Data Engineer Job at Indiana University, Indianapolis, IN

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  • Indiana University
  • Indianapolis, IN

Job Description

The Division of Computational Pathology is hiring for an entry-level Data Engineer position. Daily duties of the successful candidate will be focused on data management, using the current Bash/Python-based infrastructure for acquisition, de-identification, QC, organization, curation, and preprocessing pipelines for all data types. Additional contributions will target the optimization of this infrastructure that could result in relevant scientific publications. Department Specific Responsibilities Physically handle and scan glass tissue slides using a whole slide scanner, requiring attention to detail in a lab environment. Transfers high-throughput large files between servers, utilize GUI tools to identify and tag images, and manage large datasets with a focus on accuracy and organization. Demonstrates familiarity with healthcare data standards, ensuring compliance and care in handling sensitive information. Develops and maintains scripts using Bash/Linux and Python to process data in SQL, JSON, and CSV formats, ensuring data handling and transformation. Identifies and implements improvements in slow, repetitive tasks to enhance efficiency after gaining familiarity with processes. Applies strong knowledge of basic file commands (e.g., copy, move, delete) in Linux environments, prioritizing data-oriented solutions. Opportunity to join additional research projects upon task completion; desk-based role with occasional lab work. General Responsibilities Performs data management tasks, including data modeling, conversion, de-duplication, migration, and identification and repair of data quality issues. Designs, develops, and implements custom data systems and reconciliation tools, processes, rules, solutions etc. to validate data, match/merge, and upload batch lists. Creates and tunes stored procedures and queries for data management and extraction. Assists in designing and building out technical software mechanisms to accommodate multiple integrations accurately based on complex rules and custom solutions. Adheres to established documentation standards and maintains security by ensuring that security standards and protocols are recognized and followed. Troubleshoots, analyzes problems, and finds resolutions for data related issues; performs scripting and modifications of application and products for corrective action. Stays up-to-date with data engineering best practices and approaches; stays abreast of latest security threats and risks to proactively address potential exposures. Qualifications Combinations of related education and experience may be considered. Education beyond the minimum required may be substituted for work experience. Work experience beyond the minimum required may be substituted for education.

EDUCATION

Required Bachelor's degree (preferably in computer science, information science, or related field)

WORK EXPERIENCE

Preferred Some experience in data management, engineering, or related experience

SKILLS

Required Proficient communication skills Maintains a high degree of professionalism Demonstrates time management and priority setting skills Demonstrates a high commitment to quality Possesses flexibility to work in a fast paced, dynamic environment Seeks to acquire knowledge in area of specialty Working Conditions / Demands This role requires the ability to effectively communicate and to operate a computer and other standard office productivity equipment. The position involves sedentary work as well as periods of time moving around an office environment and the campus. The person in this role must be able to perform the essential functions with or without an accommodation. Additional Information This position is not eligible for visa sponsorship. Work Location Indianapolis, Indiana Advertised Salary $50,000.00 - $60,000.00 annually. Benefits Overview For full-time staff employees, Indiana University offers a wide array of benefits including: Comprehensive medical and dental insurance Health savings account with generous IU contributions Healthcare and dependent care flexible spending accounts Basic group life insurance paid by IU Voluntary supplemental life, long-term disability, critical illness, and supplemental accidental death & dismemberment insurance Base retirement plan with generous IU contributions, subject to vesting Voluntary supplemental retirement plan options Tuition subsidy for employees and family members taking IU courses 10 paid holidays plus a paid winter break each year Generous paid time off plans Paid leave for new parents and IU-sponsored volunteer events Employee assistance program (EAP) Learn more about our benefits by reviewing the IU Benefit Programs Brochure . Job Classification Career Level: Core FLSA: Exempt Job Function: Information Technology Job Family: Data Analysis & Engineering Click here to learn more about Indiana University's Job Framework. Posting Disclaimer This posting is scheduled to close at 11:59 pm EST on the advertised Close Date. This posting may be closed at any time at the discretion of the University, but will remain open for a minimum of 5 business days. To guarantee full consideration, please submit your application within 5 business days of the Posted Date. If you wish to include a cover letter, you may include it with your resume when uploading attachments. Equal Employment Opportunity Indiana University is an equal opportunity employer and provider of ADA services and prohibits discrimination in hiring. See Indiana University Notice of Non-Discrimination here which includes contact information . Campus Safety and Security The Annual Security and Fire Safety Report, containing policy statements, crime and fire statistics for all Indiana University campuses, is available online . You may also request a physical copy by emailing IU Public Safety at iups@iu.edu or by visiting IUPD. Contact Us Request Support Telephone: 812-856-1234 Apply for Job Staff Positions Sign In New User Enable Screen Reader Mode Indiana University

Job Tags

Holiday work, Full time, Temporary work, Work experience placement, Flexible hours,

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