Design and manage data infrastructure projects for clients, develop large-scale pipelines, collaborate in Agile/DevOps environments, and utilize cloud platforms.
Object Computing, Inc. (OCI)
OCI is seeking experienced Data Engineers to design, develop, and manage data infrastructure for internal and client projects within our AI/ML & Data Insights team.
About OCI
We provide a collaborative environment focused on innovation, leveraging open-source software and strategic partnerships with Amazon and Google to build transformative technology solutions.
Job Responsibilities
- Design, build, and optimize large-scale data pipelines (Azure, AWS, GCP)
- Develop data ingestion and storage solutions.
- Implement scalable APIs and ensure system performance.
- Manage big data infrastructure and cloud deployments.
- Collaborate with developers, designers, and data scientists.
- Work in an Agile/DevOps environment.
Core Competencies
- ETL data engineering (Databricks, SQL Server, Snowflake, BigQuery, Apache Spark).
- Proficiency in Go, Java, Python, or Scala.
- Proficiency in CI/CD pipelines and Infrastructure as Code (IaC) (Terraform, CDK, Ansible).
- Hands-on experience with event-driven architectures (Kafka, Pulsar).
- Strong knowledge of data warehousing, SQL/NoSQL databases, and cloud platforms.
- Experience with distributed computing, DevOps tools, and data governance.
- Familiarity with Delta Lake, Unity Catalog, Delta Sharing, and DLT.
Preferred Qualifications
- Degree in Computer Science, Data Engineering, or a related field, or equivalent experience.
- Experience with AI/ML-driven data solutions and real-time data processing.
- Expertise in building scalable APIs and integrating with modern analytics tools (Power BI, Tableau, QuickSight).
- Cloud certifications (Databricks, AWS, Azure, GCP).
Top Skills
Ansible
Spark
AWS
Azure
BigQuery
Cdk
Databricks
Delta Lake
Delta Sharing
GCP
Go
Java
Kafka
Power BI
Pulsar
Python
Quicksight
Scala
Snowflake
SQL Server
Tableau
Terraform
Unity Catalog
Similar Jobs
Big Data • Fitness • Healthtech • Software • Analytics • Energy
As a Data Engineer at Arcadia, you will design and develop data pipelines, support data integrations, and contribute to team processes while working within a Scrum setup.
Top Skills:
Cloud ArchitectureNoSQLSparkSQL
Big Data • Fitness • Healthtech • Software • Analytics • Energy
The Data Engineer role focuses on integrating client data systems, developing data pipelines, and leveraging new technologies to enhance healthcare analytics.
Top Skills:
Cloud ArchitectureNoSQLSpark ScalaSQL
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
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
