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Data Engineer II

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.

Average salary estimate

$102620 / YEARLY (est.)
min
max
$87940K
$117300K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Data Engineer II, Personify Health

Are you ready to take your skills to the next level? Join Personify Health as a Data Engineer II and play a crucial role in shaping the future of personalized health. We are looking for a talented individual to work remotely, where you will become a vital member of our data engineering team. You will have the opportunity to guide and onboard junior engineers while collaborating closely with various teams, including account management and business intelligence, to develop and optimize our data pipelines. Your proficiency in SQL, Kafka, and Python will shine as you extract, clean, and load data, investigate new data sets, and troubleshoot issues that arise within our systems. Here, at Personify Health, we’re dedicated to creating a culture that embraces diversity, where every voice is valued, and your contributions will truly make a difference. Plus, we offer a flexible work environment and robust rewards for your efforts. If you're passionate about data and health and want to be part of something meaningful, we want to hear from you!

Frequently Asked Questions (FAQs) for Data Engineer II Role at Personify Health
What are the primary responsibilities of a Data Engineer II at Personify Health?

As a Data Engineer II at Personify Health, your primary responsibilities include developing data pipelines, guiding and providing training for junior Data Engineers, and collaborating with cross-functional teams to troubleshoot data-related issues. You will also be involved in extracting, cleaning, and loading data, as well as implementing quality assurance rules to ensure data accuracy.

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What qualifications are required for the Data Engineer II position at Personify Health?

To qualify for the Data Engineer II role at Personify Health, you need a Bachelor's degree in computer science or a related field, along with two years of hands-on experience in data engineering. Key requirements include proficiency in SQL, experience with analytical tools like Tableau and PowerBI, and a solid understanding of both relational and non-relational data models.

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What tools and technologies should a Data Engineer II at Personify Health be familiar with?

A Data Engineer II at Personify Health should be familiar with modern data processing tools and technologies such as SQL, Kafka, Python, and AWS services. Knowledge of data manipulation using REST API and JSON, as well as experience with Git for version control, is also essential for this role.

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Is remote work an option for the Data Engineer II role at Personify Health?

Yes, the Data Engineer II position at Personify Health is a remote opportunity. We offer flexible work arrangements, allowing you to balance your professional responsibilities with your personal life while being part of an inclusive community.

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What is the salary range for the Data Engineer II position at Personify Health?

The salary range for the Data Engineer II position at Personify Health is between $87,940.32 and $117,300.04 per year. This competitive salary reflects our commitment to recognizing and rewarding your skills and contributions to our team.

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Common Interview Questions for Data Engineer II
Can you describe your experience with SQL and how it applies to data engineering?

In preparing for this question, showcase your proficiency in writing complex SQL queries, including pivots and window functions. Discuss specific projects where you’ve utilized these skills to solve data-related challenges, emphasizing how they contributed to functional data workflows.

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How do you handle data inconsistencies or discrepancies in pipelines?

When faced with data inconsistencies, it’s vital to conduct a thorough investigation. Describe your systematic approach to triaging bugs, running diagnostics, and collaborating with team members to ensure that issues are resolved efficiently. Provide examples of how you’ve previously identified and resolved discrepancies.

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What experience do you have with data visualization tools?

Discuss your hands-on experience with data visualization tools like Tableau or PowerBI, highlighting how you have used them to present data insights effectively. Mention specific projects where your visualizations added value and helped stakeholders make informed decisions.

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Describe a situation where you had to learn a new technology quickly.

Provide a specific example of a time when you were introduced to a new technology, such as Kafka or Python, and successfully learned it under tight deadlines. Highlight the steps you took to learn and apply it to a project, demonstrating your adaptability and willingness to grow.

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How do you prioritize tasks when facing multiple deadlines?

Explain your method for prioritizing tasks effectively, potentially using project management tools or collaborative team systems. Illustrate how you balance workload with necessary communication among your team to ensure that all critical deadlines are met without sacrificing quality.

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What strategies do you use for ensuring data quality in your projects?

Discuss specific strategies you implement to maintain data quality, such as performing data validation checks, implementing workflows to monitor data integrity, and developing quality assurance rules. Provide examples of how these strategies have improved the accuracy of your projects.

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Can you explain a challenging data project you’ve worked on?

Share a detailed account of a challenging data project, focusing on the complexity of the data involved, the specific challenges you faced, and the solutions you implemented. Highlight the successful outcome of the project and any lessons learned that will be beneficial for future endeavors.

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How do you stay updated on the latest trends in data engineering?

Emphasize the importance of continuous learning in the field of data engineering. Mention any relevant blogs, courses, or networking events you engage in regularly. This demonstrates your commitment to growth and the ability to bring fresh ideas to the role.

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What role do you think communication plays in data engineering?

Articulate the necessity of effective communication in data engineering, especially when collaborating with cross-functional teams. Discuss how you ensure clarity in conveying complicated data concepts to non-technical stakeholders, fostering collaboration and understanding.

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What motivates your passion for data engineering?

Share your enthusiasm for data engineering and how you see it aligning with broader goals of making impactful decisions based on data. Reflect on personal experiences or projects that highlight why you find this field enriching, motivating, and aligned with future aspirations.

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DATE POSTED
March 27, 2025

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