Dev/Ops Data Pipeline Developer Rochester, NY
Listed on 2025-12-31
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IT/Tech
Data Engineer
Location: City of Rochester
Dev/Ops Data Pipeline Developer Job in Rochester, NY
This range is provided by Akkodis. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
$40.00/hr - $60.00/hr
Direct message the job poster from Akkodis
Contract to Hire
Please no 3rd party or c2c candidates
Pay rate range: $40-$60.00 per hour based on experience, education, geographic location and other factors.
This individual will lead the build and maintenance of a centralized database taking data from multiple 3rd party systems. The goal is to centralize this data so our client can better utilize it across the organization.
This Dev/Ops Data Pipeline Developer will be responsible for the design, implementation, and maintenance of analytical and data science–based software and data pipelines to support workflows. They will leverage the Hyperion Data warehouse and pipelines.
Responsibilities of the Dev/Ops Data Pipeline Developer Job in Rochester, NY
- Leads the effort to build and maintain a centralized database to enhance research and discovery and improve data quality and reporting
- Builds, maintains, and evolves general Extract, Transform and Load (ETL) data pipelines and overall data architecture to accommodate a growing amount of data from a variety of large data sources
- Writes and optimizes SQL queries to extract and analyze data from databases
- Troubleshoots and resolves issues related to API integrations and data flow
Desired Qualifications of the Dev/Ops Data Pipeline Developer Job in Rochester, NY
- Bachelor's degree in data science, Biomedical Science, Computer Science, Mathematics, Statistics, or similar discipline required
- Programming experience in SQL and one other applicable language (Java, Python, and/or R) required
- Experience with Version Control solutions (e.g. Git) required
- Experience with Linux, container, and cloud technologies (e.g. HPC, IaaS and PaaS) preferred
- Familiarity with file formats, metadata, and data exchange and storage standards
- Understanding of data analytics and statistical methods required
- Software engineering best practices such as version control and software release management required
- Strong analytical and problem-solving skills required
- Strong organizational skills required
- Ability to work with others in a matrix management environment required
- Excellent communication skills for describing progress and challenges to stakeholders required
- Attention to detail, patience, and a positive, customer-centric attitude required
- Strong technical presentation skills required
- Demonstrated ability to develop proficiency with unfamiliar toolsets required
For more information to be considered for the Dev/Ops Data Pipeline Developer Job in Rochester, NY please contact Thomas McCarthy at
Equal Opportunity Employer/Veterans/Disabled
Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, an EAP program, commuter benefits, and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable.
Disclaimer:
These benefit offerings do not apply to client-recruited jobs and jobs that are direct hires to a client.
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The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:
The California Fair Chance Act, Los Angeles City Fair Chance Ordinance, Los Angeles County Fair Chance Ordinance for Employers, San Francisco Fair Chance Ordinance
Seniority level:
Associate
Employment type:
Full-time
Job function:
Information Technology
Industries: IT Services and IT Consulting
Referral programs may increase interviewing chances
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