Azure Synapse Analytics

Azure Synapse Analytics Engineer Jobs

34 jobs found

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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2d ago

Business Analytics Engineer

BD Summit, IN

Summit, IN

2d ago

Full time Analytics Azure Synapse Analytics Big Data

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Job Description

BD seeks a motivated Business Analytics Engineer to join the Waters Advanced Diagnostics analytics team in Summit, Indiana, onsite.

Responsibilities

Create, refine, and sustain advanced Power BI data models, dashboards, and reports that underpin integrated business analytics.
Develop semantic models with emphasis on performance tuning and efficient DAX implementations.
Create data collection tools with Power Apps and automate workflows using Power Automate and Python.
Design and deploy Python driven data automation pipelines.
Execute ETL processes from diverse sources, including SAP, SharePoint, and other enterprise systems or cloud storage services.
Deliver integrated analytics solutions by leveraging existing frameworks and reusable components.
Collaborate with cross-functional stakeholders to convert business needs into analytic solutions.
Monitor, support, troubleshoot, and optimize existing solutions to improve performance and usability; this accounts for about 30 percent of the role.
Lead or contribute to new development initiatives with short project cycles of 1 to 2 months; this accounts for about 70 percent of the role.
Ensure data quality, integrity, and governance across solutions.
Maintain clear documentation of datasets, models, and workflows.

Requirements

Bachelor’s degree in Computer Science, Information Systems, Data Analytics, or a related field.
4 to 5 years of hands-on experience in a data analytics or analytics engineering role within a business environment.
Advanced Power BI capabilities, including data modeling, DAX, and performance optimization.
Proven experience building Power Apps and Power Automate flows.
Expertise in Excel and Power Query.
Proficiency in Python for data automation and scripting.
Working knowledge of SQL and other data-centric scripting languages.
Strong understanding of data models, structures, and architecture principles.
Experience with ETL processes.
Familiarity with GitHub or similar version control tools.
Experience integrating with SharePoint for data storage and integration.
Strong business acumen and understanding of cross-functional business processes.

Technologies

Power BI
DAX
Power Apps
Power Automate
Python
SAP
SharePoint
SQL
Excel
Power Query
GitHub
SAP GUI
Azure
Databricks
Microsoft Fabric

Primary work location

IND Gurgaon - Aurbis Summit

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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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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

Technologies

Azure Data Factory
Azure Databricks
PySpark
SparkSQL
Azure Data Lake
SQL Azure
Synapse Analytics
Event Hub
AKS
Oracle RPAS
RMS
Harness CI/CD pipelines

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7d ago

BI & Analytics Analyst/Data Engineer

JSSA Rockville, MD

Rockville, MD

7d ago

Full time Analyst Analytics Azure Data Lake

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Job Description

JSSA in Rockville, MD is seeking a hybrid BI and Analytics Analyst/Data Engineer to lead the design, development, and management of data and analytics solutions. The role spans end-to-end analytics from SQL Server data warehouse design to self-service Power BI reporting, partnering with IT business teams and data engineers to convert raw data into trustworthy, actionable insights. This position emphasizes data quality, governance, and enabling stakeholders to make informed care decisions.

Responsibilities

Collaborate with IT business partners and operational leaders to design analyses that reveal opportunities to improve care, assess adherence to clinical best practices, and quantify outcomes.
Help ensure agency data repositories deliver consistent, reusable data by working with key staff to establish, implement, and guide standards and best practices.
Promote best-practice knowledge to business stakeholders to enable self-service analytics rather than IT-driven development.
Own self-service reporting datasets, including DAX measures, data models, and row-level security.
Translate business requirements into clear analytical deliverables, manage stakeholder expectations, and iterate based on feedback.
Monitor report usage and data quality, proactively identifying and resolving issues.
Document data definitions, metric logic, and report lineage to support a data-literate culture within the agency.
Leverage technical tools to query, manipulate, and summarize data from multiple sources.
Assist in designing, developing, maintaining, and updating databases to meet department and organizational needs.
Design and build star schema data warehouse objects in SQL Server, including fact tables, dimension tables, and aggregates.
Develop and maintain T-SQL stored procedures, ETL pipelines, and staging-to-DWH data loads.
Create and own source-to-target mapping documentation for new data domains.
Integrate data from source systems.
Contribute to data quality, pipeline reliability, and warehouse performance optimization.
Support the adoption of self-service analytics by building clean, well-documented datasets.
Document current data architecture, define logical and physical data structures, and establish the agency data blueprint.
Manage and support the data warehouse solution (Wherescape RED), SQL Server, and related components.
Define operational monitoring and alerting tools to ensure end-to-end delivery of trusted, quality data from sources to consumption.
Establish best-practice standards and processes for data automation, orchestration, and transformation.
Identify, design, implement, and manage a master data management solution for client and employee subjects, collaborating with stakeholders to define data quality standards and operational DQ processes.

Requirements

Bachelor’s degree is required; a Master’s degree is highly preferred.
5-7+ years of experience in a BI, analytics, or data engineering role.
Strong proficiency in SQL Server and T-SQL, including stored procedures, window functions, and query optimization.
Hands-on experience building and maintaining Power BI reports and semantic models (DAX, Power Query).
Hands-on experience with Wherescape OLAP solutions; familiarity with Azure Analysis Services, Azure Data Lake, and Azure Synapse Analytics is welcome.
Experience integrating or working with EHR data (reports, APIs, or data exports).
Familiarity with star schema and dimensional modeling concepts; Kimball methodology is a plus.
Python experience for data wrangling, automation, or pipeline scripting.
Experience with Microsoft Master Data Services (MDS), including defining entities and business rules.
Experience with Microsoft Data Quality Services (DQS) and SQL Server Integration Services (SSIS).
Comfortable working across the full analytics stack from raw data to end-user reports.
Strong communication skills, with the ability to explain data concepts clearly to non-technical stakeholders.
Advanced proficiency with Microsoft Office tools (Power BI), SQL, and experience with EMR systems (hospice, home care, and/or mental health) is desirable.

Technologies

SQL Server
T-SQL
Power BI
DAX
Power Query
Wherescape RED
Azure Analysis Service
Azure Data Lake
Azure Synapse Analytics
Microsoft Master Data Services (MDS)
Microsoft Data Quality Services (DQS)
SQL Server Integration Services (SSIS)

Benefits

Competitive salary
Benefits package
Healthy work-life balance
Collaborative team environment
Opportunities for personal growth and professional development

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7d ago

Data & Analytics Engineer

Electro-Mechanical Corporation Bristol, VA

Bristol, VA

7d ago

$85k - $110k/yr Full time Analytics Azure Data Factory Azure Platform

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Job Description

Electro-Mechanical Corporation offers an onsite Data & Analytics Engineer opportunity in Bristol, VA with a competitive salary range of $85,000–$110,000 per year. This role places you at the forefront of our data strategy, enabling you to design, build, and maintain a scalable enterprise data platform using Microsoft Fabric, Power Platform, and industry-leading visualization tools. Expect a collaborative environment that values mentorship, governance, and strategic impact as you partner with stakeholders to unlock data-driven decisions across the organization.

Responsibilities

Design, develop, and sustain a scalable enterprise data platform leveraging Microsoft Fabric capabilities including OneLake, Data Factory, Data Engineering, Data Warehouse, Real-Time Analytics, and Lakehouse architecture.
Establish and manage data ingestion, transformation, and orchestration pipelines from multiple internal and external sources.
Develop data models supporting enterprise reporting, analytics, AI, and operational decision making.
Build reusable data products and semantic models to promote consistency and scalability across the organization.
Design and implement ETL/ELT processes using Microsoft Fabric and related Azure technologies.
Integrate ERP, CRM, operational systems, cloud applications, APIs, and third party data sources.
Ensure data quality, reliability, and performance through monitoring, validation, and optimization.
Implement data governance, metadata management, lineage, and security controls.
Develop enterprise dashboards, scorecards, and analytical solutions with Power BI and Tableau.
Create scalable semantic models and datasets to support self-service analytics.
Optimize visualization performance and user experience.
Establish reporting standards, KPIs, and data definitions across business functions.
Collaborate with business stakeholders to translate requirements into actionable analytics solutions.
Establish best practices for data management, access controls, privacy, and compliance.
Define and maintain enterprise data standards and governance frameworks.
Implement role-based security and data access policies within Microsoft Fabric and reporting platforms.
Support audit, compliance, and regulatory requirements.
Evaluate emerging technologies and best practices in cloud analytics, data engineering, and AI.
Promote adoption of modern data architecture principles and analytics capabilities.
Mentor team members and advance data literacy across the organization.
Contribute to roadmap planning and strategic data initiatives.

Requirements

Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Engineering, Mathematics, Statistics, or a related field; equivalent combinations of education and experience considered.
3–5 years of experience in data engineering, analytics engineering, business intelligence, or related roles.
Proven track record designing, developing, and supporting data pipelines and analytical solutions in production.
Strong SQL skills with experience crafting complex queries, views, stored procedures, and data transformations.
Experience building and maintaining ETL/ELT pipelines.
Experience with modern cloud data platforms such as Fabric, Snowflake, Databricks, or Azure Synapse.
Knowledge of data warehousing concepts, dimensional modeling, and data architecture best practices.
Experience with enterprise integrations, middleware, APIs, and data migration methodologies.
Experience with Microsoft Azure, AWS, or Google Cloud Platform.
Understanding of data quality frameworks, monitoring, and validation processes.
Experience implementing data governance, metadata management, and master data practices.
Knowledge of security, privacy, and compliance considerations related to enterprise data.
Experience supporting Finance, Supply Chain, Manufacturing, or Commercial analytics.
Experience in manufacturing, distribution, industrial, or multi-site organizations.

Technologies

Microsoft Fabric, OneLake, Data Factory, Data Warehouse, Power BI, Tableau, Power Apps, Power Automate, Dataverse
Git, SQL, Snowflake, Databricks, Azure Synapse
Microsoft Azure, AWS, Google Cloud Platform
Python, Spark, PySpark
Azure DevOps, Power Platform, API development