18 Data Engineer Jobs in Indianapolis, IN
Biospace is Hiring a Data Engineer Near Indianapolis, IN
Note: Lilly does not anticipate providing sponsorship for employment visa status (e.g., H-1B or TN status) for this employment position now or in the future.
Do you enjoy learning new knowledge domains and answering engaging questions? The Global Services Tech at Lilly team is actively seeking a data engineer in Indianapolis, IN to partner with internal business and Tech at Lilly partners to accelerate the delivery of data solutions for analytics and business purposes.
What You’ll Be DoingA data engineer onsite in Indianapolis, IN is responsible for designing, developing, and maintaining the data solutions that ensure the availability and quality of data for analysis and/or business transactions. They design and implement efficient data storage, processing and retrieval solutions for datasets and build data pipelines, optimize database designs, and work closely with data scientists, architects, and analysts to ensure data quality and accessibility. Data engineers require strong skillsets in data integration, acquisition, cleansing, harmonization, and transforming data. They play a crucial role in transforming raw data into datasets designed for analysis which enable organizations to unlock valuable insights for decision making.
How You’ll Succeed
- Engage and partner with cross-functional tech teams across Global Services (finance), third party solution delivery providers, and Data architects to understand the business problem and enhance/develop the appropriate data solution leveraging the modern tech stack
- Design and implement highly performant data ingestion/processing pipelines from multiple sources
- Develop technical solutions which combine disparate information to create meaningful insights for business partners
- Operate with a quality mindset always considering the impact of design decisions on the long-term support and maintenance of data pipelines/jobs
- Ensure data integrity, security, and privacy requirements are met
- Stay abreast of tools and technologies to influence our strategy so that it provides best usage opportunities for business
- A foundational set of knowledge in: communication, leadership, teamwork, problem solving skills, solution / blueprint definition, business acumen, architectural processes (e.g. blueprinting, reference architecture, governance, etc.), technical standards, project delivery, and industry knowledge.
- Strong skillsets in data integration, acquisition, cleansing, harmonization, and transforming data
- Experience designing large scale data models for functional, operational, and analytical environments (Conceptual, Logical, Physical & Dimensional)
- Experience in several of the following disciplines: statistical methods, data modeling, ontology development, semantic graph construction and linked data, relational schema design.
- Demonstrated SQL/PLSQL and data modeling proficiency.
- Experience with data modeling tools such as, ER*Studio and Erwin or TOAD
- Experience in AWS or Azure techstack
- Experience in building/integrating APIs
- Experience in creating data products using APIs
- Experience with security models and development on large data sets
- Experience with multiple database technologies
- Experience with multiple database solutions (e.g. Postgres, Redshift, Aurora, Athena) and formal database designs (3NF, Dimensional Models)
- Experience with Agile Development, CI/CD, Jenkins, Github, Automation platforms
- Experience in implementing effective data loading strategy (CDC, incremental loads)
- Demonstrated ability to analyze large, complex data domains and craft practical solutions for subsequent data exploitation via analytics.
- Demonstrated ability to communicate with a geographically dispersed group of business and technical colleagues
- Ability to review and provide practical recommendations on design patterns, performance considerations & optimization, database versions, and database deployment strategies
- Knowledgeable in data functions such as Data Governance, Master Data Management, Business Intelligence
- Bachelors Degree in computer science, information technology, or management information systems.
- Or High School Diploma with at least four years of Data Engineer experience
- Experience in data integration, acquisition, cleansing, harmonization, and transforming data
- Demonstrated ability to analyze large, complex data domains and craft practical solutions for subsequent data exploitation via analytics.
- Qualified candidates must be legally authorized to be employed in the United States. Lilly does not anticipate providing sponsorship for employment visa status (e.g., H-1B or TN status) for this employment position
- Lilly does not anticipate providing sponsorship for employment visa status (e.g., H-1B or TN status) for this employment position.
- Must be willing to relocate to the Indianapolis area
- Hybrid work schedule
- 0-10% travel
- CDMP Certification
- AWS Solution Architect
- Understanding of a highly regulated environment that involves data privacy and confidential information requirements
The Global Services IT team leads digitalization across organizations spanning the enterprise with Finance, Legal, Ethics & Compliance, Corporate Affairs and Human Resources as well delivers best-in-class ERP Solutions. This team leverages technology and analytics to enable transformations across the enterprise.
Eli Lilly and Company, Lilly USA, LLC and our wholly owned subsidiaries (collectively “Lilly”) are committed to help individuals with disabilities to participate in the workforce and ensure equal opportunity to compete for jobs. If you require an accommodation to submit a resume for positions at Lilly, please email Lilly Human Resources ( Lilly_Recruiting_Compliance@lists.lilly.com ) for further assistance. Please note This email address is intended for use only to request an accommodation as part of the application process. Any other correspondence will not receive a response.
Lilly is an EEO/Affirmative Action Employer and does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status.
Our employee resource groups (ERGs) offer strong support networks for their members and help our company develop talented individuals for future leadership roles. Our current groups include: Africa, Middle East, Central Asia Network, African American Network, Chinese Culture Network, Early Career Professionals, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinos at Lilly, PRIDE (LGBTQ Allies), Veterans Leadership Network, Women’s Network, Working and Living with Disabilities. Learn more about all of our groups.
#WeAreLilly
Job Summary
Full Time
Scientific Services
$111k-137k (estimate)
06/24/2024
07/21/2024
biospace.com
CERRITOS, CA
50 - 100
1985
KI CHUL CHA
$10M - $50M
Scientific Services
Related Companies
About Biospace
BioSpace serves as the leading online source for biotechnology jobs, breaking industry news and expert analysis. BioSpace has accelerated recruitment, communication and discovery among business and scientific leaders within the life sciences for more than 30 years.
The job skills required for Data Engineer include SQL, AWS, Computer Science, Analysis, Insight, Azure, etc. Having related job skills and expertise will give you an advantage when applying to be a Data Engineer. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Data Engineer. Select any job title you are interested in and start to search job requirements.
The following is the career advancement route for Data Engineer positions, which can be used as a reference in future career path planning. As a Data Engineer, it can be promoted into senior positions as a Database Engineer IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Engineer. You can explore the career advancement for a Data Engineer below and select your interested title to get hiring information.
If you are interested in becoming a Data Engineer, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Engineer for your reference.
Step 1: Understand the job description and responsibilities of an Accountant.
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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.
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