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Senior Data Engineer

About ShiftKey

ShiftKey is a platform that is disrupting the way healthcare facilities find licensed and certified professionals to fill available shifts. Leveraging marketplace dynamics and deep industry knowledge, the company is playing a vital role in mitigating America’s healthcare staffing shortages, enabling direct connections between facilities and healthcare professionals. By offering the opportunity to work as much or as little as they choose and putting the power back into the hands of healthcare workers, ShiftKey is bringing more licensed professionals back into the workforce, a solution that is solving a major crisis in healthcare. For more information, visit www.ShiftKey.com.

The role

As a Senior Data Engineer, you’ll play a key role in improving our data infrastructure and building self-service data products. You’ll be responsible for designing, building, and maintaining scalable data pipelines that can handle large volumes of data. You’ll collaborate closely with cross-functional teams, including data scientists, analysts, software engineers, and other stakeholders, to make sure the data is accessible, reliable, and ready for analysis. This is a great opportunity to make a big impact on how data is used across the company!

Where you’ll work

To be considered for this position, you must be located in the US. You can choose to work remotely or from our offices in Austin or Dallas.

What you’ll be doing

  • Designing, developing, and optimizing robust, scalable, and high-performance data pipelines to ingest, process, and transform structured and unstructured data from various sources.

  • Collaborating with data architects and analysts to design and implement data models that support efficient data storage, retrieval, and analytics.

  • Managing and optimizing cloud-based or on-premises data storage and processing platforms (e.g., dbt, AWS, Snowflake, Fivetran), ensuring security, scalability, and reliability.

  • Monitoring and troubleshooting data pipelines, addressing performance bottlenecks and system failures.

  • Collaborating with data governance teams to enforce data security, privacy, and compliance policies.

  • Staying current with emerging data engineering technologies, tools, and best practices, and recommending relevant enhancements to existing processes and systems.

  • Proactively identifying opportunities to enhance data processing efficiency and reduce latency.

What you’ll need

  • 6+ years of experience in a Data Engineer or similar Data Engineering role.

  • Advanced ability to design and implement data pipelines and ELT/ETL processes using Fivetran or Airflow.

  • Hands-on experience with programming languages such as Python, JavaScript, or other similar languages.

  • Hands-on experience with cloud platforms (AWS, GCP, or Azure) and related services (e.g., S3, Snowflake, or BigQuery).

  • In-depth knowledge of database technologies (SQL) and data warehousing concepts.

  • Hands-on experience with data orchestration tools (e.g., Apache Airflow) and workflow automation.

  • Strong understanding of data modeling, integration, and governance principles (e.g., dbt).

  • Excellent problem-solving skills and the ability to troubleshoot complex data-related issues.

  • Strong communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.

Perks of working for ShiftKey

  • Inclusive and collaborative work environment

  • Comprehensive health, vision, and dental coverage

  • Benefits effective as of the first day

  • Progressive PTO & Company-paid holidays with a broad selection of floating holidays to honor employees’ diverse needs

  • 100% 401(k) employer match up to 6%

  • Paid parental leave

  • Investment in your wellness: access to mental health support

#LI-Remote #LI-AT1

Our Commitment to Diversity

ShiftKey is an equal opportunity employer and is committed to embracing diverse and individual perspectives shaping our culture and contributing to the solutions that transform the world. We actively work to create an inclusive environment for employees to thrive. 

EEO Statement

ShiftKey does not discriminate based on race, religion, color, sex, gender, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by applicable law. All employment is decided based on qualifications, merit, and business needs.  ShiftKey is committed to providing reasonable accommodation to applicants with a mental or physical disability, please contact: accommodations@shiftkey.com 

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CEO of Shiftkey
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Average salary estimate

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What You Should Know About Senior Data Engineer, Shiftkey

At ShiftKey, we're redefining how healthcare facilities connect with dedicated licensed professionals through our innovative platform. As a Senior Data Engineer, you will be at the forefront of enhancing our data infrastructure and crafting self-service data products that empower our teams. This exciting role invites you to design, build, and maintain robust data pipelines that efficiently manage vast amounts of information. You'll collaborate with a vibrant team of data scientists, analysts, and developers to ensure our data is both reliable and readily accessible for insightful analysis. Imagine the impact your work will have on improving healthcare staffing solutions! With the flexibility of remote work or the possibility of joining us in our Austin or Dallas offices, you’ll find a supportive and collaborative environment that values your insights. Your responsibilities will include optimizing data pipelines, managing cloud-based storage, and continuously monitoring performance to ensure top-notch efficiency. If you have a passion for problem-solving and a knack for data engineering with tools like AWS, Snowflake, and Airflow, this opportunity is perfect for you. Join us, and together we can tackle the biggest challenges in healthcare while empowering professionals to bring their talents back into play. ShiftKey offers an inclusive workspace with exceptional benefits from day one, ensuring your well-being is a priority. Let’s innovate healthcare together!

