Onebridge is a Consulting firm with an HQ in Indianapolis, and clients dispersed throughout the United States and beyond. We have an exciting opportunity for a highly skilled Data Engineer to join an innovative and dynamic group of professionals at a company rated among the top "Best Places to Work" in Indianapolis since 2015.
Employment Type: Direct Hire or Contract - W2 Only
Location: Indianapolis, IN - REQUIRED
Industry: Healthcare
CANDIDATES MUST BE LOCAL OR REGIONAL TO INDIANAPOLIS, IN.
Data Engineer | About You
As a Data Engineer, you are responsible for designing, developing, and maintaining a robust data infrastructure for clients across various industries. You will work closely with key IT stakeholders to ensure that data is accessible, reliable, and available for critical decision-making processes. Your role includes building data pipelines, optimizing data flow, and managing data storage solutions. You will also ensure data quality and compliance with data governance standards. Strong team and project lead experience will be valuable for this role.
Data Engineer | Day-to-Day
Create scalable data pipelines and ETL processes to perform data conversions, imports, and exports of data within and between internal and external software systems.
Continuously optimize and fine-tune data pipelines for performance and scalability, implementing best practices to ensure optimal data integration and transformation processes.
Work closely with stakeholders across the organization to gather and analyze data requirements, translating them into technical solutions that meet business needs.
Conduct the hands-on development of data preparation and entity modeling, and perform match/merge, survivorship, data quality, and data standardization configuration.
Design, develop, and test databases, data warehouses, data lakes, queries and views, reports, and dashboards.
Implement and enforce data governance policies and procedures to ensure data quality, integrity, and security across the organization.
Data Engineer | Skills & Experience
7+ years of experience in Data Engineering, Data Management, Data Integration, Data Transformation, or related fields, with strong proficiency in SQL, Python, or other relevant programming languages.
Expertise in data warehousing solutions and big data technologies (e.g., Hadoop, Spark), with a strong understanding of data modeling, ETL processes, stored procedures, and data integration techniques.
Extensive experience with cloud platforms such as AWS, GCP, or Azure, including proficiency with Snowflake or Azure data services.
Excellent problem-solving skills, attention to detail, and effective communication and collaboration abilities, essential for resolving technical challenges, ensuring data accuracy, and fostering teamwork across departments.
Basic knowledge of Master Data Management (MDM) solutions with an interest and willingness to learn and achieve certification in Profisee MDM.
Expertise in API integrations for data exchange between systems is a bonus, and experience with .NET, Python, or C# would be a significant advantage but is not required.