Data Engineer
AArete is one of a kind when it comes to consulting firm culture.
You will be at the forefront of a development process to build a high quality product using AI and machine learning on the cloud. In this role, you will have the opportunity to create a world class product to help reduce costs for our healthcare payers and ensure claims are paid accurately. You will have an opportunity to foster a culture of collaboration and technical expertise with your team and AArete leadership as a subject matter expert.
Why AArete? We are a fast-growing strategy, operations and technology consulting firm due to this the bar is set high at AArete. AArete is guided by our deeply embedded principles: Excellence, Passion, Loyalty to Clients, Stewardship, Family, Community, Sustainability, and Inclusion. We strive to continually improve our work environment to allow for high team member engagement and the ability for all team members to be successful.
- Exciting variety of clients and business challenges from the largest firms in the world to the largest health plans in the country to colleges and universities
- A collaborative culture focused on career and professional development, abundant opportunities with meaningful and impactful experiences.
- Competitive Pay and Benefits competitive salary, unlimited PTO, 401K match, Employee Stock Ownership Plan
At AArete were successfully embracing working in a flexible work environment.We have offices across the globe in Chicago, New York, Los Angeles, Dallas, Denver, DC, London and India. Based on preference, AAretians have the opportunity to work remotely, visit nearby offices or client locations.
AArete is proud to have earned a Great Place to Work Certification. We are named in Vaults Top 50 Firms to Work For, Crain’s Chicago Business Fast 50 for a 3rd year, Inc 5000s Fastest Growing Firms list for 4 consecutive years, Consulting Magazine’s Fastest Growing Firms for the 4 consecutive years, and Forbes Magazines Best Consulting Firms in America list of 2021.
Work youll do
- Understand product needs to define optimal system specifications
- Plan/ design the technology solution, build to scale and remain compliant to security standards
- Communicate system requirements to product engineering teams
- Provide information architecture, data engineering pipeline design, application software, API design and participate in development and production rollout of the solution
- Evaluate and select appropriate tech stack and suggest integration methods & business impact
- Ensure the implementation of agreed architecture and infrastructure
- Work closely with product managers, engineering, and data science teams to oversee product build/ release
- Resolve project challenges involving scope, design, and technical problems when they arise
- Address technical concerns, ideas, and suggestions
- Monitor systems to ensure they meet both user needs and business goals
Requirements
- Degree in Computer Science, Information Technology, or related field
- Minimum of 8 years of hands-on experience with data/system integration/analytics/software life cycle as a Data Engineer within a product development environment
- Experience in conceiving/designing/ architecting/developing data platforms using Big data and cloud technologies in AWS is a plus
- Proficient in designing DWH/ ETL solutions and In-depth knowledge of data models/ structures
- Strong experience on AWS Glue, EMR, Redshift
- Programming skills for data engineering
- Documentation of critical artifacts such as Logical/Conceptual design, Source to Target mapping, System architecture, etc.
- Problem-solving attitude, with a willingness to work in a fast-paced product development environment and a hands-on mentality to do whatever it takes to deliver a successful product
- Experience with working with an on-shore/off-shore model
- Understanding data standardization practices in the pharma domain, integrating Healthcare data, and security related to HIPAA is a plus
- Experience with data and system integration using RESTful APIs, web services, JSON, and XML will be a plus
- Familiarity with data visualization and BI tools is a plus