Frequently Asked Questions (FAQs) for Senior Data Engineer Role at Shiftkey
What does a Senior Data Engineer do at ShiftKey?

At ShiftKey, a Senior Data Engineer plays a pivotal role in enhancing our data infrastructure. They design and build scalable data pipelines to efficiently process both structured and unstructured data, ensuring that data is accessible and reliable for analytics. Collaborating with cross-functional teams, they also oversee data storage and optimize cloud or on-premises platforms, ensuring compliance with data governance standards.

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What skills are required for the Senior Data Engineer position at ShiftKey?

To excel as a Senior Data Engineer at ShiftKey, candidates should have over 6 years of experience in data engineering, with strong abilities in designing ETL processes and a deep understanding of cloud platforms like AWS and GCP. Proficiency in programming languages such as Python and knowledge of data modeling and governance principles are essential for success in this role.

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What technologies does a Senior Data Engineer at ShiftKey work with?

A Senior Data Engineer at ShiftKey works with various technologies including AWS, Snowflake, Apache Airflow, and dbt. They are responsible for managing data pipelines and utilizing powerful data orchestration and cloud services to enhance data processing efficiency within the organization.

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Is there opportunity for professional development as a Senior Data Engineer at ShiftKey?

Yes! ShiftKey is committed to the professional growth of its team members. Senior Data Engineers have the chance to stay current with emerging technologies and best practices, and are encouraged to propose enhancements to existing processes. This commitment to continuous learning ensures that employees can grow in their roles.

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

The work environment for a Senior Data Engineer at ShiftKey is inclusive and collaborative. Employees can choose to work remotely or in our Austin or Dallas offices. Open communication and a team-oriented culture are fundamental to our approach, allowing engineers to collaborate effectively with different departments.

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Does ShiftKey offer benefits for Senior Data Engineers?

Absolutely! ShiftKey offers a comprehensive benefits package effective from day one, including health, vision, and dental coverage, a progressive PTO policy, paid parental leave, and a generous 401(k) match. We prioritize wellness and provide mental health support to our employees as well.

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How can I apply for the Senior Data Engineer position at ShiftKey?

Interested candidates can apply for the Senior Data Engineer position at ShiftKey by visiting our careers page. We encourage you to submit your application alongside your resume highlighting relevant experience and skills that align with our needs for this exciting opportunity.

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Common Interview Questions for Senior Data Engineer
Can you explain your experience with designing data pipelines for large datasets?

When addressing this question, highlight specific projects where you designed robust data pipelines. Mention the tools and technologies you used, the challenges you faced, and how you optimized performance. Providing metrics or results can demonstrate your impact.

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How do you ensure data quality and integrity during data processing?

Discuss your strategies for maintaining data quality, such as implementing data validation techniques, automated testing, and monitoring systems. Mention any tools you utilize for data governance and how you address anomalies when they arise.

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What cloud platforms are you most familiar with and how have you used them in your projects?

Share your hands-on experience with cloud platforms like AWS, GCP, or Azure. Explain how you've leveraged specific services for data storage, processing, or orchestration in previous projects, focusing on the value they added to your work.

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Describe your experience with data orchestration tools like Apache Airflow.

In your answer, provide examples of how you have used Apache Airflow for scheduling and managing data workflows. Highlight your experience with DAGs (Directed Acyclic Graphs), and how you have automated ETL processes.

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What programming languages do you use for data engineering tasks?

Discuss the programming languages you are proficient in, like Python or JavaScript. Provide examples of how you’ve used these languages for scripting, data transformation, or automation tasks in data pipelines.

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How do you handle performance bottlenecks in data pipelines?

Explain your approach to identifying performance issues, including monitoring and profiling techniques. Share experiences where you optimized pipeline performance and the technologies you used to achieve improvements.

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Can you give an example of a data model you've designed and the results achieved?

Share a specific example of a data model you created, detailing the objectives, the tools you used, and how it improved data access or analysis. Focus on the positive impact it had on the organization’s data strategy.

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What strategies do you employ to stay current with data engineering trends?

Discuss your commitment to continuous learning, such as participating in workshops, webinars, or following influential figures in data engineering. Mention relevant publications, blogs, or communities you engage with to stay informed.

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How do you promote collaboration in cross-functional teams?

Highlight your communication strategies, such as regular check-ins, using collaborative tools, and promoting transparency. Share experiences where your collaborative efforts led to successful project outcomes within cross-functional teams.

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What role do you believe data governance plays in data engineering?

Articulate the importance of data governance in ensuring data quality, security, and compliance. Discuss your experience with data governance frameworks and how you have applied them in your previous projects.

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Dental Insurance
Disability Insurance
Flexible Spending Account (FSA)
Vision Insurance
Paid Holidays
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SENIORITY LEVEL REQUIREMENT
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EMPLOYMENT TYPE
Full-time, remote
DATE POSTED
November 24, 2024

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