Overview
Data Engineers in this role accomplish business objectives by monitoring system functions from all points of system processing, identifying, and assisting in solving processing problems. They will also execute system configuration, transformations, and data mapping. The engineer works closely with internal partners to provide technical assistance on products and services, department reporting and process trending. They are responsible for utilizing internal data sources to perform in-depth research and analysis on client data inquiries, execute a varying level of implementation functions such as testing new file extracts, providing defect and enhancement support to development and product teams.
Must be bilingual in English and Spanish; all interviews will be conducted in English. Role will be located in our Mexico City office and can work hybrid (2 days a week) after 90 days of successful employment.
If you are interested in applying, please submit a resume in English.
Responsibilities
- Data Engineering
- Assist in code deployment and new client system implementations, including data transfer and user administration.
- Collaborate with database programmers and QA analysts to test, clean, and standardize data to meet the business requirements.
- Identifies, communicates, and resolves data quality and data reconciliation issues
- Participates in and supports all planning and problem resolutions
- Have the confidence to work cross-functionally with various departments including business stakeholders and technical personnel to exchange ideas
- Work with product and technical teams to understand the business requirements and build scalable and sustainable enterprise reporting solutions.
- Demonstrate through proof of concepts and present them to stakeholders. Formulate and provide recommendations. Promote Self-Service BI.
- Mentor, develop and train team members and end users
- Assists in implementing effective business analytics practices that drive improved decision making, efficiency and performance
- General
- Works collaboratively with technical staff and reporting officials to resolve data discrepancies and/or to clarify reporting procedures
- Build effective partnerships with coworkers throughout the organization by freely sharing appropriate information and aiding when needed
- Processes data extracts using data retrieval and management tools
- Assists with other duties as assigned
- Protect confidential information
- Ability to work well independently or in a team environment
- Maintains an accurate and comprehensive inventory of data, data systems, data architecture, and data storage.
- A bias towards self-education of new technologies, techniques and methods
- Test-and-learn mentality – you pivot quickly when an approach is not successful
- Ability to work long and extended hours as needed.
- Complete all responsibilities as outlined in the annual Performance Plan.
- Complete all special projects and other duties as assigned.
- Must be able to perform duties with or without reasonable accommodation.
- Complete all responsibilities as outlined in the annual performance review and/or goal setting.
- Complete all special projects and other duties as assigned.
Qualifications
- Fully Bi-Lingual (both written and verbal)
- Bachelor’s degree in engineering in IT/ Electronics / Communication / Computer Science / Information Systems preferred
- 2-4 years’ experience, or knowledge of, data aggregation and linking.
- 2+ years of working knowledge of RDBMS (Oracle, MS SQL Server, Vertica, etc.) and experience using SQL, PL/SQL or other data integration/ETL tools.
- Design and implement scalable Hadoop-based data workflows using HDFS, Hive, and Spark for efficient data processing.
- Databricks environment familiarity
- Knowledge of Microsoft Office Suite, including PowerPoint, Word, Excel, Outlook and Project.
- Ability to analyze data with a high level of detailed accuracy and identify root causes of issues using queries.
- Strong analytical and troubleshooting skills
- Strong understanding of Agile methodologies preferred.
- Knowledge of SQL and data warehousing concepts
- Knowledge of coding and ability to follow best practices while developing and deploying codes.
- Ability to use presentation, word processing, and database or spreadsheet software
- Conduct application testing and provide database management support
- Experience working with large data
- Knowledge in relational database design
- Strong healthcare analysis background and experience preferred
- Critical thinking is a must. Problem solving skills with the ability to look for root causes and implementable, workable solutions
- Excellent listening, interpersonal, communication and problem-solving skills.
- Recommend and drive development best practices and continuous integration and delivery as part of a forward-thinking, agile organization
- Remove roadblocks to development through collaboration, communication, and creative solution recommendations
- Effective time management skills, including demonstrated ability to manage and prioritize multiple tasks and projects.
- Demonstrated ability to work independently and be a self-starter.
- Ability to work well within a team and with other developers
- A minimum of 3 years’ experience in Health Care and Claims Processing Systems is preferred.
- Experience with stakeholder management is preferred
- Experience in the agile/Kanban environment is a must
- Experience mentoring more junior resources is preferred
NOTE: All interviews will be conducted in English.
Base compensation ranges from $36,000 to $50,000 pesos per month. Specific offers are determined by various factors, such as experience, education, skills, certifications, and other business needs.
Cotiviti offers team members a competitive benefits package to address a wide range of personal and family needs.
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