The Data Engineer will develop and architect data solutions in Azure, manage data migrations, and consult on database administration while collaborating with various teams.
- Work in an Azure data warehouse environment, which includes developing database designs and architecture, data modeling and metadata repository creation
- Work with Architects, Technical Leads and Business Teams and contributes to the development of technical designs
- Secure data migrations & transformations to/from clients, customers, and vendors
- Provides technical database consultation on application development, global infrastructure, and other database administration efforts related to specific DBMS
- Conduct data profiling, cataloging, and mapping for technical design and construction of technical data flows
- Migrate current ETL and SSIS packages to Synapse
- 2-3+ Years of proven experience performing large data migration and transformation efforts
- Strong hands-on experience with Microsoft Azure Data & Analytics including Azure Synapse, Azure Data Factory, & Azure Data Lake Storage
- Experience in writing complex SQL queries and creating data models
- Experience or exposure to TSQL, SQL server, PL/SQL
- Experience or exposure to Informatica PowerCenter, Star Schema, Snowflake Schema
- Database performance tuning
- Data warehouse and data mart experience
- Strong knowledge of various data structures and the ability to extract data from various data sources (such as Cognos, Informatica, Hyperion, etc.)
- Education Assistance/Student Loan Repayment - up to $2400 annually
- Remote work allowance
- Internet reimbursement
- Bench pay
- Profit share
- Healthcare reimbursement
- 401k - 4% match
- Short-Term disability
- Long-Term disability
- Life Insurance
Top Skills
Azure Data Factory
Azure Data Lake Storage
Azure Synapse
Informatica Powercenter
Pl/Sql
SQL
Tsql
Similar Jobs
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Manage data engineering projects focusing on AI and automation, develop AI models, optimize data pipelines, and lead data architecture efforts.
Top Skills:
Amazon NeptuneAmazon RedshiftApache AirflowApache NifiApache SolrAWSAzureDockerElasticsearchGoogle BigqueryGoogle Cloud PlatformHadoopInformaticaJavaKafkaKubernetesNeo4JPrefectPythonScalaSnowflakeSparkSQLTalend
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Responsible for data modeling, AI development, and optimizing data processes. Collaborate on digital outcomes and enhance data quality in healthcare solutions.
Top Skills:
Amazon NeptuneAmazon RedshiftApache AirflowApache NifiApache SolrAWSAzureDockerElasticsearchGoogle BigqueryGoogle Cloud PlatformHadoopInformaticaJavaKafkaKubernetesNeo4JPrefectPythonScalaSnowflakeSparkSQLTalend
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Lead data engineering efforts at Atlassian, architect scalable data solutions, mentor engineers, and drive high-performing teams for analytics.
Top Skills:
AirflowAWSDatabricksFlinkHiveKafkaRedshiftSparkSQL
What you need to know about the Chicago Tech Scene
With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.
Key Facts About Chicago Tech
- Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
- Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
- Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
- Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory