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Senior Data Engineer

About the role

Topography Health is seeking a highly skilled and patient-focused Senior Data Engineer to join our dynamic team. In this pivotal role, you will be responsible for building and optimizing big data pipelines, architectures, and data sets that drive our mission to improve patient outcomes through innovative clinical research. A key focus of this role is integrating Electronic Health Records (EHR) using FHIR standards and APIs across various systems. You will leverage your expertise to enhance our existing integrations—without the need to build from scratch—facilitating seamless data flow and contributing to improved patient recruitment and data-driven decision-making in clinical trials.


As a Senior Data Engineer, you will collaborate closely with cross-functional teams—including Data Science, Product, Software Engineering, Clinical Operations, and Business Operations—to ensure robust and efficient data pipelines that are compliant with HIPAA regulations. Your experience with data pipelining, SQL, Snowflake, and familiarity with tools like Airflow and Metabase will be essential. You will foster a collaborative environment, and contribute to scaling our data infrastructure. This role is more than just technical execution; it's an opportunity to make a significant impact on patient care and clinical research.


Key Responsibilities:

Implement and optimize integrations with Electronic Health Records (EHR) using FHIR standards and APIs.

Enhance and maintain existing EHR integrations in an EMR/EHR agnostic environment without building from scratch.

Build and optimize scalable data pipelines and architectures for extracting, loading, transforming, (ELT) data from various sources.

Ensure data pipelines are robust, efficient, and compliant with HIPAA regulations.

Perform data exploration to understand data patterns and anomalies.

Debug and resolve issues related to data inconsistencies and pipeline failures.

Work closely with Data Scientists, Software Engineers, Product Managers, and end-users such as Clinical Research Coordinators (CRCs) and Engagement Managers.

Understand and translate business requirements into technical solutions.

Participate in building and auditing our data infrastructure, including data warehouses and reporting stacks.

Utilize modern data tools like SQL, Snowflake, and Metabase; familiarity with Airflow is a plus.

Implement best practices for data security and compliance, focusing on HIPAA requirements.

Proactively identify and address security vulnerabilities within data pipelines.

Provide guidance and mentorship to junior data engineers as the team grows.

Foster a collaborative and knowledge-sharing environment.

Proactively suggest improvements to existing data processes and infrastructure.

Implement data solutions in a cost-effective manner, optimizing for performance and resource utilization.


Minimum Qualifications:

3+ years of professional work experience in healthcare data engineering

3+ years of experience with EHR integrations using FHIR standards and APIs

3+ years of experience with relational databases and SQL

3+ years of experience with cloud-based infrastructure (AWS preferred)

3+ years programming proficiency in Python.

3+ years of experience with Snowflake experience

3+ years of experience with Metabase

3+ years of experience with any type of SQL databases

3+ years of experience with HIPAA compliance

Located in NYC, NY/Madison, WI/Los Angeles, CA/Nashville, TN/San Francisco, CA

Ability to travel 15-25%


Preferred Qualifications:

3+ years of experience with Airflow


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Average salary estimate

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$100000K
$140000K

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What You Should Know About Senior Data Engineer, Topography Health

Topography Health is excited to invite a dedicated and experienced Senior Data Engineer to our remote team! This is a unique opportunity to play a crucial role in enhancing patient care through innovative clinical research by building and optimizing our big data pipelines and architectures. You'll leverage your expansive knowledge by integrating Electronic Health Records (EHR) using FHIR standards and APIs across diverse systems. What sets this role apart is your contribution to improving current data integrations, allowing you to work smarter, not harder, as you facilitate seamless data flow that directly supports patient recruitment and data-driven decisions in clinical trials. Collaborating closely with cross-functional teams such as Data Science, Product, Software Engineering, and Clinical Operations ensures you’ll be part of a supportive and dynamic environment where your expertise will shine in maintaining robust and compliant data pipelines. You’ll interact with modern tools like SQL, Snowflake, and Airflow while fostering collaboration and developing junior engineers as our team expands. This isn’t just about meeting technical specs; it's about making a lasting impact in the healthcare sector. Join us on this exciting journey at Topography Health and help us reshape the future of patient outcomes with your passion for data engineering.

