Sr. Data Engineer

PatientPoint®; Cincinnati (OH); Hybrid; USD 80,000 - 120,000; Full time

Job summary

Join a leading digital health company committed to empowering better health outcomes for millions. As a Senior Data Analytics Engineer, you will play a vital role in architecting innovative data solutions that drive intelligent applications. Collaborate with a dynamic team in a hybrid work environment, leveraging cutting-edge tools like Snowflake and AWS. This is an exciting opportunity to make a real impact in the healthcare sector, where your contributions will enhance patient care and improve health outcomes. If you are passionate about data engineering and thrive in a collaborative setting, this role is for you!

Benefits

Flexible time off

Mental and emotional wellness resources

401K plan

Hybrid work options

Comprehensive benefits package

Qualifications

• 5+ years experience in cloud data warehouses and data pipelines.
• Expert-level proficiency in SQL and stored procedure development.
• Advanced experience with Snowflake and data quality initiatives.

Responsibilities

• Architect end-to-end data solutions for business partners.
• Engage with the Data team using scrum framework.
• Lead design and development of data solutions and pipelines.

Skills

SQL

Python

Data Engineering

Data Quality Initiatives

Problem-Solving

Education

Bachelor's degree in Informatics

Bachelor's degree in Business Technology

Bachelor's degree in Analytics

Bachelor's degree in Computer Science

Tools

Snowflake

dbt

Docker

AWS

Airflow

Job description

Join PatientPoint to be part of a dynamic team committed to empower better health. As a leading digital health company, we innovate to positively impact patient behaviors. Our purpose-driven approach offers an inspirational career opportunity where you can contribute to improving health outcomes for millions of patients nationwide.

It is an exciting time to be a member of PatientPoint’s D ata team! Join our expanding the Data team in a dynamic and rapidly evolving domain where collaboratio n isn’t just a buzzword --- it’s our way of life ! Working closely with stakeholders and customers, we've built a self-service data platform that delivers critical insights for informed decision-making across our digital health engagement solutions. In the Data Team we thrive on the collective synergy of diverse minds coming together to tackle challenges and foster an environment of openness that nurtures individual growth where every voice is valued, ideas are shared freely, and teamwork reigns supreme. Together, we're not just building data solutions; we're forging bonds, fostering growth, and achieving remarkable outcomes.

Hybrid Schedule: 3 days in office

Travel Requirements: 3 to 5 times per year

Job Summary
Step into a culture where data is embraced as an asset and everyone, from top executives to frontline team members, understands its importance in achieving strategic objectives. As a Senior Data Analytics Engineer on our hybrid agile scrum team, your responsibilities will be end-to-end encompassing design, analysis, build, orchestration and automation, monitoring performance optimizations, data quality, solution accuracy and compliance throughout the lifecycle.

What You’ll Do

• Responsible for architecting end-to-end data solutions that meet our business partners' expectations and integrate into our Data Platform.
• Engage with the Data team using scrum framework to comprehensively grasp requirements for each deliverable.
• Accountable to follow Data team’s best practices in solution design, build, orchestration and automation, data ingest, monitoring performance optimizations, data quality, solution accuracy and compliance throughout the lifecycle.
• Leverage a modern tool stack including Snowflake, Atlan, Fivetran, Docker, AWS, and Astronomer (Airflow) to cultivate an environment where analysts and data engineers can autonomously enact changes in an automated, thoroughly tested and high-quality manner.
• Lead design, development, prototyping, operations and implementation of data solutions and pipelines.
• Analyze the impact of changes to downstream systems/products and recommend alternatives to minimize the impact.
• Build a deep knowledge in each PatientPoint data information domain.
• Responsible for testing and release process for data pipelines using best practices for frequent releases.
• Participate in Code Reviews
• Mentor and support Data team members new to integrating the modern stack.
• Partner to deliver a data model that aligns with DevOps principles, ensuring and standards for continuous integration/ continuous delivery (CI/CD) processes.
• Drive Results by motivating self and others to exceed goals and achieve breakthrough results while exhibiting persistence to remove barriers to achieving results.
• Develop and maintain data documentation, including data dictionaries, data lineage, and data flow diagrams, best practices and data recovery processes to provide clear visibility into the data ecosystem.

We Need

• 5+ years of experience working on cloud data warehouses and data pipelines with a focus on data engineering, building scalable, sustainable and secure data platforms powering intelligent applications.
• Bachelor's d egree in Informatics , Business Technology, Analytics, Computer Science or a related field .
• 2+ years of h ands-on experience in working with dbt
• 3+ years of hands-on experience with Snowflake.
• Advanced experience in a Data Engineering and ELT Engineering role.
• Expert -level proficiency in SQL query and stored procedure development.
• Competent with Python, Airflow, GitHub and DAG construction .
• Experience with unstructured datasets and ability to handle Parquet, JSON , AVRO and XML file formats .
• Strong understanding of CI/CD principles, DevOps practices, software testing and quality
• Hands-on Experience with cloud-based orchestration tools such as Apache Airflow Astronomer.
• Advanced experience implementing data quality initiatives, monitoring, and auditing.

Desired Qualifications

• Advanced experience working with large data sets and streaming data.
• Basic experience with various patterns of data ingestion, processing, and curation along with various streaming data concepts, such as Kafka.
• Intermediate experience protecting PPI or PHI data during the ELT process, data security and data access controls and design.
• Prior experience as a tech-lead or team lead.
• Exposure to industry standard BI tools like Power BI and Looker.
• Healthcare / Medical Devices domain experience will be an added advantage.

What You'll Need to Succeed

• Solid work ethic embracing our core values of Integrity, Customer Focus, Innovation, Teamwork, and Coachability.
• Expert problem-solving skills and attention to detail with the ability to learn quickly to pick up new skills/concepts.
• Critical thinking and passion for business strategy and building reusable objects.
• Stay current with emerging trends and technologies in data engineering and recommend improvements to existing systems.
• Proactive approach to your work, ability to work independently requiring minimal guidance to deliver on commitments, exceptional the ability to communicate ideas clearly with cross-functional teams and a strong sense of accountability.
• Comfortable presenting complex, technical topics in an actionable manner to technical and non-technical team members within our organization.
• Comfortable with delivering end-to-end solutions in an ever-changing environment.
• We are seeking an individual who infuses innovation into their work. If you bring a passion for exploration, a knack for delivering value through new insights, and an unwavering commitment to fun along the way, we invite you to join us on this exhilarating adventure.

About PatientPoint:
PatientPoint is a leading digital health company that connects patients, healthcare providers and life sciences companies with the right information in the moments care decisions are made. Our solutions are proven to influence patient behavior and improve health outcomes, driving value for all stakeholders. Across the nation’s largest network of connected digital devices in 35,000 physician offices, PatientPoint solutions empower better health for more than 750 million patient visits each year.

Latest News & Innovations:

• Named A Best Place to Work Across Multiple Prestigious Platforms! Read More
• Featured on Built In's article "Companies That Pay Well". Read More
• Now Culture Content Certified by VentureFizz. Read More

What We Offer:
We know you bring your whole self to work every day, and we are committed to supporting our full-time teammates with a comprehensive range of modernized benefits and cultural perks. We offer competitive compensation, flexible time off to recharge, hybrid work options, mental and emotional wellness resources, a 401K plan, and more. While these benefits are available to full-time team members, we strive to create a positive and supportive environment for all teammates.

PatientPoint recognizes that privacy is important to you. Please read the PatientPoint privacy policy , we want you to be familiar with how we may collect, use, and disclose your information. Employer is EOE/M/F/D/V

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