We are seeking a highly skilled Staff Data Engineer to join our dynamic team. The ideal candidate will have a strong background in data engineering, with expertise in designing and implementing scalable and efficient data pipelines. The Staff Data Engineer will play a crucial role in the development and maintenance of our data infrastructure, ensuring the availability and integrity of data for various analytical and business intelligence needs.

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A day in the life!​

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You will be responsible for the following:​

• Design, develop, and maintain robust and scalable ELT pipelines for collecting, processing, and storing large volumes of structured and unstructured data.

• Collaborate with cross-functional teams, including data scientists, solution analysts, and software engineers, to understand data requirements and implement solutions that meet business needs.

• Optimize and tune existing data pipelines for performance, reliability, and efficiency.

• Implement data governance and security best practices to ensure the confidentiality and integrity of sensitive data.

• Recommend innovative solutions to enhance our data infrastructure.

• Mentor and guide junior members of the data engineering team, providing technical leadership and expertise.

• Will be required to attend to on-call duties when scheduled in tiered rotation with other team members. This will involve getting system alerts on your personal phone and responding to them within a stipulated time period based on the on-call tier.

Do you have what it takes?​

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Required Qualifications:​

• Bachelor's degree in a related field or comparable work experience

• 8-10 years related work experience

• Proven experience as a Data Engineer, with a focus on designing and implementing data pipelines.

• Proficiency in SQL and NoSQL and database management systems like PostgreSQL, DynamoDB, FireStore.

• Proficiency in at least one of the two cloud platforms AWS or Google Cloud, and their data services.

Do you stand above the rest?​

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Preferred Qualifications:​

• Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.

• Proficiency in Datawarehouse like BigQuery

• Familiarity with BI Tools like Looker, SiSense, Tableau

• Excellent problem-solving and communication skills.

• Ability to work independently and collaboratively in a fast-paced environment.

• Certification in Data Engineering or related fields.

• Knowledge of machine learning concepts and frameworks.

• Programming skills in languages such as Python, Ruby, or Java.

• Knowledge of the Healthcare Domain

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#LI-KA1

#LI-Remote​

WellSky is where independent thinking and collaboration come together to create an authentic culture. We thrive on innovation, inclusiveness, and cohesive perspectives. At WellSky you can make a difference.

WellSky provides equal employment opportunities to all people without regard to race, color, national origin, ancestry, citizenship, age, religion, gender, sex, sexual orientation, gender identity, gender expression, marital status, pregnancy, physical or mental disability, protected medical condition, genetic information, military service, veteran status, or any other status or characteristic protected by law. WellSky is proud to be a drug-free workplace.

Applicants for U.S.-based positions with WellSky must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. Certain client-facing positions may be required to comply with applicable requirements, such as immunizations and occupational health mandates.

Here are some of the exciting benefits full-time teammates are eligible to receive at WellSky:

• Excellent medical, dental, and vision benefits

• Mental health benefits through TelaDoc

• Prescription drug coverage

• Generous paid time off, plus 13 paid holidays

• Paid parental leave

• 100% vested 401(K) retirement plans

• Educational assistance up to $2500 per year