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Join a nationwide healthcare technology management firm as a Data Platform Engineer. In this pivotal role, you'll enhance data availability and governance across multiple platforms, collaborating with IT teams to drive data-driven insights for business growth. Your expertise will directly influence the efficiency of healthcare technologies, and you'll have opportunities for considerable professional development in a supportive workplace.
Renovo Solutions is a nationwide healthcare technology management company. We offer a range of opportunities for technicians to grow within the company. With a presence in 40+ states, we provide comprehensive solutions for managing & maintaining healthcare technologies. We prioritize investing in our employees' development, offering various phases and advancement paths. Through ongoing training, mentorship programs, and a supportive work environment, we foster professional growth and promote from within. Join our team to make a difference in healthcare while advancing your career with Renovo.
Summary:
The ‘Data Platform Engineer’ will work cross-functionally with all IT teams to ensure data availability, reliability, and governance across a modern data architecture – including purpose-built databases and data services, data lakes, and data delivery pipelines. By building and maintaining these foundational systems, the role powers enterprise analytics and applications, enabling a broad spectrum of data-driven insights to drive the business forward. The Data Platform Engineer champions best practices and fosters a data-centric culture, ensuring that all users can seamlessly leverage trusted data to inform decisions and deliver data-powered innovations.
What you will do:
In this role, you will be tasked with spearheading the modernization and optimization of our database systems. This will involve staying abreast of the latest advancements in database technologies and tools, and proactively identifying opportunities where these innovations can be leveraged to enhance our existing infrastructure. You will be expected to not only recognize these potential projects but also take ownership of their implementation. This includes planning, coordinating, and executing the necessary steps to seamlessly integrate new solutions into our current environment, while minimizing disruptions and ensuring data integrity.
Day to Day activities:
●Participate in the architecture, build out, and modification of new and existing data pipelines and platforms used for serving enterprise data analytics
●Modify and maintain existing source databases including the databases for multiple in-house applications with direction or request from software development
●Maintain systems intended for change data capture such as Microsoft SQL Server CDC or similar
●Work with the cloud infrastructure team on delivering cloud native database and data platform technologies including setup, maintenance, access control and governance, disaster recovery, and more
●Participate in leading the implementation of data strategies and provide insights and suggestions on how to achieve business objectives using data
●Develop processes and procedures related to data development and delivery including diagrams and written documentation
●Implementation and maintenance of data change management to meet regulatory compliance requirements
●Resolve data related issues and tickets escalated from application support including report and dashboard modifications, backend report running, data corrections, and other support duties as assigned according to SLAs and business requirements
●Work alongside other data focused team members for the purpose of delivering data required to drive AI and machine learning workloads
Qualifications:
●Expert level understanding of modern data architectures and the benefits of different data storage, transformation, and delivery strategies
●Ability to work with Microsoft SQL Server databases with the purpose of optimizing performance, modifying stored procedures, and working with software development to analyze queries from ORMs for performance or other reasons
●Strong understanding of change data capture strategies and relation technologies, especially SQL Server CDC
●Proven ability to work with cloud native database, data warehouse, data lake, and data platform technologies like AWS RDS, Databricks, AWS Redshift, and AWS S3 used as a data lake
●Experience presenting technical problems, especially data related problems, in a fashion easily consumed by non-technical audiences
●Proven knowledge of schema migration or database change management tooling with Microsoft SQL Server or other database technologies
●Ability to work autonomously and utilize ticketing tools like Jira or similar to document and deliver work according to guidelines based on agile practices
●Understanding of data collection, cleanup, and usage for the purposes of machine learning or AI driven applications
Education/Special Training:
●Computer-related bachelor’s degree or equivalent data platform engineering experience
●Technical certifications that demonstrate the skills listed above such as cloud professional or specialty certifications (preferably AWS), data platform certifications (such as DataBricks), or other applicable certifications
●Accountability – takes ownership of assigned work and responsibilities, follows through, and closes the loop
●Communication – clearly expresses thoughts and ideas both in written and verbal communications, provides timely information
●Financial Acumen – Considers financial impact of all decisions
●Integrity – Can admit mistakes, is direct and truthful
●Customer Service – demonstrates a “customer-first” mentality, focused on meeting the needs of customers and captures feedback to make improvements
●Priority Setting – Prioritizes assigned schedules and workload
●Team Building – Mentors newer technicians, facilitates clear communication amongst the team, demonstrates care and respect for co-workers and colleagues
●Giving Feedback – Provides constructive feedback towards department goals and activities, helps to foster growth within the team
Safety Requirements:
●Abide and follow our Injury & Illness Prevention Program
●Ontime completion of safety trainings assignments
Physical Requirements:
●The Data Platform Engineer must be able to speak, hear, see, read, write, type, dial, reach, and bend. Lift 50 lbs.
Classification:
FLSA: Exempt or Non-Exempt
**Note: This position description does not list every activity, duty, and responsibility of the position and may be altered by RENOVO at any time.
EEO Statement
RENOVO Solutions provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, RENOVO Solutions complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
Employee signature below constitutes employee’s understanding of the requirements, essential functions and duties of the position. Also, signature acknowledges that a change in duties with or without notice can occur at any time.
Employee is an “at-will” employee, and this does not act as a contract of employment.