Designs and maintains scalable cloud data architectures, pipelines, ETL processes, data warehouses, databases, and data models. Ensures data quality, accuracy, security, availability, and consistency across sources. Develops SQL queries for analytics and reporting, and documents pipelines, schemas, architectures, and models. The role requires expertise with Python, Java, Scala, R, SQL, relational and NoSQL databases, cloud platforms, and Snowflake.
Design, develop, and maintain scalable, secure, and highly available data architectures on cloud platforms such as AWS, Azure, or Google Cloud. Build and maintain data pipelines, ETL (Extract, Transform, Load) processes, and data warehouses to ensure smooth data flows and availability. Ensure data quality, accuracy, and consistency across multiple data sources. Utilize programming languages like Python, Java, Scala, and RDBMS, NoSQL databases, and Cloud-based data warehousing services such as Snowflake. Create and maintain documentation for data pipelines, data models, database schema, and data architecture. Write SQL queries to extract data for analytics and reporting purposes. Bachelor’s degree in Science, Technology, or Engineering (any) along with five (05) years of experience in the job offered or related occupation is required. Work location: Alpharetta, GA and various unanticipated locations throughout the U.S.
Email Resume to HR Dept., Opus Technologies, Inc., at [email protected]
Similar Jobs
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Lead the architecture, design, and implementation of scalable data pipelines and enterprise data assets supporting healthcare rebate and Medicaid systems. Ensure data quality, governance, security, and CMS compliance while troubleshooting complex integration and performance issues. Collaborate with engineering, analytics, business, and leadership teams to translate requirements into technical solutions. Use cloud, big data, and approved AI technologies to improve productivity, mentor teams, and support evolving healthcare and financial applications.
Top Skills:
Apache KafkaSparkAWSAzureDatabricksDelta LakeFhirHl7Ibm I Db2JavaPythonScalaSnowflakeSQL
Fintech • Machine Learning • Payments • Software • Financial Services
Design, build, and operate scalable cloud data pipelines, platforms, and applications using distributed data technologies. Lead architectural decisions, evaluate platforms such as Snowflake and Databricks, establish engineering patterns, and deliver resilient data solutions. Collaborate with product managers, software engineers, analysts, and data scientists while mentoring engineers and communicating technical outcomes to stakeholders. Drive large-scale data initiatives independently in an Agile environment.
Top Skills:
AgileAirflowAWSCassandraDagsterDatabricksDynamoDBEmrGlueGCPJavaAzureMongoDBMonte CarloNoSQLPythonRedshiftScalaSnowflakeSparkSplunkSQL
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Data Engineering Interns will define metrics, instrument logging, ingest and model data, transform datasets, ensure data quality and governance, and support visualization, reporting, alerting, and scalable systems. They will partner with product, analytics, and data consumers to improve product engagement, efficiency, costs, and strategic decision-making. The 12-week, full-time internship includes technical training, mentorship, and hands-on project experience.
Top Skills:
PythonRelational DatabasesSQL
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
%20(1).png)


