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Everhealth – Senior Data Engineer (Remote, US)

Senior Data EngineerEverCommerce [Nasdaq: EVCM] is a leading service commerce platform, providing vertically tailored, integrated SaaS solutions that help more than 690,000 global service-based businesses accelerate growth, streamline operations, and increase retention. Our modern digital and mobile applications create predictable, informed, and convenient experiences between customers and their service professionals. Specializing in Home & Field Services, Health Services, and Fitness & Wellness industries, EverCommerce solutions include end-to-end business management software, embedded payment acceptance, marketing technology, and customer engagement applications.EverHealth, a division of EverCommerce, is seeking a Senior Data Engineer to make significant contributions to our EverHealth EHR Product Reporting and Analytics capabilities. We are seeking a Senior Data Engineer to focus on designing, implementing, maintaining and enhancing our data warehouse and data pipelines (per brand) for the purpose of incorporating in-application operational reporting and analytics into our products. This role presents an opportunity to work with multiple brands under the Everhealth umbrella, including different technology stacks, customer use cases, and data sources. Success in this role will drive improved healthcare efficiency and ultimately better patient care.The EverHealth vertical of EverCommerce provides products and services to healthcare professionals nationwide and includes a range of market-leading products like CollaborateMD, eProvider Solutions, Updox, AlertMD, MD Tech, AllMeds, iSalus Healthcare, and DrChrono.Where:The EverCommerce team is distributed globally, with multiple office locations across the U.S. and Canada. With a widely distributed team, we are used to working remotely across different time zones. This role can be based anywhere in the United States; if you're near one of our offices and want to work in-office, we can set that up, or this role can be 100% remote. You must be eligible to work in the United States in order to qualify for this role. This role may require periodic travel.You:You are passionate about building and delivering scalable enterprise-class cloud-based data pipelines, lakes/warehouses and have a proven track record for turning ideas into sustainable solutions. You have worked in Healthcare IT and understand the wants and needs of a physician clinical solution. You want to interact with stakeholders and partners in all areas of our organization to develop solutions to solve customer business challenges. You are is responsible for ensuring that data is readily available, secure, and accessible to customers when they need it. Data engineering is a synthesis of software engineering and data science, so knowledge of both fields is advantageous.Responsibilities:• Leads and participates in the design, build and management of data infrastructure for optimal extraction, transformation, and loading from a wide variety of data sources.• Create, maintain and evolve Big Data AI/machine learning solutions, using complex healthcare data to produce actionable insights• Ensuring data accessibility at all times while implementing company data policies with respect to data privacy and confidentiality.• Cleaning and wrangling data from primary and secondary sources into formats that can be efficiently utilized by data scientists and other data consumers.• Collaborating with engineering teams, data scientists, and other stakeholders to understand how data can be leveraged to meet business needs.Essential Job Functions:• ETL and Data Pipeline engineering – 60%• Data accessibility, privacy, and policy adherence development – 10%• Data consumption and visualization development – 15%• Domain knowledge gathering – 10%• Meetings/Presentations/Demos – 5%Required Experience:• 7+ years of relevant work experience in Data Engineering/ETL Development.• 7+ years of SQL experience working with large datasets.• 7+ years experience with programming languages like Python, R, Go, and JavaScript.• 5+ years experience with data transformation/wrangling tools such as dbt core, Benthos or similar.• 5+ years leveraging Cloud Technologies (AWS preferred) for data pipelines, analysis and consumption.• 3+ years experience working with columnar data stores such as Amazon Redshift, Snowflake, Google BigQuery.• Strong background in software engineering, algorithms, and application development• Extensive knowledge/experience of database design, data models, techniques for data mining, and segmentation.• Good understanding of data migration and integration techniques (Big-Bang, trickle, lift and shift) and the tools required to perform them.• Experience working with data ingestion tools like Fivetran, AWS DMS, Apache Kafka, Apache Spark.• Experience working with distributed processing of large datasets.• Propensity to overcome challenges and solve “hard” problems.• Internal drive for continuous improvement (knowledge, standards, best practices).• Strong communication skills with the ability to adjust communication to fit the audience.• Relentless desire to deliver, say what you’ll do and do what you say.• Bachelors or Master's Degree in Computer Science, Information Systems, Data Science or related discipline is preferred or equivalent experience.• Knowledge/experience with the Healthcare industry and Healthcare technology.Benefits & Perks:• Flexibility to work where/how you want – in-office, remote, or hybrid• Robust health and wellness benefits• 401k with up to a 4% company match• Flexible and generous paid time off (FTO)• Employee Stock Purchase ProgramCompensation: The target base compensation for this position is $150,000 to $175,000 USD. Final offer amounts will be determined by a variety of factors, including candidate expertise and location, and may vary from this range.EverCommerce is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender identity, sexual orientation, age, marital status, veteran status, or disability status. We look forward to reviewing your credentials and getting to know more about your experience!
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What You Should Know About Everhealth – Senior Data Engineer (Remote, US), EverCommerce

