Data Engineer

Austin, Texas, United States

We are seeking a skilled Data Engineer to join our team and play a pivotal role in developing and maintaining our data infrastructure. The ideal candidate will have a strong background in data management, analytics, and software development, with a focus on ensuring the integrity, reliability, and accessibility of healthcare data. This position offers an exciting opportunity to collaborate with cross-functional teams and contribute to the development of cutting-edge medical device software.

Responsibilities:

  • Design, develop, and maintain scalable data pipelines and ETL processes to support data extraction, transformation, and loading from various sources.
  • Collaborate with data scientists, software engineers, and domain experts to understand data requirements and implement solutions that address business needs.
  • Ensure the security, privacy, and compliance of healthcare data in accordance with regulatory requirements such as HIPAA.
  • Optimize database performance and query efficiency to enable real-time and batch data processing.
  • Develop a data dashboard for use tracking incoming data and any quality issues that may arise.
  • Stay informed about emerging technologies and best practices in data engineering and contribute to continuous improvement initiatives.

Requirements

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • Proven experience in data engineering, with proficiency in Python, SQL, and/or other programming languages.
  • Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform.
  • Proven experience in data visualization and data dashboard creation and maintenance.
  • Excellent communication skills and ability to collaborate effectively in a cross-functional team environment.
  • Experience in the clinical research, healthcare, or medical device industry is a plus.

Hiring Process

1. Applications will close 5/24

2. Will reach out for next steps interview by 5/28

3. First step is a phone screening

4. Followed by two interviews with Senseye team members

5. Additional interviews as needed.

6. Our target is to send an offer letter by 6/3

Benefits

  • The freedom and trust to define your role as we design, build, and ship our products
  • Competitive salary and stock option plan
  • Flexible paid time off (vacation, sick leave, and public holidays)
  • Flexible schedules
  • Company health care plan
    • Medical, dental, and vision insurance
    • Short and long term disability insurance
    • Life insurance policy
  • 401k
  • Commuter benefits for parking, public transit, carshares, etc.
  • Mothers' room
  • Fully stocked kitchen
  • Opportunities for continuing education



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Did you know that often women apply for open jobs only if they think they meet 100 percent of the criteria listed? Men will apply to that same posting if they feel they meet 60 percent of the requirements.

We know that not everyone comes from the same background, has had the same experiences, or education, and we wouldn’t want it any other way. Don’t worry about checking every single box, instead we want you to bring your own unique outlook to the team, whatever that might be!

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: AWS Azure Computer Science Data management Data pipelines Data visualization Engineering ETL GCP Google Cloud Pipelines Privacy Python Research Security SQL

Perks/benefits: 401(k) matching Competitive pay Equity Flex vacation Health care Insurance Medical leave Snacks / Drinks

Region: North America
Country: United States
Job stats:  2  1  0
Category: Engineering Jobs

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