes to tabular models to enhance analytics and performance.
Utilize Power BI to design, deploy, and visualize tabular cubes, enabling effective business intelligence integration and insights.
Perform data exploration and profiling with tools such as Excel and Informatica.
Participate actively 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.
Incorporate built-in quality and compliance by design in all data solutions.
Review Azure Data Factory pipelines, Synapse artifacts, and other scripts produced by data engineers, delivering feedback to uphold quality standards.

Requirements

Bachelor’s degree in engineering or a related field; a Master’s or MBA is preferred.
7+ years of data engineering experience covering ETL concepts, enterprise data warehousing, database principles, and related tools; proficiency in Azure Data Factory, Azure Synapse Analytics, and/or Databricks is preferred.
2+ years designing, implementing, and supporting cloud data solutions; strong preference for Azure Data Lake, Azure Data Factory, Azure Data Services, Azure Synapse, Azure Logic Apps, and Azure DevOps.
Advanced experience with at least one RDBMS and query languages such as T-SQL, PL/SQL, or Spark SQL.
Advanced expertise in conceptual, logical, and physical data design.
Azure certifications such as Azure Fundamentals, Azure Data Engineer, Azure Data Scientist, and/or Azure DevOps Engineer are preferred.
Familiarity with data science and analytics tools such as SAS, Tableau, and Power BI.
Familiarity with multi-cloud data management and transformation platforms or tools such as Databricks and Snowflake.
Experience with Agile, SAFe, and/or Scrum methodologies is preferred.
Experience integrating with data quality, data catalog, and data lineage tools is preferred.
Previous leadership experience is preferred.
Intermediate to advanced knowledge of general financial services or banking is preferred.
Advanced knowledge of regulatory and legal compliance obligations, rules, and industry standards.
Proven ability to lead cross-functional teams and manage multiple projects concurrently, including pipeline development and Azure DevOps usage across multiple projects.
Strong strategic thinking with the ability to align projects with organizational goals, lead and motivate teams, resolve conflicts, and mitigate risks; governance patterns tied to intake, technical reviews, and architectural compliance are advantageous.
Excellent spoken and written communication skills.
May require up to 25% travel.

Technologies

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

Benefits

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

Location

Block 23, Phoenix, AZ (onsite)

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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

Data engineer role based onsite in McLean, VA focused on designing and deploying ETL pipelines and data platforms.

Responsibilities

Design and deploy ETL pipelines and data platforms.

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

Technologies

SQL
Oracle
ETL tools
AWS
Azure

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

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 Statement

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 our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model

Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
Onsite: If this position is listed as 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, the individual’s particular combination of 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). 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

SN Cloud Solutions is seeking a Data Engineer to join its Chicago team in a hybrid arrangement. The role focuses on designing, building, and maintaining scalable data pipelines and data platforms that underpin enterprise analytics and BI, leveraging Python, PySpark, SQL, and cloud ETL/ELT tools. You will partner with data scientists, analysts, and business stakeholders to turn raw data into reliable insights.

Responsibilities

Architect and implement ETL/ELT pipelines for large-scale data processing.
Create scalable data solutions using Python, PySpark, and Apache Spark.
Build and sustain data ingestion frameworks for both structured and unstructured data.
Develop and tune SQL queries, stored procedures, and database objects.
Ingest and consolidate data from diverse sources, including APIs, databases, and cloud storage.
Establish data quality, validation, and monitoring mechanisms.
Deploy and operate on cloud platforms such as AWS, Azure, or GCP.
Create and manage data lakes and data warehouses.
Partner with data scientists, analysts, and business stakeholders.
Orchestrate workflows with tools such as Apache Airflow.
Diagnose production issues and optimize pipeline performance.
Follow Agile/Scrum practices and CI/CD processes.

Requirements

Experience as a Data Engineer.
Strong experience with Python and PySpark.
Hands-on experience with Apache Spark.
Strong SQL programming skills.
Experience with ETL/ELT development.
Experience with cloud platforms (AWS, Azure, or GCP).
Knowledge of data warehousing concepts.
Experience with Apache Airflow or similar orchestration tools.
Experience with Git, Jenkins, or Azure DevOps.
Strong understanding of data modeling and database design.
Experience with relational and NoSQL databases.
Excellent problem-solving and communication skills.

Experience

Azure Data Factory: 7 years (Required)
SQL: 3 years (Required)
Data warehouse: 4 years (Required)

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 Type

Full-time

Pay

From USD 50.00 per year

Work Location

Hybrid remote in Chicago, IL 60618

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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

Senior Associate Data Engineer at PwC responsible for 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.

Responsibilities

Design and implement data infrastructure and systems to facilitate efficient data processing and analysis
Develop and maintain data pipelines, integration, and transformation solutions to support client needs
Utilize Amazon Web Services (AWS) and Azure Data Factory to enhance data engineering capabilities
Apply data architecture development and database management skills to optimize data solutions
Leverage Apache Airflow and Apache Hadoop for scalable data processing and workflow management
Build and manage data lakes and data warehouses to support large-scale data storage and retrieval
Confirm data quality and validation through rigorous testing and performance tuning
Collaborate with clients to understand their data requirements and deliver actionable insights
Utilize Databricks Unified Data Analytics Platform for advanced data analytics and visualization
Implement data security best practices to protect sensitive information and maintain compliance
Apply dimensional modeling and directed acyclic graphs (DAGs) for efficient data organization and processing
Support the development of data strategies to drive business growth and informed decision-making

Requirements

Bachelor's degree
Minimum 2 years of experience

Technologies

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

Benefits

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

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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

This onsite role in Cincinnati, OH offers a salary range of USD 133,000 – 158,000 per year and a discretionary annual incentive program. As a Senior Data Engineer at Deloitte, you will build applications and data pipelines for enterprise retail data processing within Deloitte's Project Delivery Model, delivering development and ongoing client support services.

Responsibilities

Work on applications and data pipelines related to supplier, store, item, buyer workflow, quote/request/approval tracking, and enterprise retail data processing.
Provide development expertise with the following: 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.
Provide development and support services to the client.

Requirements

Minimum 2 years of relevant experience
Bachelor's degree
Ability to work independently and collaborate as part of a team
Effective written and verbal communication skills
Meticulous attention to detail and quality of work product
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