Frequently Asked Questions (FAQs) for Senior Data Engineer Role at Topography Health
What are the key responsibilities of a Senior Data Engineer at Topography Health?

As a Senior Data Engineer at Topography Health, your key responsibilities will include implementing and optimizing EHR integrations using FHIR standards and APIs, building scalable data pipelines, and ensuring data flows are both robust and HIPAA compliant. You will collaborate with various teams to translate business requirements into technical solutions and contribute to the auditing of our data infrastructure.

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What qualifications are required for a Senior Data Engineer position at Topography Health?

To qualify for the Senior Data Engineer position at Topography Health, you need at least 3 years of experience in healthcare data engineering, specifically with EHR integrations, relational databases, and SQL. Proficiency in cloud-based infrastructure, particularly AWS, along with strong skills in Python, Snowflake, and Metabase is also required.

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What tools and technologies should a Senior Data Engineer at Topography Health be familiar with?

A Senior Data Engineer at Topography Health should be familiar with modern data tools, including SQL, Snowflake, Airflow, and Metabase. You will be utilizing these tools to build and optimize data pipelines and ensure efficient data extraction, loading, and transformation processes.

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How does the Senior Data Engineer contribute to patient outcomes at Topography Health?

The Senior Data Engineer at Topography Health plays a pivotal role in enhancing patient outcomes by optimizing data integrations and pipelines that facilitate data-driven decision-making in clinical trials. Your work will directly impact patient recruitment and the overall effectiveness of clinical research initiatives.

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What is the work environment like for a Senior Data Engineer at Topography Health?

The work environment for a Senior Data Engineer at Topography Health is collaborative and dynamic. You will be working remotely, closely interacting with cross-functional teams, including Data Science, Product, and Software Engineering, in a setting that fosters knowledge sharing and innovation.

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Common Interview Questions for Senior Data Engineer
Can you describe your experience with EHR integrations using FHIR standards?

When answering this question, provide specific examples of projects where you've integrated EHR systems using FHIR. Discuss the challenges you faced and how you overcame them, along with the impacts those integrations had on the organization or patient outcomes.

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How do you ensure compliance with HIPAA regulations when working with healthcare data?

For this question, emphasize your understanding of HIPAA requirements and the best practices you've implemented to ensure compliance. Discuss strategies like data encryption, access control, and regular audits to ensure that your data handling is secure.

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What experience do you have with building scalable data pipelines?

Detail your approach to building scalable data pipelines, including the tools and techniques you used, such as SQL and Snowflake. Highlight any specific instances where scalability was crucial, and how you achieved efficiency in data processing.

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How do you approach debugging data pipelines?

Explain your systematic approach to bug fixing, including how you identify and analyze data inconsistencies. Highlight any debugging tools or methods you prefer and how they have made a difference in your ability to maintain seamless data operations.

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Can you give an example of a challenging data project you've worked on?

Share a specific example that illustrates your capability. Discuss the project's goals, your role, the challenges you encountered, and the successful outcomes. This paints a picture of your problem-solving skills and creativity in tackling complex issues.

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What programming languages are you proficient in, and how have you applied them?

Mention your proficiency in programming languages such as Python and SQL. Provide specific examples of how you've used these languages to automate tasks, streamline data processes, or manipulate data for analysis.

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How do you handle working with cross-functional teams?

Discuss your experience and techniques for effective communication and collaboration with cross-functional teams, citing examples where teamwork led to successful project outcomes. Mention specific roles that were critical to those collaborations, such as Data Scientists or Product Managers.

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What strategies do you use for data security in your pipelines?

Outline your strategies for maintaining data security, such as implementing access controls, encryption, and regular monitoring of data access. Discuss your proactive approach to identifying vulnerabilities and responding to security incidents.

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How have you contributed to mentoring junior data engineers?

Provide examples of how you've mentored or guided junior engineers in their career development. Discuss the methods you used to share knowledge and foster a supportive learning environment.

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What motivates you to work in healthcare data engineering?

Share your passion for healthcare and how your work as a data engineer allows you to make a meaningful impact on patient care and outcomes. Personal stories or experiences can enhance your answer and resonate with interviewers.

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EMPLOYMENT TYPE
Full-time, remote
DATE POSTED
December 4, 2024

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