Data Engineer II
Remote, United States
Overview
Now is the time to join us!
We’re Personify Health. We’re the first and only personalized health platform company to bring health, wellbeing, and navigation solutions together. Helping businesses optimize investments in their members while empowering people to meaningfully engage with their health. At Personify Health, we believe in offering total rewards, flexible opportunities, and a diverse inclusive community, where every voice matters. Together, we’re shaping a healthier, more engaged future.
Responsibilities
Data Engineer II sought by Personify Health in Providence RI to perform the following duties:
- Perform development activities within a data engineering team and help guide, onboard, and train Data Engineer I.
- Work closely with account management, ETL, data warehouse, business intelligence, and reporting teams to develop data pipelines and enhancements and investigate and troubleshoot issues.
- Extract, clean, and load data.
- Build data pipelines using SQL, Kafka, and other technologies.
- Investigate and document new data sets.
- Triage incoming bugs and incidents.
- Perform technical operation tasks.
- Investigate and troubleshoot issues with data and data pipelines.
- Participate in sprint refinement, planning, and kick-off to help estimate stories, raise awareness and additional implementation details.
- Help monitor areas of the data pipeline and raise awareness to team when issues arise.
- Perform and implement new quality assurance rules to maintain consistent and accurate data.
- Telecommuting Permitted.
You’ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Qualifications
Minimum Requirements: Bachelor’s degree in computer science, information systems or a related field, and two years of experience in the field of Data Engineering.
Job Requirements:
Two years of experience must include:
- Experience with modern relational and non-relational models and differences between them.
- Writing complex SQL, including pivots, window functions, and complex date calculations.
- Utilizing Excel and several analytical tools such as Tableau, MicroStrategy, and PowerBI.
- Utilizing REST API and JSON and ability to parse that data and convert into relational models.
- Utilizing Python programming language.
- AWS Lambda / Console experience.
- Git experience.
Worksite: Telecommuting Permitted. Salary: Salary: $87,940.32 - $117,300.04 per yr.
We strive to cultivate a work environment where differences are celebrated, and employees of all backgrounds are empowered to thrive. Personify Health is committed to driving Diversity, Equity, Inclusion and Belonging (DEIB) for all stakeholders: employees (at each organization level), members, clients and the communities in which we operate. Diversity is core to who we are and critical to our work in health and wellbeing.
#WeAreHiring #PersonifyHealth
Beware of Hiring Scams: Personify Health will never ask for payment or sensitive personal information such as social security numbers during the hiring process. All official communication will come from a verified company email address. If you receive suspicious requests or communications, please report them to talent@personifyhealth.com. All of our legitimate openings can be found on the Personify Health Career Site.
Application Deadline: Open until position is filled.
ApplyJob Profile
Diverse inclusive community Flexible opportunities Inclusive community Recognition for performance Total Rewards
Tasks- Develop data pipelines
- Implement quality assurance rules
- Onboard and train junior engineers
- Troubleshoot data issues
- Troubleshoot issues
Account management Analytical AWS Lambda Communication Data engineering ETL Excel Git JSON Kafka MicroStrategy Organization PowerBi Python Quality Assurance Reporting REST API SQL Tableau Technical
Experience2 years
EducationBachelor's degree Business Management Related Field
TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9