EverHealth, a division of EverCommerce, is on the lookout for a passionate and experienced Senior Data Engineer to join our remote team across the US. Focused on elevating our EverHealth EHR Product Reporting and Analytics capabilities, this role is perfect for someone who thrives on designing, implementing, and enhancing data warehouses and pipelines. Picture yourself working with various brands under the Everhealth umbrella, tackling diverse technology stacks and customer use cases. As our Senior Data Engineer, you'll have the crucial opportunity to impact healthcare efficiency and improve patient care by ensuring that our data infrastructure is robust, readily available, and secure. The position requires solid experience in ETL and a knack for transforming complex healthcare data into actionable insights. Your contributions will not only drive our products' operational reporting but also align seamlessly with our vision to empower service-based businesses. The flexibility to work from any location in the US allows you to strike a perfect work-life balance, whether you prefer the camaraderie of an office, a hybrid model, or 100% remote work. We believe in fostering a supportive environment where continuous improvement is key, and your expertise will be invaluable in guiding our teams to solve customer business challenges and deliver superior data solutions.

Frequently Asked Questions (FAQs) for Everhealth – Senior Data Engineer (Remote, US) Role at EverCommerce
What are the main responsibilities of a Senior Data Engineer at EverHealth?

As a Senior Data Engineer at EverHealth, your main responsibilities will include leading the design and management of data infrastructure, creating and maintaining AI/machine learning solutions, ensuring data accessibility while upholding data privacy standards, and collaborating with engineering and data science teams to leverage data for business needs.

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What qualifications are required for the Senior Data Engineer position at EverHealth?

To qualify for the Senior Data Engineer role at EverHealth, candidates should have at least 7 years of experience in Data Engineering and SQL, proficiency in programming languages such as Python and JavaScript, and experience with cloud technologies, particularly AWS. A bachelor's or master's degree in Computer Science or a related field is preferred, as well as knowledge in the healthcare industry.

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Can you explain the data pipeline engineering responsibilities of the Senior Data Engineer at EverHealth?

The Senior Data Engineer at EverHealth will spend approximately 60% of their time on ETL and data pipeline engineering, which involves extracting, transforming, and loading data from various sources, ensuring that it is ready for analysis and business intelligence purposes effectively.

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What is the work arrangement for the Senior Data Engineer position at EverHealth?

The Senior Data Engineer position at EverHealth offers flexible work arrangements, allowing candidates to work fully remotely from anywhere in the United States. If you prefer to be in the office and are near one of our locations, a hybrid model can also be set up.

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What benefits can a Senior Data Engineer expect when working at EverHealth?

As a Senior Data Engineer at EverHealth, you will enjoy a range of benefits, including robust health and wellness packages, a 401k with up to a 4% company match, generous paid time off, and the flexibility to work from home or the office. Additionally, we encourage a culture of continuous development and growth.

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Common Interview Questions for Everhealth – Senior Data Engineer (Remote, US)
What experience do you have with SQL in data engineering?

In answering this question, highlight your years of experience working with SQL, the types of databases you have used, and specific projects where SQL played a key role in data extraction and transformation.

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Can you describe your experience with ETL processes?

Detail your hands-on experience with ETL tools and processes, explaining how you've managed data extraction, transformation, and loading in previous projects, showing your understanding of workflow and data integrity.

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How do you ensure data security and privacy in your engineering projects?

Discuss the measures you take to protect data in transit and at rest, your knowledge of data encryption techniques, and how you comply with regulations like HIPAA when working with sensitive healthcare data.

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What tools do you use for data visualization?

Mention the data visualization tools you have experience with, how you used them to interpret complex data sets, and provide examples of projects where data visualization made a significant impact.

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Explain a complex data problem you solved.

Share a specific challenge you encountered in data engineering and detail your approach to problem-solving, the methodologies you applied, and the outcome of your efforts.

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How do you collaborate with data scientists and stakeholders?

Describe your communication strategies, emphasize teamwork, and give examples of projects where you worked collaboratively to meet business objectives through data.

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Can you detail your experience with cloud-based data pipelines?

Discuss your familiarity with cloud services such as AWS, emphasizing specific technologies you've used to build data pipelines and how these have improved data availability and accessibility.

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What programming languages do you prefer for data engineering and why?

Identify your preferred programming languages for data engineering tasks and explain why, emphasizing factors such as efficiency, ease of use, and project suitability.

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Describe your process for data cleaning and wrangling.

Detail the steps you take in data cleaning and wrangling, including tools used, techniques applied, and the importance of clean data in the analytics process.

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How do you stay updated on industry best practices in data engineering?

Share your strategies for continuous learning, such as attending conferences, participating in online courses, or reading current publications related to data engineering to stay informed of trends and best practices.

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EverCommerce (Nasdaq: EVCM) is a leading service commerce platform, providing vertically-tailored, integrated SaaS solutions that help more than 600,000 global service-based businesses accelerate growth, streamline operations, and increase retenti...

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Full-time, remote
DATE POSTED
December 12, 2024

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